Exploratory Data Analysis

Flexible emotional responsiveness in trait resilience

Waugh, C. E., Thompson, R. J., & Gotlib, I. H. (2011) · Emotion · doi:10.1037/a0021786 · Cited by 278

Empirical Research Methods in Software Engineering

Wohlin, C., Höst, M., & Henningsson, K. (2003) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-45143-3_2 · Cited by 270

Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathy

Pirruccello, J. P., Bick, A., Wang, M., Chaffin, M., Friedman, S., Yao, J., Guo, X., Venkatesh, B. A., Taylor, K. D., Post, W. S., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15823-7 · Cited by 267

Bikinis Instigate Generalized Impatience in Intertemporal Choice

Van den Bergh, B., Dewitte, S., & Warlop, L. (2008) · Journal of Consumer Research · doi:10.1086/525505 · Cited by 269

A brief form of the Perceived Social Support Questionnaire (F-SozU) was developed, validated, and standardized

Kliem, S., Mößle, T., Rehbein, F., Hellmann, D. F., Zenger, M., & Brähler, E. (2015) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2014.11.003 · Cited by 263

Neonatal procedural pain and preterm infant cortisol response to novelty at 8 months

Grunau, R. E., Weinberg, J., & Whitfield, M. F. (2004) · PEDIATRICS · doi:10.1542/peds.114.1.e77 · Cited by 262

The Paradox of Probation: Community Supervision in the Age of Mass Incarceration

Phelps, M. S. (2013) · Law & Policy · doi:10.1111/lapo.12002 · Cited by 260

The gambling symptom assessment scale (G-SAS): a reliability and validity study

Kim, S. W., Grant, J. E., Potenza, M. N., Blanco, C., & Hollander, E. (2009) · Psychiatry Research · doi:10.1016/j.psychres.2007.11.008 · Cited by 257

Endogenous sex hormones and cardiovascular disease incidence in men

Ärnlöv, J., Pencina, M. J., Amin, S., Nam, B.-H., Benjamin, E. J., Murabito, J. M., Wang, T. J., Knapp, P. E., D'Agostino, R. B., Bhasin, S., et al. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-145-3-200608010-00005 · Cited by 217

Benchmarking in Optimization: Best Practice and Open Issues

Bartz-Beielstein, T., Doerr, C., Berg, D. V. D., Bossek, J., Chandrasekaran, S., Eftimov, T., Fischbach, A., Kerschke, P., La Cava, W., Lopez-Ibanez, M., et al. (2020) · arXiv · doi:10.48550/arxiv.2007.03488 · Cited by 214

Serotonin Receptors Modulate GABAAReceptor Channels through Activation of Anchored Protein Kinase C in Prefrontal Cortical Neurons

Feng, J., Cai, X., Zhao, J., & Yan, Z. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-17-06502.2001 · Cited by 212

Reference intervals: the way forward

Ceriotti, F., Hinzmann, R., & Panteghini, M. (2009) · Annals of Clinical Biochemistry: International Journal of Laboratory Medicine · doi:10.1258/acb.2008.008170 · Cited by 199

Corroborating evidence for platelet-induced epithelial-mesenchymal transition and fibroblast-to-myofibroblast transdifferentiation in the development of adenomyosis

Liu, X., Shen, M., Qi, Q., Zhang, H., & Guo, S.-W. (2016) · Human Reproduction · doi:10.1093/humrep/dew018 · Cited by 190

Evolution combined with genomic study elucidates genetic bases of isobutanol tolerance in Escherichia coli

Minty, J. J., Lesnefsky, A. A., Lin, F., Chen, Y., Zaroff, T. A., Veloso, A. B., Xie, B., McConnell, C. A., Ward, R. J., Schwartz, D. R., et al. (2011) · Microbial Cell Factories · doi:10.1186/1475-2859-10-18 · Cited by 185

The early origins and development of the scatterplot

Friendly, M., & Denis, D. (2005) · Journal of the History of the Behavioral Sciences · doi:10.1002/jhbs.20078 · Cited by 184

Effects of depressive symptoms on health-related quality of life in asthma patients

Mancuso, C. A., Peterson, M. G. E., & Charlson, M. E. (2000) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2000.07006.x · Cited by 176

Let it be: Accepting negative emotional experiences predicts decreased negative affect and depressive symptoms

Shallcross, A. J., Troy, A. S., Boland, M., & Mauss, I. B. (2010) · Behaviour Research and Therapy · doi:10.1016/j.brat.2010.05.025 · Cited by 177

Bioaccumulation of selenium from natural geologic sources in western states and its potential consequences

Presser, T. S., Sylvester, M. A., & Low, W. H. (1994) · Environmental Management · doi:10.1007/bf02393871 · Cited by 176

Dropout Prevention and Intervention Programs: Effects on School Completion and Dropout among School-aged Children and Youth

Wilson, S. J., Tanner-Smith, E. E., Lipsey, M. W., Steinka-Fry, K., & Morrison, J. (2011) · Campbell Systematic Reviews: Better Evidence for a Better World · doi:10.4073/csr.2011.8 · Cited by 173

Data engineering for fraud detection

Baesens, B., Höppner, S., & Verdonck, T. (2021) · Decision Support Systems · doi:10.1016/j.dss.2021.113492 · Cited by 170

A comprehensive survey of numeric and symbolic outlier mining techniques

Agyemang, M., Barker, K., & Alhajj, R. (2006) · Intelligent Data Analysis · doi:10.3233/ida-2006-10604 · Cited by 164

Much ado about the full moon: a meta-analysis of lunar–lunacy research

Rotton, J., & Kelly, I. W. (1985) · Psychological Bulletin · doi:10.1037/0033-2909.97.2.286 · Cited by 162

Behavioral Research Methods in Human-Computer Interaction

Landauer, T. K. (1997) · Handbook of Human-Computer Interaction · doi:10.1016/b978-044481862-1.50075-3 · Cited by 162

Fusion of visual cues is not mandatory in children

Nardini, M., Bedford, R., & Mareschal, D. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1001699107 · Cited by 161

Discrimination in Grading

Hanna, R. N., & Linden, L. L. (2012) · American Economic Journal: Economic Policy · doi:10.1257/pol.4.4.146 · Cited by 161

School-based mental health and behavioral programs for low-income, urban youth: A systematic and meta-analytic review

Farahmand, F. K., Grant, K. E., Polo, A. J., Duffy, S. N., & DuBois, D. L. (2011) · Clinical Psychology Science and Practice · doi:10.1111/j.1468-2850.2011.01265.x · Cited by 154

Getting better with age: the relationship between age, acceptance, and negative affect

Shallcross, A. J., Ford, B. Q., Floerke, V. A., & Mauss, I. B. (2013) · Journal of Personality and Social Psychology · doi:10.1037/a0031180 · Cited by 153

Plasma dehydroepiandrosterone and dehydroepiandrosterone sulfate in patients undergoing diagnostic coronary angiography

Herrington, D. M., Gordon, G. B., Achuff, S. C., Trejo, J. F., Weisman, H. F., Kwiterovich, P. O., & Pearson, T. A. (1990) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(10)80334-1 · Cited by 147

Robust covariance and scatter matrix estimation under Huber’s contamination model

Chen, M., Gao, C., & Ren, Z. (2018) · The Annals of Statistics · doi:10.1214/17-aos1607 · Cited by 146

Sound credit scores and financial decisions despite cognitive aging

Li, Y., Gao, J., Enkavi, A. Z., Zaval, L., Weber, E. U., & Johnson, E. J. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1413570112 · Cited by 142

Ambulatory Glucose Profile: Representation of Verified Self-Monitored Blood Glucose Data

Mazze, R. S., Lucido, D., Langer, O., Hartmann, K., & Rodbard, D. (1987) · Diabetes Care · doi:10.2337/diacare.10.1.111 · Cited by 144

A Role for Non-Rapid-Eye-Movement Sleep Homeostasis in Perceptual Learning

Aeschbach, D., Cutler, A. J., & Ronda, J. M. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.5548-07.2008 · Cited by 142

Do consumers really follow a rule of thumb? Three thousand estimates from 144 studies say "probably not

Havranek, T., & Sokolova, A. (2020) · Review of Economic Dynamics · doi:10.1016/j.red.2019.05.004 · Cited by 141

Laboratory profile of sickle cell disease: a cross-sectional analysis

STEWARTWEST, M. (1992) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(92)90073-v · Cited by 136

Leakage in data mining: formulation, detection, and avoidance

Kaufman, S., Rosset, S., & Perlich, C. (2011) · Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/2020408.2020496 · Cited by 137

Design and Discovery in Educational Assessment: Evidence-Centered Design, Psychometrics, and Educational Data Mining

Mislevy, R. J., Behrens, J. T., Dicerbo, K. E., & Levy, R. (2012) · Zenodo · doi:10.5281/zenodo.3554641 · Cited by 139

Estimation of non-additive genetic variance in human complex traits from a large sample of unrelated individuals

Hivert, V., Sidorenko, J., Rohart, F., Goddard, M. E., Yang, J., Wray, N. R., Yengo, L., & Visscher, P. M. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.02.014 · Cited by 136

Modeling the cognitive mechanisms linking autism symptoms and anxiety in adults.

Maisel, M. E., Stephenson, K. G., South, M., Rodgers, J., Freeston, M. H., & Gaigg, S. B. (2016) · Journal of Abnormal Psychology · doi:10.1037/abn0000168 · Cited by 132

The Effects of Modified School Calendars on Student Achievement and on School and Community Attitudes

Cooper, H., Valentine, J. C., Charlton, K., & Melson, A. (2003) · Review of Educational Research · doi:10.3102/00346543073001001 · Cited by 138

Children’s binge eating and development of metabolic syndrome

Tanofsky-Kraff, M., Shomaker, L. B., Stern, E. A., Miller, R., Sebring, N., DellaValle, D., Yanovski, S. Z., Hubbard, V. S., & Yanovski, J. A. (2012) · International Journal of Obesity · doi:10.1038/ijo.2011.259 · Cited by 123

Effects of psychosocial interventions on meaning and purpose in adults with cancer: a systematic review and meta-analysis

Park, C. L., Pustejovsky, J. E., Trevino, K., Sherman, A. C., Esposito, C., Berendsen, M., & Salsman, J. M. (2019) · Cancer · doi:10.1002/cncr.32078 · Cited by 125

Abnormal transient pupillary light reflex in individuals with autism spectrum disorders

Fan, X., Miles, J. H., Takahashi, N., & Yao, G. (2009) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-009-0767-7 · Cited by 121

Univariate outliers: A conceptual overview for the nurse researcher

Mowbray, F. I., Fox-Wasylyshyn, S. M., & El-Masri, M. M. (2019) · Canadian Journal of Nursing Research · doi:10.1177/0844562118786647 · Cited by 117

Exploring exploratory programming

Beth Kery, M., & Myers, B. A. (2017) · 2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vlhcc.2017.8103446 · Cited by 123

Reference intervals of nine steroid hormones over the life-span analyzed by LC-MS/MS: Effect of age, gender, puberty, and oral contraceptives

Bae, Y. J., Zeidler, R., Baber, R., Vogel, M., Wirkner, K., Loeffler, M., Ceglarek, U., Kiess, W., Körner, A., Thiery, J., et al. (2019) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2019.105409 · Cited by 123

Benchmarking the performance of pairwise homogenization of surface temperatures in the United States

Williams, C. N., Menne, M. J., & Thorne, P. W. (2012) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2011jd016761 · Cited by 121

Coordinating interdependencies in online communities: A study of an open source software project

Lindberg, A., Berente, N., Gaskin, J., & Lyytinen, K. (2016) · Information Systems Research · doi:10.1287/isre.2016.0673 · Cited by 121

How often are our numbers wrong?

Rosenthal, R. (1978) · American Psychologist · doi:10.1037/0003-066x.33.11.1005 · Cited by 115

National estimates for maternal mortality: an analysis based on the WHO systematic review of maternal mortality and morbidity

Betrán, A. P., Wojdyla, D., Posner, S. F., & Gülmezoglu, A. M. (2005) · BMC Public Health · doi:10.1186/1471-2458-5-131 · Cited by 111

Acute neuropsychological effects of methylphenidate in stimulant drug‐naïve boys with ADHD II – broader executive and non‐executive domains

Rhodes, S. M., Coghill, D. R., & Matthews, K. (2006) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2006.01633.x · Cited by 112

Understanding and Visualizing Data Iteration in Machine Learning

Hohman, F., Wongsuphasawat, K., Kery, M. B., & Patel, K. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376177 · Cited by 110

Archaeological Visualization: Towards an Archaeological Information Science (AISc)

Llobera, M. (2011) · Journal of Archaeological Method and Theory · doi:10.1007/s10816-010-9098-4 · Cited by 110

Change in Brainstem Gray Matter Concentration Following a Mindfulness-Based Intervention is Correlated with Improvement in Psychological Well-Being

Singleton, O., Hölzel, B. K., Vangel, M., Brach, N., Carmody, J., & Lazar, S. W. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00033 · Cited by 110

Visual Reasoning Strategies for Effect Size Judgments and Decisions

Kale, A., Kay, M., & Hullman, J. (2021) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2020.3030335 · Cited by 109

Functional lateralization of temporoparietal junction – imitation inhibition, visual perspective‐taking and theory of mind

Santiesteban, I., Banissy, M. J., Catmur, C., & Bird, G. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.13036 · Cited by 107

Timing and rate of sexual maturation and the onset of cigarette and alcohol use among teenage girls

Wilson, D. M. (1994) · Archives of Pediatrics & Adolescent Medicine · doi:10.1001/archpedi.1994.02170080019004 · Cited by 104

Is there tonic immobility in humans? Biological evidence from victims of traumatic stress

Volchan, E., Souza, G. G., Franklin, C. M., Norte, C. E., Rocha-Rego, V., Oliveira, J. M., David, I. A., Mendlowicz, M. V., Coutinho, E. S. F., Fiszman, A., et al. (2011) · Biological Psychology · doi:10.1016/j.biopsycho.2011.06.002 · Cited by 101

Pelvic organ prolapse as a function of levator ani avulsion, hiatus size, and strength

Handa, V. L., Roem, J., Blomquist, J. L., Dietz, H. P., & Muñoz, A. (2019) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2019.03.004 · Cited by 99

Long-Term Effects of Brief Acceptance and Commitment Therapy for Psychosis

Bach, P., Hayes, S. C., & Gallop, R. (2012) · Behavior Modification · doi:10.1177/0145445511427193 · Cited by 97

An efficient method for the detection and elimination of systematic error in high-throughput screening

Makarenkov, V., Zentilli, P., Kevorkov, D., Gagarin, A., Malo, N., & Nadon, R. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm145 · Cited by 97

Activity‐dependent bidirectional regulation of GABAA receptor channels by the 5‐HT4 receptor‐mediated signalling in rat prefrontal cortical pyramidal neurons

Cai, X., Flores‐Hernandez, J., Feng, J., & Yan, Z. (2002) · The Journal of Physiology · doi:10.1113/jphysiol.2001.013391 · Cited by 97

Malignant side effects of null-hypothesis significance testing

Branch, M. (2014) · Theory & Psychology · doi:10.1177/0959354314525282 · Cited by 81

Implicit misattribution of evaluative responses: Contingency-unaware evaluative conditioning requires simultaneous stimulus presentations.

Hütter, M., & Sweldens, S. (2013) · Journal of Experimental Psychology: General · doi:10.1037/a0029989 · Cited by 79

Heart rate variability is associated with glycemic status after controlling for components of the metabolic syndrome.

Jarczok, M. N., Li, J., Mauss, D., Fischer, J. E., & Thayer, J. F. (2013) · International Journal of Cardiology · doi:10.1016/j.ijcard.2012.02.002 · Cited by 79

A big-data approach to producing descriptive anthropometric references: a feasibility and validation study of paediatric growth charts

Heude, B., Scherdel, P., Werner, A., Le Guern, M., Gelbert, N., Walther, D., Arnould, M., Bellaïche, M., Chevallier, B., Cheymol, J., et al. (2019) · The Lancet Digital Health · doi:10.1016/s2589-7500(19)30149-9 · Cited by 78

Towards the Temporally Perfect Virtual Button: Touch-Feedback Simultaneity and Perceived Quality in Mobile Touchscreen Press Interactions

Kaaresoja, T., Brewster, S., & Lantz, V. (2014) · ACM Transactions on Applied Perception · doi:10.1145/2611387 · Cited by 78

Deep Learning for Automated Triaging of 4581 Breast MRI Examinations from the DENSE Trial

Verburg, E., van Gils, C. H., van der Velden, B. H. M., Bakker, M. F., Pijnappel, R. M., Veldhuis, W. B., & Gilhuijs, K. G. A. (2022) · Radiology · doi:10.1148/radiol.2021203960 · Cited by 73

Remembering specific features of emotional events across time: the role of REM sleep and prefrontal theta oscillations

Sopp, M. R., Michael, T., Weeß, H.-G., & Mecklinger, A. (2017) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-017-0542-8 · Cited by 68

Sibling influences on adolescent substance use: The role of modeling, collusion, and conflict

Low, S., Shortt, J. W., & Snyder, J. (2012) · Development and Psychopathology · doi:10.1017/s0954579411000836 · Cited by 71

Postural transitions during activities of daily living could identify frailty status: application of wearable technology to identify frailty during unsupervised condition

Parvaneh, S., Mohler, J., Toosizadeh, N., Grewal, G. S., & Najafi, B. (2017) · Gerontology · doi:10.1159/000460292 · Cited by 67

Life and extinction of megafauna in the ice-age Arctic

Mann, D. H., Groves, P., Reanier, R. E., Gaglioti, B. V., Kunz, M. L., & Shapiro, B. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1516573112 · Cited by 72

Perceived partner responsiveness promotes intellectual humility

Reis, H. T., Lee, K. Y., O'Keefe, S. D., & Clark, M. S. (2018) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2018.05.006 · Cited by 70

The exploratory analysis of autocorrelation in animal‐movement studies

Dray, S., Royer‐Carenzi, M., & Calenge, C. (2010) · Ecological Research · doi:10.1007/s11284-010-0701-7 · Cited by 70

SNP-specific array-based allele-specific expression analysis

Bjornsson, H. T., Albert, T. J., Ladd-Acosta, C. M., Green, R. D., Rongione, M. A., Middle, C. M., Irizarry, R. A., Broman, K. W., & Feinberg, A. P. (2008) · Genome Research · doi:10.1101/gr.073254.107 · Cited by 68

A sensitive and rapid mass spectrometric method for the simultaneous measurement of eight steroid hormones and CALIPER pediatric reference intervals

Kyriakopoulou, L., Yazdanpanah, M., Colantonio, D. A., Chan, M. K., Daly, C. H., & Adeli, K. (2013) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2013.01.002 · Cited by 68

The age-dependent relationship between resting heart rate variability and functional brain connectivity

Kumral, D., Schaare, H. L., Beyer, F., Reinelt, J., Uhlig, M., Liem, F., Lampe, L., Babayan, A., Reiter, A., Erbey, M., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.027 · Cited by 64

Dropout Prevention and Intervention Programs for Improving School Completion Among School-Aged Children and Youth: A Systematic Review

Wilson, S. J., & Tanner-Smith, E. E. (2013) · Journal of the Society for Social Work and Research · doi:10.5243/jsswr.2013.22 · Cited by 66

Modelling top height growth and site index using repeated laser scanning data

Socha, J., Pierzchalski, M., Bałazy, R., & Ciesielski, M. (2017) · Forest Ecology and Management · doi:10.1016/j.foreco.2017.09.039 · Cited by 65

Biased recognition of facial affect in patients with major depressive disorder reflects clinical state

Münkler, P., Rothkirch, M., Dalati, Y., Schmack, K., & Sterzer, P. (2015) · PLOS ONE · doi:10.1371/journal.pone.0129863 · Cited by 67

Energy Expenditure Responses to Fasting and Overfeeding Identify Phenotypes Associated With Weight Change

Schlögl, M., Piaggi, P., Pannacciuli, N., Bonfiglio, S. M., Krakoff, J., & Thearle, M. S. (2015) · Diabetes · doi:10.2337/db15-0382 · Cited by 65

Directive and incentive functions of affective action consequences: An ideomotor approach

Eder, A. B., Rothermund, K., De Houwer, J., & Hommel, B. (2015) · Psychological Research · doi:10.1007/s00426-014-0590-4 · Cited by 60

Supporting Complex Decision Making Through Option Awareness

Pfaff, M. S., Klein, G. L., Drury, J. L., Moon, S. P., Liu, Y., & Entezari, S. O. (2013) · Journal of Cognitive Engineering and Decision Making · doi:10.1177/1555343412455799 · Cited by 62

Transcriptomics in interferon-α-treated patients identifies inflammation-, neuroplasticity- and oxidative stress-related signatures as predictors and correlates of depression

Hepgul, N., Cattaneo, A., Agarwal, K., Baraldi, S., Borsini, A., Bufalino, C., Forton, D. M., Mondelli, V., Nikkheslat, N., Lopizzo, N., et al. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2016.50 · Cited by 62

Effect of Removing Outliers on Statistical Inference: Implications to Interpretation of Experimental Data in Medical Research

Marshall University, Gress, T. W., Denvir, J., Marshall University, Shapiro, J. I., & Marshall University (2018) · Marshall Journal of Medicine · doi:10.18590/mjm.2018.vol4.iss2.9 · Cited by 60

Ending the Cinderella status of terraces and lynchets in Europe: the geomorphology of agricultural terraces and implications for ecosystem services and climate adaptation

Brown, A. G., Fallu, D., Walsh, K., Cucchiaro, S., Tarolli, P., Zhao, P., Pears, B. R., van Oost, K., Snape, L., Lang, A., et al. (2021) · Geomorphology · doi:10.1016/j.geomorph.2020.107579 · Cited by 55

Suburban areas in flames: dispersion of potentially toxic elements from burned vegetation and buildings. Estimation of the associated ecological and human health risk

Alexakis, D. E. (2020) · Environmental Research · doi:10.1016/j.envres.2020.109153 · Cited by 54

Lower Glutamic Acid Decarboxylase 65-kDa Isoform Messenger RNA and Protein Levels in the Prefrontal Cortex in Schizoaffective Disorder but Not Schizophrenia

Glausier, J. R., Kimoto, S., Fish, K. N., & Lewis, D. A. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.05.010 · Cited by 53

Autophagy accounts for approximately one-third of mitochondrial protein turnover and is protein selective

Vincow, E. S., Thomas, R. E., Merrihew, G. E., Shulman, N. J., Bammler, T. K., MacDonald, J. W., MacCoss, M. J., & Pallanck, L. J. (2019) · Autophagy · doi:10.1080/15548627.2019.1586258 · Cited by 54

Nootropic effects of ACE inhibitors in mice

Mondadori, C., & Etienne, P. (1990) · Psychopharmacology · doi:10.1007/bf02244597 · Cited by 53

Difficulties in emotion regulation in treatment-seeking alcoholics with and without co-occurring mood and anxiety disorders.

Bradizza, C. M., Brown, W. C., Ruszczyk, M. U., Dermen, K. H., Lucke, J. F., & Stasiewicz, P. R. (2018) · Addictive Behaviors · doi:10.1016/j.addbeh.2017.12.033 · Cited by 53

Methods for detecting, quantifying, and adjusting for dissemination bias in meta-analysis are described

Mueller, K. F., Meerpohl, J. J., Briel, M., Antes, G., von Elm, E., Lang, B., Motschall, E., Schwarzer, G., & Bassler, D. (2016) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2016.04.015 · Cited by 48

Electrophysiological properties of genetically identified subtypes of layer 5 neocortical pyramidal neurons: Ca2+ dependence and differential modulation by norepinephrine

Guan, D., Armstrong, W. E., & Foehring, R. C. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00524.2014 · Cited by 47

Explicit and implicit caregiving interests in expectant fathers: Do endogenous and exogenous oxytocin and vasopressin matter?

Cohen-Bendahan, C. C. C., Beijers, R., van Doornen, L. J. P., & de Weerth, C. (2015) · Infant Behavior and Development · doi:10.1016/j.infbeh.2015.06.007 · Cited by 50

Combining Teletherapy and On-line Language Exercises in the Treatment of Chronic Aphasia: An Outcome Study

Steele, R. D., Baird, A., McCall, D., & Haynes, L. (2015) · International Journal of Telerehabilitation · doi:10.5195/ijt.2014.6157 · Cited by 45

Psychosocial interventions for cancer survivors: a meta-analysis of effects on positive affect

Salsman, J. M., Pustejovsky, J. E., Schueller, S. M., Hernandez, R., Berendsen, M., McLouth, L. E. S., & Moskowitz, J. T. (2019) · Journal of Cancer Survivorship · doi:10.1007/s11764-019-00811-8 · Cited by 45

GIS AND URBAN STUDIES: POSITIVISM, POST-POSITIVISM, AND BEYOND

Sui, D. Z. (1994) · Urban Geography · doi:10.2747/0272-3638.15.3.258 · Cited by 44

Altered expression of long noncoding RNAs in patients with major depressive disorder

Seki, T., Yamagata, H., Uchida, S., Chen, C., Kobayashi, A., Kobayashi, M., Harada, K., Matsuo, K., Watanabe, Y., & Nakagawa, S. (2019) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2019.07.004 · Cited by 42

Muscarine Modulates Ca 2+ Channel Currents in Rat Sensorimotor Pyramidal Cells Via Two Distinct Pathways

Stewart, A. E., Yan, Z., Surmeier, D. J., & Foehring, R. C. (1999) · Journal of Neurophysiology · doi:10.1152/jn.1999.81.1.72 · Cited by 42

Longitudinal changes in spouses’ HPA responses: Convergence in cortisol patterns during the early years of marriage.

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