Statistical Methods for Research Workers

The use of percentages and size-specific indices to normalize physiological data for variation in body size: wasted time, wasted effort?

Packard, G. C., & Boardman, T. J. (1999) · Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology · doi:10.1016/s1095-6433(98)10170-8 · Cited by 439

Star Wars: The Empirics Strike Back

Brodeur, A., Lé, M., Sangnier, M., & Zylberberg, Y. (2016) · American Economic Journal: Applied Economics · doi:10.1257/app.20150044 · Cited by 430

Willingness to Share Research Data Is Related to the Strength of the Evidence and the Quality of Reporting of Statistical Results

Wicherts, J. M., Bakker, M., & Molenaar, D. (2011) · PLoS ONE · doi:10.1371/journal.pone.0026828 · Cited by 424

Model Selection in Phylogenetics

Sullivan, J., & Joyce, P. (2005) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev.ecolsys.36.102003.152633 · Cited by 412

Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

Dodge, J., Ilharco, G., Schwartz, R., Farhadi, A., Hajishirzi, H., & Smith, N. (2020) · arXiv · doi:10.48550/arxiv.2002.06305 · Cited by 412

What Would It Take to Change an Inference? Using Rubin’s Causal Model to Interpret the Robustness of Causal Inferences

Frank, K. A., Maroulis, S. J., Duong, M. Q., & Kelcey, B. M. (2013) · Educational Evaluation and Policy Analysis · doi:10.3102/0162373713493129 · Cited by 406

Assessment of Adult Psychopathology: Meta-Analyses and Implications of Cross-Informant Correlations.

Achenbach, T. M., Krukowski, R. A., Dumenci, L., & Ivanova, M. Y. (2005) · Psychological Bulletin · doi:10.1037/0033-2909.131.3.361 · Cited by 406

‘Statistical’, ‘practical’, and ‘clinical’: How many kinds of significance do counselors need to consider

Thompson, B. (2002) · Journal of Counseling & Development · doi:10.1002/j.1556-6678.2002.tb00167.x · Cited by 398

Familial Dependence of the Resting Metabolic Rate

Bogardus, C., Lillioja, S., Ravussin, E., Abbott, W., Zawadzki, J. K., Young, A., Knowler, W. C., Jacobowitz, R., & Moll, P. P. (1986) · New England Journal of Medicine · doi:10.1056/nejm198607103150205 · Cited by 398

Making Reliability Reliable: A Systematic Approach to Reliability Coefficients

Cho, E. (2016) · Organizational Research Methods · doi:10.1177/1094428116656239 · Cited by 378

Sensor data quality: a systematic review

Teh, H. Y., Kempa-Liehr, A. W., & Wang, K. I.-K. (2020) · Journal of Big Data · doi:10.1186/s40537-020-0285-1 · Cited by 377

Fine‐scaled geographical population structuring in a highly mobile marine species: the Atlantic cod

Knutsen, H., Jorde, P. E., André, C., & Stenseth, N. C. (2003) · Molecular Ecology · doi:10.1046/j.1365-294x.2003.01750.x · Cited by 370

Factorial Experiments

Collins, L. M., Dziak, J. J., Kugler, K. C., & Trail, J. B. (2014) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2014.06.021 · Cited by 335

Oral Zinc in Macular Degeneration

Newsome, D. A., Swartz, M., Leone, N. C., Elston, R. C., & Miller, E. (1988) · Archives of Ophthalmology · doi:10.1001/archopht.1988.01060130202026 · Cited by 349

Causal inference with observational data

Nichols, A. (2007) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0800700403 · Cited by 339

Cytomegalovirus infection enhances the immune response to influenza

Furman, D., Jojic, V., Sharma, S., Shen-Orr, S. S., L. Angel, C. J., Onengut-Gumuscu, S., Kidd, B. A., Maecker, H. T., Concannon, P., Dekker, C. L., et al. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa2293 · Cited by 332

Does psi exist? Replicable evidence for an anomalous process of information transfer.

Bem, D. J., & Honorton, C. (1994) · Psychological Bulletin · doi:10.1037/0033-2909.115.1.4 · Cited by 330

Direct and Indirect Causal Effects via Potential Outcomes*

Rubin, D. B. (2004) · Scandinavian Journal of Statistics · doi:10.1111/j.1467-9469.2004.02-123.x · Cited by 324

On the origins of the .05 level of statistical significance.

Cowles, M., & Davis, C. (1982) · American Psychologist · doi:10.1037/0003-066x.37.5.553 · Cited by 323

Ventromedial prefrontal volume predicts understanding of others and social network size

Lewis, P. A., Rezaie, R., Brown, R., Roberts, N., & Dunbar, R. I. M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.030 · Cited by 321

A common variant on chromosome 11q13 is associated with atopic dermatitis

Esparza-Gordillo, J., Weidinger, S., Fölster-Holst, R., Bauerfeind, A., Ruschendorf, F., Patone, G., Rohde, K., Marenholz, I., Schulz, F., Kerscher, T., et al. (2009) · Nature Genetics · doi:10.1038/ng.347 · Cited by 317

When is hub gene selection better than standard meta-analysis?

Langfelder, P., Mischel, P. S., & Horvath, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061505 · Cited by 313

Comparison of Two Meta-Analysis Methods: Inverse-Variance-Weighted Average and Weighted Sum of Z-Scores

Lee, C. H., Cook, S., Lee, J. S., & Han, B. (2016) · Genomics & Informatics · doi:10.5808/gi.2016.14.4.173 · Cited by 308

RNA-seq: technical variability and sampling

McIntyre, L. M., Lopiano, K. K., Morse, A. M., Amin, V., Oberg, A. L., Young, L. J., & Nuzhdin, S. V. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-293 · Cited by 285

An Ounce of Prevention Is Worth a Pound of Cure: Improving Research Quality Before Data Collection

Aguinis, H., & Vandenberg, R. J. (2014) · Annual Review of Organizational Psychology and Organizational Behavior · doi:10.1146/annurev-orgpsych-031413-091231 · Cited by 304

Magnitude of teacher expectancy effects on pupil IQ as a function of the credibility of expectancy induction: A synthesis of findings from 18 experiments.

Raudenbush, S. W. (1984) · Journal of Educational Psychology · doi:10.1037/0022-0663.76.1.85 · Cited by 302

Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing

Kohavi, R., Tang, D., & Xu, Y. (2020) · doi:10.1017/9781108653985 · Cited by 297

Confidence intervals for population reliability coefficients: Evaluation of methods, recommendations, and software for composite measures.

Kelley, K., & Pornprasertmanit, S. (2016) · Psychological Methods · doi:10.1037/a0040086 · Cited by 259

Meta-analysis using effect size distributions of only statistically significant studies.

van Assen, M. A. L. M., van Aert, R. C. M., & Wicherts, J. M. (2015) · Psychological Methods · doi:10.1037/met0000025 · Cited by 265

Genetic structure of the world’s polar bear populations

Paetkau, D., Amstrup, S. C., Born, E. W., Calvert, W., Derocher, A. E., Garner, G. W., Messier, F., Stirling, I., Taylor, M. K., Wiig, Ø., et al. (1999) · Molecular Ecology · doi:10.1046/j.1365-294x.1999.00733.x · Cited by 262

The Impact of Predation on Boreal Tetraonids During Vole Cycles: An Experimental Study

Marcstrom, V., Kenward, R. E., & Engren, E. (1988) · The Journal of Animal Ecology · doi:10.2307/5097 · Cited by 259

Statistical Tests Based on Permutations of the Observations

Wald, A., & Wolfowitz, J. (1944) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177731207 · Cited by 260

Systems biology: experimental design

Kreutz, C., & Timmer, J. (2009) · The FEBS Journal · doi:10.1111/j.1742-4658.2008.06843.x · Cited by 257

Neurophysiological Investigation of Spontaneous Correlated and Anticorrelated Fluctuations of the BOLD Signal

Keller, C. J., Bickel, S., Honey, C. J., Groppe, D. M., Entz, L., Craddock, R. C., Lado, F. A., Kelly, C., Milham, M., & Mehta, A. D. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4837-12.2013 · Cited by 245

The Effects of Communication on Technological Innovation

Ebadi, Y. M., & Utterback, J. M. (1984) · Management Science · doi:10.1287/mnsc.30.5.572 · Cited by 255

A genome-wide association meta-analysis of self-reported allergy identifies shared and allergy-specific susceptibility loci

Hinds, D. A., McMahon, G., Kiefer, A. K., Do, C. B., Eriksson, N., Evans, D. M., St Pourcain, B., Ring, S. M., Mountain, J. L., Francke, U., et al. (2013) · Nature Genetics · doi:10.1038/ng.2686 · Cited by 246

Social Behavior, Reproduction, and Population Changes in the House Mouse (Mus musculus L.)

Brown, R. Z. (1953) · Ecological Monographs · doi:10.2307/1943592 · Cited by 242

Semantic and cognitive tools to aid statistical science: replace confidence and significance by compatibility and surprise

Rafi, Z., & Greenland, S. (2020) · BMC Medical Research Methodology · doi:10.1186/s12874-020-01105-9 · Cited by 243

Potential late-onset Alzheimer's disease-associated mutations in the ADAM10 gene attenuate α-secretase activity

Kim, M., Suh, J., Romano, D., Truong, M. H., Mullin, K., Hooli, B., Norton, D., Tesco, G., Elliott, K., Wagner, S. L., et al. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddp323 · Cited by 234

Conducting Meta-Analyses Based on p Values: Reservations and Recommendations for Applying p -Uniform and p -Curve

van Aert, R. C. M., Wicherts, J. M., & van Assen, M. A. L. M. (2016) · Perspectives on Psychological Science · doi:10.1177/1745691616650874 · Cited by 219

Identifying Genes Whose Mutant Transcripts Cause Dominant Disease Traits by Potential Gain-of-Function Alleles

Coban-Akdemir, Z., White, J. J., Song, X., Jhangiani, S. N., Fatih, J. M., Gambin, T., Bayram, Y., Chinn, I. K., Karaca, E., Punetha, J., et al. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.06.009 · Cited by 219

Meta-analysis in applied ecology

Stewart, G. (2010) · Biology Letters · doi:10.1098/rsbl.2009.0546 · Cited by 214

Likelihood ratios: A simple and flexible statistic for empirical psychologists

Glover, S., & Dixon, P. (2004) · Psychonomic Bulletin & Review · doi:10.3758/bf03196706 · Cited by 218

MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction

Menyhart, O., Weltz, B., & Győrffy, B. (2021) · PLOS ONE · doi:10.1371/journal.pone.0245824 · Cited by 216

Approaches to mixed methods dissemination and implementation research: methods, strengths, caveats, and opportunities

Green, C. A., Duan, N., Gibbons, R. D., Hoagwood, K. E., Palinkas, L. A., & Wisdom, J. P. (2015) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-014-0552-6 · Cited by 205

Validation of an automated wireless system to monitor sleep in healthy adults

SHAMBROOM, J. R., FÁBREGAS, S. E., & JOHNSTONE, J. (2012) · Journal of Sleep Research · doi:10.1111/j.1365-2869.2011.00944.x · Cited by 216

Data Lifecycle Challenges in Production Machine Learning: A Survey

Polyzotis, N., Roy, S., Whang, S. E., & Zinkevich, M. (2018) · ACM SIGMOD Record · doi:10.1145/3299887.3299891 · Cited by 214

Functions of the orbitofrontal and pregenual cingulate cortex in taste, olfaction, appetite and emotion

Rolls, E. (2008) · Acta Physiologica Hungarica · doi:10.1556/aphysiol.95.2008.2.1 · Cited by 214

Variation in the Oxytocin Receptor Gene Is Associated with Pair-Bonding and Social Behavior

Walum, H., Lichtenstein, P., Neiderhiser, J. M., Reiss, D., Ganiban, J. M., Spotts, E. L., Pedersen, N. L., Anckarsäter, H., Larsson, H., & Westberg, L. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.09.002 · Cited by 211

A meta-analytic review of personality traits and their associations with mental health treatment outcomes

Bucher, M. A., Suzuki, T., & Samuel, D. B. (2019) · Clinical Psychology Review · doi:10.1016/j.cpr.2019.04.002 · Cited by 203

Temporal lobe functional activity and connectivity in young adult APOE ɛ4 carriers

Dennis, N. A., Browndyke, J. N., Stokes, J., Need, A., Burke, J. R., Welsh‐Bohmer, K. A., & Cabeza, R. (2010) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2009.07.003 · Cited by 201

Association of Episodic Physical and Sexual Activity With Triggering of Acute Cardiac Events: Systematic Review and Meta-analysis

Dahabreh, I. J. (2011) · JAMA · doi:10.1001/jama.2011.336 · Cited by 199

What makes you choose Airbnb again? An examination of users’ perceptions toward the website and their stay

Wang, C. (., & Jeong, M. (2018) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2018.04.006 · Cited by 197

Hippocampal contributions to the episodic simulation of specific and general future events

Addis, D. R., Cheng, T., P. Roberts, R., & Schacter, D. L. (2011) · Hippocampus · doi:10.1002/hipo.20870 · Cited by 182

Biomarkers of Inflammation and MRI-Defined Small Vessel Disease of the Brain: The Cardiovascular Health Study

Fornage, M., Chiang, Y. A., O'Meara, E. S., Psaty, B. M., Reiner, A. P., Siscovick, D. S., Tracy, R. P., & Longstreth, W. T. (2008) · Stroke · doi:10.1161/strokeaha.107.508135 · Cited by 187

Genome-wide study of association and interaction with maternal cytomegalovirus infection suggests new schizophrenia loci

GROUP investigators, Børglum, A. D., Demontis, D., Grove, J., Pallesen, J., Hollegaard, M. V., Pedersen, C. B., Hedemand, A., Mattheisen, M., Uitterlinden, A., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.2 · Cited by 186

Promoting good statistical practices: Some suggestions

Kirk, R. E. (2001) · Educational and Psychological Measurement · doi:10.1177/00131640121971185 · Cited by 184

Adjustment Disorder: A Multisite Study of its Utilization and Interventions in the Consultation-Liaison Psychiatry Setting

Strain, J. (1998) · General Hospital Psychiatry · doi:10.1016/s0163-8343(98)00020-6 · Cited by 180

Tests of Significance Considered as Evidence

Berkson, J. (1942) · Journal of the American Statistical Association · doi:10.2307/2279000 · Cited by 174

Sleep leads to changes in the emotional memory trace: evidence from FMRI

Payne, J. D., & Kensinger, E. A. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21526 · Cited by 169

The long-run determinants of fertility: one century of demographic change 1900–1999

Herzer, D., Strulik, H., & Vollmer, S. (2012) · Journal of Economic Growth · doi:10.1007/s10887-012-9085-6 · Cited by 170

Functional gene group analysis identifies synaptic gene groups as risk factor for schizophrenia

the International Schizophrenia Consortium, Lips, E. S., Cornelisse, L. N., Toonen, R. F., Min, J. L., Hultman, C. M., Holmans, P. A., O'Donovan, M. C., Purcell, S. M., Smit, A. B., et al. (2012) · Molecular Psychiatry · doi:10.1038/mp.2011.117 · Cited by 167

Valid population inference for information-based imaging: From the second-level t -test to prevalence inference

Allefeld, C., Görgen, K., & Haynes, J.-D. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.07.040 · Cited by 157

A Genomewide Screen for Late-Onset Alzheimer Disease in a Genetically Isolated Dutch Population

Liu, F., Arias-Vásquez, A., Sleegers, K., Aulchenko, Y. S., Kayser, M., Sanchez-Juan, P., Feng, B.-J., Bertoli-Avella, A. M., van Swieten, J., Axenovich, T. I., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/518720 · Cited by 156

Inference about Variance Components in the One-Way Model

Hill, B. M. (1965) · Journal of the American Statistical Association · doi:10.1080/01621459.1965.10480829 · Cited by 155

Face-selective and auditory neurons in the primate orbitofrontal cortex

Rolls, E. T., Critchley, H. D., Browning, A. S., & Inoue, K. (2006) · Experimental Brain Research · doi:10.1007/s00221-005-0191-y · Cited by 151

New Developments in Econometric Methods for Labor Market Analysis

(1999) · Handbook of Labor Economics · doi:10.1016/s1573-4463(99)03005-9 · Cited by 152

Using genetic markers to orient the edges in quantitative trait networks: The NEO software

Aten, J. E., Fuller, T. F., Lusis, A. J., & Horvath, S. (2008) · BMC Systems Biology · doi:10.1186/1752-0509-2-34 · Cited by 147

Tests for no treatment effect in randomized clinical trials

GAIL, M. H., TAN, W. Y., & PIANTADOSI, S. (1988) · Biometrika · doi:10.1093/biomet/75.1.57 · Cited by 143

Significance tests as sorcery: Science is empirical—significance tests are not

Lambdin, C. (2012) · Theory & Psychology · doi:10.1177/0959354311429854 · Cited by 143

Diurnal variation of 17-hydroxycorticosteroids, sodium, potassium, magnesium and creatinine in normal subjects and in cases of treated adrenal insufficiency and Cushing's syndrome

DOE, R. P., VENNES, J. A., FLINK, E. B., ENGST, R., JOHNSON, P., & LEWIS, M. (1960) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem-20-2-253 · Cited by 137

Variability of human brain structure size: ages 4–20 years

Lange, N., Giedd, J. N., Xavier Castellanos, F., Vaituzis, A. C., & Rapoport, J. L. (1997) · Psychiatry Research: Neuroimaging · doi:10.1016/s0925-4927(96)03054-5 · Cited by 134

Lack of control by glucose of ultradian insulin secretory oscillations in impaired glucose tolerance and in non-insulin-dependent diabetes mellitus.

O'Meara, N. M., Sturis, J., Van Cauter, E., & Polonsky, K. S. (1993) · Journal of Clinical Investigation · doi:10.1172/jci116560 · Cited by 132

Controversies concerning randomization and additivity in clinical trials.

Senn, S. (2004) · Statistics in Medicine · doi:10.1002/sim.2074 · Cited by 132

Redefinition of the human kappa opioid receptor gene (OPRK1) structure and association of haplotypes with opiate addiction

Yuferov, V., Fussell, D., LaForge, K. S., Nielsen, D. A., Gordon, D., Ho, A., Leal, S. M., Ott, J., & Kreek, M. J. (2004) · Pharmacogenetics · doi:10.1097/00008571-200412000-00002 · Cited by 128

Assignment methods in experimentation: When do nonrandomized experiments approximate answers from randomized experiments?

Heinsman, D. T., & Shadish, W. R. (1996) · Psychological Methods · doi:10.1037/1082-989x.1.2.154 · Cited by 125

Mistimed food intake and sleep alters 24-hour time-of-day patterns of the human plasma proteome

Depner, C. M., Melanson, E. L., McHill, A. W., & Wright, K. P. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1714813115 · Cited by 122

When Genius Errs: R. A. Fisher and the Lung Cancer Controversy

Stolley, P. D. (1991) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a115904 · Cited by 119

Macrophage migration inhibitory factor and autism spectrum disorders

Grigorenko, E. L., Han, S. S., Yrigollen, C. M., Leng, L., Mizue, Y., Anderson, G. M., Mulder, E. J., de Bildt, A., Minderaa, R. B., Volkmar, F. R., et al. (2008) · PEDIATRICS · doi:10.1542/peds.2007-3604 · Cited by 118

The neural correlates of specific versus general autobiographical memory construction and elaboration

Holland, A. C., Addis, D. R., & Kensinger, E. A. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.07.015 · Cited by 118

Sleep spindles preferentially consolidate weakly encoded memories

Denis, D., Mylonas, D., Poskanzer, C., Bursal, V., Payne, J. D., & Stickgold, R. (2021) · The Journal of Neuroscience · doi:10.1523/jneurosci.0818-20.2021 · Cited by 112

Causation and Explanation in Social Science

Brady, H. E. (2009) · The Oxford Handbook of Political Methodology · doi:10.1093/oxfordhb/9780199286546.003.0010 · Cited by 141

Rising complexity and falling explanatory power in ecology

Low-Décarie, E., Chivers, C., & Granados, M. (2014) · Frontiers in Ecology and the Environment · doi:10.1890/130230 · Cited by 111

Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets

Xiong, Q., Ancona, N., Hauser, E. R., Mukherjee, S., & Furey, T. S. (2012) · Genome Research · doi:10.1101/gr.124370.111 · Cited by 103

Measures of effect size

Richardson, J. T. E. (1996) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03203631 · Cited by 103

On Sharing Quantitative Trait GWAS Results in an Era of Multiple-omics Data and the Limits of Genomic Privacy

Im, H. K., Gamazon, E. R., Nicolae, D. L., & Cox, N. J. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2012.02.008 · Cited by 103

Outlier Removal and the Relation with Reporting Errors and Quality of Psychological Research

Bakker, M., & Wicherts, J. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0103360 · Cited by 101

Applying the behaviour change technique (BCT) taxonomy v1: A study of coder training

Wood, C. E., Richardson, M., Johnston, M., Abraham, C., Francis, J., Hardeman, W., & Michie, S. (2015) · Translational Behavioral Medicine · doi:10.1007/s13142-014-0290-z · Cited by 100

The use of Latin-square designs in educational and psychological research

Richardson, J. T. E. (2018) · Educational Research Review · doi:10.1016/j.edurev.2018.03.003 · Cited by 104

Post-traumatic stress disorder: a right temporal lobe syndrome?

Engdahl, B., Leuthold, A. C., Tan, H.-R. M., Lewis, S. M., Winskowski, A. M., Dikel, T. N., & Georgopoulos, A. P. (2010) · Journal of Neural Engineering · doi:10.1088/1741-2560/7/6/066005 · Cited by 97

Factors influencing large wildland fire suppression expenditures

Liang, J., Calkin, D. E., Gebert, K. M., Venn, T. J., & Silverstein, R. P. (2008) · International Journal of Wildland Fire · doi:10.1071/wf07010 · Cited by 97

Aligning context-based statistical models of language with brain activity during reading

Wehbe, L., Vaswani, A., Knight, K., & Mitchell, T. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.3115/v1/d14-1030 · Cited by 95

Chronic Alcohol Exposure Disturbs Lipid Homeostasis at the Adipose Tissue-Liver Axis in Mice: Analysis of Triacylglycerols Using High-Resolution Mass Spectrometry in Combination with In Vivo Metabolite Deuterium Labeling

Wei, X., Shi, X., Zhong, W., Zhao, Y., Tang, Y., Sun, W., Yin, X., Bogdanov, B., Kim, S., McClain, C., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055382 · Cited by 94

Daily Rhythmicity of Serum Testosterone Concentration in the Male Laboratory Rat*

MOCK, E. J., NORTON, H. W., & FRANKEL, A. I. (1978) · Endocrinology · doi:10.1210/endo-103-4-1111 · Cited by 90

Does vitamin C alleviate the symptoms of the common cold? A review of current evidence

Hemilä, H. (1994) · Scandinavian Journal of Infectious Diseases · doi:10.3109/00365549409008582 · Cited by 88

Molecular and phenotypic analysis of rodent models reveals conserved and species-specific modulators of human sarcopenia

Börsch, A., Ham, D. J., Mittal, N., Tintignac, L. A., Migliavacca, E., Feige, J. N., Rüegg, M. A., & Zavolan, M. (2021) · Communications Biology · doi:10.1038/s42003-021-01723-z · Cited by 85

Remembering the specific visual details of presented objects: Neuroimaging evidence for effects of emotion

Kensinger, E. A., & Schacter, D. L. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.05.024 · Cited by 85

A multidimensional precision medicine approach identifies an autism subtype characterized by dyslipidemia

Luo, Y., Eran, A., Palmer, N., Avillach, P., Levy-Moonshine, A., Szolovits, P., & Kohane, I. S. (2020) · Nature Medicine · doi:10.1038/s41591-020-1007-0 · Cited by 78

Intergenerational transmission of alloparental behavior and oxytocin and vasopressin receptor distribution in the prairie vole

Perkeybile, A. M., Delaney-Busch, N., Hartman, S., Grimm, K. J., & Bales, K. L. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00191 · Cited by 76

The role of arousal in the spontaneous regulation of emotions in healthy aging: a fMRI investigation

Dolcos, S., Katsumi, Y., & Dixon, R. A. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00681 · Cited by 73