Applied Linear Statistical Models

Prediction of coronary heart disease using risk factor categories

Wilson, P. W. F., D’Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H., & Kannel, W. B. (1998) · Circulation · doi:10.1161/01.cir.97.18.1837 · Cited by 9,581

Motivational and self-regulated learning components of classroom academic performance.

Pintrich, P. R., & De Groot, E. V. (1990) · Journal of Educational Psychology · doi:10.1037/0022-0663.82.1.33 · Cited by 8,332

Construct Measurement and Validation Procedures in MIS and Behavioral Research: Integrating New and Existing Techniques1

MacKenzie, S. B., Podsakoff, P. M., & Podsakoff, N. P. (2011) · MIS Quarterly · doi:10.2307/23044045 · Cited by 3,165

A neural system for error detection and compensation

Gehring, W. J., Goss, B., Coles, M. G. H., Meyer, D. E., & Donchin, E. (1993) · Psychological Science · doi:10.1111/j.1467-9280.1993.tb00586.x · Cited by 2,862

Worldwide prevalence of anaemia, WHO Vitamin and Mineral Nutrition Information System, 1993–2005

McLean, E., Cogswell, M., Egli, I., Wojdyla, D., & de Benoist, B. (2009) · Public Health Nutrition · doi:10.1017/s1368980008002401 · Cited by 2,734

Anticipation of Increasing Monetary Reward Selectively Recruits Nucleus Accumbens

Knutson, B., Adams, C. M., Fong, G. W., & Hommer, D. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-16-j0002.2001 · Cited by 2,244

Trends in Obesity Prevalence Among Children and Adolescents in the United States, 1988-1994 Through 2013-2014

Ogden, C. L., Carroll, M. D., Lawman, H. G., Fryar, C. D., Kruszon-Moran, D., Kit, B. K., & Flegal, K. M. (2016) · JAMA · doi:10.1001/jama.2016.6361 · Cited by 2,178

Effects of exenatide (exendin-4) on glycemic control and weight over 30 weeks in metformin-treated patients with type 2 diabetes

DeFronzo, R. A., Ratner, R. E., Han, J., Kim, D. D., Fineman, M. S., & Baron, A. D. (2005) · Diabetes Care · doi:10.2337/diacare.28.5.1092 · Cited by 1,559

Environmental risk management and the cost of capital

Sharfman, M. P., & Fernando, C. S. (2008) · Strategic Management Journal · doi:10.1002/smj.678 · Cited by 1,530

Combining nonoverlap and trend for single-case research: Tau-U

Parker, R. I., Vannest, K. J., Davis, J. L., & Sauber, S. B. (2011) · Behavior Therapy · doi:10.1016/j.beth.2010.08.006 · Cited by 1,468

Personality, affect, and behavior in groups

George, J. M. (1990) · Journal of Applied Psychology · doi:10.1037/0021-9010.75.2.107 · Cited by 1,372

Best-practice recommendations for defining, identifying, and handling outliers

Aguinis, H., Gottfredson, R. K., & Joo, H. (2013) · Organizational Research Methods · doi:10.1177/1094428112470848 · Cited by 1,341

Dissociation of reward anticipation and outcome with event-related fMRI

Knutson, B., Fong, G. W., Adams, C. M., Varner, J. L., & Hommer, D. (2001) · Neuroreport · doi:10.1097/00001756-200112040-00016 · Cited by 1,300

Understanding the Link Between Information Technology Capability and Organizational Agility: An Empirical Examination1

Lu, Y., & Ramamurthy, K. (. (2011) · MIS Quarterly · doi:10.2307/41409967 · Cited by 1,309

SoilGrids1km — Global Soil Information Based on Automated Mapping

Hengl, T., de Jesus, J. M., MacMillan, R. A., Batjes, N. H., Heuvelink, G. B. M., Ribeiro, E., Samuel-Rosa, A., Kempen, B., Leenaars, J. G. B., Walsh, M. G., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0105992 · Cited by 1,268

Conducting Interrupted Time-series Analysis for Single- and Multiple-group Comparisons

Linden, A. (2015) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x1501500208 · Cited by 1,233

Translating developmental time across mammalian species

Clancy, B., Darlington, R. B., & Finlay, B. L. (2001) · Neuroscience · doi:10.1016/s0306-4522(01)00171-3 · Cited by 1,221

Effects of exenatide (exendin-4) on glycemic control over 30 weeks in patients with type 2 diabetes treated with metformin and a sulfonylurea

Kendall, D. M., Riddle, M. C., Rosenstock, J., Zhuang, D., Kim, D. D., Fineman, M. S., & Baron, A. D. (2005) · Diabetes Care · doi:10.2337/diacare.28.5.1083 · Cited by 1,177

CSF Biomarkers and Incipient Alzheimer Disease in Patients With Mild Cognitive Impairment

Mattsson, N. (2009) · JAMA · doi:10.1001/jama.2009.1064 · Cited by 1,176

Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results

Streukens, S., & Leroi-Werelds, S. (2016) · European Management Journal · doi:10.1016/j.emj.2016.06.003 · Cited by 1,120

Localization of grasp representations in humans by positron emission tomography: 2. Observation compared with imagination

Grafton, S., Arbib, M., Fadiga, L., & Rizzolatti, G. (1996) · Experimental Brain Research · doi:10.1007/bf00227183 · Cited by 1,045

Issues in Linking Information Technology Capability to Firm Performance1

Santhanam, R., & Hartono, E. (2003) · MIS Quarterly · doi:10.2307/30036521 · Cited by 1,026

Converting Web Site Visitors into Buyers: How Web Site Investment Increases Consumer Trusting Beliefs and Online Purchase Intentions

Schlosser, A. E., White, T. B., & Lloyd, S. M. (2006) · Journal of Marketing · doi:10.1509/jmkg.70.2.133 · Cited by 947

Gene Expression Deficits in a Subclass of GABA Neurons in the Prefrontal Cortex of Subjects with Schizophrenia

Hashimoto, T., Volk, D. W., Eggan, S. M., Mirnics, K., Pierri, J. N., Sun, Z., Sampson, A. R., & Lewis, D. A. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-15-06315.2003 · Cited by 938

Regression and model-building in conservation biology, biogeography and ecology: The distinction between – and reconciliation of – ‘predictive’ and ‘explanatory’ models

Mac Nally, R. (2000) · Biodiversity & Conservation · doi:10.1023/a:1008985925162 · Cited by 938

Inappropriate use of bivariable analysis to screen risk factors for use in multivariable analysis

Sun, G.-W., Shook, T. L., & Kay, G. L. (1996) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(96)00025-x · Cited by 933

Cultural affordances and emotional experience: socially engaging and disengaging emotions in Japan and the United States

Kitayama, S., Mesquita, B., & Karasawa, M. (2006) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.91.5.890 · Cited by 925

The information content of mandatory risk factor disclosures in corporate filings

Campbell, J. L., Chen, H., Dhaliwal, D. S., Lu, H.-M., & Steele, L. B. (2014) · Review of Accounting Studies · doi:10.1007/s11142-013-9258-3 · Cited by 923

Bilingualism is not a categorical variable: Interaction between language proficiency and usage

Luk, G., & Bialystok, E. (2013) · Journal of Cognitive Psychology · doi:10.1080/20445911.2013.795574 · Cited by 859

The Effects of Prosocial Video Games on Prosocial Behaviors: International Evidence From Correlational, Longitudinal, and Experimental Studies

Gentile, D. A., Anderson, C. A., Yukawa, S., Ihori, N., Saleem, M., Ming, L. K., Shibuya, A., Liau, A. K., Khoo, A., Bushman, B. J., et al. (2009) · Personality and Social Psychology Bulletin · doi:10.1177/0146167209333045 · Cited by 731

Detecting depression and mental illness on social media: an integrative review

Guntuku, S. C., Yaden, D. B., Kern, M. L., Ungar, L. H., & Eichstaedt, J. C. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.07.005 · Cited by 722

Decreased Glutamic Acid Decarboxylase67 Messenger RNA Expression in a Subset of Prefrontal Cortical γ-Aminobutyric Acid Neurons in Subjects With Schizophrenia

Volk, D. W., Austin, M. C., Pierri, J. N., Sampson, A. R., & Lewis, D. A. (2000) · Archives of General Psychiatry · doi:10.1001/archpsyc.57.3.237 · Cited by 697

In vitro and in vivo degradation of porous poly(dl-lactic-co-glycolic acid) foams

Lu, L., Peter, S. J., D. Lyman, M., Lai, H.-L., Leite, S. M., Tamada, J. A., Uyama, S., Vacanti, J. P., Langer, R., & Mikos, A. G. (2000) · Biomaterials · doi:10.1016/s0142-9612(00)00047-8 · Cited by 668

Good and poor adherence: optimal cut-point for adherence measures using administrative claims data.

Karve, S., Cleves, M. A., Helm, M., Hudson, T. J., West, D. S., & Martin, B. C. (2009) · Current Medical Research and Opinion · doi:10.1185/03007990903126833 · Cited by 620

Stress-induced redistribution of immune cells–from barracks to boulevards to battlefields: a tale of three hormones–Curt Richter Award winner

Dhabhar, F. S., Malarkey, W. B., Neri, E., & McEwen, B. S. (2012) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2012.05.008 · Cited by 589

Incentive-elicited brain activation in adolescents: Similarities and differences from young adults

Bjork, J. M., Knutson, B., Fong, G. W., Caggiano, D. M., Bennett, S. M., & Hommer, D. W. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.4862-03.2004 · Cited by 567

Neural activity related to drug craving in cocaine addiction

Kilts, C. D., Schweitzer, J. B., Quinn, C. K., Gross, R. E., Faber, T. L., Muhammad, F., Ely, T. D., Hoffman, J. M., & Drexler, K. P. G. (2001) · Archives of General Psychiatry · doi:10.1001/archpsyc.58.4.334 · Cited by 556

What drives Malaysian m-commerce adoption? An empirical analysis

Tsu Wei, T., Marthandan, G., Yee‐Loong Chong, A., Ooi, K., & Arumugam, S. (2009) · Industrial Management & Data Systems · doi:10.1108/02635570910939399 · Cited by 550

Default Bayes Factors for Model Selection in Regression

Rouder, J. N., & Morey, R. D. (2012) · Multivariate Behavioral Research · doi:10.1080/00273171.2012.734737 · Cited by 477

Optimal Linear Combinations of Neural Networks

Hashem, S. (1997) · Neural Networks · doi:10.1016/s0893-6080(96)00098-6 · Cited by 499

What type of content are smartphone users addicted to?: SNS vs. games

Jeong, S.-H., Kim, H., Yum, J.-Y., & Hwang, Y. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.07.035 · Cited by 500

Neural Responses to Monetary Incentives in Major Depression

Knutson, B., Bhanji, J. P., Cooney, R. E., Atlas, L. Y., & Gotlib, I. H. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.07.023 · Cited by 496

Alterations in GABA-related transcriptome in the dorsolateral prefrontal cortex of subjects with schizophrenia

Hashimoto, T., Arion, D., Unger, T., Maldonado-Avilés, J. G., Morris, H. M., Volk, D. W., Mirnics, K., & Lewis, D. A. (2008) · Molecular Psychiatry · doi:10.1038/sj.mp.4002011 · Cited by 490

Untitled work

Hakuta (2003) · doi:10.1111/1467-9280.01415 · Cited by 479

Meta-analysis of functional neuroimaging data: current and future directions

Wager, T. D., Lindquist, M., & Kaplan, L. (2007) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsm015 · Cited by 434

PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference

Ankit, A., Hajj, I. E., Chalamalasetti, S. R., Ndu, G., Foltin, M., Williams, R. S., Faraboschi, P., Hwu, W.-M. W., Strachan, J. P., Roy, K., et al. (2019) · Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems · doi:10.1145/3297858.3304049 · Cited by 424

Brain growth, life history, and cognition in primate and human evolution

LEIGH, S. R. (2004) · American Journal of Primatology · doi:10.1002/ajp.20012 · Cited by 374

Different topics, different discourse: Relationships among writing topic, measures of syntactic complexity, and judgments of writing quality.

Yang, W., Lu, X., & Weigle, S. C. (2015) · Journal of Second Language Writing · doi:10.1016/j.jslw.2015.02.002 · Cited by 349

Mesocosm experiments quantify the effects of eutrophication on eelgrass, Zostera marina

Short, F. T., Burdick, D. M., & Kaldy, J. E. (1995) · Limnology and Oceanography · doi:10.4319/lo.1995.40.4.0740 · Cited by 343

Design, implementation and validation of a novel open framework for agile development of mobile health applications

Banos, O., Villalonga, C., Garcia, R., Saez, A., Damas, M., Holgado-Terriza, J. A., Lee, S., Pomares, H., & Rojas, I. (2015) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-14-s2-s6 · Cited by 321

Prenatal maternal anxiety and depression predict negative behavioral reactivity in infancy

Davis, E. P., Snidman, N., Wadhwa, P. D., Glynn, L. M., Schetter, C. D., & Sandman, C. A. (2004) · Infancy · doi:10.1207/s15327078in0603_1 · Cited by 317

Structure and Diagnosis of Adult Attention-Deficit/Hyperactivity Disorder: Analysis of Expanded Symptom Criteria From the Adult ADHD Clinical Diagnostic Scale

Kessler, R. C., Green, J. G., Adler, L. A., Barkley, R. A., Chatterji, S., Faraone, S. V., Finkelman, M., Greenhill, L. L., Gruber, M. J., Jewell, M., et al. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.146 · Cited by 317

Depression treatment preferences in older primary care patients

Gum, A. M., Areán, P. A., Hunkeler, E., Tang, L., Katon, W., Hitchcock, P., Steffens, D. C., Dickens, J., & Unützer, J. (2006) · The Gerontologist · doi:10.1093/geront/46.1.14 · Cited by 288

Overweight in Children and Adolescents in Relation to Attention-Deficit/Hyperactivity Disorder: Results From a National Sample

Waring, M. E., & Lapane, K. L. (2008) · Pediatrics · doi:10.1542/peds.2007-1955 · Cited by 294

Quantitative Structure−Activity Relationship Modeling of Rat Acute Toxicity by Oral Exposure

Zhu, H., Martin, T. M., Ye, L., Sedykh, A., Young, D. M., & Tropsha, A. (2009) · Chemical Research in Toxicology · doi:10.1021/tx900189p · Cited by 287

Temporal, Spatial, and Environmental Influences on the Demographics of Grizzly Bears in the Greater Yellowstone Ecosystem

SCHWARTZ, C. C., HAROLDSON, M. A., WHITE, G. C., HARRIS, R. B., CHERRY, S., KEATING, K. A., MOODY, D., & SERVHEEN, C. (2006) · Wildlife Monographs · doi:10.2193/0084-0173(2006)161[1:tsaeio]2.0.co;2 · Cited by 277

Orthogonalization of regressors in fMRI models

Mumford, J. A., Poline, J.-B., & Poldrack, R. A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0126255 · Cited by 276

Relative effects of nutrient enrichment and grazing on epiphyte-macrophyte (Zostera marina L.) dynamics

Neckles, H. A., Wetzel, R. L., & Orth, R. J. (1993) · Oecologia · doi:10.1007/bf00317683 · Cited by 276

Time Series Analysis Using Autoregressive Integrated Moving Average (ARIMA) Models

Nelson, B. K. (1998) · Academic Emergency Medicine · doi:10.1111/j.1553-2712.1998.tb02493.x · Cited by 262

Decreased Somal Size of Deep Layer 3 Pyramidal Neurons in the Prefrontal Cortex of Subjects With Schizophrenia

Pierri, J. N., Volk, C. L. E., Auh, S., Sampson, A., & Lewis, D. A. (2001) · Archives of General Psychiatry · doi:10.1001/archpsyc.58.5.466 · Cited by 257

Context-processing deficits in schizophrenia: Diagnostic specificity, 4-week course, and relationships to clinical symptoms.

Barch, D. M., Carter, C. S., MacDonald, A. W., Braver, T. S., & Cohen, J. D. (2003) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.112.1.132 · Cited by 255

Zinc Intake of the U.S. Population: Findings from the Third National Health and Nutrition Examination Survey, 1988–1994

Briefel, R. R., Bialostosky, K., Kennedy-Stephenson, J., McDowell, M. A., Ervin, R. B., & Wright, J. D. (2000) · The Journal of Nutrition · doi:10.1093/jn/130.5.1367s · Cited by 252

Effects of rosiglitazone, glyburide, and metformin on β-cell function and insulin sensitivity in ADOPT

Kahn, S. E., Lachin, J. M., Zinman, B., Haffner, S. M., Aftring, R. P., Paul, G., Kravitz, B. G., Herman, W. H., Viberti, G., Holman, R. R., et al. (2011) · Diabetes · doi:10.2337/db10-1392 · Cited by 249

Can we predict customer lifetime value?

Malthouse, E. C., & Blattberg, R. C. (2005) · Journal of Interactive Marketing · doi:10.1002/dir.20027 · Cited by 248

Probing the neural correlates of anticipated peer evaluation in adolescence

Guyer, A. E., McClure-Tone, E. B., Shiffrin, N. D., Pine, D. S., & Nelson, E. E. (2009) · Child Development · doi:10.1111/j.1467-8624.2009.01313.x · Cited by 239

Understanding ERP system adoption from the user's perspective

Chang, M.-K., Cheung, W., Cheng, C.-H., & Yeung, J. H. Y. (2008) · International Journal of Production Economics · doi:10.1016/j.ijpe.2007.08.011 · Cited by 236

Molecular mechanisms contributing to dendritic spine alterations in the prefrontal cortex of subjects with schizophrenia

Hill, J. J., Hashimoto, T., & Lewis, D. A. (2006) · Molecular Psychiatry · doi:10.1038/sj.mp.4001792 · Cited by 228

Influence of caring for COVID‐19 patients on nurse's turnover, work satisfaction and quality of care

Lavoie‐Tremblay, M., Gélinas, C., Aubé, T., Tchouaket, E., Tremblay, D., Gagnon, M., & Côté, J. (2022) · Journal of Nursing Management · doi:10.1111/jonm.13462 · Cited by 224

Amphetamine improves cognitive function in medicated individuals with schizophrenia and in healthy volunteers

Barch, D. M., & Carter, C. S. (2005) · Schizophrenia Research · doi:10.1016/j.schres.2004.12.019 · Cited by 222

Genome-Wide Gene-Environment Study Identifies Glutamate Receptor Gene GRIN2A as a Parkinson's Disease Modifier Gene via Interaction with Coffee

Hamza, T. H., Chen, H., Hill-Burns, E. M., Rhodes, S. L., Montimurro, J., Kay, D. M., Tenesa, A., Kusel, V. I., Sheehan, P., Eaaswarkhanth, M., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002237 · Cited by 218

Striatal functional alteration in adolescents characterized by early childhood behavioral inhibition

Guyer, A. E., Nelson, E. E., Perez-Edgar, K., Hardin, M. G., Roberson-Nay, R., Monk, C. S., Bjork, J. M., Henderson, H. A., Pine, D. S., Fox, N. A., et al. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.0666-06.2006 · Cited by 211

Psychological well‐being and the human conserved transcriptional response to adversity

Fredrickson, B. L., Grewen, K. M., Algoe, S. B., Firestine, A. M., Arevalo, J. M. G., Ma, J., & Cole, S. W. (2015) · PLOS ONE · doi:10.1371/journal.pone.0121839 · Cited by 205

Personality traits among currently eating disordered, recovered and never ill first-degree female relatives of bulimic and control women

LILENFELD, L. R. R., STEIN, D., BULIK, C. M., STROBER, M., PLOTNICOV, K., POLLICE, C., RAO, R., MERIKANGAS, K. R., NAGY, L., & KAYE, W. H. (2000) · Psychological Medicine · doi:10.1017/s0033291799002792 · Cited by 206

Shortfalls and opportunities in terrestrial vertebrate species discovery

Moura, M. R., & Jetz, W. (2021) · Nature Ecology & Evolution · doi:10.1038/s41559-021-01411-5 · Cited by 196

Accounting for heterogeneity via random-effects models and moderator analyses in meta-analysis.

Viechtbauer, W. (2007) · Zeitschrift für Psychologie / Journal of Psychology · doi:10.1027/0044-3409.215.2.104 · Cited by 193

Experimental design and quantitative analysis of microbial community multiomics

Mallick, H., Ma, S., Franzosa, E. A., Vatanen, T., Morgan, X. C., & Huttenhower, C. (2017) · Genome Biology · doi:10.1186/s13059-017-1359-z · Cited by 192

Interspecific variation in fear responses predicts urbanization in birds

Moller, A. P. (2010) · Behavioral Ecology · doi:10.1093/beheco/arp199 · Cited by 189

Bioequivalence of Generic and Brand-name Levothyroxine Products in the Treatment of Hypothyroidism

Dong, B. J. (1997) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1997.03540390035032 · Cited by 185

The Effect of Calfhood Diseases on Growth of Female Dairy Calves During the First 3 Months of Life in New York State

Virtala, A.-M. K., Mechor, G. D., Gröhn, Y. T., & Erb, H. N. (1996) · Journal of Dairy Science · doi:10.3168/jds.s0022-0302(96)76457-3 · Cited by 182

A model for integrating fixed-, random-, and mixed-effects meta-analyses into structural equation modeling.

Cheung, M. W.-L. (2008) · Psychological Methods · doi:10.1037/a0013163 · Cited by 175

Sources of group differences in functional connectivity: An investigation applied to autism spectrum disorder

Jones, T. B., Bandettini, P. A., Kenworthy, L., Case, L. K., Milleville, S. C., Martin, A., & Birn, R. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.07.051 · Cited by 172

Postprandial triglyceridemia and carotid atherosclerosis in middle-aged subjects

Ryu, J. E., Howard, G., Craven, T. E., Bond, M. G., Hagaman, A. P., & Crouse, J. R. (1992) · Stroke · doi:10.1161/01.str.23.6.823 · Cited by 169

Macroecology of a host‐parasite relationship

Vaughn, C. C., & Taylor, C. M. (2000) · Ecography · doi:10.1111/j.1600-0587.2000.tb00256.x · Cited by 171

Do well-being and resilience predict the Foreign Language Teaching Enjoyment of teachers of Italian?

Proietti Ergün, A. L., & Dewaele, J.-M. (2021) · System · doi:10.1016/j.system.2021.102506 · Cited by 166

Testing a complete-diet model for estimating the land resource requirements of food consumption and agricultural carrying capacity: The New York State example

Peters, C. J., Wilkins, J. L., & Fick, G. W. (2007) · Renewable Agriculture and Food Systems · doi:10.1017/s1742170507001767 · Cited by 165

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

Bradykinin and des-Arg9-bradykinin metabolic pathways and kinetics of activation of human plasma

Cyr, M., Lepage, Y., Blais, C., Gervais, N., Cugno, M., Rouleau, J.-L., & Adam, A. (2001) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.2001.281.1.h275 · Cited by 160

Isolated soy protein consumption reduces urinary albumin excretion and improves the serum lipid profile in men with type 2 diabetes mellitus and nephropathy

Teixeira, S. R., Tappenden, K. A., Carson, L., Erdman, J. W., Jones, R., Prabhudesai, M., & Marshall, W. P. (2004) · The Journal of Nutrition · doi:10.1093/jn/134.8.1874 · Cited by 157

Termination outcomes of research alliances

Reuer, J. J., & Zollo, M. (2005) · Research Policy · doi:10.1016/j.respol.2004.11.003 · Cited by 157

Reaction–diffusion theory explains hypoxia and heterogeneous growth within microbial biofilms associated with chronic infections

Stewart, P. S., Zhang, T., Xu, R., Pitts, B., Walters, M. C., Roe, F., Kikhney, J., & Moter, A. (2016) · npj Biofilms and Microbiomes · doi:10.1038/npjbiofilms.2016.12 · Cited by 157

Effectiveness of privacy assurance mechanisms in users' privacy protection on social networking sites from the perspective of protection motivation theory

Mousavi, R., Chen, R., Kim, D. J., & Chen, K. (2020) · Decision Support Systems · doi:10.1016/j.dss.2020.113323 · Cited by 156

Biopersistence of Synthetic Vitreous Fibers and Amosite Asbestos in the Rat Lung Following Inhalation

Hesterberg, T. W., Chase, G., Axten, C., Miller, W. C., Musselman, R. P., Kamstrup, O., Hadley, J., Morscheidt, C., Bernstein, D. M., & Thevenaz, P. (1998) · Toxicology and Applied Pharmacology · doi:10.1006/taap.1998.8472 · Cited by 149

Classification of depression patients and normal subjects based on electroencephalogram (EEG) signal using alpha power and theta asymmetry

Mahato, S., & Paul, S. (2020) · Journal of Medical Systems · doi:10.1007/s10916-019-1486-z · Cited by 148

Statistics For Correlated Data: Phylogenies, Space, And Time

Ives, A. R., & Zhu, J. (2006) · Ecological Applications · doi:10.1890/04-0702 · Cited by 147

Age, body mass index, race and other determinants of steroid hormone variability: the HERITAGE Family Study

Ukkola, O., Gagnon, J., Rankinen, T., Thompson, P., Hong, Y., Leon, A., Rao, D., Skinner, J., Wilmore, J., & Bouchard, C. (2001) · European Journal of Endocrinology · doi:10.1530/eje.0.1450001 · Cited by 138

Angiotensin-Converting Enzyme Inhibitor-Associated Angioedema Is Characterized by a Slower Degradation of des-Arginine9-Bradykinin

Molinaro, G., Cugno, M., Perez, M., Lepage, Y., Gervais, N., Agostoni, A., & Adam, A. (2002) · The Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.102.038067 · Cited by 137

Long-term response of spring flora to chronic herbivory and deer exclusion in Great Smoky Mountains National Park, USA

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