R: A Language and Environment for Statistical Computing

Endostructural characterization of the H. heidelbergensis dental remains from the early Middle Pleistocene site of Tighenif, Algeria

Zanolli, C., & Mazurier, A. (2013) · Comptes Rendus Palevol · doi:10.1016/j.crpv.2013.06.004 · Cited by 60

Controlling for behavioural state reveals social dynamics among male African elephants, Loxodonta africana

Goldenberg, S. Z., de Silva, S., Rasmussen, H. B., Douglas-Hamilton, I., & Wittemyer, G. (2014) · Animal Behaviour · doi:10.1016/j.anbehav.2014.07.002 · Cited by 61

Does social exclusion by classmates lead to behaviour problems and learning difficulties or vice versa? A cross-lagged panel analysis

Krull, J., Wilbert, J., & Hennemann, T. (2018) · European Journal of Special Needs Education · doi:10.1080/08856257.2018.1424780 · Cited by 61

Association of Hemoglobin A 1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin: Analysis From the Observational Health Data Sciences and Informatics Initiative

Vashisht, R., Jung, K., Schuler, A., Banda, J. M., Park, R. W., Jin, S., Li, L., Dudley, J. T., Johnson, K. W., Shervey, M. M., et al. (2018) · JAMA Network Open · doi:10.1001/jamanetworkopen.2018.1755 · Cited by 61

Algal biomass from wastewater: soil phosphorus bioavailability and plants productivity

Castro, J. D. S., Calijuri, M. L., Mattiello, E. M., Ribeiro, V. J., & Assemany, P. P. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.135088 · Cited by 60

Circadian rhythms in bed rest: monitoring core body temperature via heat-flux approach is superior to skin surface temperature

Mendt, S., Maggioni, M. A., Nordine, M., Steinach, M., Opatz, O., Belavý, D., Felsenberg, D., Koch, J., Shang, P., Gunga, H.-C., et al. (2017) · Chronobiology International · doi:10.1080/07420528.2016.1224241 · Cited by 60

Single-Session Acceptance and Commitment Therapy (ACT) Interventions for Patients with Chronic Health Conditions: A Systematic Review and Meta-Analysis

Dochat, C., Wooldridge, J. S., Herbert, M. S., Lee, M. W., & Afari, N. (2021) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2021.03.003 · Cited by 60

A novel serotonin-secreting cell type regulates ciliary motility in the mucociliary epidermis of Xenopus tadpoles

Walentek, P., Bogusch, S., Thumberger, T., Vick, P., Dubaissi, E., Beyer, T., Blum, M., & Schweickert, A. (2014) · Development · doi:10.1242/dev.102343 · Cited by 61

Nonattachment mediates the associations between mindfulness, well-being, and psychological distress: A meta-analytic structural equation modeling approach

Ho, C. Y. Y., Yu, B. C. L., & Mak, W. W. S. (2022) · Clinical Psychology Review · doi:10.1016/j.cpr.2022.102175 · Cited by 62

Treating children and adolescents with multiple traumas: A randomized clinical trial of narrative exposure therapy

Peltonen, K., & Kangaslampi, S. (2019) · European Journal of Psychotraumatology · doi:10.1080/20008198.2018.1558708 · Cited by 61

The Missing=Smoking Assumption: A Fallacy in Internet-Based Smoking Cessation Trials?

Blankers, M., Smit, E. S., van der Pol, P., de Vries, H., Hoving, C., & van Laar, M. (2015) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntv055 · Cited by 61

A novel quantification-driven proteomic strategy identifies an endogenous peptide of pleiotrophin as a new biomarker of Alzheimer’s disease

Skillbäck, T., Mattsson, N., Hansson, K., Mirgorodskaya, E., Dahlén, R., van der Flier, W., Scheltens, P., Duits, F., Hansson, O., Teunissen, C., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-13831-0 · Cited by 61

Systemic and local immune responses to intraocular AAV vector administration in non-human primates

Ail, D., Ren, D., Brazhnikova, E., Nouvel-Jaillard, C., Bertin, S., Mirashrafi, S. B., Fisson, S., & Dalkara, D. (2022) · Molecular Therapy - Methods & Clinical Development · doi:10.1016/j.omtm.2022.01.011 · Cited by 61

Nomophobia Questionnaire (NMP-Q): Factorial structure and cut-off points for the Spanish version

León-Mejía, A., Calvete, E., Patino-Alonso, C., Machimbarrena, J. M., & González-Cabrera, J. (2020) · Adicciones · doi:10.20882/adicciones.1316 · Cited by 61

Landscape heterogeneity predicts gene flow in a widespread polymorphic bumble bee, Bombus bifarius (Hymenoptera: Apidae)

Lozier, J. D., Strange, J. P., & Koch, J. B. (2013) · Conservation Genetics · doi:10.1007/s10592-013-0498-3 · Cited by 61

Pervasive duplication of tumor suppressors in Afrotherians during the evolution of large bodies and reduced cancer risk

Vazquez, J. M., & Lynch, V. J. (2021) · eLife · doi:10.7554/elife.65041 · Cited by 61

Noncollapsibility and its role in quantifying confounding bias in logistic regression

Schuster, N. A., Twisk, J. W. R., ter Riet, G., Heymans, M. W., & Rijnhart, J. J. M. (2021) · BMC Medical Research Methodology · doi:10.1186/s12874-021-01316-8 · Cited by 61

Associations between Adolescents’ Prosocial Experiences and Mental Health During the COVID-19 Pandemic

Alvis, L., Douglas, R., Shook, N., & Oosterhoff, B. (2020) · doi:10.31234/osf.io/2s73n · Cited by 60

Heritability, Stability, and Prevalence of Tonic and Phasic Irritability as Indicators of Disruptive Mood Dysregulation Disorder

Moore, A. A., Lapato, D. M., Brotman, M. A., Leibenluft, E., Aggen, S. H., Hettema, J. M., York, T. P., Silberg, J. L., & Roberson‐Nay, R. (2019) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13062 · Cited by 60

Corpus callosum area and brain volume in autism spectrum disorder: quantitative analysis of structural MRI from the ABIDE Database

Kucharsky Hiess, R., Alter, R., Sojoudi, S., Ardekani, B. A., Kuzniecky, R., & Pardoe, H. R. (2015) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-015-2468-8 · Cited by 56

Behavioral and sociodemographic predictors of anxiety and depression in patients under epidemiological surveillance for COVID-19 in Ecuador

Paz, C., Mascialino, G., Adana-Díaz, L., Rodríguez-Lorenzana, A., Simbaña-Rivera, K., Gómez-Barreno, L., Troya, M., Paez, M. I., Cárdenas, J., Gerstner, R. M., et al. (2020) · PLOS ONE · doi:10.1371/journal.pone.0240008 · Cited by 60

Safety behaviors, experiential avoidance, and anxiety: A path analysis approach

Kirk, A., Meyer, J. M., Whisman, M. A., Deacon, B. J., & Arch, J. J. (2019) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2019.03.002 · Cited by 59

Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling

Mayourian, J., La Cava, W. G., Vaid, A., Nadkarni, G. N., Ghelani, S. J., Mannix, R., Geva, T., Dionne, A., Alexander, M. E., Duong, S. Q., et al. (2024) · Circulation · doi:10.1161/circulationaha.123.067750 · Cited by 59

Dynamic ElecTronic hEalth reCord deTection (DETECT) of individuals at risk of a first episode of psychosis: a case-control development and validation study

Raket, L. L., Jaskolowski, J., Kinon, B. J., Brasen, J. C., Jönsson, L., Wehnert, A., & Fusar-Poli, P. (2020) · The Lancet Digital Health · doi:10.1016/s2589-7500(20)30024-8 · Cited by 60

Drifting baited stereo-videography: a novel sampling tool for surveying pelagic wildlife in offshore marine reserves

Bouchet, P. J., & Meeuwig, J. J. (2015) · Ecosphere · doi:10.1890/es14-00380.1 · Cited by 59

The contribution of GWAS loci in familial dyslipidemias

Ripatti, P., Rämö, J. T., Söderlund, S., Surakka, I., Matikainen, N., Pirinen, M., Pajukanta, P., Sarin, A.-P., Service, S. K., Laurila, P.-P., et al. (2016) · PLOS Genetics · doi:10.1371/journal.pgen.1006078 · Cited by 60

Nicotine matters in predicting subsequent smoking after e-cigarette experimentation: a longitudinal study among Finnish adolescents

Kinnunen, J. M., Ollila, H., Minkkinen, J., Lindfors, P. L., Timberlake, D. S., & Rimpelä, A. H. (2019) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2019.04.019 · Cited by 55

Third-Party Genetic Interpretation Tools: A Mixed-Methods Study of Consumer Motivation and Behavior

Nelson, S. C., Bowen, D. J., & Fullerton, S. M. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2019.05.014 · Cited by 56

Multi-cohort cerebrospinal fluid proteomics identifies robust molecular signatures across the Alzheimer disease continuum

Ali, M., Timsina, J., Western, D., Liu, M., Beric, A., Budde, J., Do, A., Heo, G., Wang, L., Gentsch, J., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.02.014 · Cited by 61

Landscape complexity and functional groups moderate the effect of diversified farming on biodiversity: A global meta-analysis

Sánchez, A. C., Jones, S. K., Purvis, A., Estrada-Carmona, N., & De Palma, A. (2022) · Agriculture, Ecosystems & Environment · doi:10.1016/j.agee.2022.107933 · Cited by 60

Emergency department-based brief intervention to reduce risky driving and hazardous/harmful drinking in young adults: a randomized controlled trial

Sommers, M. S., Lyons, M. S., Fargo, J. D., Sommers, B. D., McDonald, C. C., Shope, J. T., & Fleming, M. F. (2013) · Alcoholism: Clinical and Experimental Research · doi:10.1111/acer.12142 · Cited by 59

Evaluating developmental shape changes in Homo antecessor subadult facial morphology

Freidline, S. E., Gunz, P., Harvati, K., & Hublin, J.-J. (2013) · Journal of Human Evolution · doi:10.1016/j.jhevol.2013.07.012 · Cited by 59

Concordance between the diagnostic guidelines for alcohol and cannabis use disorders in the draft ICD‐11 and other classification systems: analysis of data from the WHO's World Mental Health Surveys

Degenhardt, L., Bharat, C., Bruno, R., Glantz, M. D., Sampson, N. A., Lago, L., Aguilar‐Gaxiola, S., Alonso, J., Andrade, L. H., Bunting, B., et al. (2019) · Addiction · doi:10.1111/add.14482 · Cited by 60

Combined transcriptome and proteome profiling reveals specific molecular brain signatures for sex, maturation and circalunar clock phase

Schenk, S., Bannister, S. C., Sedlazeck, F. J., Anrather, D., Minh, B. Q., Bileck, A., Hartl, M., von Haeseler, A., Gerner, C., Raible, F., et al. (2019) · eLife · doi:10.7554/elife.41556 · Cited by 59

The importance of inorganic carbon in soil carbon databases and stock estimates: A case study from England

Rawlins, B. G., Henrys, P., Breward, N., Robinson, D. A., Keith, A. M., & Garcia‐Bajo, M. (2011) · Soil Use and Management · doi:10.1111/j.1475-2743.2011.00348.x · Cited by 60

Lung cancer and occupation: a New Zealand cancer registry-based case-control study

Corbin, M., McLean, D., Mannetje, A. '., Dryson, E., Walls, C., McKenzie, F., Maule, M., Cheng, S., Cunningham, C., Kromhout, H., et al. (2011) · American Journal of Industrial Medicine · doi:10.1002/ajim.20906 · Cited by 60

Anxiety and depression symptoms in children and adolescents who stutter: A systematic review and meta-analysis

Bernard, R., Hofslundsengen, H., & Frazier Norbury, C. (2022) · Journal of Speech, Language, and Hearing Research · doi:10.1044/2021_jslhr-21-00236 · Cited by 61

Fish-Oil Supplementation and Cardiovascular Events in Patients Receiving Hemodialysis

Lok, C. E., Farkouh, M., Hemmelgarn, B. R., Moist, L. M., Polkinghorne, K. R., Tomlinson, G., Tam, P., Tonelli, M., & Udell, J. A. (2026) · New England Journal of Medicine · doi:10.1056/nejmoa2513032 · Cited by 60

Cyclic voles and shrews and non-cyclic mice in a marginal grassland within European temperate forest

Zub, K., Jędrzejewska, B., Jędrzejewski, W., & Bartoń, K. A. (2012) · Acta Theriologica · doi:10.1007/s13364-012-0072-2 · Cited by 60

Being Old Doesn’t Mean Acting Old: How Older Users Interact with Spoken Dialog Systems

Wolters, M., Georgila, K., Moore, J. D., & MacPherson, S. E. (2009) · ACM Transactions on Accessible Computing · doi:10.1145/1525840.1525842 · Cited by 60

Occupational exposure and health risks of volatile organic compounds of hotel housekeepers: Field measurements of exposure and health risks

Lin, N., Rosemberg, M., Li, W., Meza‐Wilson, E., Godwin, C., & Batterman, S. (2021) · Indoor Air · doi:10.1111/ina.12709 · Cited by 59

Offender strategies for engaging children in online sexual activity

Joleby, M., Lunde, C., Landström, S., & Jonsson, L. S. (2021) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2021.105214 · Cited by 59

Media and social media attention to retracted articles according to Altmetric

Serghiou, S., Marton, R. M., & Ioannidis, J. P. A. (2021) · PLOS ONE · doi:10.1371/journal.pone.0248625 · Cited by 55

The Mutant KRAS Gene Up-regulates BCL-XL Protein via STAT3 to Confer Apoptosis Resistance That Is Reversed by BIM Protein Induction and BCL-XL Antagonism

Zaanan, A., Okamoto, K., Kawakami, H., Khazaie, K., Huang, S., & Sinicrope, F. A. (2015) · Journal of Biological Chemistry · doi:10.1074/jbc.m115.657833 · Cited by 59

Diabetic neuropathy is a substantial burden in people with type 1 diabetes and is strongly associated with socioeconomic disadvantage: A population-representative study from Scotland

Jeyam, A., McGurnaghan, S. J., Blackbourn, L. A. K., McKnight, J. M., Green, F., Collier, A., McKeigue, P. M., & Colhoun, H. M. (2020) · Diabetes Care · doi:10.2337/dc19-1582 · Cited by 59

Associations between Child Maltreatment, Harsh Parenting, and Sleep with Adolescent Mental Health

Calhoun, B. H., Ridenour, T. A., & Fishbein, D. H. (2019) · Journal of Child and Family Studies · doi:10.1007/s10826-018-1261-7 · Cited by 56

Native soil fungi associated with compostable plastics in three contrasting agricultural settings

Moore-Kucera, J., Cox, S. B., Peyron, M., Bailes, G., Kinloch, K., Karich, K., Miles, C., Inglis, D. A., & Brodhagen, M. (2014) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-014-5711-x · Cited by 58

Meta-analysis of gene coexpression networks in the post-mortem prefrontal cortex of patients with schizophrenia and unaffected controls

Mistry, M., Gillis, J., & Pavlidis, P. (2013) · BMC Neuroscience · doi:10.1186/1471-2202-14-105 · Cited by 59

Information transfer and the hospital discharge summary: National primary care provider perspectives of challenges and opportunities.

Robelia, P. M., Kashiwagi, D. T., Jenkins, S. M., Newman, J. S., & Sorita, A. (2017) · The Journal of the American Board of Family Medicine · doi:10.3122/jabfm.2017.06.170194 · Cited by 56

Nonsingular subsampling for regression S estimators with categorical predictors

Koller, M., & Stahel, W. A. (2017) · Computational Statistics · doi:10.1007/s00180-016-0679-x · Cited by 59

Research Review: The strength of the genetic overlap between ADHD and other psychiatric symptoms – a systematic review and meta‐analysis

Andersson, A., Tuvblad, C., Chen, Q., Du Rietz, E., Cortese, S., Kuja‐Halkola, R., & Larsson, H. (2020) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13233 · Cited by 56

Microbiota succession during aerobic stability of maize silage inoculated with Lentilactobacillus buchneri NCIMB 40788 and Lentilactobacillus hilgardii CNCM‐I‐4785

Drouin, P., Tremblay, J., Renaud, J., & Apper, E. (2021) · MicrobiologyOpen · doi:10.1002/mbo3.1153 · Cited by 60

Reciprocity and trades in wild West African chimpanzees

Gomes, C. M., & Boesch, C. (2011) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-011-1227-x · Cited by 59

Effects of variation in cheese composition and maturation on water activity in Cheddar cheese during ripening

Hickey, D. K., Guinee, T. P., Hou, J., & Wilkinson, M. G. (2013) · International Dairy Journal · doi:10.1016/j.idairyj.2012.11.006 · Cited by 59

Is early activity resumption after paediatric concussion safe and does it reduce symptom burden at 2 weeks post injury? The Pediatric Concussion Assessment of Rest and Exertion (PedCARE) multicentre randomised clinical trial

Ledoux, A.-A., Barrowman, N., Bijelić, V., Borghese, M. M., Davis, A., Reid, S., Sangha, G., Yeates, K. O., Tremblay, M. S., McGahern, C., et al. (2022) · British Journal of Sports Medicine · doi:10.1136/bjsports-2021-105030 · Cited by 59

Racial Differences in the Association Between Apolipoprotein E Risk Alleles and Overall and Total Cardiovascular Mortality Over 18 Years

Rajan, K. B., Barnes, L. L., Wilson, R. S., McAninch, E. A., Weuve, J., Sighoko, D., & Evans, D. A. (2017) · Journal of the American Geriatrics Society · doi:10.1111/jgs.15059 · Cited by 59

Assessing Inhibitory Control Deficits in Adult ADHD: A Systematic Review and Meta-analysis of the Stop-signal Task

Senkowski, D., Ziegler, T., Singh, M., Heinz, A., He, J., Silk, T., & Lorenz, R. C. (2024) · Neuropsychology Review · doi:10.1007/s11065-023-09592-5 · Cited by 59

Food addiction, in obese patients seeking bariatric surgery, is associated with higher prevalence of current mood and anxiety disorders and past mood disorders

Benzerouk, F., Gierski, F., Ducluzeau, P.-H., Bourbao-Tournois, C., Gaubil-Kaladjian, I., Bertin, É., Kaladjian, A., Ballon, N., & Brunault, P. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2018.05.087 · Cited by 59

Can You Play with Fire and Not Hurt Yourself? A Comparative Study in Figurative Language Comprehension between Individuals with and without Autism Spectrum Disorder

Chahboun, S., Vulchanov, V., Saldaña, D., Eshuis, H., & Vulchanova, M. (2016) · PLOS ONE · doi:10.1371/journal.pone.0168571 · Cited by 59

Down-regulation of programmed cell death 4 (PDCD4) is associated with aromatase inhibitor resistance and a poor prognosis in estrogen receptor-positive breast cancer

Chen, Z., Yuan, Y.-C., Wang, Y., Liu, Z., Chan, H. J., & Chen, S. (2015) · Breast Cancer Research and Treatment · doi:10.1007/s10549-015-3446-8 · Cited by 59

Ets-1 regulates energy metabolism in cancer cells

Verschoor, M. L., Wilson, L. A., Verschoor, C. P., & Singh, G. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013565 · Cited by 59

Why do males emerge before females? Sexual size dimorphism drives sexual bimaturism in insects

Teder, T., Kaasik, A., Taits, K., & Tammaru, T. (2021) · Biological Reviews · doi:10.1111/brv.12762 · Cited by 59

Using Machine Learning-Based Multianalyte Delta Checks to Detect Wrong Blood in Tube Errors

Rosenbaum, M. W., & Baron, J. M. (2018) · American Journal of Clinical Pathology · doi:10.1093/ajcp/aqy085 · Cited by 58

Localizing syntactic predictions using recurrent neural network grammars

Brennan, J. R., Dyer, C., Kuncoro, A., & Hale, J. T. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107479 · Cited by 58

Assessing Arboreal Adaptations of Bird Antecedents: Testing the Ecological Setting of the Origin of the Avian Flight Stroke

Dececchi, T. A., & Larsson, H. C. E. (2011) · PLoS ONE · doi:10.1371/journal.pone.0022292 · Cited by 56

Impact of health service interventions on acute hospital use in community-dwelling persons with dementia: a systematic literature review and meta-analysis

Godard-Sebillotte, C., Le Berre, M., Schuster, T., Trottier, M., & Vedel, I. (2019) · PLOS ONE · doi:10.1371/journal.pone.0218426 · Cited by 50

Predictors of hypomania during ventral capsule/ventral striatum deep brain stimulation

Widge, A. S., Licon, E., Zorowitz, S., Corse, A., Arulpragasam, A. R., Camprodon, J. A., Cusin, C., Eskandar, E. N., Deckersbach, T., & Dougherty, D. D. (2016) · The Journal of Neuropsychiatry and Clinical Neurosciences · doi:10.1176/appi.neuropsych.15040089 · Cited by 58

Evidence for a gastrointestinal-renal kaliuretic signaling axis in humans

Preston, R. A., Afshartous, D., Rodco, R., Alonso, A. B., & Garg, D. (2015) · Kidney International · doi:10.1038/ki.2015.243 · Cited by 57

Large size (>100‐μm) microplastics are not biomagnifying in coastal marine food webs of British Columbia, Canada

Covernton, G. A., Cox, K. D., Fleming, W. L., Buirs, B. M., Davies, H. L., Juanes, F., Dudas, S. E., & Dower, J. F. (2022) · Ecological Applications · doi:10.1002/eap.2654 · Cited by 61

Nonatopic eczema in elderly women: Effect of air pollution and genes

Hüls, A., Abramson, M. J., Sugiri, D., Fuks, K., Krämer, U., Krutmann, J., & Schikowski, T. (2019) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2018.09.031 · Cited by 58

Heat and emergency room admissions in the Netherlands

van Loenhout, J. A. F., Delbiso, T. D., Kiriliouk, A., Rodriguez-Llanes, J. M., Segers, J., & Guha-Sapir, D. (2018) · BMC Public Health · doi:10.1186/s12889-017-5021-1 · Cited by 58

High-fat high-sugar diet induces polycystic ovary syndrome in a rodent model†

Roberts, J. S., Perets, R. A., Sarfert, K. S., Bowman, J. J., Ozark, P. A., Whitworth, G. B., Blythe, S. N., & Toporikova, N. (2017) · Biology of Reproduction · doi:10.1095/biolreprod.116.142786 · Cited by 58

TLR8 escapes X chromosome inactivation in human monocytes and CD4+ T cells

Youness, A., Cenac, C., Faz-López, B., Grunenwald, S., Barrat, F. J., Chaumeil, J., Mejía, J. E., & Guéry, J.-C. (2023) · Biology of Sex Differences · doi:10.1186/s13293-023-00544-5 · Cited by 58

Ecology of the ocean sunfish, Mola mola, in the southern California Current system

Thys, T. M., Ryan, J. P., Dewar, H., Perle, C. R., Lyons, K., O'Sullivan, J., Farwell, C., Howard, M. J., Weng, K. C., Lavaniegos, B. E., et al. (2015) · Journal of Experimental Marine Biology and Ecology · doi:10.1016/j.jembe.2015.05.005 · Cited by 58

Public knowledge about dementia in Germany—results of a population survey

Lüdecke, D., von dem Knesebeck, O., & Kofahl, C. (2016) · International Journal of Public Health · doi:10.1007/s00038-015-0703-x · Cited by 58

Motor simulation beyond the dyad: Automatic imitation of multiple actors.

Cracco, E., De Coster, L., Andres, M., & Brass, M. (2015) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/a0039737 · Cited by 58

Unexpected complexity of the ammonia monooxygenase in archaea

(2023) · doi:10.1038/s41396-023-01367-3 · Cited by 58

Yield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning

Kick, D. R., Wallace, J. G., Schnable, J. C., Kolkman, J. M., Alaca, B., Beissinger, T. M., Edwards, J., Ertl, D., Flint-Garcia, S., Gage, J. L., et al. (2023) · G3: Genes|Genomes|Genetics · doi:10.1093/g3journal/jkad006 · Cited by 53

Integrated cognitive behavioral therapy for comorbid cannabis use and anxiety disorders: A pilot randomized controlled trial

Buckner, J. D., Zvolensky, M. J., Ecker, A. H., Schmidt, N. B., Lewis, E. M., Paulus, D. J., Lopez-Gamundi, P., Crapanzano, K. A., & Bakhshaie, J. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2018.10.014 · Cited by 55

Serotonergic neuron regulation informed by in vivo single‐cell transcriptomics

Spaethling, J. M., Piel, D., Dueck, H., Buckley, P. T., Morris, J. F., Fisher, S. A., Lee, J., Sul, J., Kim, J., Bartfai, T., et al. (2014) · The FASEB Journal · doi:10.1096/fj.13-240267 · Cited by 57

Differential and Converging Molecular Mechanisms of Antidepressants’ Action in the Hippocampal Dentate Gyrus

Patrício, P., Mateus-Pinheiro, A., Irmler, M., Alves, N. D., Machado-Santos, A. R., Morais, M., Correia, J. S., Korostynski, M., Piechota, M., Stoffel, R., et al. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2014.176 · Cited by 57

A review of small-molecule inhibitors of one-carbon enzymes: SHMT2 and MTHFD2 in the spotlight

Cuthbertson, C. R., Arabzada, Z., Bankhead, A., Kyani, A., & Neamati, N. (2021) · ACS Pharmacology & Translational Science · doi:10.1021/acsptsci.0c00223 · Cited by 57

The relationship between psychological inflexibility and well-being in adults: a meta-analysis of the acceptance and action questionnaire

Ong, C. W., Barthel, A. L., & Hofmann, S. G. (2024) · Behavior Therapy · doi:10.1016/j.beth.2023.05.007 · Cited by 61

The effectiveness of psychosocial interventions in war-traumatized refugee and internally displaced minors: systematic review and meta-analysis

Nocon, A., Eberle-Sejari, R., Unterhitzenberger, J., & Rosner, R. (2017) · European Journal of Psychotraumatology · doi:10.1080/20008198.2017.1388709 · Cited by 57

Optimizing the Use of Carbonate Standards to Minimize Uncertainties in Clumped Isotope Data

Kocken, I. J., Müller, I. A., & Ziegler, M. (2019) · Geochemistry, Geophysics, Geosystems · doi:10.1029/2019gc008545 · Cited by 57

Gabapentin Versus Tricyclic Antidepressants for Diabetic Neuropathy and Post-Herpetic Neuralgia: Discrepancies Between Direct and Indirect Meta-Analyses of Randomized Controlled Trials

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