R: A Language and Environment for Statistical Computing

Soil management shapes ecosystem service provision and trade-offs in agricultural landscapes

Tamburini, G., De Simone, S., Sigura, M., Boscutti, F., & Marini, L. (2016) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2016.1369 · Cited by 65

ClockstaR: choosing the number of relaxed-clock models in molecular phylogenetic analysis

Duchêne, S., Molak, M., & Ho, S. Y. W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt665 · Cited by 61

Can plant phenolic compounds reduce Fusarium growth and mycotoxin production in cereals?

Schöneberg, T., Kibler, K., Sulyok, M., Musa, T., Bucheli, T. D., Mascher, F., Bertossa, M., Voegele, R. T., & Vogelgsang, S. (2018) · Food Additives & Contaminants: Part A · doi:10.1080/19440049.2018.1538570 · Cited by 67

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

Adolescent drinking and brain morphometry: A co-twin control analysis

Wilson, S., Malone, S. M., Thomas, K. M., & Iacono, W. G. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.07.005 · Cited by 64

Ensemble learning of inverse probability weights for marginal structural modeling in large observational datasets

Gruber, S., Logan, R. W., Jarrín, I., Monge, S., & Hernán, M. A. (2015) · Statistics in Medicine · doi:10.1002/sim.6322 · Cited by 64

Effect of an internet- and app-based stress intervention compared to online psychoeducation in university students with depressive symptoms: Results of a randomized controlled trial

Harrer, M., Apolinário-Hagen, J., Fritsche, L., Salewski, C., Zarski, A.-C., Lehr, D., Baumeister, H., Cuijpers, P., & Ebert, D. D. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100374 · Cited by 63

Effects of concurrent strength and endurance training on measures of physical fitness in healthy middle-aged and older adults: A systematic review with meta-analysis.

Markov, A., Hauser, L., & Chaabene, H. (2023) · Sports Medicine · doi:10.1007/s40279-022-01764-2 · Cited by 66

New Caledonian crows plan for specific future tool use

Boeckle, M., Schiestl, M., Frohnwieser, A., Gruber, R., Miller, R., Suddendorf, T., Gray, R. D., Taylor, A. H., & Clayton, N. S. (2020) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2020.1490 · Cited by 66

Prediction of cadmium concentration in selected home-produced vegetables

Bešter, P. K., Lobnik, F., Eržen, I., Kastelec, D., & Zupan, M. (2013) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2013.06.011 · Cited by 65

Acceptability and feasibility of wearing activity monitors in community-dwelling older adults with dementia

Farina, N., Sherlock, G., Thomas, S., Lowry, R. G., & Banerjee, S. (2019) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5064 · Cited by 65

Computational modeling of tau pathology spread reveals patterns of regional vulnerability and the impact of a genetic risk factor

Cornblath, E. J., Li, H. L., Changolkar, L., Zhang, B., Brown, H. J., Gathagan, R. J., Olufemi, M. F., Trojanowski, J. Q., Bassett, D. S., Lee, V. M. Y., et al. (2021) · Science Advances · doi:10.1126/sciadv.abg6677 · Cited by 66

ThalPred: a web-based prediction tool for discriminating thalassemia trait and iron deficiency anemia

Laengsri, V., Shoombuatong, W., Adirojananon, W., Nantasenamat, C., Prachayasittikul, V., & Nuchnoi, P. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0929-2 · Cited by 66

Protein biomarkers for the prediction of cardiovascular disease in type 2 diabetes

on behalf of the SUMMIT Investigators, Looker, H. C., Colombo, M., Agakov, F., Zeller, T., Groop, L., Thorand, B., Palmer, C. N., Hamsten, A., de Faire, U., et al. (2015) · Diabetologia · doi:10.1007/s00125-015-3535-6 · Cited by 66

Dynamic repression by BCL6 controls the genome-wide liver response to fasting and steatosis

Sommars, M. A., Ramachandran, K., Senagolage, M. D., Futtner, C. R., Germain, D. M., Allred, A. L., Omura, Y., Bederman, I. R., & Barish, G. D. (2019) · eLife · doi:10.7554/elife.43922 · Cited by 66

Genetic diversity and the emergence of ethnic groups in Central Asia

Heyer, E., Balaresque, P., Jobling, M. A., Quintana-Murci, L., Chaix, R., Segurel, L., Aldashev, A., & Hegay, T. (2009) · BMC Genetics · doi:10.1186/1471-2156-10-49 · Cited by 66

Biological annotation of genetic loci associated with intelligence in a meta-analysis of 87,740 individuals

Coleman, J. R. I., Bryois, J., Gaspar, H. A., Jansen, P. R., Savage, J. E., Skene, N., Plomin, R., Muñoz-Manchado, A. B., Linnarsson, S., Crawford, G., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0040-6 · Cited by 66

Ponds as insect chimneys: Restoring overgrown farmland ponds benefits birds through elevated productivity of emerging aquatic insects

Lewis-Phillips, J., Brooks, S. J., Sayer, C. D., Patmore, I. R., Hilton, G. M., Harrison, A., Robson, H., & Axmacher, J. C. (2020) · Biological Conservation · doi:10.1016/j.biocon.2019.108253 · Cited by 66

A theoretical and real world evaluation of two Bayesian techniques for the calibration of variety parameters in a sugarcane crop model

Sexton, J., Everingham, Y., & Inman-Bamber, G. (2016) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2016.05.014 · Cited by 61

Ecosystem multifunctionality in metacommunities

Thompson, P. L., & Gonzalez, A. (2016) · Ecology · doi:10.1002/ecy.1502 · Cited by 64

The Ol1mpiad: concordance of behavioural faculties of stage 1 and stage 3 Drosophila larvae

Almeida-Carvalho, M. J., Berh, D., Braun, A., Chen, Y.-C., Eichler, K., Eschbach, C., Fritsch, P. M. J., Gerber, B., Hoyer, N., Jiang, X., et al. (2017) · Journal of Experimental Biology · doi:10.1242/jeb.156646 · Cited by 51

Oxyntomodulin and Glicentin May Predict the Effect of Bariatric Surgery on Food Preferences and Weight Loss

Nielsen, M. S., Ritz, C., Wewer Albrechtsen, N. J., Holst, J. J., le Roux, C. W., & Sjödin, A. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa061 · Cited by 65

Distributing mathematical practice of third and seventh graders:Applicability of the spacing effect in the classroom

Barzagar Nazari, K., & Ebersbach, M. (2019) · Applied Cognitive Psychology · doi:10.1002/acp.3485 · Cited by 54

Calibrating random forests for probability estimation

Dankowski, T., & Ziegler, A. (2016) · Statistics in Medicine · doi:10.1002/sim.6959 · Cited by 65

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

Laparoscopic sleeve gastrectomy and Roux-en-Y gastric bypass lead to equal changes in body composition and energy metabolism 17 months postoperatively: a prospective randomized trial

Schneider, J., Peterli, R., Gass, M., Slawik, M., Peters, T., & Wölnerhanssen, B. K. (2016) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2015.07.002 · Cited by 65

Multiple dimensions of dietary diversity in large mammalian herbivores

Kartzinel, T. R., & Pringle, R. M. (2020) · Journal of Animal Ecology · doi:10.1111/1365-2656.13206 · Cited by 63

Adolescent cognitive control, theta oscillations, and social observation

Buzzell, G. A., Barker, T. V., Troller-Renfree, S. V., Bernat, E. M., Bowers, M. E., Morales, S., Bowman, L. C., Henderson, H. A., Pine, D. S., & Fox, N. A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.04.077 · Cited by 65

High intake of regular-fat cheese compared with reduced-fat cheese does not affect LDL cholesterol or risk markers of the metabolic syndrome: a randomized controlled trial

Raziani, F., Tholstrup, T., Kristensen, M. D., Svanegaard, M. L., Ritz, C., Astrup, A., & Raben, A. (2016) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.134932 · Cited by 66

Biochar vs. clay: Comparison of their effects on nutrient retention of a tropical Arenosol

Beusch, C., Cierjacks, A., Böhm, J., Mertens, J., Bischoff, W.-A., de Araújo Filho, J. C., & Kaupenjohann, M. (2019) · Geoderma · doi:10.1016/j.geoderma.2018.09.043 · Cited by 65

Pain tolerance predicts human social network size

Johnson, K. V.-A., & Dunbar, R. I. M. (2016) · Scientific Reports · doi:10.1038/srep25267 · Cited by 65

General Self-Efficacy as a Driving Factor of Post-Stroke Depression: A Longitudinal Study

Volz, M., Voelkle, M. C., & Werheid, K. (2019) · Neuropsychological Rehabilitation · doi:10.1080/09602011.2017.1418392 · Cited by 65

Technology-Facilitated Sexual Violence Perpetration and Victimization Among Adolescents: A Network Analysis

Gámez-Guadix, M., Sorrel, M. A., & Martínez-Bacaicoa, J. (2023) · Sexuality Research and Social Policy · doi:10.1007/s13178-022-00775-y · Cited by 65

Uncertainty Assessment of Hyperspectral Image Classification: Deep Learning vs. Random Forest

Shadman Roodposhti, M., Aryal, J., Lucieer, A., & Bryan, B. A. (2019) · Entropy · doi:10.3390/e21010078 · Cited by 65

Mixture model analysis identifies irritable bowel syndrome subgroups characterised by specific profiles of gastrointestinal, extraintestinal somatic and psychological symptoms

Polster, A., Van Oudenhove, L., Jones, M., Öhman, L., Törnblom, H., & Simrén, M. (2017) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.14207 · Cited by 65

Detecting the Immune System Response of a 500 Year-Old Inca Mummy

Corthals, A., Koller, A., Martin, D. W., Rieger, R., Chen, E. I., Bernaski, M., Recagno, G., & Dávalos, L. M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041244 · Cited by 65

Simultaneous gene finding in multiple genomes

König, S., Romoth, L. W., Gerischer, L., & Stanke, M. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw494 · Cited by 65

Predicting marine phytoplankton community size structure from empirical relationships with remotely sensed variables

Barnes, C., Irigoien, X., De Oliveira, J. A. A., Maxwell, D., & Jennings, S. (2011) · Journal of Plankton Research · doi:10.1093/plankt/fbq088 · Cited by 65

Why species delimitation matters for fungal ecology: Colletotrichum diversity on wild and cultivated cashew in Brazil

Veloso, J. S., Câmara, M. P. S., Lima, W. G., Michereff, S. J., & Doyle, V. P. (2018) · Fungal Biology · doi:10.1016/j.funbio.2018.03.005 · Cited by 65

Spent Grape Pomace as a Still Potential By-Product

Bordiga, M., Travaglia, F., Locatelli, M., Arlorio, M., & Coïsson, J. D. (2015) · International Journal of Food Science & Technology · doi:10.1111/ijfs.12853 · Cited by 64

Left, right or both? Estimating and improving accuracy of one-side-only geometric morphometric analyses of cranial variation

Cardini, A. (2017) · Journal of Zoological Systematics and Evolutionary Research · doi:10.1111/jzs.12144 · Cited by 64

Effects of a Five-Year Citywide Intervention Program To Control Aedes aegypti and Prevent Dengue Outbreaks in Northern Argentina

Gürtler, R. E., Garelli, F. M., & Coto, H. D. (2009) · PLoS Neglected Tropical Diseases · doi:10.1371/journal.pntd.0000427 · Cited by 64

Continuous free cortisol profiles-circadian rhythms in healthy men

Bhake, R. C., Kluckner, V, Stassen, H., Russell, G. M., Leendertz, J., Stevens, K., Linthorst, A. C. E., & Lightman, S. L. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2019-00449 · Cited by 64

Poor sleep quality and compromised visual working memory capacity

Xie, W., Berry, A., Lustig, C., Deldin, P., & Zhang, W. (2019) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617719000183 · Cited by 62

Addiction or transgression? Moral incongruence and self-reported problematic pornography use in a nationally representative sample

Grubbs, J. B., Lee, B. N., Hoagland, K. C., Kraus, S. W., & Perry, S. L. (2020) · Clinical Psychological Science · doi:10.1177/2167702620922966 · Cited by 63

Key determinants of target DNA recognition by retroviral intasomes

Serrao, E., Ballandras-Colas, A., Cherepanov, P., Maertens, G. N., & Engelman, A. N. (2015) · Retrovirology · doi:10.1186/s12977-015-0167-3 · Cited by 62

Fingerprinting Heatwaves and Cold Spells and Assessing Their Response to Climate Change Using Large Deviation Theory

Galfi, V. M., & Lucarini, V. (2021) · Physical Review Letters · doi:10.1103/physrevlett.127.058701 · Cited by 62

Brain high-throughput multi-omics data reveal molecular heterogeneity in Alzheimer’s disease

Eteleeb, A. M., Novotny, B. C., Tarraga, C. S., Sohn, C., Dhungel, E., Brase, L., Nallapu, A., Buss, J., Farias, F., Bergmann, K., et al. (2024) · PLOS Biology · doi:10.1371/journal.pbio.3002607 · Cited by 64

Sexually dimorphic vasopressin cells modulate social investigation and communication in sex-specific ways

Rigney, N., Whylings, J., Mieda, M., de Vries, G. J., & Petrulis, A. (2019) · eNeuro · doi:10.1523/eneuro.0415-18.2019 · Cited by 63

Specific default mode subnetworks support mentalizing as revealed through opposing network recruitment by social and semantic FMRI tasks: Mentalizing and Default-Mode Subnetworks

Hyatt, C. J., Calhoun, V. D., Pearlson, G. D., & Assaf, M. (2015) · Human Brain Mapping · doi:10.1002/hbm.22827 · Cited by 65

“A sentiment analysis model to analyze students reviews of teacher performance using support vector machines,”

Esparza, G. G., de-Luna, A., Zezzatti, A. O., Hernandez, A., Ponce, J., Álvarez, M., Cossio, E., & de Jesus Nava, J. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-62410-5_19 · Cited by 65

The stress kinase GCN2 does not mediate suppression of antitumor T cell responses by tryptophan catabolism in experimental melanomas

Sonner, J. K., Deumelandt, K., Ott, M., Thomé, C. M., Rauschenbach, K. J., Schulz, S., Munteanu, B., Mohapatra, S., Adam, I., Hofer, A.-C., et al. (2016) · OncoImmunology · doi:10.1080/2162402x.2016.1240858 · Cited by 64

Mean diffusivity in cortical gray matter in Alzheimer's disease: The importance of partial volume correction

Henf, J., Grothe, M. J., Brueggen, K., Teipel, S., & Dyrba, M. (2018) · NeuroImage: Clinical · doi:10.1016/j.nicl.2017.10.005 · Cited by 64

A simplified diphenylamine colorimetric method for growth quantification

Zhao, Y., Xiang, S., Dai, X., & Yang, K. (2013) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-013-4893-y · Cited by 64

How shattered flakes were used: Micro-wear analysis of quartz flake fragments

Knutsson, H., Knutsson, K., Taipale, N., Tallavaara, M., & Darmark, K. (2015) · Journal of Archaeological Science: Reports · doi:10.1016/j.jasrep.2015.04.008 · Cited by 64

Interchange between flooding and drying, and spatial connectivity control the fish metacommunity structure in lakes of the Pantanal wetland

Penha, J., Landeiro, V. L., Ortega, J. C. G., & Mateus, L. (2017) · Hydrobiologia · doi:10.1007/s10750-017-3164-9 · Cited by 64

Life in 3-D: life history strategies in tunas, mackerels and bonitos

Juan-Jordá, M. J., Mosqueira, I., Freire, J., & Dulvy, N. K. (2013) · Reviews in Fish Biology and Fisheries · doi:10.1007/s11160-012-9284-4 · Cited by 64

Indirect evidence for the genetic determination of short stature in African Pygmies

Becker, N. S. A., Verdu, P., Froment, A., Le Bomin, S., Pagezy, H., Bahuchet, S., & Heyer, E. (2011) · American Journal of Physical Anthropology · doi:10.1002/ajpa.21512 · Cited by 64

Racial Disparities in Police Use of Deadly Force Against Unarmed Individuals Persist After Appropriately Benchmarking Shooting Data on Violent Crime Rates

Ross, C. T., Winterhalder, B., & McElreath, R. (2021) · Social Psychological and Personality Science · doi:10.1177/1948550620916071 · Cited by 61

Use of an interactive computer agent to support breastfeeding

Edwards, R. A., Bickmore, T., Jenkins, L., Foley, M., & Manjourides, J. (2013) · Maternal and Child Health Journal · doi:10.1007/s10995-013-1222-0 · Cited by 63

Association of high dietary saturated fat intake and uncontrolled diabetes with constipation: evidence from the National Health and Nutrition Examination Survey

Taba Taba Vakili, S., Nezami, B. G., Shetty, A., Chetty, V. K., & Srinivasan, S. (2015) · Neurogastroenterology & Motility · doi:10.1111/nmo.12630 · Cited by 63

Longitudinal Autonomic Nervous System Measures Correlate With Stress and Ulcerative Colitis Disease Activity and Predict Flare

Hirten, R. P., Danieletto, M., Scheel, R., Shervey, M., Ji, J., Hu, L., Sauk, J., Chang, L., Arnrich, B., Bӧttinger, E., et al. (2021) · Inflammatory Bowel Diseases · doi:10.1093/ibd/izaa323 · Cited by 60

Reference Ranges for Bone Mineral Density and Prevalence of Osteoporosis in Vietnamese Men and Women

Ho-Pham, L. T., T Nguyen, U. D., Pham, H. N., Nguyen, N. D., & Nguyen, T. V. (2011) · BMC Musculoskeletal Disorders · doi:10.1186/1471-2474-12-182 · Cited by 63

diskImageR: quantification of resistance and tolerance to antimicrobial drugs using disk diffusion assays

Gerstein, A. C., Rosenberg, A., Hecht, I., & Berman, J. (2016) · Microbiology · doi:10.1099/mic.0.000295 · Cited by 63

Theoretical calibration of the triple oxygen isotope thermometer

Hayles, J., Gao, C., Cao, X., Liu, Y., & Bao, H. (2018) · Geochimica et Cosmochimica Acta · doi:10.1016/j.gca.2018.05.032 · Cited by 61

A Second-Generation (44-Channel) Suprachoroidal Retinal Prosthesis: Interim Clinical Trial Results

Petoe, M. A., Titchener, S. A., Kolic, M., Kentler, W. G., Abbott, C. J., Nayagam, D. A. X., Baglin, E. K., Kvansakul, J., Barnes, N., Walker, J. G., et al. (2021) · Translational Vision Science & Technology · doi:10.1167/tvst.10.10.12 · Cited by 63

A comparison of the accuracy of clinical decisions based on full-text articles and on journal abstracts alone: a study among residents in a tertiary care hospital

Marcelo, A., Gavino, A., Isip-Tan, I. T., Apostol-Nicodemus, L., Mesa-Gaerlan, F. J., Firaza, P. N., Faustorilla, J. F., Callaghan, F. M., & Fontelo, P. (2013) · Evidence Based Medicine · doi:10.1136/eb-2012-100537 · Cited by 63

Risk and timing of cardiovascular death among patients with myelodysplastic syndromes

Brunner, A. M., Blonquist, T. M., Hobbs, G. S., Amrein, P. C., Neuberg, D. S., Steensma, D. P., Abel, G. A., & Fathi, A. T. (2017) · Blood Advances · doi:10.1182/bloodadvances.2017010165 · Cited by 63

Genomic relationships across psychiatric disorders including substance use disorders

Abdellaoui, A., Smit, D. J. A., van den Brink, W., Denys, D., & Verweij, K. J. H. (2021) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2021.108535 · Cited by 61

Police stops to reduce crime: A systematic review and meta-analysis

Petersen, K., Weisburd, D., Fay, S., Eggins, E., & Mazerolle, L. (2023) · Campbell Systematic Reviews: Better Evidence for a Better World · doi:10.1002/cl2.1302 · Cited by 63

Predicting therapist effectiveness from their own practice-based evidence.

Kraus, D. R., Bentley, J. H., Alexander, P. C., Boswell, J. F., Constantino, M. J., Baxter, E. E., & Castonguay, L. G. (2016) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000083 · Cited by 63

The impact of alcohol among injury patients in Moshi, Tanzania: a nested case-crossover study

Staton, C. A., Vissoci, J. R. N., Toomey, N., Abdelgadir, J., Chou, P., Haglund, M., Mmbaga, B. T., Mvungi, M., & Swahn, M. (2018) · BMC Public Health · doi:10.1186/s12889-018-5144-z · Cited by 63

The Student Expectations of Learning Analytics Questionnaire

Whitelock‐Wainwright, A., Gašević, D., Tejeiro, R., Tsai, Y., & Bennett, K. (2019) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12366 · Cited by 63

Scaling of mechanical power output during burst escape flight in the Corvidae

Jackson, B. E., & Dial, K. P. (2011) · Journal of Experimental Biology · doi:10.1242/jeb.046789 · Cited by 63

Relationship reciprocation modulates resource allocation in adolescent social networks: Developmental effects

Burnett Heyes, S., Jih, Y.-R., Block, P., Hiu, C.-F., Holmes, E. A., & Lau, J. Y. F. (2015) · Child Development · doi:10.1111/cdev.12396 · Cited by 62

Disorders of balance and gait in essential tremor are associated with midline tremor and age

Hoskovcová, M., Ulmanová, O., Šprdlík, O., Sieger, T., Nováková, J., Jech, R., & Růžička, E. (2013) · The Cerebellum · doi:10.1007/s12311-012-0384-4 · Cited by 62

The Analytical Possibilities of FT-IR Spectroscopy Powered by Vibrating Molecules

Koczoń, P., Hołaj-Krzak, J. T., Palani, B. K., Bolewski, T., Dąbrowski, J., Bartyzel, B. J., & Gruczyńska-Sękowska, E. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24021013 · Cited by 62

Withdrawal and tolerance as related to compulsive sexual behavior disorder and problematic pornography use—preregistered study based on a nationally representative sample in Poland

Lewczuk, K., Wizła, M., Glica, A., Potenza, M. N., Lew-Starowicz, M., & Kraus, S. W. (2022) · Journal of Behavioral Addictions · doi:10.1556/2006.2022.00076 · Cited by 62

Variation in red fox Vulpes vulpes diet in five continents

Castañeda, I., Doherty, T. S., Fleming, P. A., Stobo‐Wilson, A. M., Woinarski, J. C. Z., & Newsome, T. M. (2022) · Mammal Review · doi:10.1111/mam.12292 · Cited by 59

World Energy Outlook

(2009) · doi:10.1787/20725302 · Cited by 62

Responses of three tropical seagrass species to CO2 enrichment

Ow, Y. X., Collier, C. J., & Uthicke, S. (2015) · Marine Biology · doi:10.1007/s00227-015-2644-6 · Cited by 62

Addressing Healthcare Professional Burnout: A Quality Improvement Intervention

Green, S., Markaki, A., Baird, J., Murray, P., & Edwards, R. (2020) · Worldviews on Evidence-Based Nursing · doi:10.1111/wvn.12450 · Cited by 55

A stochastic step model of replicative senescence explains ROS production rate in ageing cell populations

Lawless, C., Jurk, D., Gillespie, C. S., Shanley, D., Saretzki, G., von Zglinicki, T., & Passos, J. F. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032117 · Cited by 62

Isolating the delay component of impulsive choice in adolescent rats

McClure, J., Podos, J., & Richardson, H. N. (2014) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2014.00003 · Cited by 62

Evolution of ecological dominance of yeast species in high-sugar environments

Williams, K. M., Liu, P., & Fay, J. C. (2015) · Evolution · doi:10.1111/evo.12707 · Cited by 59

The influence of personality traits on occupant behavioural patterns

Schweiker, M., Hawighorst, M., & Wagner, A. (2016) · Energy and Buildings · doi:10.1016/j.enbuild.2016.09.019 · Cited by 63

Differences and Similarities in the Use of Nine Emotion Regulation Strategies in Western and East-Asian Cultures: Systematic Review and Meta-Analysis

Song, H., Chan, J. S., & Ryan, C. (2024) · Journal of Cross-Cultural Psychology · doi:10.1177/00220221241285006 · Cited by 62

Prevalence of harm in mindfulness-based stress reduction

Hirshberg, M. J., Goldberg, S. B., Rosenkranz, M., & Davidson, R. J. (2022) · Psychological Medicine · doi:10.1017/s0033291720002834 · Cited by 62

Arketamine as adjunctive therapy for treatment-resistant depression: A placebo-controlled pilot study

Leal, G. C., Souza-Marques, B., Mello, R. P., Bandeira, I. D., Caliman-Fontes, A. T., Carneiro, B. A., Faria-Guimarães, D., Guerreiro-Costa, L. N. F., Jesus-Nunes, A. P., Silva, S. S., et al. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.02.151 · Cited by 62

Effect of exercise augmentation of cognitive behavioural therapy for the treatment of suicidal ideation and depression

Abdollahi, A., LeBouthillier, D. M., Najafi, M., Asmundson, G. J. G., Hosseinian, S., Shahidi, S., Carlbring, P., Kalhori, A., Sadeghi, H., & Jalili, M. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.05.012 · Cited by 62

Exploring the reservoir of potential fungal plant pathogens in agricultural soil

Agtmaal, M. V., Straathof, A., Termorshuizen, A., Teurlincx, S., Hundscheid, M., Ruyters, S., Busschaert, P., Lievens, B., & Boer, W. D. (2017) · Applied Soil Ecology · doi:10.1016/j.apsoil.2017.09.032 · Cited by 62

Aboriginal artefacts on the continental shelf reveal ancient drowned cultural landscapes in northwest Australia

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