Most cited papers
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Elucidating reaction mechanisms on quantum computers
Reiher, M., Wiebe, N., Svore, K. M., Wecker, D., & Troyer, M. (2017) · Proceedings of the National Academy of Sciences
Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies
Cited by 745
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Linking the influence and dependence of people on biodiversity across scales
Isbell, F., Gonzalez, A., Loreau, M., Cowles, J., Díaz, S., Hector, A., Mace, G. M., Wardle, D. A., O'Connor, M. I., Duffy, J. E., et al. (2017) · Nature
Land Use and Ecosystem ServicesConservation, Biodiversity, and Resource Management
Cited by 745
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Left inferior frontal gyrus is critical for response inhibition
Swick, D., Ashley, V., & Turken, A. U. (2008) · BMC Neuroscience
Neural and Behavioral Psychology StudiesHistorical and Modern Theater Studies
Cited by 745
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Nonalcoholic fatty liver disease as a nexus of metabolic and hepatic diseases
Samuel, V. T., & Shulman, G. I. (2018) · Cell Metabolism
Liver Disease Diagnosis and TreatmentDiet, Metabolism, and Disease
Cited by 745
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Maintaining internal representations: the role of the human superior parietal lobe
Wolpert, D. M., Goodbody, S. J., & Husain, M. (1998) · Nature Neuroscience
Motor Control and AdaptationTactile and Sensory Interactions
Cited by 745
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Governing artificial intelligence: ethical, legal and technical opportunities and challenges
Cath, C. (2018) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 745
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ZAP-70 Compared with Immunoglobulin Heavy-Chain Gene Mutation Status as a Predictor of Disease Progression in Chronic Lymphocytic Leukemia
Rassenti, L. Z., Huynh, L., Toy, T. L., Chen, L., Keating, M. J., Gribben, J. G., Neuberg, D. S., Flinn, I. W., Rai, K. R., Byrd, J. C., et al. (2004) · New England Journal of Medicine
Cited by 745
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VGLUTs define subsets of excitatory neurons and suggest novel roles for glutamate
Fremeau, R. T., Voglmaier, S., Seal, R. P., & Edwards, R. H. (2004) · Trends in Neurosciences
Neuroscience and Neuropharmacology ResearchCellular transport and secretion
Cited by 745
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Room-Temperature Bose–Einstein Condensation of Cavity Exciton–Polaritons in a Polymer
Plumhof, J. D., Stöferle, T., Mai, L., Scherf, U., & Mahrt, R. F. (2014) · Nature Materials
Strong Light-Matter InteractionsSemiconductor Quantum Structures and Devices
Cited by 745
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National Institutes of Health State of the Science Conference Statement
(2005) · Sleep
Sleep and related disordersObstructive Sleep Apnea Research
Cited by 745
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The Emergence of Organizations and Markets
Padgett, J. F., & Powell, W. W. (2012) · Princeton University Press eBooks
Economic Theory and InstitutionsManagement and Organizational Studies
Cited by 745
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Measuring the reaction of monetary policy to the stock market
Rigobon, R., & Sack, B. (2003) · The Quarterly Journal of Economics
Monetary Policy and Economic ImpactMarket Dynamics and Volatility
Cited by 745
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Substrate-specific activation of sirtuins by resveratrol
Kaeberlein, M., McDonagh, T., Heltweg, B., Hixon, J., Westman, E. A., Caldwell, S. D., Napper, A., Curtis, R., DiStefano, P. S., Fields, S., et al. (2005) · Journal of Biological Chemistry
Sirtuins and Resveratrol in MedicineGenetics, Aging, and Longevity in Model Organisms
Cited by 745
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Macrophage phenotype as a predictor of constructive remodeling following the implantation of biologically derived surgical mesh materials
Brown, B. N., Londono, R., Tottey, S., Zhang, L., Kukla, K. A., Wolf, M. T., Daly, K. A., Reing, J. E., & Badylak, S. F. (2012) · Acta Biomaterialia
Hernia repair and managementWound Healing and Treatments
Cited by 745
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Impacts of the Russia-Ukraine War on Global Food Security: Towards More Sustainable and Resilient Food Systems?
Ben Hassen, T., & El Bilali, H. (2022) · Foods
Environmental and Biological Research in Conflict ZonesEconomics of Agriculture and Food Markets
Cited by 745
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Psychological therapies for the management of chronic and recurrent pain in children and adolescents
Eccleston, C., Palermo, T. M., Williams, A. C. D. C., Lewandowski Holley, A., Morley, S., Fisher, E., & Law, E. (2014) · Cochrane Database of Systematic Reviews
Pediatric Pain Management TechniquesMusculoskeletal pain and rehabilitation
Cited by 745
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The neural correlates of attention deficit hyperactivity disorder: an ALE meta‐analysis
Dickstein, S. G., Bannon, K., Xavier Castellanos, F., & Milham, M. P. (2006) · Journal of Child Psychology and Psychiatry
Attention Deficit Hyperactivity DisorderNeural and Behavioral Psychology Studies
Cited by 745
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Cardiovascular disease risk in women with pre-eclampsia: systematic review and meta-analysis
Brown, M. C., Best, K. E., Pearce, M. S., Waugh, J., Robson, S. C., & Bell, R. (2013) · European Journal of Epidemiology
Pregnancy and preeclampsia studiesNeurological Complications and Syndromes
Cited by 745
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Green purchasing practices of US firms
Min, H., & Galle, W. P. (2001) · International Journal of Operations & Production Management
Sustainable Supply Chain ManagementEnvironmental Sustainability in Business
Cited by 745
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Small Talk
Bassler, B. L. (2002) · Cell
Bacterial biofilms and quorum sensingBacterial Genetics and Biotechnology
Cited by 745
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Simulation of Many-Body Fermi Systems on a Universal Quantum Computer
Abrams, D. S., & Lloyd, S. (1997) · Physical Review Letters
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 745
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Neuropathogenesis of Delirium: Review of Current Etiologic Theories and Common Pathways
Maldonado, J. R. (2013) · The American Journal of Geriatric Psychiatry
Intensive Care Unit Cognitive DisordersAlcoholism and Thiamine Deficiency
Cited by 745
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A Case-Management System for Coronary Risk Factor Modification after Acute Myocardial Infarction
DeBusk, R. F., Miller, N. H., Superko, H. R., Dennis, C. A., Thomas, R. J., Lew, H. T., Berger, W. E., Heller, R. S., Rompf, J., Gee, D., et al. (1994) · Annals of Internal Medicine
Cardiac Health and Mental HealthAcute Myocardial Infarction Research
Cited by 745
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The effect of generative artificial intelligence (AI)-based tool use on students' computational thinking skills, programming self-efficacy and motivation
Yilmaz, R., & Karaoglan Yilmaz, F. G. (2023) · Computers and Education: Artificial Intelligence
Teaching and Learning ProgrammingArtificial Intelligence in Education
Cited by 745
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