Most cited papers
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The tubulin code and its role in controlling microtubule properties and functions
Janke, C., & Magiera, M. M. (2020) · Nature Reviews Molecular Cell Biology
Microtubule and mitosis dynamicsGenetic and Kidney Cyst Diseases
Cited by 956
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Imaginary Relish and Exquisite Torture: The Elaborated Intrusion Theory of Desire.
Kavanagh, D. J., Andrade, J., & May, J. (2005) · Psychological Review
Behavioral Health and InterventionsNeurotransmitter Receptor Influence on Behavior
Cited by 956
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eD octor: machine learning and the future of medicine
Handelman, G. S., Kok, H. K., Chandra, R. V., Razavi, A. H., Lee, M. J., & Asadi, H. (2018) · Journal of Internal Medicine
Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare
Cited by 956
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What is embodiment? A psychometric approach
Longo, M. R., Schüür, F., Kammers, M. P. M., Tsakiris, M., & Haggard, P. (2008) · Cognition
Virtual Reality Applications and ImpactsFree Will and Agency
Cited by 956
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Physician response to surveys A review of the literature
Kellerman, S. (2001) · American Journal of Preventive Medicine
Survey Methodology and NonresponseSurvey Sampling and Estimation Techniques
Cited by 956
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How the Body Shapes the Way We Think: A New View of Intelligence
Pfeifer, R., & Bongard, J. (2006) · The MIT Press eBooks
Embodied and Extended CognitionPsychiatry, Mental Health, Neuroscience
Cited by 956
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Artificial intelligence, bias and clinical safety
Challen, R., Denny, J., Pitt, M., Gompels, L., Edwards, T., & Tsaneva-Atanasova, K. (2019) · BMJ Quality & Safety
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 956
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A meta-analysis of depression severity and cognitive function
McDermott, L. M., & Ebmeier, K. P. (2009) · Journal of Affective Disorders
Dementia and Cognitive Impairment ResearchAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Cited by 956
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Hostile attribution of intent and aggressive behavior: A meta-analysis
De Castro, B. O., Veerman, J. W., Koops, W., Bosch, J. D., & Monshouwer, H. J. (2002) · Child Development
Bullying, Victimization, and AggressionChild and Adolescent Psychosocial and Emotional Development
Cited by 956
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CNS lymphatic drainage and neuroinflammation are regulated by meningeal lymphatic vasculature.
Louveau, A., Herz, J., Alme, M. N., Salvador, A. F., Dong, M. Q., Viar, K. E., Herod, S. G., Knopp, J., Setliff, J. C., Lupi, A. L., et al. (2018) · Nature Neuroscience
Lymphatic System and DiseasesCerebrospinal fluid and hydrocephalus
Cited by 956
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HMGB1 in health and disease
Kang, R., Chen, R., Zhang, Q., Hou, W., Wu, S., Cao, L., Huang, J., Yu, Y., Fan, X.-G., Yan, Z., et al. (2014) · Molecular Aspects of Medicine
Advanced Glycation End Products researchImmune Response and Inflammation
Cited by 956
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Situation awareness global assessment technique (SAGAT)
Endsley, M. R. (2003) · Proceedings of the IEEE 1988 National Aerospace and Electronics Conference
Human-Automation Interaction and SafetyMilitary Strategy and Technology
Cited by 956
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Patient Medication Adherence: Measures in Daily Practice
Jimmy, B., & Jose, J. (2011) · Oman Medical Journal
Medication Adherence and CompliancePharmacy and Medical Practices
Cited by 956
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Lysosomal Glycosphingolipid Recognition by NKT Cells
Zhou, D., Mattner, J., Cantu, C., Schrantz, N., Yin, N., Gao, Y., Sagiv, Y., Hudspeth, K., Wu, Y.-P., Yamashita, T., et al. (2004) · Science
T-cell and B-cell ImmunologyGlycosylation and Glycoproteins Research
Cited by 956
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Neural network of cognitive emotion regulation—an ALE meta-analysis and MACM analysis
Kohn, N., Eickhoff, S. B., Scheller, M., Laird, A. R., Fox, P. T., & Habel, U. (2014) · NeuroImage
Neural and Behavioral Psychology StudiesNeurotransmitter Receptor Influence on Behavior
Cited by 956
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Regulation of endoplasmic reticulum turnover by selective autophagy
Khaminets, A., Heinrich, T., Mari, M., Grumati, P., Huebner, A. K., Akutsu, M., Liebmann, L., Stolz, A., Nietzsche, S., Koch, N., et al. (2015) · Nature
Autophagy in Disease and TherapyEndoplasmic Reticulum Stress and Disease
Cited by 956
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Pre-eclampsia part 1: current understanding of its pathophysiology
Chaiworapongsa, T., Chaemsaithong, P., Yeo, L., & Romero, R. (2014) · Nature Reviews Nephrology
Pregnancy and preeclampsia studiesNeurological Complications and Syndromes
Cited by 956
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Machine Learning for Molecular Simulation
Noé, F., Tkatchenko, A., Müller, K.-R., & Clementi, C. (2020) · Annual Review of Physical Chemistry
Machine Learning in Materials ScienceAdvanced Chemical Physics Studies
Cited by 956
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Dynamic molecular processes mediate cellular mechanotransduction
Hoffman, B. D., Grashoff, C., & Schwartz, M. A. (2011) · Nature
Cellular Mechanics and InteractionsForce Microscopy Techniques and Applications
Cited by 956
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Doing qualitative research
Crabtree, B. F., Miller, W. L., & Swenson, M. M. (1995) · Nursing Research
Qualitative Research Methods and ApplicationsQualitative Research Methods and Ethics
Cited by 956
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Artificial Intelligence trends in education: a narrative overview
Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018) · Procedia Computer Science
Artificial Intelligence in EducationEducational Technology and Pedagogy
Cited by 956
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EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention
Liu, X., Peng, H., Zheng, N., Yang, Y., Hu, H., & Yuan, Y. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 956
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Big Data: Issues and Challenges Moving Forward
Kaisler, S., Armour, F., Espinosa, J. A., & Money, W. (2013) · 2013 46th Hawaii International Conference on System Sciences
Big Data Technologies and ApplicationsCloud Computing and Resource Management
Cited by 956
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Service innovation in the digital age: Key contributions and future directions
Barrett, M., Davidson, E., Prabhu, J., & Vargo, S. L. (2015) · MIS Quarterly
Service and Product InnovationDigital Innovation in Industries
Cited by 956
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