Most cited papers
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Prevalence and risk factors of cerebral microbleeds: The Rotterdam Scan Study
Vernooij, M. W., van der Lugt, A., Ikram, M. A., Wielopolski, P. A., Niessen, W. J., Hofman, A., Krestin, G. P., & Breteler, M. M. B. (2008) · Neurology
Intracerebral and Subarachnoid Hemorrhage ResearchCerebrovascular and genetic disorders
Cited by 793
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The Ca2+-induced membrane transition in mitochondria
Haworth, R. A., & Hunter, D. R. (1979) · Archives of Biochemistry and Biophysics
Mitochondrial Function and PathologyATP Synthase and ATPases Research
Cited by 793
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Pancreatic β-Cell Electrical Activity and Insulin Secretion: Of Mice and Men
Rorsman, P., & Ashcroft, F. M. (2018) · Physiological Reviews
Pancreatic function and diabetesIon channel regulation and function
Cited by 793
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Clinical Prediction Rules<subtitle>A Review and Suggested Modifications of Methodological Standards</subtitle>
Laupacis, A. (1997) · JAMA: The Journal of the American Medical Association
Clinical Reasoning and Diagnostic SkillsStatistical Methods in Epidemiology
Cited by 793
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Will changes in soil organic carbon act as a positive or negative feedback on global warming?
Kirschbaum, M. U. F. (2000) · Biogeochemistry
Soil Carbon and Nitrogen DynamicsClimate change and permafrost
Cited by 793
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The coherence of individual development: Early care, attachment, and subsequent developmental issues
Sroufe, L. A. (1979) · American Psychologist
Attachment and Relationship DynamicsPsychoanalysis and Psychopathology Research
Cited by 793
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The Repetitive Behavior Scale-Revised: Independent Validation in Individuals with Autism Spectrum Disorders
Lam, K. S. L., & Aman, M. G. (2007) · Journal of Autism and Developmental Disorders
Autism Spectrum Disorder ResearchChild Nutrition and Feeding Issues
Cited by 793
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Learning Accurate, Compact, and Interpretable Tree Annotation
Petrov, S., Barrett, L., Thibaux, R., & Klein, D. (2006) · Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL - ACL '06
Natural Language Processing TechniquesSyntax, Semantics, Linguistic Variation
Cited by 793
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Causes, consequences, and reversal of immune system aging
Montecino-Rodriguez, E., Berent-Maoz, B., & Dorshkind, K. (2013) · Journal of Clinical Investigation
T-cell and B-cell ImmunologyGenetics, Aging, and Longevity in Model Organisms
Cited by 793
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Gonadal Steroid Hormone Receptors and Sex Differences in the Hypothalamo-Pituitary-Adrenal Axis
Handa, R. J., Burgess, L. H., Kerr, J. E., & O'Keefe, J. A. (1994) · Hormones and Behavior
Stress Responses and CortisolAdrenal Hormones and Disorders
Cited by 793
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The Karolinska Directed Emotional Faces: A validation study
Goeleven, E., De Raedt, R., Leyman, L., & Verschuere, B. (2008) · Cognition & Emotion
Face Recognition and PerceptionEmotion and Mood Recognition
Cited by 793
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Mediterranean diet, stroke, cognitive impairment, and depression: A meta‐analysis
Psaltopoulou, T., Sergentanis, T. N., Panagiotakos, D. B., Sergentanis, I. N., Kosti, R., & Scarmeas, N. (2013) · Annals of Neurology
Nutritional Studies and DietDementia and Cognitive Impairment Research
Cited by 793
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Effect of renal denervation on blood pressure in the presence of antihypertensive drugs: 6-month efficacy and safety results from the SPYRAL HTN-ON MED proof-of-concept randomised trial
Kandzari, D. E., Böhm, M., Mahfoud, F., Townsend, R. R., Weber, M. A., Pocock, S., Tsioufis, K., Tousoulis, D., Choi, J. W., East, C., et al. (2018) · The Lancet
Blood Pressure and Hypertension StudiesRenal and Vascular Pathologies
Cited by 793
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APP mouse models for Alzheimer’s disease preclinical studies.
Sasaguri, H., Nilsson, P., Hashimoto, S., Nagata, K., Saito, T., De Strooper, B., Hardy, J., Vassar, R., Winblad, B., & Saido, T. C. (2017) · The EMBO Journal
Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research
Cited by 793
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Self‐awareness and the emergence of mind in primates
Gallup, G. G. (1982) · American Journal of Primatology
Primate Behavior and EcologyPhilosophy and Theoretical Science
Cited by 793
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Predicting the state of charge and health of batteries using data-driven machine learning
Ng, M.-F., Zhao, J., Yan, Q., Conduit, G. J., & Seh, Z. W. (2020) · Nature Machine Intelligence
Battery Modeling and ManagementAdvancements in Battery Materials
Cited by 793
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The Multidimensional Assessment of Interoceptive Awareness, Version 2 (MAIA-2)
Mehling, W. E., Acree, M., Stewart, A., Silas, J., & Jones, A. (2018) · PLOS ONE
Psychosomatic Disorders and Their TreatmentsMindfulness and Compassion Interventions
Cited by 793
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Validation of Time in Range as an Outcome Measure for Diabetes Clinical Trials
Beck, R. W., Bergenstal, R. M., Riddlesworth, T. D., Kollman, C., Li, Z., Brown, A. S., & Close, K. L. (2019) · Diabetes Care
Diabetes Management and ResearchDiabetes Treatment and Management
Cited by 793
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Statistical distance and Hilbert space
Wootters, W. K. (1981) · Physical Review D
Quantum Mechanics and ApplicationsQuantum Information and Cryptography
Cited by 793
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Health Behavior Theory and cumulative knowledge regarding health behaviors: are we moving in the right direction?
Noar, S. M., & Zimmerman, R. S. (2005) · Health Education Research
Behavioral Health and InterventionsMedia Influence and Health
Cited by 793
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Making memories last: the synaptic tagging and capture hypothesis
Redondo, R. L., & Morris, R. G. M. (2011) · Nature Reviews Neuroscience
Neuroscience and Neuropharmacology ResearchMemory and Neural Mechanisms
Cited by 792
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A review on prognostics and health monitoring of Li-ion battery
Zhang, J., & Lee, J. (2011) · Journal of Power Sources
Battery Modeling and ManagementAdvancements in Battery Materials
Cited by 792
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Epithelial‐mesenchymal transition spectrum quantification and its efficacy in deciphering survival and drug responses of cancer patients
Tan, T. Z., Miow, Q. H., Miki, Y., Noda, T., Mori, S., Huang, R. Y., & Thiery, J. P. (2014) · EMBO Molecular Medicine
Cancer Cells and MetastasisTGF-β signaling in diseases
Cited by 792
- Verified
Gating of human theta oscillations by a working memory task
Raghavachari, S., Kahana, M. J., Rizzuto, D. S., Caplan, J. B., Kirschen, M. P., Bourgeois, B., Madsen, J. R., & Lisman, J. E. (2001) · The Journal of Neuroscience
Neural dynamics and brain functionMemory and Neural Mechanisms
Cited by 792
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