Most cited papers
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Integrated aquaculture: rationale, evolution and state of the art emphasizing seaweed biofiltration in modern mariculture
Neori, A., Chopin, T., Troell, M., Buschmann, A. H., Kraemer, G. P., Halling, C., Shpigel, M., & Yarish, C. (2004) · Aquaculture
Marine Bivalve and Aquaculture StudiesAquaculture Nutrition and Growth
Cited by 1,093
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Body mass index, serum sex hormones, and breast cancer risk in postmenopausal women
Endogenous Hormones Breast Cancer Collaborative Group (2003) · JNCI Journal of the National Cancer Institute
Cancer Risks and FactorsEstrogen and related hormone effects
Cited by 1,093
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Lactic Acid Permeabilizes Gram-Negative Bacteria by Disrupting the Outer Membrane
Alakomi, H.-L., Skyttä, E., Saarela, M., Mattila-Sandholm, T., Latva-Kala, K., & Helander, I. M. (2000) · Applied and Environmental Microbiology
Bacterial Genetics and BiotechnologyEscherichia coli research studies
Cited by 1,093
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Rituximab, B-lymphocyte depletion, and preservation of beta-cell function
Pescovitz, M. D., Greenbaum, C. J., Krause-Steinrauf, H., Becker, D. J., Gitelman, S. E., Goland, R., Gottlieb, P. A., Marks, J. B., McGee, P. F., Moran, A. M., et al. (2009) · New England Journal of Medicine
Diabetes and associated disordersT-cell and B-cell Immunology
Cited by 1,093
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A randomised controlled trial of dietary improvement for adults with major depression (the ‘SMILES’ trial)
Jacka, F. N., O’Neil, A., Opie, R., Itsiopoulos, C., Cotton, S., Mohebbi, M., Castle, D., Dash, S., Mihalopoulos, C., Chatterton, M. L., et al. (2017) · BMC Medicine
Nutritional Studies and DietTreatment of Major Depression
Cited by 1,093
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Mesenchymal Stem Cells for Regenerative Medicine
Han, Y., Li, X., Zhang, Y., Han, Y., Chang, F., & Ding, J. (2019) · Cells
Mesenchymal stem cell researchPeriodontal Regeneration and Treatments
Cited by 1,093
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The bronchiectasis severity index. An international derivation and validation study
Chalmers, J. D., Goeminne, P., Aliberti, S., McDonnell, M. J., Lonni, S., Davidson, J., Poppelwell, L., Salih, W., Pesci, A., Dupont, L. J., et al. (2014) · American Journal of Respiratory and Critical Care Medicine
Cystic Fibrosis Research AdvancesChronic Obstructive Pulmonary Disease (COPD) Research
Cited by 1,093
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Anti-Inflammatory Therapy in Chronic Disease: Challenges and Opportunities
Tabas, I., & Glass, C. K. (2013) · Science
Inflammatory mediators and NSAID effectsAdipokines, Inflammation, and Metabolic Diseases
Cited by 1,093
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Mammalian cell size is controlled by mTOR and its downstream targets S6K1 and 4EBP1/eIF4E
Fingar, D. C., Salama, S., Tsou, C., Harlow, E., & Blenis, J. (2002) · Genes & Development
PI3K/AKT/mTOR signaling in cancerRNA and protein synthesis mechanisms
Cited by 1,093
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Anomalous Ward Identities in Spinor Field Theories
Bardeen, W. A. (1969) · Physical Review
Particle physics theoretical and experimental studiesQuantum Chromodynamics and Particle Interactions
Cited by 1,093
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Religion and spirituality: Linkages to physical health.
Powell, L. H., Shahabi, L., & Thoresen, C. E. (2003) · American Psychologist
Religion, Spirituality, and PsychologyReligion and Society Interactions
Cited by 1,093
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A theory crack healing in polymers
Wool, R. P., & O’Connor, K. M. (1981) · Journal of Applied Physics
Polymer composites and self-healingPolymer crystallization and properties
Cited by 1,093
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Image analysis and machine learning in digital pathology: challenges and opportunities
Madabhushi, A., & Lee, G. (2016) · Medical Image Analysis
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 1,093
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Control of brain development, function, and behavior by the microbiome
Sampson, T. R., & Mazmanian, S. K. (2015) · Cell Host & Microbe
Gut microbiota and healthTryptophan and brain disorders
Cited by 1,093
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Deep neural networks: a new framework for modeling biological vision and brain information processing
Kriegeskorte, N. (2015) · Annual Review of Vision Science
Advanced Neural Network ApplicationsVisual perception and processing mechanisms
Cited by 1,093
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Glycaemic index methodology
Brouns, F., Bjorck, I., Frayn, K. N., Gibbs, A. L., Lang, V., Slama, G., & Wolever, T. M. S. (2005) · Nutrition Research Reviews
Food composition and propertiesDiet, Metabolism, and Disease
Cited by 1,093
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Exploratory Structural Equation Modeling, Integrating CFA and EFA: Application to Students' Evaluations of University Teaching
Marsh, H. W., Muthén, B., Asparouhov, T., Lüdtke, O., Robitzsch, A., Morin, A. J. S., & Trautwein, U. (2009) · Structural Equation Modeling: A Multidisciplinary Journal
Psychometric Methodologies and TestingEvaluation of Teaching Practices
Cited by 1,093
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The Linear Multivariable Regulator Problem
Francis, B. A. (1977) · SIAM Journal on Control and Optimization
Stability and Control of Uncertain SystemsAdvanced Control Systems Design
Cited by 1,092
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Guidelines for transepidermal water loss (TEWL) measurement: A Report from the Standardization Group of the European Society of Contact Dermatitis
Pinnagoda, J., Tupkek, R. A., Agner, T., & Serup, J. (1990) · Contact Dermatitis
Contact Dermatitis and AllergiesAdvancements in Transdermal Drug Delivery
Cited by 1,092
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Survey of Stress Reactions Among Health Care Workers Involved With the SARS Outbreak
Bai, Y., Lin, C.-C., Lin, C.-Y., Chen, J.-Y., Chue, C.-M., & Chou, P. (2004) · Psychiatric Services
COVID-19 and Mental HealthHealthcare professionals’ stress and burnout
Cited by 1,092
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The Effects of E‐Government on Trust and Confidence in Government
Tolbert, C. J., & Mossberger, K. (2006) · Public Administration Review
E-Government and Public ServicesPublic Policy and Administration Research
Cited by 1,092
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Circadian physiology of metabolism
Panda, S. (2016) · Science
Circadian rhythm and melatoninDietary Effects on Health
Cited by 1,092
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Glucolipotoxicity: fuel excess and β-cell dysfunction
Poitout, V., & Robertson, R. P. (2008) · Endocrine Reviews
Pancreatic function and diabetesDiabetes Treatment and Management
Cited by 1,092
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Attention on Attention for Image Captioning
Huang, L., Wang, W., Chen, J., & Wei, X.-Y. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection
Cited by 1,092
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