Biography and Research Information
OverviewAI-generated summary
Tao Chen's research focuses on health sciences, with a particular emphasis on meta-analyses and systematic reviews to evaluate health and medical research impacts. Recent publications include an individual-participant data meta-analysis on lifestyle and incident dementia, examining risk factors across diverse global cohorts. Chen has also investigated the global burden of syphilis and explored the utility of physical function measures for predicting functional disability in older adults.
Further work by Chen involves medical imaging and diagnostics, such as using PET/CT-based deep learning to predict nodal metastasis in lung cancer and comparing imaging techniques for staging thoracic sarcoidosis. Research also extends to molecular mechanisms, including the protective effects of resveratrol against myocardial ischemic injury through the inhibition of inflammation and enhancement of antioxidant defenses. Chen's scholarship metrics indicate a highly cited researcher with 160 publications and an h-index of 29.
Metrics
- h-index: 28
- Publications: 151
- Citations: 2,603
Selected Publications
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Germline mutagenicity of molnupiravir and its active form, β-d-N4-hydroxycytidine, in Caenorhabditis elegans evaluated using whole-genome sequencing (2025)
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Integration of the rat liver micronucleus assay into a 28-day treatment protocol: testing the genotoxicity of 4 small-molecule nitrosamines with different carcinogenic potencies and tumor target specificities (2025)
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Application of duplex sequencing to evaluate mutagenicity of aristolochic acid and methapyrilene in Fisher 344 rats (2024)
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Evaluation of mutagenic susceptibility of different stages in germ cell development of Caenorhabditis elegans using whole genome sequencing (2023)
Collaboration Network
Top Collaborators
- Potential utility of physical function measures to improve the risk prediction of functional disability in community-dwelling older Japanese adults: a prospective study
- The Associations between Objectively Measured Physical Activity and Physical Function in Community-Dwelling Older Japanese Men and Women
- Normative Data of Objectively Measured Physical Activity and Sedentary Time in Community—Dwelling Older Japanese
- Associations of Objectively-Measured Sedentary Time and Patterns with Cognitive Function in Non-Demented Japanese Older Adults: A Cross-Sectional Study
- Accelerometer-measured sedentary behavior and risk of functional disability in older Japanese adults: a 9-year prospective cohort study
Showing 5 of 12 shared publications
- Potential utility of physical function measures to improve the risk prediction of functional disability in community-dwelling older Japanese adults: a prospective study
- Normative Data of Objectively Measured Physical Activity and Sedentary Time in Community—Dwelling Older Japanese
- Correlates of Gait Speed Among Older Adults From 6 Countries: Findings From the COSMIC Collaboration
- Associations of Objectively-Measured Sedentary Time and Patterns with Cognitive Function in Non-Demented Japanese Older Adults: A Cross-Sectional Study
- Accelerometer-measured sedentary behavior and risk of functional disability in older Japanese adults: a 9-year prospective cohort study
Showing 5 of 10 shared publications
- Potential utility of physical function measures to improve the risk prediction of functional disability in community-dwelling older Japanese adults: a prospective study
- Correlates of Gait Speed Among Older Adults From 6 Countries: Findings From the COSMIC Collaboration
- Associations of Objectively-Measured Sedentary Time and Patterns with Cognitive Function in Non-Demented Japanese Older Adults: A Cross-Sectional Study
- Accelerometer-measured sedentary behavior and risk of functional disability in older Japanese adults: a 9-year prospective cohort study
- Associations of objectively measured physical activity and sedentary time with all-cause mortality in Japanese older adults: a 10-year prospective study
Showing 5 of 9 shared publications
- Potential utility of physical function measures to improve the risk prediction of functional disability in community-dwelling older Japanese adults: a prospective study
- Associations of Objectively-Measured Sedentary Time and Patterns with Cognitive Function in Non-Demented Japanese Older Adults: A Cross-Sectional Study
- Accelerometer-measured sedentary behavior and risk of functional disability in older Japanese adults: a 9-year prospective cohort study
- Associations of objectively measured physical activity and sedentary time with all-cause mortality in Japanese older adults: a 10-year prospective study
- Longitudinal Changes in Moderate to Vigorous Physical Activity in Community-Dwelling Older Men and Women: A 2-Year Prospective Cohort Study in Japan
Showing 5 of 7 shared publications
- Associations of Objectively-Measured Sedentary Time and Patterns with Cognitive Function in Non-Demented Japanese Older Adults: A Cross-Sectional Study
- Accelerometer-measured sedentary behavior and risk of functional disability in older Japanese adults: a 9-year prospective cohort study
- Predictive ability of the total score of the Kihon checklist for the incidence of functional disability in older Japanese adults: An <scp>8‐year</scp> prospective study
- Associations of objectively measured physical activity and sedentary time with all-cause mortality in Japanese older adults: a 10-year prospective study
- Longitudinal Changes in Moderate to Vigorous Physical Activity in Community-Dwelling Older Men and Women: A 2-Year Prospective Cohort Study in Japan
Showing 5 of 7 shared publications
- The Associations between Objectively Measured Physical Activity and Physical Function in Community-Dwelling Older Japanese Men and Women
- Normative Data of Objectively Measured Physical Activity and Sedentary Time in Community—Dwelling Older Japanese
- Association between the number of chronic pain sites and neuropathic-like symptoms in community-dwelling older adults with chronic pain: a cross-sectional study
- Independent and combined associations of depressive symptoms and sleep disturbance with chronic pain in community-dwelling older adults
- A multifunctional hydrogel of cellulose nanofiber/microfibrillated cellulose hierarchical network for photothermal antibacterial and all-solid supercapacitor assembly
- A porous directional channel xylem reactor based on a continuous fluid catalysis process applied to the conversion of polydatin to resveratrol
- Construction of a precise temperature–controlled continuous-flow catalytic reactor based on cellulose and MXene with directional thermal pathway heating and enzyme immobilization
- High-efficiency mass-transfer Marangoni cellulose hydrogel reactor for the degradation of pollutants
- A multifunctional hydrogel of cellulose nanofiber/microfibrillated cellulose hierarchical network for photothermal antibacterial and all-solid supercapacitor assembly
- A porous directional channel xylem reactor based on a continuous fluid catalysis process applied to the conversion of polydatin to resveratrol
- Construction of a precise temperature–controlled continuous-flow catalytic reactor based on cellulose and MXene with directional thermal pathway heating and enzyme immobilization
- High-efficiency mass-transfer Marangoni cellulose hydrogel reactor for the degradation of pollutants
- A multifunctional hydrogel of cellulose nanofiber/microfibrillated cellulose hierarchical network for photothermal antibacterial and all-solid supercapacitor assembly
- A porous directional channel xylem reactor based on a continuous fluid catalysis process applied to the conversion of polydatin to resveratrol
- Construction of a precise temperature–controlled continuous-flow catalytic reactor based on cellulose and MXene with directional thermal pathway heating and enzyme immobilization
- High-efficiency mass-transfer Marangoni cellulose hydrogel reactor for the degradation of pollutants
- PET/CT based cross-modal deep learning signature to predict occult nodal metastasis in lung cancer
- PET/CT-based deep learning grading signature to optimize surgical decisions for clinical stage I invasive lung adenocarcinoma and biologic basis under its prediction: a multicenter study
- Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma
- Prognostic outcomes and recurrence patterns in resected stage I lung adenocarcinoma harbouring atypical epidermal growth factor receptor mutations
- PET/CT based cross-modal deep learning signature to predict occult nodal metastasis in lung cancer
- PET/CT-based deep learning grading signature to optimize surgical decisions for clinical stage I invasive lung adenocarcinoma and biologic basis under its prediction: a multicenter study
- Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma
- Prognostic outcomes and recurrence patterns in resected stage I lung adenocarcinoma harbouring atypical epidermal growth factor receptor mutations
- Potential utility of physical function measures to improve the risk prediction of functional disability in community-dwelling older Japanese adults: a prospective study
- Normative Data of Objectively Measured Physical Activity and Sedentary Time in Community—Dwelling Older Japanese
- Associations of sedentary time, physical activity, and cardiorespiratory fitness with metabolic syndrome in Japanese industrial workers: The Toyota Motor Corporation Physical Activity and Fitness Study
- Sex differences in dementia risk and risk factors: Individual‐participant data analysis using 21 cohorts across six continents from the COSMIC consortium
- Lifestyle and incident dementia: A COSMIC individual participant data meta‐analysis
- Correlates of Gait Speed Among Older Adults From 6 Countries: Findings From the COSMIC Collaboration
- PET/CT based cross-modal deep learning signature to predict occult nodal metastasis in lung cancer
- PET/CT-based deep learning grading signature to optimize surgical decisions for clinical stage I invasive lung adenocarcinoma and biologic basis under its prediction: a multicenter study
- Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma
- PET/CT based cross-modal deep learning signature to predict occult nodal metastasis in lung cancer
- PET/CT-based deep learning grading signature to optimize surgical decisions for clinical stage I invasive lung adenocarcinoma and biologic basis under its prediction: a multicenter study
- Prognostic outcomes and recurrence patterns in resected stage I lung adenocarcinoma harbouring atypical epidermal growth factor receptor mutations
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