Takahiro Tabuchi
Takahiro Tabuchi is an expert in Preventive medicine at Osaka International Cancer Institute (Japan). As of October 2026, ScienceLeadR ranks Takahiro Tabuchi in the top 1% of experts worldwide for Epidemiologic Studies. Takahiro Tabuchi has authored 624 publications, the most recent in 2026, and is an investigator in 1 clinical trial. SLR score: 2,223 (community average: 125). How the SLR is computed.
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Preventive medicine
Subspecialties: Public Health - Psychiatry
Main Topics
Publications and Clinical Studies
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Career arc: 2009 - 2026
Number : 624
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Latest Publications
5 most recent indexed articles
Source: Pubmed
| Title | Journal | Year | Citations |
|---|---|---|---|
| Incidence and Lifestyle Risk Factors for Same-Level Falls Among Japanese Workers. PMID 42168814 — environmental exposure, life style, incidence, occupational diseases, occupational exposure, risk factors, tobacco use, occupational injuries, accidental falls, environmental health | J Occup Environ Med | 2026 | 0 |
| Sex Differences in the Association Between Child Sexual Abuse and Machine-Based Gambling: Findings from a National Survey. PMID 42925403 — gambling, sex characteristics, sex, child abuse, sexual, therapeutics, child, sex differences | J Gambl Stud | 2026 | 0 |
| Cross-Sectional Associations of Positive and Adverse Childhood Experiences with Adulthood Awareness of and Participation in Children's Cafeterias (Kodomo Shokudo) in Japan. PMID 42926344 — public health, life change events, adverse childhood experiences | Asia Pac J Public Health | 2026 | 0 |
| Urban and rural differences in healthcare access among survivors of child sexual abuse: a nationwide survey. PMID 42908022 — child abuse, sexual, therapeutics, child | Int J Equity Health | 2026 | 0 |
| Associations between parental generative artificial intelligence health-advice use and child vaccination uptake in Japan: an exploratory cross-sectional study. PMID 42881346 — mumps, intelligence, cross-sectional studies, vaccines, vaccination, covid-19, influenza, human, pediatrics, artificial intelligence, child, generative artificial intelligence | World J Pediatr | 2026 | 0 |
Clinical Studies 1
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