Koichiro Tamura: h-index, Total Citations, and Citation Map
Koichiro Tamura's h-index is 43 (73 i10-index, 318,424+ total citations across 5+ publications) according to Google Scholar as of May 2026. Koichiro Tamura is affiliated with Director, Professor, Research Center for Genomics and Bioinformatics, Tokyo Metropolitan University.
Koichiro Tamura is a researcher affiliated with Director, Professor, Research Center for Genomics and Bioinformatics, Tokyo Metropolitan University, specializing in evolutionary genetics, evolutionary biology, genomics. Their work has been cited 318,424 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Koichiro Tamura's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 43
- i10-Index
- 73
- Total Citations
- 318,424
- Citing Countries
- 12
As of May 2026.
Koichiro Tamura has an h-index of 43 and 318,424 total citations across 5 publications, with research cited by institutions in 12 countries.
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We've mapped 5,000 of 318,424 citations for Koichiro Tamura
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Global Impact Map
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Top Cited Works
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MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets
201650,496
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
19 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed MEGA5, a widely adopted software suite for molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.
The researcher developed MEGA4, a widely adopted software tool for molecular evolutionary genetics analysis that has become a standard resource in the field.
The researcher developed MEGA6, a widely adopted software tool for molecular evolutionary genetics analysis that has become a standard resource in the field.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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