Sudhir Kumar: h-index, Total Citations, and Citation Map
Sudhir Kumar's h-index is 89 (203 i10-index, 339,331+ total citations across 5+ publications) according to Google Scholar as of May 2026. Sudhir Kumar is affiliated with Director, iGEM, Carnell Professor of Biology, Temple University.
Sudhir Kumar is a researcher affiliated with Director, iGEM, Carnell Professor of Biology, Temple University, specializing in Genomics, Phylogenetics, Bioinformatics. Their work has been cited 339,331 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Sudhir Kumar's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 89
- i10-Index
- 203
- Total Citations
- 339,331
- Citing Countries
- 16
As of May 2026.
Sudhir Kumar has an h-index of 89 and 339,331 total citations across 5 publications, with research cited by institutions in 16 countries.
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We've mapped 5,000 of 339,331 citations for Sudhir Kumar
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Global Impact Map
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Top Cited Works
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2016 publication — 50488 citations
201650,488
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.
17 citing papers could not be classified (no author data) — excluded from the percentages above.
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 MEGA5, a widely adopted software suite for molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.
The researcher developed MEGA6, a widely adopted software platform for molecular evolutionary genetics analysis that has become a standard tool in the field.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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