David Botstein: h-index, Total Citations, and Citation Map
David Botstein's h-index is 194 (470 i10-index, 324,713+ total citations across 3+ publications) according to Google Scholar as of May 2026. David Botstein is affiliated with Princeton University.
David Botstein is a researcher affiliated with Princeton University, specializing in Genetics. Their work has been cited 324,713 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
David Botstein's Citation Metrics
Bibliometric impact based on 3 indexed publications.
- H-Index
- 194
- i10-Index
- 470
- Total Citations
- 324,713
- Citing Countries
- 10
As of May 2026.
David Botstein has an h-index of 194 and 324,713 total citations across 3 publications, with research cited by institutions in 10 countries.
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We've mapped 5,000 of 324,713 citations for David Botstein
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Global Impact Map
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Top Cited Works
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Gene ontology: tool for the unification of biology
200051,366
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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.
2 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed foundational methods for clustering and visualizing genome-wide expression patterns, establishing a standard approach for analyzing high-dimensional biological data.
The researcher developed the Gene Ontology framework, a seminal tool for the unification of biological data that has become a foundational standard in the field.
The researcher established a foundational molecular classification framework for human breast tumors, fundamentally shifting the understanding of breast cancer heterogeneity through high-impact publication in Nature.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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