Heng Li: h-index, Total Citations, and Citation Map
Heng Li's h-index is 84 (122 i10-index, 309,244+ total citations across 4+ publications) according to Google Scholar as of May 2026. Heng Li is affiliated with Dana-Farber Cancer Institute & Harvard University.
Heng Li is a researcher affiliated with Dana-Farber Cancer Institute & Harvard University, specializing in Computational Biology, Bioinformatics, Genomics. Their work has been cited 309,244 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Heng Li's Citation Metrics
Bibliometric impact based on 4 indexed publications.
- H-Index
- 84
- i10-Index
- 122
- Total Citations
- 309,244
- Citing Countries
- 25
As of May 2026.
Heng Li has an h-index of 84 and 309,244 total citations across 4 publications, with research cited by institutions in 25 countries.
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We've mapped 5,000 of 309,244 citations for Heng Li
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Global Impact Map
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Top Cited Works
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The Sequence Alignment/Map format and SAMtools
200968,403
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.
3 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed the Sequence Alignment/Map format and SAMtools, establishing a foundational standard for processing high-throughput sequencing data.
The researcher developed a fast, accurate short-read alignment method using the Burrows–Wheeler transform, establishing a foundational algorithmic standard in bioinformatics.
The researcher established a foundational global reference for human genetic variation, a seminal work that has become a standard benchmark in the field.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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