Matthew Meyerson: h-index, Total Citations, and Citation Map
Matthew Meyerson's h-index is 234 (469 i10-index, 381,458+ total citations across 3+ publications) according to Google Scholar as of May 2026. Matthew Meyerson is affiliated with Professor of Genetics and Medicine, Harvard Medical School.
Matthew Meyerson is a researcher affiliated with Professor of Genetics and Medicine, Harvard Medical School, specializing in Cancer biology, genetics, and drug discovery. Their work has been cited 381,458 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Matthew Meyerson's Citation Metrics
Bibliometric impact based on 3 indexed publications.
- H-Index
- 234
- i10-Index
- 469
- Total Citations
- 381,458
- Citing Countries
- 11
As of May 2026.
Matthew Meyerson has an h-index of 234 and 381,458 total citations across 3 publications, with research cited by institutions in 11 countries.
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We've mapped 5,000 of 381,458 citations for Matthew Meyerson
We've shown the most-cited 5,000. Unlock the full crawl (381,444 more citations) to see every institution citing this scholar.
Global Impact Map
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Top Cited Works
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EGFR Mutations in Lung Cancer: Correlation with Clinical Response to Gefitinib Therapy
200412,568
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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 established the critical link between EGFR mutations and clinical response to gefitinib in lung cancer, a foundational discovery published in Science.
The researcher established a foundational framework for characterizing mutational signatures in human cancer, providing a critical tool for understanding cancer etiology and evolution.
The researcher developed the Cancer Cell Line Encyclopedia to enable predictive modeling of anticancer drug sensitivity, a foundational resource published in Nature.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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