Ed Silverman: h-index, Total Citations, and Citation Map
Ed Silverman's h-index is 149 (647 i10-index, 84,009+ total citations across 3+ publications) according to Google Scholar as of May 2026. Ed Silverman is affiliated with Unknown affiliation.
Ed Silverman is a researcher affiliated with Unknown affiliation, specializing in various fields. Their work has been cited 84,009 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Ed Silverman's Citation Metrics
Bibliometric impact based on 3 indexed publications.
- H-Index
- 149
- i10-Index
- 647
- Total Citations
- 84,009
- Citing Countries
- 14
As of May 2026.
Ed Silverman has an h-index of 149 and 84,009 total citations across 3 publications, with research cited by institutions in 14 countries.
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We've mapped 5,000 of 84,009 citations for Ed Silverman
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Top Cited Works
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Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program
20212,480
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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.
The researcher characterized heterogeneity in COPD within the ECLIPSE cohort, establishing a foundational framework for understanding disease variability that has been widely adopted by independent researchers.
The researcher established the foundational design for the COPDGene study, creating a seminal framework for investigating the genetic epidemiology of chronic obstructive pulmonary disease.
The researcher led the sequencing of 53,831 diverse genomes for the NHLBI TOPMed Program, establishing a foundational resource for large-scale genomic analysis.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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