David Baker: h-index, Total Citations, and Citation Map
David Baker's h-index is 233 (1196 i10-index, 213,812+ total citations across 1,000+ publications) according to Google Scholar as of May 2026. David Baker is affiliated with University of Washington.
David Baker is a researcher affiliated with University of Washington, specializing in Protein Design. Their work has been cited 213,812 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
David Baker's Citation Metrics
Bibliometric impact based on 1,000 indexed publications.
- H-Index
- 233
- i10-Index
- 1196
- Total Citations
- 213,812
- Citing Countries
- 63
As of May 2026.
David Baker has an h-index of 233 and 213,812 total citations across 1000 publications, with research cited by institutions in 63 countries.
Global Impact Map
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Top Cited Works
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2021 publication — 6290 citations
20216,290
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.
1313 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher produced a seminal 2021 publication that has garnered over 6,000 citations, establishing a foundational contribution widely adopted by independent scholars across the field.
The researcher developed the Robetta server, a widely adopted computational platform that significantly advanced the field of protein structure prediction and analysis.
The researcher developed foundational methods for protein structure prediction using Rosetta, establishing a widely adopted computational framework that has significantly advanced the field of structural bioinformatics.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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