Jeff Headd: h-index, Total Citations, and Citation Map
Jeff Headd's h-index is 21 (25 i10-index, 57,309+ total citations across 3+ publications) according to Google Scholar as of May 2026. Jeff Headd is affiliated with Johnson & Johnson Innovative Medicine.
Jeff Headd is a researcher affiliated with Johnson & Johnson Innovative Medicine, specializing in Data Science, Artificial Intelligence, Patient Journey. Their work has been cited 57,309 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Jeff Headd's Citation Metrics
Bibliometric impact based on 3 indexed publications.
- H-Index
- 21
- i10-Index
- 25
- Total Citations
- 57,309
- Citing Countries
- 13
As of May 2026.
Jeff Headd has an h-index of 21 and 57,309 total citations across 3 publications, with research cited by institutions in 13 countries.
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We've mapped 5,000 of 57,309 citations for Jeff Headd
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Global Impact Map
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Top Cited Works
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PHENIX: a comprehensive Python-based system for macromolecular structure solution
201027,066
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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 developed PHENIX, a comprehensive Python-based system for macromolecular structure solution, establishing a widely adopted computational framework in biological crystallography.
The researcher developed MolProbity, a seminal all-atom structure validation tool for macromolecular crystallography, establishing a rigorous standard for assessing structural quality in biological crystallography.
The researcher developed MolProbity, a seminal all-atom structure validation tool that significantly improved reference data quality and became a standard in structural biology.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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