Jeff Headd: h-index, Total Citations, and Citation Map
Jeff Headd's h-index is 21 (24 i10-index, 58,265+ total citations across 57+ publications) according to Google Scholar as of July 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 58,265 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Jeff Headd's Citation Metrics
Bibliometric impact based on 57 indexed publications.
- H-Index
- 21
- i10-Index
- 24
- Total Citations
- 58,265
- Citing Countries
- 27
As of July 2026.
Jeff Headd has an h-index of 21 and 58,265 total citations across 57 publications, with research cited by institutions in 27 countries.
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Global Impact Map
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PHENIX: a comprehensive Python-based system for macromolecular structure solution
201027,425
Top Citing Countries
Top Citing Institutions
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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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About Jeff Headd's research
Jeff Headd is a researcher in Data Science, Artificial Intelligence and Patient Journey at Johnson & Johnson Innovative Medicine. Their work has been cited 58,265 times across 57 publications (h-index 21), according to Google Scholar.
Their most-cited work, “PHENIX: a comprehensive Python-based system for macromolecular structure solution” (2010), has accumulated 27,425 citations. Other influential works include “MolProbity: all-atom structure validation for macromolecular crystallography” (2010) with 16,382 citations and “Towards automated crystallographic structure refinement with phenix. refine” (2012) with 6,381 citations.
Citations of Jeff Headd's research come primarily from United States, China and Germany, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
