David C. Richardson Google Scholar: h-index, Total Citations, and Citation Map
David C. Richardson's h-index is 59 (109 i10-index, 89,689+ total citations across 210+ publications) according to Google Scholar as of October 2026. David C. Richardson is affiliated with Duke University.
David C. Richardson is a researcher affiliated with Duke University, specializing in protein crystallography, molecular graphics, structural informatics. Their work has been cited 89,689 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
David C. Richardson's Citation Metrics
Bibliometric impact based on 210 indexed publications.
- H-Index
- 59
- i10-Index
- 109
- Total Citations
- 89,689
- Citing Countries
- 11
As of October 2026.
David C. Richardson has an h-index of 59 and 89,689 total citations across 210 publications, with research cited by institutions in 11 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing David C. Richardson's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
PHENIX: a comprehensive Python-based system for macromolecular structure solution
201027,067
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.
The researcher developed PHENIX, a comprehensive Python-based system for macromolecular structure solution, establishing a widely adopted computational framework for biological crystallography.
The researcher developed MolProbity, a seminal all-atom structure validation framework for macromolecular crystallography that has become a standard tool in the field.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
About David C. Richardson's research
David C. Richardson is a researcher in protein crystallography, molecular graphics and structural informatics at Duke University. Their work has been cited 89,689 times across 210 publications (h-index 59), according to Google Scholar.
Their most-cited work, “PHENIX: a comprehensive Python-based system for macromolecular structure solution” (2010), has accumulated 27,067 citations. Other influential work includes “MolProbity: all-atom structure validation for macromolecular crystallography” (2010) with 16,113 citations.
Citations of David C. Richardson's research come primarily from United States, China and France, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
