Longxing Cao: h-index, Total Citations, and Citation Map
Longxing Cao's h-index is 22 (29 i10-index, 3,669+ total citations across 54+ publications) according to Google Scholar as of June 2026. Longxing Cao is affiliated with University of Washington.
Longxing Cao is a researcher affiliated with University of Washington, specializing in Protein Design. Their work has been cited 3,669 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Longxing Cao's Citation Metrics
Bibliometric impact based on 54 indexed publications.
- H-Index
- 22
- i10-Index
- 29
- Total Citations
- 3,669
- Citing Countries
- 66
As of June 2026.
Longxing Cao has an h-index of 22 and 3,669 total citations across 54 publications, with research cited by institutions in 66 countries.
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Global Impact Map
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De novo design of picomolar SARS-CoV-2 miniprotein inhibitors
2020834
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.
174 citing papers could not be classified (no author data) — excluded from the percentages above.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Longxing Cao's research
Longxing Cao is a researcher in Protein Design at University of Washington. Their work has been cited 3,669 times across 54 publications (h-index 22), according to Google Scholar.
Their most-cited work, “De novo design of picomolar SARS-CoV-2 miniprotein inhibitors” (2020), has accumulated 834 citations. Other influential works include “Design of protein-binding proteins from the target structure alone” (2022) with 682 citations and “De novo design of luciferases using deep learning” (2023) with 520 citations.
Citations of Longxing Cao's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
