George Fu Gao Google Scholar: h-index, Total Citations, and Citation Map
George Fu Gao's h-index is 158 (862 i10-index, 215,389+ total citations across 100+ publications) according to Google Scholar as of September 2026. George Fu Gao is affiliated with Professor of Chinese Academy of Sciences.
George Fu Gao is a researcher affiliated with Professor of Chinese Academy of Sciences, specializing in various fields. Their work has been cited 215,389 times. This profile visualizes their global influence, spanning a global audience.
George Fu Gao's Citation Metrics
Bibliometric impact based on 100 indexed publications.
- H-Index
- 158
- i10-Index
- 862
- Total Citations
- 215,389
- Citing Countries
- 0
As of September 2026.
George Fu Gao has an h-index of 158 and 215,389 total citations across 100 publications, with research cited by institutions in 0 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing George Fu Gao'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.
A novel coronavirus from patients with pneumonia in China, 2019
202036,121
Top Citing Countries
Top Citing Institutions
No institution data available.
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 George Fu Gao's research
George Fu Gao is a researcher at Professor of Chinese Academy of Sciences. Their work has been cited 215,389 times across 100 publications (h-index 158), according to Google Scholar.
Their most-cited work, “A novel coronavirus from patients with pneumonia in China, 2019” (2020), has accumulated 36,121 citations. Other influential works include “Early transmission dynamics in Wuhan, China, of novel coronavirus–infected pneumonia” (2020) with 23,256 citations and “Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding” (2020) with 16,879 citations.











