Gong Feng
- Microbiology top 2%
- Antimicrobial Peptides and Activities 5
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research 9
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies 4
- Hepatology top 10%
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 8
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- Liver Disease Diagnosis and Treatment 17
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- Erythrocyte Function and Pathophysiology 10
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- Blood groups and transfusion 9
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- Neonatal Health and Biochemistry 5
- Co-authors
- Ming‐Hua ZhengGiovanni TargherChristopher D. ByrneJin‐Ping LiUlf LindahlKenneth I. ZhengWen‐Yue LiuRobert Kisilevsky
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (3 papers)Nature Communications (1 paper)
- Partner nations
- ChinaItalyUnited States
In The Last Decade
Gong Feng
78 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Microbiology 171
- Cell Biology 444
- Infectious Diseases 334
- Hepatology 109
- Molecular Biology 889
Countries citing papers authored by Gong Feng
This map shows the geographic impact of Gong Feng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gong Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gong Feng more than expected).
Fields of papers citing papers by Gong Feng
This network shows the impact of papers produced by Gong Feng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gong Feng. The network helps show where Gong Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gong Feng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 11 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 0 | |
| 11 | Recompensation in cirrhosis: unravelling the evolving natural history of nonalcoholic fatty liver diseasebreakdown → | 2023 | 99 |
| 12 | 2023 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2017 | 3 | |
| 15 | 2015 | 23 | |
| 16 | Output feedback stabilization of networked control systems with random packet dropouts | 2012 | 1 |
| 17 | Isolation and antibacterial activity of ACC deaminase-containing endophytic bacteria from Eucommia ulmoides Oliver | 2011 | 1 |
| 18 | 2008 | 42 | |
| 19 | 2007 | 14 | |
| 20 | A comparison of clipping methods for endoscopic hemostasis | 1998 | 1 |
About Gong Feng
Gong Feng is a scholar working on Hepatology, Hematology and Cell Biology, having authored 85 papers that have together received 1.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (17 papers), Erythrocyte Function and Pathophysiology (10 papers), Proteoglycans and glycosaminoglycans research (9 papers), Blood groups and transfusion (9 papers), Glycosylation and Glycoproteins Research (8 papers), Neonatal Health and Biochemistry (5 papers), Antimicrobial Peptides and Activities (5 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Microbiology (171 citations), Cell Biology (444 citations) and Infectious Diseases (334 citations). Gong Feng has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Ming‐Hua Zheng, Giovanni Targher, Christopher D. Byrne, Jin‐Ping Li, Ulf Lindahl, Kenneth I. Zheng, Wen‐Yue Liu, Robert Kisilevsky, Rafael S. Rios and Qinqin Yan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.