Shan Feng
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research 9
- COVID-19 Clinical Research Studies 4
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- Protein Kinase Regulation and GTPase Signaling 5
- Ubiquitin and proteasome pathways 5
- Glycosylation and Glycoproteins Research 3
- Genomics, phytochemicals, and oxidative stress 3
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- Monoclonal and Polyclonal Antibodies Research 8
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- Tea Polyphenols and Effects 4
- Co-authors
- Yong‐Bin YanHaiteng DengYiyi GongJens BukhUlrik FahnøeJudith M. GottweinSantseharay RamírezTong‐Jin Zhao
- Journals
- Nature Communications (3 papers)Food Research International (2 papers)The International Journal of Biochemistry & Cell Biology (2 papers)
- Partner nations
- ChinaDenmarkUnited States
In The Last Decade
Shan Feng
51 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 104
- Infectious Diseases 187
- Immunology 160
- Molecular Biology 494
- Oncology 153
- Cell Biology 85
Countries citing papers authored by Shan Feng
This map shows the geographic impact of Shan 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 Shan Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Feng more than expected).
Fields of papers citing papers by Shan Feng
This network shows the impact of papers produced by Shan 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 Shan Feng. The network helps show where Shan Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shan 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 | 2025 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 16 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 24 | |
| 9 | 2022 | 16 | |
| 10 | 2021 | 63 | |
| 11 | 2021 | 37 | |
| 12 | 2021 | 53 | |
| 13 | 2021 | 16 | |
| 14 | 2019 | 1 | |
| 15 | 2019 | 5 | |
| 16 | 2016 | 12 | |
| 17 | 2014 | 9 | |
| 18 | 2012 | 4 | |
| 19 | 2008 | 7 | |
| 20 | 2006 | 38 |
About Shan Feng
Shan Feng is a scholar working on Infectious Diseases, Biochemistry and Molecular Biology, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Ubiquitin and proteasome pathways (5 papers), COVID-19 Clinical Research Studies (4 papers), Tea Polyphenols and Effects (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). The work is most often cited by research in Infectious Diseases (187 citations), Immunology (160 citations) and Molecular Biology (494 citations). Shan Feng has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Yong‐Bin Yan, Haiteng Deng, Yiyi Gong, Jens Bukh, Ulrik Fahnøe, Judith M. Gottwein, Santseharay Ramírez, Tong‐Jin Zhao, Long V. Pham and Hai‐Meng Zhou. Their work appears in journals such as Nature Communications, Food Research International, The International Journal of Biochemistry & Cell Biology, Angewandte Chemie International Edition and Protein Expression and Purification.
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.