Fumin Shi
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Glycosylation and Glycoproteins Research 2
- Protein Kinase Regulation and GTPase Signaling 2
- Cancer-related gene regulation 1
- Wnt/β-catenin signaling in development and cancer 1
- Protein Degradation and Inhibitors 1
- Melanoma and MAPK Pathways 1
- Oncology 3
- HER2/EGFR in Cancer Research 3
- Co-authors
- Mark A. Lemmon (5 shared papers)Shannon Telesco (1 shared paper)Ravi Radhakrishnan (1 shared paper)Yingting Liu (1 shared paper)Jeannine M. Mendrola (2 shared papers)Jin H. Park (1 shared paper)Steven E. Stayrook (2 shared papers)Daryl E. Klein (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Cell Reports (1 paper)Biochemical Society Transactions (1 paper)Science (1 paper)Nature (1 paper)
- Partner nations
- United StatesRussiaNetherlands
In The Last Decade
Fumin Shi
5 papers receiving 504 citations
Peers
Comparison fields: 5 of 58
- Oncology 244
- Radiology, Nuclear Medicine and Imaging 145
- Immunology and Allergy 27
- Molecular Biology 325
- Cell Biology 74
Countries citing papers authored by Fumin Shi
This map shows the geographic impact of Fumin Shi'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 Fumin Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumin Shi more than expected).
Fields of papers citing papers by Fumin Shi
This network shows the impact of papers produced by Fumin Shi. 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 Fumin Shi. The network helps show where Fumin Shi may publish in the future.
Co-authors
The 16 scholars most cited alongside Fumin Shi, 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 | 2010 | 386 | |
| 2 | 2013 | 63 | |
| 3 | 2008 | 43 | |
| 4 | 2021 | 18 | |
| 5 | 2011 | 5 |
About Fumin Shi
Fumin Shi is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Infectious Diseases, having authored 5 papers that have together received 515 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), NF-κB Signaling Pathways (1 paper), Cancer-related gene regulation (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper), Protein Degradation and Inhibitors (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Oncology (244 citations), Radiology, Nuclear Medicine and Imaging (145 citations), Immunology and Allergy (27 citations), Molecular Biology (325 citations) and Cell Biology (74 citations). Fumin Shi has collaborated with scholars based in United States, Russia and Netherlands. Frequent co-authors include Mark A. Lemmon, Shannon Telesco, Ravi Radhakrishnan, Yingting Liu, Jeannine M. Mendrola, Jin H. Park, Steven E. Stayrook, Daryl E. Klein, Kartik Narayan and Jasprina N. Noordermeer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Reports, Biochemical Society Transactions, Science and Nature.
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.