Randy Shen
Impact in
- Immunology top 5%
- Galectins and Cancer Biology
- Immune Cell Function and Interaction
- Oncology top 10%
- Cytokine Signaling Pathways and Interactions
Papers in
-
- Protein Tyrosine Phosphatases 7
- Protein Kinase Regulation and GTPase Signaling 3
- Oncology 6
- Cytokine Signaling Pathways and Interactions 6
- Co-authors
- Gen‐Sheng Feng (8 shared papers)Tony Pawson (3 shared papers)Derrick J. Rossi (1 shared paper)Mark Henkemeyer (1 shared paper)Fouad Shalaby (1 shared paper)Stéphan Gasca (1 shared paper)Tracy M. Saxton (1 shared paper)Chunmei Zhao (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Molecular and Cellular Biology (2 papers)Current Biology (1 paper)Yeast (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Randy Shen
11 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 65
- Immunology 527
- Oncology 356
- Molecular Biology 939
- Immunology and Allergy 76
- Cancer Research 104
Countries citing papers authored by Randy Shen
This map shows the geographic impact of Randy Shen'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 Randy Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randy Shen more than expected).
Fields of papers citing papers by Randy Shen
This network shows the impact of papers produced by Randy Shen. 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 Randy Shen. The network helps show where Randy Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Randy Shen, 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 | 1997 | 408 | |
| 2 | 1997 | 143 | |
| 3 | 1995 | 124 | |
| 4 | 1999 | 124 | |
| 5 | 2000 | 115 | |
| 6 | 1997 | 109 | |
| 7 | Receptor-binding, tyrosine phosphorylation and chromosome localization of the mouse SH2-containing phosphotyrosine phosphatase Syp. | 1994 | 71 |
| 8 | 2002 | 42 | |
| 9 | 2002 | 17 | |
| 10 | 1995 | 12 | |
| 11 | 1993 | 11 |
About Randy Shen
Randy Shen is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Ecology, Evolution, Behavior and Systematics, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (7 papers), Cytokine Signaling Pathways and Interactions (6 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Galectins and Cancer Biology (2 papers), Immune Cell Function and Interaction (2 papers), NF-κB Signaling Pathways (1 paper), Plant and animal studies (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Immunology (527 citations), Oncology (356 citations), Molecular Biology (939 citations), Immunology and Allergy (76 citations) and Cancer Research (104 citations). Randy Shen has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Gen‐Sheng Feng, Tony Pawson, Derrick J. Rossi, Mark Henkemeyer, Fouad Shalaby, Stéphan Gasca, Tracy M. Saxton, Chunmei Zhao, Dehua Yu and Cheng‐Kui Qu. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Current Biology, Yeast and Methods in enzymology on CD-ROM/Methods in enzymology.
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.