Randy Shen
Impact in
- Immunology top 5%
- Galectins and Cancer Biology
- Immune Cell Function and Interaction
- Molecular Biology top 10%
- Protein Tyrosine Phosphatases
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- RNA modifications and cancer
Papers in
-
- Protein Tyrosine Phosphatases 7
- Protein Kinase Regulation and GTPase Signaling 3
- Signaling Pathways in Disease 1
- Oncology 6
- Cytokine Signaling Pathways and Interactions 6
- Co-authors
- Gen‐Sheng Feng (8 shared papers)Tony Pawson (3 shared papers)Mark Henkemeyer (1 shared paper)Derrick J. Rossi (1 shared paper)Fouad Shalaby (1 shared paper)Stéphan Gasca (1 shared paper)Tracy M. Saxton (1 shared paper)Dehua Yu (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Molecular and Cellular Biology (2 papers)Yeast (1 paper)The EMBO Journal (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Randy Shen
11 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 65
- Immunology 549
- Molecular Biology 948
- Oncology 363
- Immunology and Allergy 78
- Cancer Research 109
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 | 40 | |
| 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), Fermentation and Sensory Analysis (1 paper), Signaling Pathways in Disease (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Immunology (549 citations), Molecular Biology (948 citations), Oncology (363 citations), Immunology and Allergy (78 citations) and Cancer Research (109 citations). Randy Shen has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Gen‐Sheng Feng, Tony Pawson, Mark Henkemeyer, Derrick J. Rossi, Fouad Shalaby, Stéphan Gasca, Tracy M. Saxton, Dehua Yu, Chunmei Zhao and Cheng‐Kui Qu. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Yeast, The EMBO Journal and The Journal of Immunology.
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.