Gerald Gish
- Immunology and Allergy top 0.5%
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics 6
- Molecular Biology top 1%
- Protein Kinase Regulation and GTPase Signaling 19
- Ubiquitin and proteasome pathways 10
- Protein Tyrosine Phosphatases 8
- Glycosylation and Glycoproteins Research 7
- PI3K/AKT/mTOR signaling in cancer 5
- Immunology top 2%
- Oncology top 2%
- Viral-associated cancers and disorders 5
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- Monoclonal and Polyclonal Antibodies Research 13
- Co-authors
- Tony PawsonFrauke AlvesWolfgang F. VogelFritz EcksteinRobert J. InghamZhou SongyangPiers NashPeter van der Geer
- Journals
- Journal of Biological Chemistry (12 papers)Cell (7 papers)Proceedings of the National Academy of Sciences (7 papers)
- Partner nations
- CanadaUnited StatesSweden
In The Last Decade
Gerald Gish
77 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Immunology and Allergy 928
- Cell Biology 1.5k
- Molecular Biology 5.4k
- Immunology 1.2k
- Oncology 1.4k
Countries citing papers authored by Gerald Gish
This map shows the geographic impact of Gerald Gish'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 Gerald Gish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Gish more than expected).
Fields of papers citing papers by Gerald Gish
This network shows the impact of papers produced by Gerald Gish. 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 Gerald Gish. The network helps show where Gerald Gish may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerald Gish, 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 | 2023 | 14 | |
| 2 | 2021 | 7 | |
| 3 | 2021 | 39 | |
| 4 | 2020 | 21 | |
| 5 | 2015 | 183 | |
| 6 | 2014 | 20 | |
| 7 | 2012 | 4 | |
| 8 | 2008 | 156 | |
| 9 | 2005 | 50 | |
| 10 | 2003 | 44 | |
| 11 | 2003 | 211 | |
| 12 | 2001 | 295 | |
| 13 | 1997 | 107 | |
| 14 | 1996 | 202 | |
| 15 | 1996 | 14 | |
| 16 | 1995 | 51 | |
| 17 | 1995 | 61 | |
| 18 | 1995 | 161 | |
| 19 | 1994 | 152 | |
| 20 | SH2 and SH3 domains: From structure to functionbreakdown → | 1992 | 873 |
About Gerald Gish
Gerald Gish is a scholar working on Molecular Biology, Biochemistry, Cell Biology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 77 papers that have together received 7.8k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (19 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Ubiquitin and proteasome pathways (10 papers), Protein Tyrosine Phosphatases (8 papers), Glycosylation and Glycoproteins Research (7 papers), Microtubule and mitosis dynamics (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers) and Viral-associated cancers and disorders (5 papers). The work is most often cited by research in Immunology and Allergy (928 citations), Cell Biology (1.5k citations), Molecular Biology (5.4k citations), Immunology (1.2k citations) and Oncology (1.4k citations). Gerald Gish has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Tony Pawson, Frauke Alves, Wolfgang F. Vogel, Fritz Eckstein, Robert J. Ingham, Zhou Songyang, Piers Nash, Peter van der Geer, Sandra E. Wiley and Mark Henkemeyer. Their work appears in journals such as Journal of Biological Chemistry, Cell, Proceedings of the National Academy of Sciences, Molecular Cell and Current Biology.
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.