G Gish
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Protein Kinase Regulation and GTPase Signaling
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 5
- PI3K/AKT/mTOR signaling in cancer 4
- Protein Structure and Dynamics 2
- Protein Tyrosine Phosphatases 2
- Chemical Synthesis and Analysis 1
- Co-authors
- Tony PawsonSteven E. ShoelsonJulie D. Forman‐KayAlex U. SingerRanjith MuhandiramNeil A. FarrowLewis E. KaySteven M. Pascal
- Journals
- The EMBO Journal (2 papers)Molecular and Cellular Biology (2 papers)Biochemistry (1 paper)Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
G Gish
9 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 2.2k
- Hematology 314
- Cell Biology 331
- Genetics 214
- Spectroscopy 297
Countries citing papers authored by G Gish
This map shows the geographic impact of G 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 G Gish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Gish more than expected).
Fields of papers citing papers by G Gish
This network shows the impact of papers produced by G 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 G Gish. The network helps show where G Gish may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G 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 | 2010 | 11 | |
| 2 | 1996 | 122 | |
| 3 | 1996 | 94 | |
| 4 | Backbone Dynamics of a Free and a Phosphopeptide-Complexed Src Homology 2 Domain Studied by 15N NMR Relaxation Hit paper breakdown → | 1994 | 1887 |
| 5 | 1994 | 363 | |
| 6 | 1993 | 31 | |
| 7 | Regulation of c-Src tyrosine kinase activity by the Src SH2 domain. | 1993 | 181 |
| 8 | 1993 | 137 | |
| 9 | Identification of residues in the beta platelet-derived growth factor receptor that confer specificity for binding to phospholipase C-gamma 1. | 1993 | 38 |
About G Gish
G Gish is a scholar working on Hematology, Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 9 papers that have together received 2.9k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Protein Structure and Dynamics (2 papers), Protein Tyrosine Phosphatases (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Chemical Synthesis and Analysis (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Advanced NMR Techniques and Applications (1 paper). The work is most often cited by research in Molecular Biology (2.2k citations), Hematology (314 citations), Cell Biology (331 citations), Genetics (214 citations) and Spectroscopy (297 citations). G Gish has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Tony Pawson, Steven E. Shoelson, Julie D. Forman‐Kay, Alex U. Singer, Ranjith Muhandiram, Neil A. Farrow, Lewis E. Kay, Steven M. Pascal, Cyril M. Kay and Geraldine Mbamalu. Their work appears in journals such as The EMBO Journal, Molecular and Cellular Biology, Biochemistry, Proceedings of the National Academy of Sciences and PLoS ONE.
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.