David Critton
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
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- Protein Tyrosine Phosphatases
- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
- Protein Structure and Dynamics
Papers in
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- Immune Response and Inflammation 5
- Immunotherapy and Immune Responses 3
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- Protein Tyrosine Phosphatases 8
- Protein Kinase Regulation and GTPase Signaling 3
- Protein Structure and Dynamics 1
- Co-authors
- Rebecca Page (6 shared papers)Lutz Tautz (3 shared papers)Stefan Grotegut (1 shared paper)Wolfgang Peti (3 shared papers)Michael J. Ragusa (1 shared paper)Angus C. Nairn (1 shared paper)Barbara Dancheck (1 shared paper)Andrew J. Tebben (1 shared paper)
- Journals
- ACS Medicinal Chemistry Letters (7 papers)Nature Structural & Molecular Biology (2 papers)Journal of Medicinal Chemistry (1 paper)ACS Omega (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
David Critton
18 papers receiving 981 citations
Peers
Comparison fields: 5 of 68
- Oncology 219
- Molecular Biology 498
- Immunology 124
- Cancer Research 43
- Computational Theory and Mathematics 35
Countries citing papers authored by David Critton
This map shows the geographic impact of David Critton'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 David Critton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Critton more than expected).
Fields of papers citing papers by David Critton
This network shows the impact of papers produced by David Critton. 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 David Critton. The network helps show where David Critton may publish in the future.
Co-authors
The 25 scholars most cited alongside David Critton, 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 | 2019 | 328 | |
| 2 | 2010 | 169 | |
| 3 | 2014 | 129 | |
| 4 | 2013 | 126 | |
| 5 | 2010 | 42 | |
| 6 | 2020 | 37 | |
| 7 | 2011 | 32 | |
| 8 | 2008 | 26 | |
| 9 | 2010 | 25 | |
| 10 | 2017 | 24 | |
| 11 | 2019 | 21 | |
| 12 | 2022 | 13 | |
| 13 | 2010 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2025 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2024 | 2 |
About David Critton
David Critton is a scholar working on Immunology, Molecular Biology, Organic Chemistry, Oncology and Pathology and Forensic Medicine, having authored 18 papers that have together received 999 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (8 papers), Immune Response and Inflammation (5 papers), Synthesis and biological activity (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Protein Structure and Dynamics (1 paper) and Synthesis and Biological Evaluation (1 paper). The work is most often cited by research in Oncology (219 citations), Molecular Biology (498 citations), Immunology (124 citations), Cancer Research (43 citations) and Computational Theory and Mathematics (35 citations). David Critton has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Rebecca Page, Lutz Tautz, Stefan Grotegut, Wolfgang Peti, Michael J. Ragusa, Angus C. Nairn, Barbara Dancheck, Andrew J. Tebben, Anne Marinier and Hugo Lavoie. Their work appears in journals such as ACS Medicinal Chemistry Letters, Nature Structural & Molecular Biology, Journal of Medicinal Chemistry, ACS Omega and Nature Communications.
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.