David Wildes
Impact in
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- Peptidase Inhibition and Analysis
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- Protein Structure and Dynamics
- Protein Tyrosine Phosphatases
- Protein Kinase Regulation and GTPase Signaling
- RNA and protein synthesis mechanisms
Papers in
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- Protein Tyrosine Phosphatases 8
- Signaling Pathways in Disease 7
- Ubiquitin and proteasome pathways 6
- Protein Structure and Dynamics 4
- Biochemical and Molecular Research 4
- Oncology 9
- Peptidase Inhibition and Analysis 6
- Co-authors
- James A. Wells (1 shared paper)Susan Marqusee (4 shared papers)Jacqueline A.M. Smith (14 shared papers)Mallika Singh (17 shared papers)Adrian L. Gill (12 shared papers)Elena S. Koltun (11 shared papers)Christopher J. Schulze (7 shared papers)Mark A. Goldsmith (5 shared papers)
- Journals
- Cancer Research (14 papers)European Journal of Cancer (3 papers)Protein Science (3 papers)Molecular Cancer Therapeutics (2 papers)Cancer Immunology Research (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
David Wildes
27 papers receiving 465 citations
Peers
Comparison fields: 5 of 69
- Oncology 153
- Molecular Biology 354
- Spectroscopy 69
- Immunology 74
- Cancer Research 35
Countries citing papers authored by David Wildes
This map shows the geographic impact of David Wildes'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 Wildes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Wildes more than expected).
Fields of papers citing papers by David Wildes
This network shows the impact of papers produced by David Wildes. 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 Wildes. The network helps show where David Wildes may publish in the future.
Co-authors
The 25 scholars most cited alongside David Wildes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 99 | |
| 2 | 2020 | 69 | |
| 3 | 2006 | 43 | |
| 4 | 2020 | 37 | |
| 5 | 2004 | 31 | |
| 6 | 2006 | 28 | |
| 7 | 2022 | 28 | |
| 8 | 2022 | 27 | |
| 9 | 2022 | 24 | |
| 10 | 2004 | 19 | |
| 11 | 2019 | 15 | |
| 12 | 2021 | 12 | |
| 13 | 2024 | 12 | |
| 14 | 2022 | 10 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 1988 | 2 | |
| 18 | 2020 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2018 | 1 |
About David Wildes
David Wildes is a scholar working on Molecular Biology, Oncology, Biotechnology, Cancer Research and Spectroscopy, having authored 29 papers that have together received 473 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (8 papers), Signaling Pathways in Disease (7 papers), Ubiquitin and proteasome pathways (6 papers), Peptidase Inhibition and Analysis (6 papers), Cancer Research and Treatments (5 papers), Protein Structure and Dynamics (4 papers), Biochemical and Molecular Research (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Oncology (153 citations), Molecular Biology (354 citations), Spectroscopy (69 citations), Immunology (74 citations) and Cancer Research (35 citations). David Wildes has collaborated with scholars based in United States and France. Frequent co-authors include James A. Wells, Susan Marqusee, Jacqueline A.M. Smith, Mallika Singh, Adrian L. Gill, Elena S. Koltun, Christopher J. Schulze, Mark A. Goldsmith, Elsa Quintana and Tiffany J. Choy. Their work appears in journals such as Cancer Research, European Journal of Cancer, Protein Science, Molecular Cancer Therapeutics and Cancer Immunology Research.
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.