David Wildes
Impact in
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- Peptidase Inhibition and Analysis
- Cancer Immunotherapy and Biomarkers
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- Galectins and Cancer Biology
Papers in ⓘ
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- Protein Tyrosine Phosphatases 8
- Signaling Pathways in Disease 7
- Ubiquitin and proteasome pathways 5
- Biochemical and Molecular Research 4
- Oncology 9
- Peptidase Inhibition and Analysis 6
- Co-authors
- James A. Wells (1 shared paper)Mallika Singh (17 shared papers)Jacqueline A.M. Smith (14 shared papers)Elena S. Koltun (11 shared papers)Adrian L. Gill (11 shared papers)Christopher J. Schulze (7 shared papers)Robert J. Nichols (9 shared papers)Elsa Quintana (4 shared papers)
- Journals
- Cancer Research (14 papers)Molecular Cancer Therapeutics (2 papers)European Journal of Cancer (2 papers)Frontiers in Oncology (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United States
In The Last Decade
David Wildes
23 papers receiving 331 citations
Peers
Comparison fields: 5 of 55
- Oncology 156
- Immunology 81
- Molecular Biology 241
- Cancer Research 37
- Spectroscopy 36
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 93 | |
| 2 | 2020 | 69 | |
| 3 | 2020 | 31 | |
| 4 | 2022 | 27 | |
| 5 | 2022 | 26 | |
| 6 | 2022 | 23 | |
| 7 | 2019 | 15 | |
| 8 | 2024 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2022 | 9 | |
| 11 | 2023 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 1988 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2019 | 1 |
About David Wildes
David Wildes is a scholar working on Molecular Biology, Oncology, Biotechnology, Immunology and Cancer Research, having authored 24 papers that have together received 335 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (8 papers), Signaling Pathways in Disease (7 papers), Peptidase Inhibition and Analysis (6 papers), Ubiquitin and proteasome pathways (5 papers), Biochemical and Molecular Research (4 papers), Cancer Research and Treatments (4 papers), Galectins and Cancer Biology (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Oncology (156 citations), Immunology (81 citations), Molecular Biology (241 citations), Cancer Research (37 citations) and Spectroscopy (36 citations). David Wildes has collaborated with scholars based in United States. Frequent co-authors include James A. Wells, Mallika Singh, Jacqueline A.M. Smith, Elena S. Koltun, Adrian L. Gill, Christopher J. Schulze, Robert J. Nichols, Elsa Quintana, Mark A. Goldsmith and Darienne R. Myers. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, European Journal of Cancer, Frontiers in Oncology and Journal of Clinical Oncology.
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.