David B. Stagg
Impact in
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- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
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- Peptidase Inhibition and Analysis
Papers in
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- Protein Degradation and Inhibitors 2
- Metabolomics and Mass Spectrometry Studies 2
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- Diet and metabolism studies 5
- Adipose Tissue and Metabolism 3
- Co-authors
- John D. Norris (4 shared papers)Donald P. McDonnell (4 shared papers)Dennis L. Buckley (2 shared papers)John Hines (2 shared papers)Hyun Seop Tae (2 shared papers)Thomas B. Sundberg (2 shared papers)Anke G. Roth (2 shared papers)Taavi K. Neklesa (2 shared papers)
- Journals
- Journal of Clinical Investigation (2 papers)American Journal of Physiology-Endocrinology and Metabolism (1 paper)Talanta (1 paper)Science Advances (1 paper)Nature Chemical Biology (1 paper)
- Partner nations
- United StatesIndiaRussia
In The Last Decade
David B. Stagg
10 papers receiving 325 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 220
- Oncology 82
- Endocrinology, Diabetes and Metabolism 49
- Physiology 66
- Cancer Research 37
Countries citing papers authored by David B. Stagg
This map shows the geographic impact of David B. Stagg'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 B. Stagg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David B. Stagg more than expected).
Fields of papers citing papers by David B. Stagg
This network shows the impact of papers produced by David B. Stagg. 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 B. Stagg. The network helps show where David B. Stagg may publish in the future.
Co-authors
The 25 scholars most cited alongside David B. Stagg, 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 | 2015 | 165 | |
| 2 | 2017 | 38 | |
| 3 | 2020 | 30 | |
| 4 | 2021 | 26 | |
| 5 | 2015 | 25 | |
| 6 | 2022 | 18 | |
| 7 | 2016 | 16 | |
| 8 | 2022 | 7 | |
| 9 | 2025 | 6 | |
| 10 | 2025 | 1 |
About David B. Stagg
David B. Stagg is a scholar working on Molecular Biology, Physiology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 10 papers that have together received 332 indexed citations. Recurring topics across this work include Diet and metabolism studies (5 papers), Prostate Cancer Treatment and Research (4 papers), Diet, Metabolism, and Disease (3 papers), Adipose Tissue and Metabolism (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Protein Degradation and Inhibitors (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Molecular Biology (220 citations), Oncology (82 citations), Endocrinology, Diabetes and Metabolism (49 citations), Physiology (66 citations) and Cancer Research (37 citations). David B. Stagg has collaborated with scholars based in United States, India and Russia. Frequent co-authors include John D. Norris, Donald P. McDonnell, Dennis L. Buckley, John Hines, Hyun Seop Tae, Thomas B. Sundberg, Anke G. Roth, Taavi K. Neklesa, Jeffrey L. Gustafson and Craig M. Crews. Their work appears in journals such as Journal of Clinical Investigation, American Journal of Physiology-Endocrinology and Metabolism, Talanta, Science Advances and Nature Chemical 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.