Devin J. Noblin
Impact in
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- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- Oncology top 10%
- Peptidase Inhibition and Analysis
Papers in
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- Protein Degradation and Inhibitors 3
- Ubiquitin and proteasome pathways 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Receptor Mechanisms and Signaling 1
- Oncology 2
- Peptidase Inhibition and Analysis 2
- Co-authors
- Craig M. Crews (5 shared papers)Hyun Seop Tae (3 shared papers)Peter C. Gareiss (2 shared papers)Julien Michel (1 shared paper)Dennis L. Buckley (1 shared paper)Alessio Ciulli (1 shared paper)William L. Jorgensen (1 shared paper)Inge Van Molle (1 shared paper)
- Journals
- ACS Chemical Biology (2 papers)ChemBioChem (1 paper)Journal of the American Chemical Society (1 paper)Assay and Drug Development Technologies (1 paper)Nature Chemical Biology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Devin J. Noblin
6 papers receiving 622 citations
Peers
Comparison fields: 5 of 50
- Molecular Biology 568
- Oncology 208
- Hematology 85
- Cell Biology 62
- Cancer Research 36
Countries citing papers authored by Devin J. Noblin
This map shows the geographic impact of Devin J. Noblin'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 Devin J. Noblin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devin J. Noblin more than expected).
Fields of papers citing papers by Devin J. Noblin
This network shows the impact of papers produced by Devin J. Noblin. 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 Devin J. Noblin. The network helps show where Devin J. Noblin may publish in the future.
Co-authors
The 25 scholars most cited alongside Devin J. Noblin, 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 | 2012 | 414 | |
| 2 | 2012 | 84 | |
| 3 | 2014 | 70 | |
| 4 | 2013 | 42 | |
| 5 | 2012 | 11 | |
| 6 | 2012 | 11 |
About Devin J. Noblin
Devin J. Noblin is a scholar working on Molecular Biology, Oncology, Surgery, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 632 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (3 papers), Ubiquitin and proteasome pathways (2 papers), Peptidase Inhibition and Analysis (2 papers), Virus-based gene therapy research (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Receptor Mechanisms and Signaling (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Transgenic Plants and Applications (1 paper). The work is most often cited by research in Molecular Biology (568 citations), Oncology (208 citations), Hematology (85 citations), Cell Biology (62 citations) and Cancer Research (36 citations). Devin J. Noblin has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Craig M. Crews, Hyun Seop Tae, Peter C. Gareiss, Julien Michel, Dennis L. Buckley, Alessio Ciulli, William L. Jorgensen, Inge Van Molle, Kanak Raina and Taavi K. Neklesa. Their work appears in journals such as ACS Chemical Biology, ChemBioChem, Journal of the American Chemical Society, Assay and Drug Development Technologies 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.