Bryan S. Stephens
Impact in
- Oncology top 10%
- Chemokine receptors and signaling
- Immunology top 10%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
-
- Receptor Mechanisms and Signaling 6
- Glycosylation and Glycoproteins Research 4
- Protein Degradation and Inhibitors 1
- Advanced Biosensing Techniques and Applications 1
- Oncology 9
- Chemokine receptors and signaling 9
- Co-authors
- Tracy M. Handel (10 shared papers)Irina Kufareva (9 shared papers)Martin Gustavsson (3 shared papers)Ruben Abagyan (5 shared papers)Yi Zheng (1 shared paper)Lauren G. Holden (2 shared papers)Tony Ngo (2 shared papers)Tetsuya Kawamura (2 shared papers)
- Journals
- Science Signaling (2 papers)PLoS Biology (1 paper)Nature Communications (1 paper)Cell Reports (1 paper)Annual Review of Biophysics (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Bryan S. Stephens
11 papers receiving 500 citations
Peers
Comparison fields: 5 of 67
- Oncology 314
- Immunology 224
- Radiology, Nuclear Medicine and Imaging 141
- Molecular Biology 312
- Immunology and Allergy 22
Countries citing papers authored by Bryan S. Stephens
This map shows the geographic impact of Bryan S. Stephens'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 Bryan S. Stephens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan S. Stephens more than expected).
Fields of papers citing papers by Bryan S. Stephens
This network shows the impact of papers produced by Bryan S. Stephens. 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 Bryan S. Stephens. The network helps show where Bryan S. Stephens may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan S. Stephens, 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 | 2017 | 79 | |
| 2 | 2017 | 71 | |
| 3 | 2017 | 71 | |
| 4 | 2014 | 59 | |
| 5 | 2013 | 48 | |
| 6 | 2013 | 45 | |
| 7 | 2018 | 42 | |
| 8 | 2020 | 28 | |
| 9 | 2020 | 26 | |
| 10 | 2014 | 22 | |
| 11 | 2013 | 13 |
About Bryan S. Stephens
Bryan S. Stephens is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Infectious Diseases, having authored 11 papers that have together received 504 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (9 papers), Receptor Mechanisms and Signaling (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (2 papers), Protein Degradation and Inhibitors (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). The work is most often cited by research in Oncology (314 citations), Immunology (224 citations), Radiology, Nuclear Medicine and Imaging (141 citations), Molecular Biology (312 citations) and Immunology and Allergy (22 citations). Bryan S. Stephens has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Tracy M. Handel, Irina Kufareva, Martin Gustavsson, Ruben Abagyan, Yi Zheng, Lauren G. Holden, Tony Ngo, Tetsuya Kawamura, Ling Qin and Brian F. Volkman. Their work appears in journals such as Science Signaling, PLoS Biology, Nature Communications, Cell Reports and Annual Review of Biophysics.
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.