Ken Snoke
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Virology top 10%
- HIV Research and Treatment
Papers in
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- Immunotherapy and Immune Responses 7
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 3
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Jeff Alexander (10 shared papers)Alessandro Sette (6 shared papers)Jörg Ruppert (4 shared papers)Howard M. Grey (4 shared papers)Scott Southwood (2 shared papers)John Sidney (2 shared papers)Carla Oseroff (2 shared papers)Ajesh Maewal (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Chemical immunology/Fortschritte der Allergielehre/Progress in allergy/Chemical immunology and allergy (2 papers)Immunity (1 paper)Annual Review of Immunology (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Ken Snoke
9 papers receiving 942 citations
Peers
Comparison fields: 5 of 70
- Immunology 739
- Virology 62
- Radiology, Nuclear Medicine and Imaging 185
- Immunology and Allergy 40
- Oncology 134
Countries citing papers authored by Ken Snoke
This map shows the geographic impact of Ken Snoke'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 Ken Snoke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Snoke more than expected).
Fields of papers citing papers by Ken Snoke
This network shows the impact of papers produced by Ken Snoke. 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 Ken Snoke. The network helps show where Ken Snoke may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Snoke, 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 | 1994 | 463 | |
| 2 | 1994 | 175 | |
| 3 | 1993 | 163 | |
| 4 | 1994 | 76 | |
| 5 | 1993 | 64 | |
| 6 | 1993 | 32 | |
| 7 | 1994 | 10 | |
| 8 | Antigen analogues as antagonists of the T cell receptor. | 1993 | 5 |
| 9 | 1994 | 5 | |
| 10 | 2015 | 0 |
About Ken Snoke
Ken Snoke is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Oncology, Immunology and Allergy and Organic Chemistry, having authored 10 papers that have together received 993 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and B-cell Immunology (3 papers), Synthesis and Biological Evaluation (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Influenza Virus Research Studies (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Immunology (739 citations), Virology (62 citations), Radiology, Nuclear Medicine and Imaging (185 citations), Immunology and Allergy (40 citations) and Oncology (134 citations). Ken Snoke has collaborated with scholars based in United States and Italy. Frequent co-authors include Jeff Alexander, Alessandro Sette, Jörg Ruppert, Howard M. Grey, Scott Southwood, John Sidney, Carla Oseroff, Ajesh Maewal, Ralph T. Kubo and Horacio Marcelo Serra. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Chemical immunology/Fortschritte der Allergielehre/Progress in allergy/Chemical immunology and allergy, Immunity and Annual Review of Immunology.
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.