Jonathan Stevens
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
-
- T-cell and B-cell Immunology 2
- Immunotherapy and Immune Responses 2
-
- vaccines and immunoinformatics approaches 2
- Co-authors
- Michael S. Rooney (2 shared papers)William J. Lane (4 shared papers)Catherine J. Wu (3 shared papers)Nir Hacohen (2 shared papers)Derin B. Keskin (2 shared papers)Wandi Zhang (1 shared paper)Thomas Eisenhaure (1 shared paper)John Sidney (1 shared paper)
- Journals
- Nature Biotechnology (1 paper)Journal of Animal Science (1 paper)Endocrinology (1 paper)Frontiers in Immunology (1 paper)Nature (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Jonathan Stevens
13 papers receiving 1.0k citations
Jonathan Stevens's Hit Papers
Peers
Comparison fields: 5 of 76
- Immunology 584
- Oncology 406
- Aging 22
- Molecular Biology 524
- Radiology, Nuclear Medicine and Imaging 155
Countries citing papers authored by Jonathan Stevens
This map shows the geographic impact of Jonathan Stevens'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 Jonathan Stevens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Stevens more than expected).
Fields of papers citing papers by Jonathan Stevens
This network shows the impact of papers produced by Jonathan Stevens. 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 Jonathan Stevens. The network helps show where Jonathan Stevens may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Stevens, 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 | Mass Spectrometry Profiling of HLA-Associated Peptidomes in Mono-allelic Cells Enables More Accurate Epitope Prediction Hit paper breakdown → | 2017 | 415 |
| 2 | 2015 | 412 | |
| 3 | 2020 | 69 | |
| 4 | 2004 | 37 | |
| 5 | 2007 | 35 | |
| 6 | 2007 | 29 | |
| 7 | 2005 | 24 | |
| 8 | 2000 | 11 | |
| 9 | 2023 | 4 | |
| 10 | 2019 | 4 | |
| 11 | 2004 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2007 | 3 |
About Jonathan Stevens
Jonathan Stevens is a scholar working on Immunology, Molecular Biology, Oncology, Surgery and Hematology, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (2 papers), Hypothalamic control of reproductive hormones (2 papers), Immunotherapy and Immune Responses (2 papers), vaccines and immunoinformatics approaches (2 papers), Cancer Genomics and Diagnostics (1 paper), Ovarian function and disorders (1 paper), Renal Transplantation Outcomes and Treatments (1 paper) and Genetics, Aging, and Longevity in Model Organisms (1 paper). The work is most often cited by research in Immunology (584 citations), Oncology (406 citations), Aging (22 citations), Molecular Biology (524 citations) and Radiology, Nuclear Medicine and Imaging (155 citations). Jonathan Stevens has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Michael S. Rooney, William J. Lane, Catherine J. Wu, Nir Hacohen, Derin B. Keskin, Wandi Zhang, Thomas Eisenhaure, John Sidney, Jennifer G. Abelin and Siranush Sarkizova. Their work appears in journals such as Nature Biotechnology, Journal of Animal Science, Endocrinology, Frontiers in Immunology and Nature.
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.