Steve Burke
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 9
-
- Immunotherapy and Immune Responses 5
- Immune Cell Function and Interaction 2
- Co-authors
- Syd Johnson (10 shared papers)Sergey Gorlatov (8 shared papers)Ezio Bonvini (10 shared papers)Scott Koenig (8 shared papers)Hua Li (6 shared papers)Paul A. Moore (8 shared papers)Ling Huang (5 shared papers)Valentina Ciccarone (5 shared papers)
- Journals
- Blood (3 papers)Cancer Research (2 papers)Clinical Cancer Research (1 paper)Journal of Translational Medicine (1 paper)Immunology (1 paper)
- Partner nations
- United StatesSaudi ArabiaSpain
In The Last Decade
Steve Burke
14 papers receiving 801 citations
Peers
Comparison fields: 5 of 54
- Radiology, Nuclear Medicine and Imaging 493
- Immunology 352
- Oncology 437
- Genetics 77
- Virology 33
Countries citing papers authored by Steve Burke
This map shows the geographic impact of Steve Burke'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 Steve Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Burke more than expected).
Fields of papers citing papers by Steve Burke
This network shows the impact of papers produced by Steve Burke. 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 Steve Burke. The network helps show where Steve Burke may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Burke, 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 | 2011 | 209 | |
| 2 | 2011 | 183 | |
| 3 | 2007 | 119 | |
| 4 | 2015 | 117 | |
| 5 | 2006 | 70 | |
| 6 | 2016 | 59 | |
| 7 | 2005 | 35 | |
| 8 | 2022 | 12 | |
| 9 | 2014 | 9 | |
| 10 | 2023 | 6 | |
| 11 | 2014 | 6 | |
| 12 | 2014 | 5 | |
| 13 | 2024 | 1 | |
| 14 | 2010 | 1 | |
| 15 | Protecting Puget Sound from CSOs by retrofitting Urban Neighborhoods with Green Stormwater Infrastructure | 2016 | 0 |
About Steve Burke
Steve Burke is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Oncology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 832 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), CAR-T cell therapy research (6 papers), Immunotherapy and Immune Responses (5 papers), Cardiovascular Effects of Exercise (2 papers), Muscle Physiology and Disorders (2 papers), Immune Cell Function and Interaction (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (493 citations), Immunology (352 citations), Oncology (437 citations), Genetics (77 citations) and Virology (33 citations). Steve Burke has collaborated with scholars based in United States, Saudi Arabia and Spain. Frequent co-authors include Syd Johnson, Sergey Gorlatov, Ezio Bonvini, Scott Koenig, Hua Li, Paul A. Moore, Ling Huang, Valentina Ciccarone, Jeffrey B. Stavenhagen and Yinhua Yang. Their work appears in journals such as Blood, Cancer Research, Clinical Cancer Research, Journal of Translational Medicine and 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.