Patrick S. Burke
Impact in
- Virology top 5%
- HIV Research and Treatment
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Reproductive System and Pregnancy
Papers in
-
- Signaling Pathways in Disease 1
-
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 3
- Co-authors
- Xu G. Yu (5 shared papers)Jinghe Huang (5 shared papers)Mathias Lichterfeld (5 shared papers)Thai Cung (4 shared papers)Florencia Pereyra (3 shared papers)Bruce D. Walker (2 shared papers)Yue Yang (3 shared papers)Katherine Seiss (3 shared papers)
- Journals
- BMC Neuroscience (2 papers)Journal of Virology (2 papers)Gene (1 paper)American Journal of Roentgenology (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesSaudi ArabiaFrance
In The Last Decade
Patrick S. Burke
12 papers receiving 485 citations
Peers
Comparison fields: 5 of 59
- Virology 207
- Immunology 257
- Infectious Diseases 84
- Cancer Research 34
- Rheumatology 31
Countries citing papers authored by Patrick S. Burke
This map shows the geographic impact of Patrick S. 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 Patrick S. Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick S. Burke more than expected).
Fields of papers citing papers by Patrick S. Burke
This network shows the impact of papers produced by Patrick S. 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 Patrick S. Burke. The network helps show where Patrick S. Burke may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick S. 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 | 137 | |
| 2 | 2010 | 70 | |
| 3 | 2016 | 65 | |
| 4 | 2009 | 57 | |
| 5 | 2010 | 43 | |
| 6 | 2015 | 39 | |
| 7 | 2011 | 26 | |
| 8 | 1992 | 24 | |
| 9 | 2012 | 14 | |
| 10 | 2015 | 6 | |
| 11 | 1994 | 4 | |
| 12 | 1994 | 2 |
About Patrick S. Burke
Patrick S. Burke is a scholar working on Molecular Biology, Immunology, Virology, Pediatrics, Perinatology and Child Health and Cancer Research, having authored 12 papers that have together received 487 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), HIV Research and Treatment (4 papers), Immunotherapy and Immune Responses (3 papers), Signaling Pathways in Disease (1 paper), Cancer Genomics and Diagnostics (1 paper), Cytomegalovirus and herpesvirus research (1 paper), MicroRNA in disease regulation (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Virology (207 citations), Immunology (257 citations), Infectious Diseases (84 citations), Cancer Research (34 citations) and Rheumatology (31 citations). Patrick S. Burke has collaborated with scholars based in United States, Saudi Arabia and France. Frequent co-authors include Xu G. Yu, Jinghe Huang, Mathias Lichterfeld, Thai Cung, Florencia Pereyra, Bruce D. Walker, Yue Yang, Katherine Seiss, Debra J. Wolgemuth and Eric Rosenberg. Their work appears in journals such as BMC Neuroscience, Journal of Virology, Gene, American Journal of Roentgenology and The Journal of Experimental Medicine.
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.