Jonathan Shupe
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- interferon and immune responses
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research
Papers in
-
- T-cell and B-cell Immunology 3
- Immune Response and Inflammation 3
- Immunotherapy and Immune Responses 1
-
- Systemic Lupus Erythematosus Research 2
- Co-authors
- Mark J. Shlomchik (4 shared papers)Michael Kashgarian (3 shared papers)Sean R. Christensen (3 shared papers)Kevin M. Nickerson (2 shared papers)Richard A. Flavell (1 shared paper)Keith B. Elkon (1 shared paper)Daniel H. Kim (1 shared paper)Robert R. Dunn (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)Immunity (1 paper)PLoS Pathogens (1 paper)Autoimmunity (1 paper)
- Partner nations
- United StatesColombia
In The Last Decade
Jonathan Shupe
5 papers receiving 1.4k citations
Jonathan Shupe's Hit Papers
Peers
Comparison fields: 5 of 68
- Immunology 1.2k
- Rheumatology 441
- Parasitology 75
- Radiology, Nuclear Medicine and Imaging 136
- Microbiology 29
Countries citing papers authored by Jonathan Shupe
This map shows the geographic impact of Jonathan Shupe'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 Shupe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Shupe more than expected).
Fields of papers citing papers by Jonathan Shupe
This network shows the impact of papers produced by Jonathan Shupe. 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 Shupe. The network helps show where Jonathan Shupe may publish in the future.
Co-authors
The 17 scholars most cited alongside Jonathan Shupe, 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 | Toll-like Receptor 7 and TLR9 Dictate Autoantibody Specificity and Have Opposing Inflammatory and Regulatory Roles in a Murine Model of Lupus Hit paper breakdown → | 2006 | 846 |
| 2 | 2010 | 269 | |
| 3 | 2007 | 205 | |
| 4 | 2009 | 124 | |
| 5 | 2010 | 36 |
About Jonathan Shupe
Jonathan Shupe is a scholar working on Immunology, Rheumatology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 5 papers that have together received 1.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Response and Inflammation (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Systemic Lupus Erythematosus Research (2 papers), Viral Infections and Immunology Research (1 paper), Immunotherapy and Immune Responses (1 paper), Vector-borne infectious diseases (1 paper) and Viral Infections and Vectors (1 paper). The work is most often cited by research in Immunology (1.2k citations), Rheumatology (441 citations), Parasitology (75 citations), Radiology, Nuclear Medicine and Imaging (136 citations) and Microbiology (29 citations). Jonathan Shupe has collaborated with scholars based in United States and Colombia. Frequent co-authors include Mark J. Shlomchik, Michael Kashgarian, Sean R. Christensen, Kevin M. Nickerson, Richard A. Flavell, Keith B. Elkon, Daniel H. Kim, Robert R. Dunn, Anupama Ahuja and Marilyn R. Kehry. Their work appears in journals such as The Journal of Immunology, Immunity, PLoS Pathogens and Autoimmunity.
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.