Gregg J. Silverman
- Immunology top 0.2%
- T-cell and B-cell Immunology 59
- Immune Cell Function and Interaction 35
- Immunotherapy and Immune Responses 16
- Atherosclerosis and Cardiovascular Diseases 15
- Rheumatology top 0.5%
- Systemic Lupus Erythematosus Research 37
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- Monoclonal and Polyclonal Antibodies Research 74
- Immunology and Allergy top 1%
- Genetics top 1%
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- Cellular Mechanics and Interactions 19
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- Slime Mold and Myxomycetes Research 16
- Co-authors
- Carl S. GoodyearCaroline GrönwallJoseph L. WitztumMi-Kyung ChangDennis A. CarsonPeter X. ShawWulf PalinskiSohvi Hörkkö
- Journals
- Science (2 papers)Proceedings of the National Academy of Sciences (5 papers)Journal of Clinical Investigation (7 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Gregg J. Silverman
184 papers receiving 10.6k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Immunology 6.5k
- Rheumatology 1.8k
- Radiology, Nuclear Medicine and Imaging 2.4k
- Immunology and Allergy 532
- Genetics 780
Countries citing papers authored by Gregg J. Silverman
This map shows the geographic impact of Gregg J. Silverman'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 Gregg J. Silverman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregg J. Silverman more than expected).
Fields of papers citing papers by Gregg J. Silverman
This network shows the impact of papers produced by Gregg J. Silverman. 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 Gregg J. Silverman. The network helps show where Gregg J. Silverman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gregg J. Silverman, 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 | 2024 | 2 | |
| 2 | 2024 | 15 | |
| 3 | 2023 | 33 | |
| 4 | 2021 | 22 | |
| 5 | Lupus nephritis is linked to disease-activity associated expansions and immunity to a gut commensalbreakdown → | 2019 | 302 |
| 6 | 2017 | 49 | |
| 7 | 2011 | 127 | |
| 8 | 2009 | 127 | |
| 9 | 2009 | 97 | |
| 10 | 2009 | 123 | |
| 11 | 2009 | 175 | |
| 12 | 2007 | 22 | |
| 13 | 2006 | 22 | |
| 14 | 2003 | 8 | |
| 15 | 2003 | 91 | |
| 16 | 2002 | 30 | |
| 17 | 2001 | 261 | |
| 18 | 2001 | 250 | |
| 19 | 2000 | 35 | |
| 20 | 1988 | 86 |
About Gregg J. Silverman
Gregg J. Silverman is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Rheumatology, having authored 191 papers that have together received 10.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (74 papers), T-cell and B-cell Immunology (59 papers), Systemic Lupus Erythematosus Research (37 papers), Immune Cell Function and Interaction (35 papers), Cellular Mechanics and Interactions (19 papers), Immunotherapy and Immune Responses (16 papers), Slime Mold and Myxomycetes Research (16 papers) and Atherosclerosis and Cardiovascular Diseases (15 papers). The work is most often cited by research in Immunology (6.5k citations), Rheumatology (1.8k citations) and Radiology, Nuclear Medicine and Imaging (2.4k citations). Gregg J. Silverman has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Carl S. Goodyear, Caroline Grönwall, Joseph L. Witztum, Mi-Kyung Chang, Dennis A. Carson, Peter X. Shaw, Wulf Palinski, Sohvi Hörkkö, Christoph J. Binder and Jaya Vas. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.