Gregg J. Silverman
- Immunology top 0.2%
- Molecular Biology top 2%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Rheumatology top 0.5%
- Epidemiology top 2%
- Co-authors
- Carl S. GoodyearCaroline GrönwallJoseph L. WitztumMi-Kyung ChangDennis A. CarsonPeter X. ShawWulf PalinskiSohvi Hörkkö
- Topics
- Monoclonal and Polyclonal Antibodies Research (74 papers)T-cell and B-cell Immunology (59 papers)Systemic Lupus Erythematosus Research (37 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
- Molecular Biology 2.9k
- Radiology, Nuclear Medicine and Imaging 2.4k
- Rheumatology 1.8k
- Epidemiology 1.1k
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 of co-authors of Gregg J. Silverman
This figure shows the co-authorship network connecting the top 25 collaborators of Gregg J. Silverman. A scholar is included among the top collaborators of Gregg J. Silverman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gregg J. Silverman. Gregg J. Silverman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 15 | |
| 3 | 33 | |
| 4 | 22 | |
| 5 | Lupus nephritis is linked to disease-activity associated expansions and immunity to a gut commensalbreakdown → | 302 |
| 6 | 49 | |
| 7 | 127 | |
| 8 | 127 | |
| 9 | 97 | |
| 10 | 123 | |
| 11 | 175 | |
| 12 | 22 | |
| 13 | 22 | |
| 14 | 8 | |
| 15 | 91 | |
| 16 | 30 | |
| 17 | 261 | |
| 18 | 250 | |
| 19 | 35 | |
| 20 | 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) and Systemic Lupus Erythematosus Research (37 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.