GJ Silverman
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunodeficiency and Autoimmune Disorders
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Monoclonal and Polyclonal Antibodies Research 10
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- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 3
- Immunodeficiency and Autoimmune Disorders 2
- Co-authors
- Mart MannikEric H. SassoMinoru SasanoJean RoudierJ P BouvetLE SilbersteinW. PruzanskiJ Goldman
- Journals
- The Journal of Immunology (5 papers)Blood (3 papers)Annals of the Rheumatic Diseases (2 papers)Journal of Clinical Investigation (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesSwedenFrance
In The Last Decade
GJ Silverman
15 papers receiving 735 citations
Peers
Comparison fields: 5 of 54
- Immunology 456
- Radiology, Nuclear Medicine and Imaging 441
- Genetics 110
- Hematology 111
- Virology 28
Countries citing papers authored by GJ Silverman
This map shows the geographic impact of GJ 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 GJ Silverman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites GJ Silverman more than expected).
Fields of papers citing papers by GJ Silverman
This network shows the impact of papers produced by GJ 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 GJ Silverman. The network helps show where GJ Silverman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside GJ 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 | 2020 | 1 | |
| 2 | 2017 | 3 | |
| 3 | 2008 | 1 | |
| 4 | Secretion of BAFF by fibroblast-like synoviocytes from rheumatoid arthritis biopsies attenuates B-cell depletion by rituximab | 2005 | 5 |
| 5 | In vivo VH targeted B-cell apoptotic deletion in nice and non-human primates | 2002 | 1 |
| 6 | 1996 | 41 | |
| 7 | 1996 | 20 | |
| 8 | 1995 | 48 | |
| 9 | 1995 | 96 | |
| 10 | 1993 | 70 | |
| 11 | 1991 | 20 | |
| 12 | 1991 | 17 | |
| 13 | 1991 | 188 | |
| 14 | 1991 | 185 | |
| 15 | 1990 | 52 |
About GJ Silverman
GJ Silverman is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Genetics, Behavioral Neuroscience and Hematology, having authored 15 papers that have together received 748 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), T-cell and B-cell Immunology (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Immune Cell Function and Interaction (3 papers), Glycosylation and Glycoproteins Research (2 papers), Biochemical and Structural Characterization (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Immunology (456 citations), Radiology, Nuclear Medicine and Imaging (441 citations), Genetics (110 citations), Hematology (111 citations) and Virology (28 citations). GJ Silverman has collaborated with scholars based in United States, Sweden and France. Frequent co-authors include Mart Mannik, Eric H. Sasso, Minoru Sasano, Jean Roudier, J P Bouvet, LE Silberstein, W. Pruzanski, J Goldman, D. Roelcke and PC Nowell. Their work appears in journals such as The Journal of Immunology, Blood, Annals of the Rheumatic Diseases, Journal of Clinical Investigation and Proceedings of the National Academy of Sciences.
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.