D S Pisetsky
- Immunology top 5%
- T-cell and B-cell Immunology 14
- Immunotherapy and Immune Responses 5
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research 14
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- Monoclonal and Polyclonal Antibodies Research 17
- Hematology top 10%
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- Viral Infections and Immunology Research 3
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- Blood properties and coagulation 2
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- Bacteriophages and microbial interactions 2
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- Antimicrobial Resistance in Staphylococcus 2
- Co-authors
- Dennis G. KarounosJ P GrudierGary S. GilkesonWilliam ShergyD D BloomSandra ClarkeMark J. ShlomchikJ. Brice Weinberg
- Partner nations
- United StatesSwedenMalaysia
In The Last Decade
D S Pisetsky
29 papers receiving 964 citations
Peers
Comparison fields: 5 of 76
- Immunology 692
- Rheumatology 378
- Radiology, Nuclear Medicine and Imaging 450
- Hematology 71
- Immunology and Allergy 33
Countries citing papers authored by D S Pisetsky
This map shows the geographic impact of D S Pisetsky'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 D S Pisetsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D S Pisetsky more than expected).
Fields of papers citing papers by D S Pisetsky
This network shows the impact of papers produced by D S Pisetsky. 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 D S Pisetsky. The network helps show where D S Pisetsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D S Pisetsky, 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 | 2012 | 52 | |
| 2 | 1997 | 27 | |
| 3 | 1997 | 30 | |
| 4 | Modulation of anti-DNA production and renal disease in preimmune NZB/W mice by bacterial DNA immunization | 1995 | 3 |
| 5 | 1994 | 61 | |
| 6 | 1993 | 43 | |
| 7 | 1993 | 74 | |
| 8 | Serum immunoglobulin levels in systemic lupus erythematosus: the effects of age, sex, race and disease duration. | 1991 | 5 |
| 9 | 1990 | 25 | |
| 10 | Selective recognition of DNA antigenic determinants by murine monoclonal anti-DNA antibodies. | 1990 | 11 |
| 11 | 1988 | 69 | |
| 12 | The relationship of anticardiolipin antibodies to disease manifestations in pediatric systemic lupus erythematosus. | 1988 | 64 |
| 13 | 1986 | 91 | |
| 14 | The intravenous insulin tolerance test in type I diabetes. | 1986 | 3 |
| 15 | 1985 | 45 | |
| 16 | 1982 | 7 | |
| 17 | 1981 | 3 | |
| 18 | Control of the anti-dna antibody response by the lpr gene. Abstr. | 1981 | 1 |
| 19 | 1978 | 11 | |
| 20 | 1978 | 22 |
About D S Pisetsky
D S Pisetsky is a scholar working on Immunology, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 996 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (17 papers), Systemic Lupus Erythematosus Research (14 papers), T-cell and B-cell Immunology (14 papers), Immunotherapy and Immune Responses (5 papers), Viral Infections and Immunology Research (3 papers), Blood properties and coagulation (2 papers), Bacteriophages and microbial interactions (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). The work is most often cited by research in Immunology (692 citations), Rheumatology (378 citations) and Radiology, Nuclear Medicine and Imaging (450 citations). D S Pisetsky has collaborated with scholars based in United States, Sweden and Malaysia. Frequent co-authors include Dennis G. Karounos, J P Grudier, Gary S. Gilkeson, William Shergy, D D Bloom, Sandra Clarke, Mark J. Shlomchik, J. Brice Weinberg, Julie Gauley and Anirudh J. Ullal.
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.