D S Pisetsky

1.2k citations
30 papers · 996 indexed · h-index 19

D S Pisetsky

29 papers receiving 964 citations

Peers

D S Pisetsky
Comparison fields: 5 of 76
  • Immunology 692
  • Rheumatology 378
  • Radiology, Nuclear Medicine and Imaging 450
  • Hematology 71
  • Immunology and Allergy 33
Replace Ferdinand C. Breedveld with:
Ferdinand C. Breedveld Netherlands
Peter J. Norsworthy United Kingdom
Anupama Ahuja United States
A. Bootello Spain
Angela C. Horsfall United Kingdom
Qingyu Cheng Germany
C Bindon United Kingdom
Jonathan Shupe United States
Sumi Scott United States
D S Pisetsky relative to Ferdinand C. Breedveld Netherlands Ferdinand C. Breedveld's profile →
Citations per field
00.5×1.5×1.9×
Ferdinand C. Breedveld · 1×
Citations per year

Countries citing papers authored by D S Pisetsky

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with D S Pisetsky Line = papers co-authored together D S Pisetsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201252
2 199727
3 199730
4
Modulation of anti-DNA production and renal disease in preimmune NZB/W mice by bacterial DNA immunization
19953
5 199461
6 199343
7 199374
8
Serum immunoglobulin levels in systemic lupus erythematosus: the effects of age, sex, race and disease duration.
19915
9 199025
10
Selective recognition of DNA antigenic determinants by murine monoclonal anti-DNA antibodies.
199011
11 198869
12
The relationship of anticardiolipin antibodies to disease manifestations in pediatric systemic lupus erythematosus.
198864
13 198691
14
The intravenous insulin tolerance test in type I diabetes.
19863
15 198545
16 19827
17 19813
18
Control of the anti-dna antibody response by the lpr gene. Abstr.
19811
19 197811
20 197822

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.

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