D S Pisetsky

40 total papers · 1.2k total citations
30 papers, 996 citations indexed

About

D S Pisetsky is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Rheumatology. According to data from OpenAlex, D S Pisetsky has authored 30 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 17 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Rheumatology. Recurrent topics in D S Pisetsky's work include Monoclonal and Polyclonal Antibodies Research (17 papers), Systemic Lupus Erythematosus Research (14 papers) and T-cell and B-cell Immunology (14 papers). D S Pisetsky is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (17 papers), Systemic Lupus Erythematosus Research (14 papers) and T-cell and B-cell Immunology (14 papers). D S Pisetsky collaborates with scholars based in United States, Sweden and Malaysia. D S Pisetsky's co-authors include J P Grudier, Dennis G. Karounos, Gary S. Gilkeson, William Shergy, Sandra Clarke, D D Bloom, Mark J. Shlomchik, J. Brice Weinberg, Julie Gauley and Anirudh J. Ullal and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.

In The Last Decade

D S Pisetsky

29 papers receiving 964 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
D S Pisetsky 692 450 378 224 82 30 996
Jane E. Salmon 608 0.9× 511 1.1× 355 0.9× 280 1.3× 83 1.0× 19 1.1k
Betty Diamond 770 1.1× 558 1.2× 302 0.8× 159 0.7× 63 0.8× 19 978
H Dang 571 0.8× 340 0.8× 200 0.5× 265 1.2× 118 1.4× 28 1.0k
Katsuaki Itakura 428 0.6× 227 0.5× 196 0.5× 311 1.4× 104 1.3× 37 985
J B Harley 580 0.8× 276 0.6× 685 1.8× 147 0.7× 132 1.6× 23 1.1k
C L Christian 538 0.8× 355 0.8× 566 1.5× 152 0.7× 89 1.1× 33 1.2k
Fanny Monneaux 811 1.2× 268 0.6× 461 1.2× 272 1.2× 64 0.8× 37 1.2k
A.H.L. Fielder 601 0.9× 184 0.4× 393 1.0× 125 0.6× 99 1.2× 23 894
Kamal K. Mittal 494 0.7× 185 0.4× 338 0.9× 119 0.5× 96 1.2× 45 1.2k
F. C. Breedveld 438 0.6× 197 0.4× 517 1.4× 246 1.1× 48 0.6× 34 1.1k

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 of co-authors of D S Pisetsky

This figure shows the co-authorship network connecting the top 25 collaborators of D S Pisetsky. A scholar is included among the top collaborators of D S Pisetsky 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 D S Pisetsky. D S Pisetsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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