David Peritt

2.6k citations
34 papers · 2.1k · h-index 19

Impact in

  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • IL-33, ST2, and ILC Pathways
    • Reproductive System and Pregnancy
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Immune Cell Function and Interaction 16
    • Immunotherapy and Immune Responses 9
    • T-cell and B-cell Immunology 8
    • Immune Response and Inflammation 6
    • IL-33, ST2, and ILC Pathways 5
    • Cytokine Signaling Pathways and Interactions 3

David Peritt

34 papers receiving 2.1k citations

Peers

David Peritt
Comparison fields: 5 of 92
  • Immunology 1.5k
  • Hematology 279
  • Dermatology 175
  • Immunology and Allergy 89
  • Pathology and Forensic Medicine 239
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Citations per field
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Citations per year

Countries citing papers authored by David Peritt

Since Specialization
Citations

This map shows the geographic impact of David Peritt'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 David Peritt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Peritt more than expected).

Fields of papers citing papers by David Peritt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Peritt. 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 David Peritt. The network helps show where David Peritt may publish in the future.

Co-authors

The 25 scholars most cited alongside David Peritt, 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 David Peritt Line = papers co-authored together David Peritt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996277
2 2011254
3
Differentiation of human NK cells into NK1 and NK2 subsets.
1998228
4 1998200
5 2005181
6
Inhibition of cytolytic T lymphocyte proliferation by autologous CD4+/CD25+ regulatory T cells in a colorectal carcinoma patient is mediated by transforming growth factor-beta.
2002148
7 2002108
8 199574
9 200674
10 200872
11 198971
12 200259
13 199755
14 200653
15 199937
16 199835
17 200427
18 199626
19 199422
20 199716

About David Peritt

David Peritt is a scholar working on Immunology, Oncology, Molecular Biology, Immunology and Allergy and Pathology and Forensic Medicine, having authored 34 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (8 papers), Immune Response and Inflammation (6 papers), IL-33, ST2, and ILC Pathways (5 papers), Cell Adhesion Molecules Research (4 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Immunology (1.5k citations), Hematology (279 citations), Dermatology (175 citations), Immunology and Allergy (89 citations) and Pathology and Forensic Medicine (239 citations). David Peritt has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Giorgio Trinchieri, Miguel Aste-Amézaga, Louise C. Showe, Susan Robertson, Giorgia Gri, Franca Gerosa, Thomas Schwarz, David J. Shealy, Agatha Schwarz and C Paganin. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Annals of the New York Academy of Sciences, Journal of Immunological Methods and Blood.

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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