David Peritt
- Immunology top 2%
- 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
- Hematology top 5%
- Dermatology top 5%
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 4
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- Monoclonal and Polyclonal Antibodies Research 3
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- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Giorgio TrinchieriMiguel Aste-AmézagaLouise C. ShoweSusan RobertsonGiorgia GriFranca GerosaThomas SchwarzDavid J. Shealy
- Cited by
- ImmunologyHematologyDermatology
- Journals
- The Journal of Immunology (5 papers)The Journal of Experimental Medicine (3 papers)Annals of the New York Academy of Sciences (3 papers)
- Partner nations
- United StatesIsraelItaly
In The Last Decade
David Peritt
34 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 92
- Immunology 1.5k
- Hematology 279
- Dermatology 175
- Immunology and Allergy 89
- Pathology and Forensic Medicine 239
Countries citing papers authored by David Peritt
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 7 | |
| 2 | 2017 | 8 | |
| 3 | 2015 | 10 | |
| 4 | 2011 | 254 | |
| 5 | 2006 | 53 | |
| 6 | 2006 | 74 | |
| 7 | 2004 | 27 | |
| 8 | 1999 | 37 | |
| 9 | 1998 | 200 | |
| 10 | 1998 | 35 | |
| 11 | 1997 | 55 | |
| 12 | 1996 | 277 | |
| 13 | 1996 | 3 | |
| 14 | 1996 | 26 | |
| 15 | 1996 | 11 | |
| 16 | 1995 | 74 | |
| 17 | 1993 | 5 | |
| 18 | 1993 | 5 | |
| 19 | 1992 | 8 | |
| 20 | 1992 | 11 |
About David Peritt
David Peritt is a scholar working on Immunology, Immunology and Allergy, Oncology, Hematology and Biotechnology, 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), Monoclonal and Polyclonal Antibodies Research (3 papers) and Cytokine Signaling Pathways and Interactions (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 Italy. Frequent co-authors include Giorgio Trinchieri, Miguel Aste-Amézaga, Louise C. Showe, Susan Robertson, Giorgia Gri, Franca Gerosa, Thomas Schwarz, David J. Shealy, C Paganin and Akira Maeda. 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.