C Pénit

2.1k citations
47 papers · 1.8k · h-index 25

Impact in

  • Immunology top 2%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
  • Virology top 5%
    • HIV Research and Treatment

Papers in

    • T-cell and B-cell Immunology 21
    • Immunotherapy and Immune Responses 15
    • Immune Cell Function and Interaction 14
    • Viral Infectious Diseases and Gene Expression in Insects 4

C Pénit

47 papers receiving 1.7k citations

Peers

C Pénit
Comparison fields: 5 of 88
  • Immunology 1.3k
  • Virology 91
  • Hematology 127
  • Oncology 279
  • Immunology and Allergy 53
Replace D J Panka with:
D J Panka United States
KA Smith United States
D E Kern United States
S Sawada Japan
Jonathan Sprent United States
Brian E. Castle United States
Mary Anne Talle United States
Michael J. Dauphinée United States
Tetsuya Gatanaga United States
Y Katsura Japan
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Citations per field
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Citations per year

Countries citing papers authored by C Pénit

Since Specialization
Citations

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

Fields of papers citing papers by C Pénit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995210
2 2002121
3 1990114
4 1986112
5 1994101
6 198893
7 197992
8 198991
9 199774
10 199370
11 199769
12 199540
13 200340
14 200138
15 198838
16 199338
17 198935
18 199032
19 199929
20 198728

About C Pénit

C Pénit is a scholar working on Immunology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (21 papers), Immunotherapy and Immune Responses (15 papers), Immune Cell Function and Interaction (14 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), HIV Research and Treatment (4 papers), CAR-T cell therapy research (4 papers), HIV/AIDS drug development and treatment (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). The work is most often cited by research in Immunology (1.3k citations), Virology (91 citations), Hematology (127 citations), Oncology (279 citations) and Immunology and Allergy (53 citations). C Pénit has collaborated with scholars based in France, Morocco and Tunisia. Frequent co-authors include Florence Vasseur, Bruno Lucas, Armelle Le Campion, Nicole Dautigny, Christophe Baron, Pierre Rouget, Bénédita Rocha, M Papiernik, Martine Papiernik and Sophie Ezine. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, The Journal of Experimental Medicine, Nature and International Immunology.

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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