Frédéric Petit

2.7k citations
46 papers · 1.2k · h-index 18

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • HIV Research and Treatment 15
    • Immune Cell Function and Interaction 12
    • T-cell and B-cell Immunology 5

Frédéric Petit

42 papers receiving 1.1k citations

Peers

Frédéric Petit
Comparison fields: 5 of 115
  • Virology 408
  • Immunology 356
  • Physiology 301
  • Physiology 41
  • Infectious Diseases 164
Replace T Maekawa with:
T Maekawa Japan
Ferdous Gheyas United States
Leslie Obert United States
S. Orbach‐Arbouys France
Danielle M. Carrick United States
Haifeng Song China
Li Song United States
Ann Mander United Kingdom
Palanikumar Ravindran United States
Jie Lin China
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Citations per field
00.5×10.8×
T Maekawa · 1×
Citations per year

Countries citing papers authored by Frédéric Petit

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Petit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001330
2 200262
3 200261
4 199358
5 200951
6 200350
7 200546
8 199944
9 200742
10 200741
11 200739
12 200338
13 200637
14 200534
15 200525
16 200325
17 200125
18 200518
19 199517
20 201213

About Frédéric Petit

Frédéric Petit is a scholar working on Virology, Immunology, Molecular Biology, Civil and Structural Engineering and Epidemiology, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (15 papers), Immune Cell Function and Interaction (12 papers), Infrastructure Resilience and Vulnerability Analysis (7 papers), T-cell and B-cell Immunology (5 papers), Manufacturing Process and Optimization (5 papers), HIV/AIDS drug development and treatment (5 papers), Enzyme Catalysis and Immobilization (4 papers) and Assembly Line Balancing Optimization (4 papers). The work is most often cited by research in Virology (408 citations), Immunology (356 citations), Physiology (301 citations), Physiology (41 citations) and Infectious Diseases (164 citations). Frédéric Petit has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Jérôme Estaquier, Damien Arnoult, Roland Furstoss, Jean‐Claude Ameisen, Jean‐Daniel Lelièvre, Carlos Alonso, Jean Montreuil, Daniela Bratosin, Brigitte Quatannens and Christian Slomianny. Their work appears in journals such as Journal of Virology, Cell Death and Differentiation, Blood, The Journal of Immunology and AIDS Research and Human Retroviruses.

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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