Pierre Ferrier

7.6k citations
135 papers · 5.9k · h-index 39

Impact in

  • Immunology top 0.5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer

Papers in

    • Genomics and Chromatin Dynamics 20
    • Sexual Differentiation and Disorders 11
    • Epigenetics and DNA Methylation 10
    • T-cell and B-cell Immunology 48
    • Immune Cell Function and Interaction 39
    • Immunotherapy and Immune Responses 10

Pierre Ferrier

133 papers receiving 5.8k citations

Peers

Pierre Ferrier
Comparison fields: 5 of 133
  • Immunology 2.8k
  • Molecular Biology 3.0k
  • Clinical Biochemistry 253
  • Cancer Research 440
  • Oncology 709
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David L. Gasser United States
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Citations per field
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Citations per year

Countries citing papers authored by Pierre Ferrier

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Ferrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999428
2 1995344
3 1988260
4 2011252
5 2011250
6 1990198
7 2011194
8 2016181
9 1986167
10 2012161
11 1996154
12 1996133
13 2000132
14 2012121
15 1989120
16 1993115
17 2010103
18 1986103
19 196492
20 200682

About Pierre Ferrier

Pierre Ferrier is a scholar working on Molecular Biology, Immunology, Genetics, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 135 papers that have together received 5.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (48 papers), Immune Cell Function and Interaction (39 papers), Genomics and Chromatin Dynamics (20 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Sexual Differentiation and Disorders (11 papers), CAR-T cell therapy research (11 papers), Epigenetics and DNA Methylation (10 papers) and Immunotherapy and Immune Responses (10 papers). The work is most often cited by research in Immunology (2.8k citations), Molecular Biology (3.0k citations), Clinical Biochemistry (253 citations), Cancer Research (440 citations) and Oncology (709 citations). Pierre Ferrier has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Salvatore Spicuglia, Jean‐Christophe Andrau, Frédéric Koch, Frederick W. Alt, Christophe Verthuy, Gaëlle Bouvier, Joaquin Zacarías-Cabeza, Romain Fenouil, T. Keith Blackwell and William M. Hempel. Their work appears in journals such as The Journal of Immunology, The EMBO Journal, The Lancet, Immunogenetics and Molecular and Cellular Biology.

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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