Frédéric Vely

8.3k citations
74 papers · 4.9k · h-index 35

Impact in

  • Immunology top 0.5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Reproductive System and Pregnancy
    • IL-33, ST2, and ILC Pathways
    • Immunotherapy and Immune Responses
    • Galectins and Cancer Biology
    • Immune Response and Inflammation
  • Hematology top 2%

Papers in

    • Immune Cell Function and Interaction 39
    • T-cell and B-cell Immunology 23
    • Galectins and Cancer Biology 8
    • Reproductive System and Pregnancy 5
    • Autoimmune and Inflammatory Disorders Research 5

Frédéric Vely

70 papers receiving 4.8k citations

Peers

Frédéric Vely
Comparison fields: 5 of 120
  • Immunology 3.5k
  • Hematology 387
  • Immunology and Allergy 175
  • Oncology 759
  • Rheumatology 219
Replace Tony Muchamuel with:
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Vely

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Vely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004591
2 2005335
3 1996322
4 2017286
5 2007229
6 1998203
7 1998186
8 2012160
9 1997139
10 1998136
11 1997127
12 2010120
13 2013120
14 2009113
15 2012112
16 202095
17 199792
18 200490
19 200085
20 200280

About Frédéric Vely

Frédéric Vely is a scholar working on Immunology, Hematology, Oncology, Epidemiology and Infectious Diseases, having authored 74 papers that have together received 4.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (39 papers), T-cell and B-cell Immunology (23 papers), Galectins and Cancer Biology (8 papers), Reproductive System and Pregnancy (5 papers), Autoimmune and Inflammatory Disorders Research (5 papers), Protein Tyrosine Phosphatases (5 papers), CAR-T cell therapy research (4 papers) and IgG4-Related and Inflammatory Diseases (4 papers). The work is most often cited by research in Immunology (3.5k citations), Hematology (387 citations), Immunology and Allergy (175 citations), Oncology (759 citations) and Rheumatology (219 citations). Frédéric Vely has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Eric D. Vivier, Jacques A. Nunès, Mikaël Ebbo, Mathieu Bléry, Lucia Olcese, Adeline Crinier, Alessandro Moretta, N. Schleinitz, Anna Cambiaggi and Jean‐Robert Harlé. Their work appears in journals such as European Journal of Immunology, Blood, Journal of Biological Chemistry, PLoS ONE and The Journal of 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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