Frédéric Vely

8.1k citations
72 papers · 4.6k indexed · 1 hit paper · h-index 35
  • Immunology top 0.5%
    • Immune Cell Function and Interaction 39
    • T-cell and B-cell Immunology 23
    • Galectins and Cancer Biology 8
    • Reproductive System and Pregnancy 5
    • IL-33, ST2, and ILC Pathways 5
  • Hematology top 2%
    • Autoimmune and Inflammatory Disorders Research 5
  • Oncology top 5%
    • IgG4-Related and Inflammatory Diseases 4
    • Protein Tyrosine Phosphatases 5

Frédéric Vely

69 papers receiving 4.6k citations

Hit Papers

Natural Killer Cell Signaling Pathways5622004202620112018100200300400500

Peers

Frédéric Vely
Comparison fields: 5 of 123
  • Immunology 3.4k
  • Hematology 394
  • Immunology and Allergy 181
  • Oncology 760
  • Rheumatology 229
Replace Yoshikatsu Kaneko with:
Yoshikatsu Kaneko Japan
Motoko Y. Kimura Japan
Tony Muchamuel United States
Antonio Cozzio Switzerland
Azzam A. Maghazachi Norway
Xuyu Zhou China
Ryuta Nishikomori Japan
Malek Kamoun United States
Philip J. Lucas United States
Daniel L. Mueller United States
Frédéric Vely relative to Yoshikatsu Kaneko Japan Yoshikatsu Kaneko's profile →
Citations per field
00.5×3.5×
Yoshikatsu Kaneko · 1×
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-authorship network

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
#Work
1 20240
2 20244
3 20242
4 20240
5 20231
6 202322
7 202057
8 201718
9 2012150
10 201175
11 201124
12 201072
13 2010113
14 2007209
15 2005320
16 20031
17 200172
18 199735
19 199786
20 199719

About Frédéric Vely

Frédéric Vely is a scholar working on Immunology, Microbiology and Modeling and Simulation, having authored 72 papers that have together received 4.6k 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), Autoimmune and Inflammatory Disorders Research (5 papers), Reproductive System and Pregnancy (5 papers), IL-33, ST2, and ILC Pathways (5 papers), Protein Tyrosine Phosphatases (5 papers) and IgG4-Related and Inflammatory Diseases (4 papers). The work is most often cited by research in Immunology (3.4k citations), Hematology (394 citations) and Immunology and Allergy (181 citations). Frédéric Vely has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Éric Vivier, Jacques A. Nunès, Mathieu Bléry, Mikaël Ebbo, Lucia Olcese, Adeline Crinier, Alessandro Moretta, Anna Cambiaggi, N. Schleinitz and Jean‐Robert Harlé. Their work appears in journals such as European Journal of Immunology, Blood, Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

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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