Fréderic Vély

1.1k citations
5 papers · 654 · h-index 5

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 5
    • IL-33, ST2, and ILC Pathways 3
    • T-cell and B-cell Immunology 3
    • Immunodeficiency and Autoimmune Disorders 1
    • Immune Response and Inflammation 1
    • CAR-T cell therapy research 2

Fréderic Vély

5 papers receiving 651 citations

Peers

Fréderic Vély
Comparison fields: 5 of 71
  • Immunology 549
  • Oncology 250
  • Hematology 37
  • Transplantation 6
  • Epidemiology 60
Replace Alexander P. R. Bally with:
Alexander P. R. Bally United States
Michaël Loschi France
Douglas E. Kline United States
Daniele Lissandrini Italy
Ryoko Hamano Japan
Heike Schmidlin Netherlands
Rita J. Luther United States
Maria Velegraki Greece
Aïda Meghraoui France
Hidehiko Narazaki Japan
Fréderic Vély relative to Alexander P. R. Bally United States Alexander P. R. Bally's profile →
Citations per field
00.5×1.5×
Alexander P. R. Bally · 1×
Citations per year

Countries citing papers authored by Fréderic Vély

Since Specialization
Citations

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

Fields of papers citing papers by Fréderic Vély

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 2018296
2 2016243
3 201661
4 201941
5 201613

About Fréderic Vély

Fréderic Vély is a scholar working on Immunology, Oncology, Infectious Diseases, Organic Chemistry and Surgery, having authored 5 papers that have together received 654 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), IL-33, ST2, and ILC Pathways (3 papers), T-cell and B-cell Immunology (3 papers), CAR-T cell therapy research (2 papers), Immunodeficiency and Autoimmune Disorders (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Immunology (549 citations), Oncology (250 citations), Hematology (37 citations), Transplantation (6 citations) and Epidemiology (60 citations). Fréderic Vély has collaborated with scholars based in France, Italy and China. Frequent co-authors include Éric Vivier, Christelle Pipéroglou, Mikaël Ebbo, Célèste Lebbé, D. Sène, Stéphanie Dupuy, Stéphanie Dogniaux, D. Zucman, Asma Beldi‐Ferchiou and Marion Lambert. Their work appears in journals such as Frontiers in Immunology, Oncotarget, EBioMedicine, Immunity and Journal of Molecular 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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