Denis Bedoret

1.6k citations
11 papers · 1.4k · h-index 11

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immune cells in cancer
    • IL-33, ST2, and ILC Pathways
    • T-cell and B-cell Immunology
  • Equine top 5%

Papers in

    • Immunotherapy and Immune Responses 3
    • Immune Cell Function and Interaction 2
    • Immune Response and Inflammation 2
    • Immune cells in cancer 1
    • Asthma and respiratory diseases 3

Denis Bedoret

11 papers receiving 1.3k citations

Peers

Denis Bedoret
Comparison fields: 5 of 94
  • Immunology 821
  • Equine 27
  • Immunology and Allergy 78
  • Geriatrics and Gerontology 41
  • Oncology 244
Replace Amrit Mann with:
Amrit Mann Germany
Mingjian Fei United States
Hidetoshi Takedatsu Japan
Maryann L. Huie United States
Mark Ling United States
Katsuki Ohtani Japan
Quinten Remijsen Belgium
Sebastian Zundler Germany
Simone Bürgler Switzerland
Tessa ten Hove Netherlands
Denis Bedoret relative to Amrit Mann Germany Amrit Mann's profile →
Citations per field
00.5×8.2×
Amrit Mann · 1×
Citations per year

Countries citing papers authored by Denis Bedoret

Since Specialization
Citations

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

Fields of papers citing papers by Denis Bedoret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2011452
2 2009326
3 2014263
4 200877
5 201169
6 201467
7 201041
8 201029
9 200622
10 201216
11 200712

About Denis Bedoret

Denis Bedoret is a scholar working on Immunology, Physiology, Oncology, Equine and Infectious Diseases, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (3 papers), Asthma and respiratory diseases (3 papers), Veterinary Equine Medical Research (2 papers), Immune Cell Function and Interaction (2 papers), Immune Response and Inflammation (2 papers), Immune cells in cancer (1 paper), Sirtuins and Resveratrol in Medicine (1 paper) and Amoebic Infections and Treatments (1 paper). The work is most often cited by research in Immunology (821 citations), Equine (27 citations), Immunology and Allergy (78 citations), Geriatrics and Gerontology (41 citations) and Oncology (244 citations). Denis Bedoret has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Pierre Lekeux, Christophe Desmet, Thomas Marichal, Fabrice Bureau, Claire Mesnil, Catherine Sabatel, Cevayir Coban, Keiichi Ohata, Shizuo Akira and Ken J. Ishii. Their work appears in journals such as The Journal of Immunology, Nature Medicine, European Journal of Immunology, Cancer Biology & Therapy and Equine Veterinary Journal.

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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