Jean‐Michel Dayer

26.1k citations
223 papers · 20.4k indexed · 8 hit papers · h-index 74
Topics
Immune Response and Inflammation (47 papers)Cell Adhesion Molecules Research (38 papers)Rheumatoid Arthritis Research and Therapies (32 papers)

In The Last Decade

Jean‐Michel Dayer

221 papers receiving 19.4k citations

Hit Papers

Cachectin/tumor necrosis factor stimulates collagenase an...1976202619922009198519901995199819882505007501000

Peers

Jean‐Michel Dayer
Comparison fields: 5 of 154
  • Immunology 7.2k
  • Molecular Biology 4.9k
  • Rheumatology 4.5k
  • Oncology 2.8k
  • Epidemiology 2.7k
Replace William P. Arend with:
William P. Arend United States
Johannes Roth Germany
Fabienne Mackay Australia
Fionula M. Brennan United Kingdom
Wim B. van den Berg Netherlands
Mariana J. Kaplan United States
Dorian O. Haskard United Kingdom
Paul P. Tak Netherlands
Ulf Müller‐Ladner Germany
Naofumi Mukaida Japan
Jean‐Michel Dayer relative to William P. Arend United States William P. Arend's profile →
Citations per field
00.5×1.6×
William P. Arend · 1×
Citations per year

Countries citing papers authored by Jean‐Michel Dayer

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Michel Dayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Michel Dayer. 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 Jean‐Michel Dayer. The network helps show where Jean‐Michel Dayer may publish in the future.

Co-authorship network of co-authors of Jean‐Michel Dayer

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Michel Dayer. A scholar is included among the top collaborators of Jean‐Michel Dayer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean‐Michel Dayer. Jean‐Michel Dayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 15
3 12
4 49
5 132
6 26
7 25
8 56
9 27
10 232
11 67
12 154
13 37
14 25
15 56
16
Inhibition of the production and effects of interleukins‐1 and tumor necrosis factor α in rheumatoid arthritisbreakdown →
793
17 20
18 32
19 19
20 34

About Jean‐Michel Dayer

Jean‐Michel Dayer is a scholar working on Immunology and Allergy, Immunology and Rheumatology, having authored 223 papers that have together received 20.4k indexed citations. Recurring topics across this work include Immune Response and Inflammation (47 papers), Cell Adhesion Molecules Research (38 papers) and Rheumatoid Arthritis Research and Therapies (32 papers). The work is most often cited by research in Immunology (7.2k citations), Rheumatology (4.5k citations) and Immunology and Allergy (1.8k citations). Jean‐Michel Dayer has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include William P. Arend, Danielle Burger, Stephen M. Krane, Anthony Cerami, Bruce Beutler, Rachel Chicheportiche, Georges E. Grau, P Seckinger, Pascale Roux‐Lombard and Carlo Chizzolini. Their work appears in journals such as Science, New England Journal of Medicine and Cell.

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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