Claude Daniel

713 citations
22 papers · 559 · h-index 13

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

Claude Daniel

20 papers receiving 542 citations

Peers

Claude Daniel
Comparison fields: 5 of 80
  • Transplantation 31
  • Immunology 229
  • Immunology and Allergy 36
  • Rheumatology 88
  • Computational Mechanics 117
Replace L. Zhang with:
L. Zhang China
Hong Qin China
Michael P. Riley United States
Yuji Kudo Japan
Iñaki Álvarez Spain
Charles Parker United States
Elizabeth R. Davies United Kingdom
Liwei Mao China
Cheng C. Tsai United States
M Auriol France
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Citations per year

Countries citing papers authored by Claude Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Claude Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199889
2 200568
3 200664
4 200563
5 200358
6 199036
7 199932
8 199827
9 200926
10 202120
11 200419
12 200415
13 199413
14 201712
15 20006
16 19903
17 20133
18
Sur la résistance au virus dans la rosette de l'arachide
19652
19 19871
20 19891

About Claude Daniel

Claude Daniel is a scholar working on Immunology, Animal Science and Zoology, Infectious Diseases, Computational Mechanics and Surfaces, Coatings and Films, having authored 22 papers that have together received 559 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immunotherapy and Immune Responses (7 papers), Animal Virus Infections Studies (6 papers), Immune Cell Function and Interaction (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Fluid Dynamics and Heat Transfer (4 papers), Surface Modification and Superhydrophobicity (3 papers) and Particle Dynamics in Fluid Flows (2 papers). The work is most often cited by research in Transplantation (31 citations), Immunology (229 citations), Immunology and Allergy (36 citations), Rheumatology (88 citations) and Computational Mechanics (117 citations). Claude Daniel has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Paul M. Allen, Dominique Legendre, Pascal Guiraud, Stephen Horváth, Pierre J. Talbot, Roberto Zenit, Gilles Boire, Nathalie Carrier, Patrick Liang and Myriam Baratin. Their work appears in journals such as The Journal of Immunology, Advances in experimental medicine and biology, Chemical Engineering Science, Virology and European 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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