Claude–Agnès Reynaud

12.7k citations
112 papers · 8.0k indexed · 1 hit paper · h-index 48
Topics
T-cell and B-cell Immunology (64 papers)Immune Cell Function and Interaction (42 papers)Monoclonal and Polyclonal Antibodies Research (21 papers)
Partner nations
FranceSwitzerlandGermany

In The Last Decade

Claude–Agnès Reynaud

111 papers receiving 7.8k citations

Hit Papers

A hyperconversion mechanism generates the chicken light c...19872026200020131987100200300400500

Peers

Claude–Agnès Reynaud
Comparison fields: 5 of 118
  • Immunology 4.9k
  • Molecular Biology 3.4k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Genetics 829
  • Pathology and Forensic Medicine 623
Replace Jean–Claude Weill with:
Jean–Claude Weill France
Patricia J. Gearhart United States
David Nemazee United States
Ian C. M. MacLennan United Kingdom
Silvia Bolland United States
Kris Thielemans Belgium
Hans Acha‐Orbea Switzerland
Lynn M. Corcoran Australia
Véronique Giudicelli France
Hedda Wardemann Germany
Claude–Agnès Reynaud relative to Jean–Claude Weill France Jean–Claude Weill's profile →
Citations per field
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Jean–Claude Weill · 1×
Citations per year

Countries citing papers authored by Claude–Agnès Reynaud

Since Specialization
Citations

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

Fields of papers citing papers by Claude–Agnès Reynaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claude–Agnès Reynaud

This figure shows the co-authorship network connecting the top 25 collaborators of Claude–Agnès Reynaud. A scholar is included among the top collaborators of Claude–Agnès Reynaud 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 Claude–Agnès Reynaud. Claude–Agnès Reynaud 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 8
2 14
3 26
4 91
5 313
6 33
7 36
8 53
9 149
10 146
11 170
12 14
13 47
14 22
15 107
16 15
17 150
18 49
19 82
20 29

About Claude–Agnès Reynaud

Claude–Agnès Reynaud is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 112 papers that have together received 8.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (64 papers), Immune Cell Function and Interaction (42 papers) and Monoclonal and Polyclonal Antibodies Research (21 papers). The work is most often cited by research in Immunology (4.9k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations) and Molecular Biology (3.4k citations). Claude–Agnès Reynaud has collaborated with scholars based in France, Switzerland and Germany. Frequent co-authors include Jean–Claude Weill, Viviane Anquez, Jean-Claude Weill, Barbara Bertocci, Ahmad Faili, Auriel Dahan, Saïd Aoufouchi, Frédéric Delbos, Sandra Weller and Hélène Grimal. Their work appears in journals such as Nature, Science 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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