Chantal Cerdan

2.2k citations
33 papers · 1.8k indexed · h-index 21
  • Immunology top 5%
    • Immune Cell Function and Interaction 14
    • T-cell and B-cell Immunology 13
    • Immune Response and Inflammation 7
    • Immunotherapy and Immune Responses 4
    • Zebrafish Biomedical Research Applications 7
  • Virology top 5%
  • Genetics top 5%
    • Pluripotent Stem Cells Research 11
    • CRISPR and Genetic Engineering 5
    • Chemokine receptors and signaling 5

Chantal Cerdan

33 papers receiving 1.7k citations

Peers

Chantal Cerdan
Comparison fields: 5 of 79
  • Immunology 642
  • Cell Biology 353
  • Virology 85
  • Genetics 174
  • Molecular Biology 1.1k
Replace Konrad Miatkowski with:
Konrad Miatkowski United States
William Schachterle United States
Tomohiko Kanno Japan
G L Shen-Ong United States
Cheryl A. Whitlock United States
Elizabeth Daro Canada
Samuel Godár Austria
Evelyne Lauret France
Ricciarda Galandrini Italy
Kouji Matsushima Japan
Chantal Cerdan relative to Konrad Miatkowski United States Konrad Miatkowski's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chantal Cerdan

Since Specialization
Citations

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

Fields of papers citing papers by Chantal Cerdan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201318
2 201220
3 201040
4 20061
5 200614
6 200558
7 2005222
8 2004301
9 200032
10 199911
11 19959
12 199553
13 199478
14 199338
15 199215
16 199297
17 199011
18 198931
19 198913
20 198847

About Chantal Cerdan

Chantal Cerdan is a scholar working on Immunology, Cell Biology and Genetics, having authored 33 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (13 papers), Pluripotent Stem Cells Research (11 papers), Immune Response and Inflammation (7 papers), Zebrafish Biomedical Research Applications (7 papers), Chemokine receptors and signaling (5 papers), CRISPR and Genetic Engineering (5 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Immunology (642 citations), Cell Biology (353 citations) and Virology (85 citations). Chantal Cerdan has collaborated with scholars based in France, Canada and Mali. Frequent co-authors include Mickie Bhatia, Pablo Menéndez, Daniel Olive, Claude Mawas, Anne Rouleau, Lisheng Wang, Farbod Shojaei, Krysta Levac, Li‐Sheng Wang and Yvette N. Martin. Their work appears in journals such as The Journal of Experimental Medicine, Blood and Immunity.

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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