Patrick Chardon

5.2k citations
58 papers · 2.4k indexed · 2 hit papers · h-index 25

Patrick Chardon

55 papers receiving 2.2k citations

Hit Papers

Simulati...1182000202620082017100200300400500

Peers

Patrick Chardon
Comparison fields: 5 of 145
  • Animal Science and Zoology 404
  • Microbiology 181
  • Genetics 815
  • Immunology 460
  • Anesthesiology and Pain Medicine 121
Replace Rajiv Juneja with:
Rajiv Juneja India
Kendall S. Frazier United States
Dennis B. DeNicola United States
Norbert Solymosi Hungary
Mitsuyoshi Takiguchi Japan
John M. Cullen United States
Derek Grant Norway
John Franks United States
Kazuo Gotō Japan
Catherine Trumel France
Patrick Chardon relative to Rajiv Juneja India Rajiv Juneja's profile →
Citations per field
00.5×4.2×
Rajiv Juneja · 1×
Citations per year

Countries citing papers authored by Patrick Chardon

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Chardon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20233
3 201213
4 201140
5 201033
6 20091
7 2008164
8 200830
9 200824
10 200850
11 200723
12 200621
13 200518
14 200529
15 200426
16 200421
17 200311
18 200137
19 20006
20 200027

About Patrick Chardon

Patrick Chardon is a scholar working on Immunology, Microbiology, Genetics, Radiological and Ultrasound Technology and Geochemistry and Petrology, having authored 58 papers that have together received 2.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (10 papers), Animal Genetics and Reproduction (10 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Glycosylation and Glycoproteins Research (5 papers), Microbial infections and disease research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Genetic and phenotypic traits in livestock (5 papers). The work is most often cited by research in Animal Science and Zoology (404 citations), Microbiology (181 citations), Genetics (815 citations), Immunology (460 citations) and Anesthesiology and Pain Medicine (121 citations). Patrick Chardon has collaborated with scholars based in France, Morocco and United States. Frequent co-authors include Christine Renard, Claire Rogel Gaillard, M. Vaiman, Denis Milan, Joël Gellin, Nathalie Iannuccelli, Christian Looft, Valérie Amarger, Annie Robic and Jin‐Tae Jeon. Their work appears in journals such as Immunogenetics, Mammalian Genome, Genomics, BMC Genomics and The 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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