Clément N. David

1.3k citations
21 papers · 1.1k · h-index 12

Impact in

Papers in

    • Immune cells in cancer 3
    • interferon and immune responses 3
    • Immunotherapy and Immune Responses 2
    • Toxoplasma gondii Research Studies 4

Clément N. David

20 papers receiving 1.1k citations

Peers

Clément N. David
Comparison fields: 5 of 99
  • Biological Psychiatry 70
  • Parasitology 169
  • Immunology 445
  • Neurology 138
  • Molecular Biology 432
Replace Gaia Codolo with:
Gaia Codolo Italy
Tracey L. Papenfuss United States
Alla L. Zozulya Germany
Mikhail V. Pashenkov Russia
Fay J. Dufort United States
Verônica Morandi Brazil
Michelle Nicole Messmer United States
Shilian Liu China
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Citations per field
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Citations per year

Countries citing papers authored by Clément N. David

Since Specialization
Citations

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

Fields of papers citing papers by Clément N. David

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clément N. David. 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 Clément N. David. The network helps show where Clément N. David may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017351
2 2018229
3 2017133
4 2016126
5 201263
6 201346
7 201226
8 202124
9 202013
10 202113
11 202113
12 202312
13 202110
14 20226
15 20215
16 19784
17 20154
18 20244
19 20233
20
Influence of quantitative variation of the antigenic diphtheria-tetanus-pertussis association constituents on the histamine-sensitizing effect.
19691

About Clément N. David

Clément N. David is a scholar working on Immunology, Parasitology, Rheumatology, Immunology and Allergy and Cell Biology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (4 papers), Immune cells in cancer (3 papers), interferon and immune responses (3 papers), Autoimmune Bullous Skin Diseases (2 papers), Cutaneous lymphoproliferative disorders research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cell Adhesion Molecules Research (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Biological Psychiatry (70 citations), Parasitology (169 citations), Immunology (445 citations), Neurology (138 citations) and Molecular Biology (432 citations). Clément N. David has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Sushmita Jha, Jenny P.‐Y. Ting, Haitao Guo, Leslie C. Freeman, Willie June Brickey, Emma H. Wilson, Robert D. Junkins, Karen P. McKinnon, Eric M. Bachelder and Ning Hui Cheng. Their work appears in journals such as Frontiers in Veterinary Science, PLoS Pathogens, Journal of the American Chemical Society, iScience and Brain Research.

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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