Marc Daëron

13.0k citations
146 papers · 10.0k indexed · 3 hit papers · h-index 48

Marc Daëron

145 papers receiving 9.8k citations

Hit Papers

Harnessing innate i...70219972026200620162505007501000

Peers

Marc Daëron
Comparison fields: 5 of 134
  • Immunology 6.6k
  • Immunology and Allergy 1.6k
  • Radiology, Nuclear Medicine and Imaging 3.7k
  • Molecular Biology 3.2k
  • Physiology 1.1k
Replace Jean‐Yves Bonnefoy with:
Jean‐Yves Bonnefoy France
Jay C. Unkeless United States
Daniel H. Conrad United States
Pierre Bruhns France
Martin E. Dorf United States
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Antony Basten Australia
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Citations per field
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Jean‐Yves Bonnefoy · 1×
Citations per year

Countries citing papers authored by Marc Daëron

Since Specialization
Citations

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

Fields of papers citing papers by Marc Daëron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 201437
3 201310
4 200827
5 2008285
6 200810
7 200627
8 200536
9 200568
10 200528
11 200444
12 200054
13 200052
14 2000206
15 199962
16 199723
17 19912
18 198923
19
Fc receptor diversity: the mast cell case.
19863
20
[Enhancing antibodies and supressive cells in maternal anti-fetal immune reaction].
197710

About Marc Daëron

Marc Daëron is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy, Molecular Biology and Rheumatology, having authored 146 papers that have together received 10.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (95 papers), Mast cells and histamine (57 papers), Glycosylation and Glycoproteins Research (35 papers), T-cell and B-cell Immunology (32 papers), Immune Cell Function and Interaction (28 papers), Food Allergy and Anaphylaxis Research (14 papers), Asthma and respiratory diseases (12 papers) and PI3K/AKT/mTOR signaling in cancer (8 papers). The work is most often cited by research in Immunology (6.6k citations), Immunology and Allergy (1.6k citations), Radiology, Nuclear Medicine and Imaging (3.7k citations), Molecular Biology (3.2k citations) and Physiology (1.1k citations). Marc Daëron has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Wolf H. Fridman, Éric Vivier, Pierre Bruhns, Odile Malbec, Bruno Iannascoli, David A. Mancardi, Patrick England, Sylvain Latour, Nadine Fernandez and Sylvie Jorieux. Their work appears in journals such as The Journal of Immunology, Molecular Immunology, Journal of Biological Chemistry, European Journal of Immunology and Immunology Letters.

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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