Michel Dréano

2.0k citations
42 papers · 1.7k · h-index 23

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • NF-κB Signaling Pathways

Papers in

Michel Dréano

42 papers receiving 1.6k citations

Peers

Michel Dréano
Comparison fields: 5 of 90
  • Immunology 496
  • Cancer Research 259
  • Oncology 408
  • Reproductive Medicine 116
  • Neurology 74
Replace Yanyun Zhang with:
Yanyun Zhang China
Rocco J. Rotello United States
Stanislaw Krajewski United States
Elora J. Weringer United States
Ian de Belle United States
Mary K. Ernst United States
Chi‐Bom Chae United States
Rebecca Rimini Italy
Yongyu Shi China
Takaaki Sato Japan
Michel Dréano relative to Yanyun Zhang China Yanyun Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michel Dréano

Since Specialization
Citations

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

Fields of papers citing papers by Michel Dréano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997256
2 1995177
3 2011171
4 200383
5 199982
6 200872
7 198669
8 200366
9 200855
10 198749
11 200648
12 200146
13 200745
14 200845
15 200438
16 200638
17 200938
18 200836
19 199232
20 200728

About Michel Dréano

Michel Dréano is a scholar working on Infectious Diseases, Cancer Research, Oncology, Immunology and Hematology, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (8 papers), Viral gastroenteritis research and epidemiology (8 papers), NF-κB Signaling Pathways (7 papers), Cytokine Signaling Pathways and Interactions (5 papers), Heat shock proteins research (5 papers), Viral Infections and Immunology Research (4 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Immunology (496 citations), Cancer Research (259 citations), Oncology (408 citations), Reproductive Medicine (116 citations) and Neurology (74 citations). Michel Dréano has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Frédéric Triebel, Philippe Prigent, Xuliang Jiang, Gianni Garotta, Denis Bruniquel, S. Donini, Bernard Maigret, Bertrand Huard, Renato Mastrangeli and Richard W. Voellmy. Their work appears in journals such as Cell Biology and Toxicology, Cytokine, Leukemia, Cancer Chemotherapy and Pharmacology and Clinical Cancer 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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