Michel Dréano
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Cancer Research top 10%
- NF-κB Signaling Pathways
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 8
- Heat shock proteins research 5
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- NF-κB Signaling Pathways 9
- Co-authors
- Frédéric Triebel (3 shared papers)Philippe Prigent (3 shared papers)Xuliang Jiang (2 shared papers)Gianni Garotta (7 shared papers)Denis Bruniquel (1 shared paper)Bernard Maigret (1 shared paper)S. Donini (1 shared paper)Renato Mastrangeli (1 shared paper)
- Journals
- Cell Biology and Toxicology (3 papers)Cytokine (3 papers)Clinical Cancer Research (2 papers)Nature Biotechnology (2 papers)European Journal of Immunology (2 papers)
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
Michel Dréano
41 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 93
- Immunology 512
- Cancer Research 269
- Oncology 398
- Reproductive Medicine 112
- Hepatology 77
Countries citing papers authored by Michel Dréano
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
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.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 236 | |
| 2 | 1995 | 173 | |
| 3 | 2011 | 164 | |
| 4 | 2003 | 81 | |
| 5 | 1999 | 73 | |
| 6 | 2008 | 70 | |
| 7 | 2003 | 65 | |
| 8 | 1986 | 64 | |
| 9 | 2008 | 53 | |
| 10 | 1987 | 46 | |
| 11 | 2006 | 45 | |
| 12 | 2008 | 45 | |
| 13 | 2007 | 44 | |
| 14 | 2001 | 42 | |
| 15 | 2004 | 37 | |
| 16 | 2009 | 36 | |
| 17 | 2006 | 36 | |
| 18 | 2008 | 36 | |
| 19 | 1992 | 32 | |
| 20 | 2004 | 26 |
About Michel Dréano
Michel Dréano is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Oncology and Epidemiology, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (9 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers), Viral gastroenteritis research and epidemiology (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Heat shock proteins research (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Multiple Myeloma Research and Treatments (4 papers) and Liver physiology and pathology (3 papers). The work is most often cited by research in Immunology (512 citations), Cancer Research (269 citations), Oncology (398 citations), Reproductive Medicine (112 citations) and Hepatology (77 citations). Michel Dréano has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Frédéric Triebel, Philippe Prigent, Xuliang Jiang, Gianni Garotta, Denis Bruniquel, Bernard Maigret, S. Donini, Renato Mastrangeli, Bertrand Huard and Richard Voellmy. Their work appears in journals such as Cell Biology and Toxicology, Cytokine, Clinical Cancer Research, Nature Biotechnology and European 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.