Didier Che
Impact in
- Infectious Diseases top 1%
- Antifungal resistance and susceptibility
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Endocrinology top 2%
- Legionella and Acanthamoeba research
Papers in
-
- Tuberculosis Research and Epidemiology 5
- Antifungal resistance and susceptibility 4
- Viral Infections and Outbreaks Research 4
-
- Fungal Infections and Studies 4
- Co-authors
- Dounia Bitar (7 shared papers)Olivier Lortholary (3 shared papers)Françoise Dromer (3 shared papers)Yann Le Strat (2 shared papers)B. Coignard (3 shared papers)Dieter Van Cauteren (1 shared paper)Fanny Lanternier (1 shared paper)Éric Dannaoui (1 shared paper)
In The Last Decade
Didier Che
22 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 110
- Infectious Diseases 940
- Endocrinology 274
- Modeling and Simulation 77
- Epidemiology 495
- Health, Toxicology and Mutagenesis 161
Countries citing papers authored by Didier Che
This map shows the geographic impact of Didier Che'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 Didier Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didier Che more than expected).
Fields of papers citing papers by Didier Che
This network shows the impact of papers produced by Didier Che. 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 Didier Che. The network helps show where Didier Che may publish in the future.
Co-authors
The 25 scholars most cited alongside Didier Che, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 328 | |
| 2 | 2013 | 324 | |
| 3 | 2014 | 316 | |
| 4 | 2005 | 245 | |
| 5 | 2004 | 102 | |
| 6 | 2005 | 71 | |
| 7 | 2010 | 57 | |
| 8 | 2019 | 56 | |
| 9 | 2009 | 31 | |
| 10 | 2020 | 15 | |
| 11 | Les cas de tuberculose maladie declares en France en 2006 | 2008 | 13 |
| 12 | 2021 | 12 | |
| 13 | 2006 | 8 | |
| 14 | 2013 | 7 | |
| 15 | 2010 | 7 | |
| 16 | Lorraine Strain of Legionellapneumophila Serogroup 1, France | 2008 | 4 |
| 17 | 2005 | 3 | |
| 18 | 2009 | 2 | |
| 19 | 2019 | 2 | |
| 20 | La tuberculose en France : les raisons d'un problème persistant | 2004 | 1 |
About Didier Che
Didier Che is a scholar working on Infectious Diseases, Epidemiology, General Health Professions, Endocrinology and Modeling and Simulation, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Antifungal resistance and susceptibility (4 papers), COVID-19 epidemiological studies (4 papers), Fungal Infections and Studies (4 papers), Legionella and Acanthamoeba research (4 papers), Viral Infections and Outbreaks Research (4 papers), Zoonotic diseases and public health (3 papers) and Healthcare Systems and Practices (3 papers). The work is most often cited by research in Infectious Diseases (940 citations), Endocrinology (274 citations), Modeling and Simulation (77 citations), Epidemiology (495 citations) and Health, Toxicology and Mutagenesis (161 citations). Didier Che has collaborated with scholars based in France, Morocco and Belgium. Frequent co-authors include Dounia Bitar, Olivier Lortholary, Françoise Dromer, Yann Le Strat, B. Coignard, Dieter Van Cauteren, Fanny Lanternier, Éric Dannaoui, J C Desenclos and Pierre Tattevin. Their work appears in journals such as Emerging infectious diseases, Eurosurveillance, The Journal of Infectious Diseases, BMC Public Health and Journal of Clinical Epidemiology.
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.