Daniel Euphrasie
Impact in
- Microbiology top 5%
- Bacterial Infections and Vaccines
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
Papers in
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- Bacterial Infections and Vaccines 7
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- Tuberculosis Research and Epidemiology 6
- Antimicrobial Resistance in Staphylococcus 4
- Co-authors
- Jean‐Marc Reyrat (8 shared papers)Anne Jamet (12 shared papers)Xavier Nassif (11 shared papers)Gilles Etienne (6 shared papers)Alain Charbit (9 shared papers)Mathieu Coureuil (11 shared papers)Mamadou Daffé (4 shared papers)Caroline Deshayes (4 shared papers)
In The Last Decade
Daniel Euphrasie
26 papers receiving 769 citations
Peers
Comparison fields: 5 of 78
- Microbiology 144
- Infectious Diseases 308
- Molecular Medicine 80
- Endocrinology 74
- Epidemiology 330
Countries citing papers authored by Daniel Euphrasie
This map shows the geographic impact of Daniel Euphrasie'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 Daniel Euphrasie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Euphrasie more than expected).
Fields of papers citing papers by Daniel Euphrasie
This network shows the impact of papers produced by Daniel Euphrasie. 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 Daniel Euphrasie. The network helps show where Daniel Euphrasie may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Euphrasie, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 75 | |
| 2 | 2015 | 68 | |
| 3 | 2010 | 66 | |
| 4 | 2017 | 63 | |
| 5 | 2019 | 56 | |
| 6 | 2007 | 47 | |
| 7 | 2008 | 40 | |
| 8 | 2008 | 37 | |
| 9 | 2019 | 36 | |
| 10 | 2008 | 32 | |
| 11 | 2006 | 28 | |
| 12 | 2007 | 27 | |
| 13 | 2021 | 27 | |
| 14 | 2021 | 22 | |
| 15 | 2008 | 19 | |
| 16 | 2015 | 18 | |
| 17 | 2017 | 18 | |
| 18 | 2011 | 16 | |
| 19 | 2013 | 16 | |
| 20 | 2019 | 16 |
About Daniel Euphrasie
Daniel Euphrasie is a scholar working on Microbiology, Infectious Diseases, Epidemiology, Molecular Medicine and Endocrinology, having authored 27 papers that have together received 781 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (8 papers), Bacterial Infections and Vaccines (7 papers), Tuberculosis Research and Epidemiology (6 papers), Antibiotic Resistance in Bacteria (4 papers), Bacteriophages and microbial interactions (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Genomics and Phylogenetic Studies (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Microbiology (144 citations), Infectious Diseases (308 citations), Molecular Medicine (80 citations), Endocrinology (74 citations) and Epidemiology (330 citations). Daniel Euphrasie has collaborated with scholars based in France, Italy and Belgium. Frequent co-authors include Jean‐Marc Reyrat, Anne Jamet, Xavier Nassif, Gilles Etienne, Alain Charbit, Mathieu Coureuil, Mamadou Daffé, Caroline Deshayes, Dana Kocíncová and Jean‐Philippe Barnier. Their work appears in journals such as PLoS Pathogens, The Journal of Infectious Diseases, Molecular Microbiology, Journal of Bacteriology and Vaccine.
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.