Daniel Euphrasie

25 papers receiving 699 citations

Peers

Daniel Euphrasie
Comparison fields: 5 of 78
  • Microbiology 133
  • Molecular Medicine 78
  • Infectious Diseases 281
  • Endocrinology 67
  • Epidemiology 327
Replace Caroline Deshayes with:
Caroline Deshayes France
Dana Kocíncová Canada
Perrine Bomme France
Ravin Seepersaud United States
Ofelia Chacón United States
Martine Fourgeaud France
Umender Sharma India
Jane Newcombe United Kingdom
Antoine de Saizieu Switzerland
Rajesh Chandra India
Daniel Euphrasie relative to Caroline Deshayes France Caroline Deshayes's profile →
Citations per field
00.5×3.0×
Caroline Deshayes · 1×
Citations per year

Countries citing papers authored by Daniel Euphrasie

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Euphrasie Line = papers co-authored together Daniel Euphrasie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200568
2 201564
3 201063
4 201759
5 201949
6 200743
7 200838
8 200835
9 201934
10 200727
11 200626
12 202125
13 200825
14 202122
15 201517
16 201116
17 201716
18 201915
19 200815
20 201315

About Daniel Euphrasie

Daniel Euphrasie is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Microbiology and Molecular Medicine, having authored 25 papers that have together received 705 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (11 papers), Tuberculosis Research and Epidemiology (8 papers), Bacterial Infections and Vaccines (7 papers), Antibiotic Resistance in Bacteria (5 papers), Bacterial Genetics and Biotechnology (4 papers), Bacteriophages and microbial interactions (4 papers), Genomics and Phylogenetic Studies (4 papers) and Bacterial biofilms and quorum sensing (3 papers). The work is most often cited by research in Microbiology (133 citations), Molecular Medicine (78 citations), Infectious Diseases (281 citations), Endocrinology (67 citations) and Epidemiology (327 citations). Daniel Euphrasie has collaborated with scholars based in France, Italy and Canada. Frequent co-authors include Jean‐Marc Reyrat, Anne Jamet, Xavier Nassif, Gilles Etienne, Alain Charbit, Mathieu Coureuil, Mamadou Daffé, Caroline Deshayes, Dana Kocíncová and Françoise Laval. Their work appears in journals such as PLoS Pathogens, Molecular Microbiology, Journal of Bacteriology, The Journal of Infectious Diseases and Clinical Infectious Diseases.

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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