Daniel Euphrasie

973 citations
25 papers · 744 · h-index 17

Impact in

Papers in

Daniel Euphrasie

25 papers receiving 734 citations

Peers

Daniel Euphrasie
Comparison fields: 5 of 78
  • Microbiology 137
  • Infectious Diseases 290
  • Molecular Medicine 77
  • Endocrinology 70
  • Epidemiology 317
Replace Caroline Deshayes with:
Caroline Deshayes France
Perrine Bomme France
Ofelia Chacón United States
Takaaki Horii Japan
Aileen Rubio United States
Umender Sharma India
Antoine de Saizieu Switzerland
Govindsamy Vediyappan United States
Jane Newcombe United Kingdom
Martine Fourgeaud France
Daniel Euphrasie relative to Caroline Deshayes France Caroline Deshayes's profile →
Citations per field
00.5×2.8×
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 200573
2 201566
3 201065
4 201762
5 201951
6 200746
7 200840
8 200837
9 201934
10 200830
11 200628
12 200727
13 202125
14 202124
15 201718
16 201518
17 201916
18 201316
19 201116
20 200816

About Daniel Euphrasie

Daniel Euphrasie is a scholar working on Epidemiology, Infectious Diseases, Microbiology, Molecular Biology and Ecology, having authored 25 papers that have together received 744 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), Genomics and Phylogenetic Studies (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Microbiology (137 citations), Infectious Diseases (290 citations), Molecular Medicine (77 citations), Endocrinology (70 citations) and Epidemiology (317 citations). Daniel Euphrasie has collaborated with scholars based in France, Belgium and Canada. Frequent co-authors include Jean‐Marc Reyrat, Anne Jamet, Xavier Nassif, Gilles Etienne, Alain Charbit, Mamadou Daffé, Mathieu Coureuil, Caroline Deshayes, Dana Kocíncová and Jean‐Philippe Barnier. Their work appears in journals such as PLoS Pathogens, Journal of Bacteriology, The Journal of Infectious Diseases, Molecular Microbiology and Microbes and Infection.

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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