Emmanuelle Dé

3.5k citations
85 papers · 2.8k indexed · h-index 34

Emmanuelle Dé

83 papers receiving 2.7k citations

Peers

Emmanuelle Dé
Comparison fields: 5 of 128
  • Molecular Medicine 1.1k
  • Endocrinology 609
  • Microbiology 262
  • Molecular Biology 1.4k
  • Biotechnology 153
Replace Rodolfo García‐Contreras with:
Rodolfo García‐Contreras Mexico
Amy L. Spoering United States
Mark P. Brynildsen United States
Eliana Drenkard United States
Richard K. Phipps Denmark
Brian P. Conlon United States
Giordano Rampioni Italy
Haihua Liang China
Gee W. Lau United States
Sarah E. Rowe United States
Emmanuelle Dé relative to Rodolfo García‐Contreras Mexico Rodolfo García‐Contreras's profile →
Citations per field
00.5×1.5×
Rodolfo García‐Contreras · 1×
Citations per year

Countries citing papers authored by Emmanuelle Dé

Since Specialization
Citations

This map shows the geographic impact of Emmanuelle Dé'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 Emmanuelle Dé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuelle Dé more than expected).

Fields of papers citing papers by Emmanuelle Dé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emmanuelle Dé. 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 Emmanuelle Dé. The network helps show where Emmanuelle Dé may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Emmanuelle Dé, 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 Emmanuelle Dé Line = papers co-authored together Emmanuelle Dé links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20244
4 20233
5 20230
6 20218
7 202016
8 201823
9 201721
10 20165
11 201628
12 201518
13 201169
14 200448
15 20017
16 20018
17 2001122
18 200043
19 199824
20 199813

About Emmanuelle Dé

Emmanuelle Dé is a scholar working on Molecular Medicine, Endocrinology, Microbiology, Genetics and Molecular Biology, having authored 85 papers that have together received 2.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (29 papers), Bacterial biofilms and quorum sensing (28 papers), Bacterial Genetics and Biotechnology (28 papers), Vibrio bacteria research studies (17 papers), Lipid Membrane Structure and Behavior (13 papers), Antimicrobial Peptides and Activities (12 papers), Bacteriophages and microbial interactions (9 papers) and Salmonella and Campylobacter epidemiology (8 papers). The work is most often cited by research in Molecular Medicine (1.1k citations), Endocrinology (609 citations), Microbiology (262 citations), Molecular Biology (1.4k citations) and Biotechnology (153 citations). Emmanuelle Dé has collaborated with scholars based in France, Belgium and Spain. Frequent co-authors include Thierry Jouenne, Gérard Molle, Jean‐Marie Pagès, Yassine Nait Chabane, Nathalie Saint, Julie Hardouin, Pascal Cosette, Sara Martí, Stéphane Alexandre and H. Verachtert. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Biochemical Journal, Journal of Proteome Research, Applied and Environmental Microbiology and Antimicrobial Agents and Chemotherapy.

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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