Emmanuelle Dé

85 papers receiving 2.8k citations

Peers

Emmanuelle Dé
Comparison fields: 5 of 126
  • Molecular Medicine 1.0k
  • Endocrinology 530
  • Microbiology 254
  • Molecular Biology 1.4k
  • Biotechnology 149
Replace Rodolfo García‐Contreras with:
Rodolfo García‐Contreras Mexico
Amy L. Spoering United States
Michael A. Lobritz United States
Daniel V. Zurawski United States
Giordano Rampioni Italy
Sarah E. Rowe United States
Lisa Friedman United States
Mark P. Brynildsen United States
Gee W. Lau United States
Steven T. Rutherford 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-authors

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

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015161
2 2014156
3 2001123
4 200894
5 200592
6 201189
7 200677
8 201375
9 201473
10 201872
11 201169
12 201869
13 200267
14 201163
15 201462
16 200258
17 201556
18 198554
19 199252
20 199350

About Emmanuelle Dé

Emmanuelle Dé is a scholar working on Molecular Biology, Genetics, Molecular Medicine, Endocrinology and Microbiology, having authored 87 papers that have together received 2.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (27 papers), Bacterial Genetics and Biotechnology (26 papers), Bacterial biofilms and quorum sensing (23 papers), Vibrio bacteria research studies (12 papers), Lipid Membrane Structure and Behavior (12 papers), Antimicrobial Peptides and Activities (11 papers), Bacteriophages and microbial interactions (10 papers) and Antimicrobial agents and applications (7 papers). The work is most often cited by research in Molecular Medicine (1.0k citations), Endocrinology (530 citations), Microbiology (254 citations), Molecular Biology (1.4k citations) and Biotechnology (149 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, Stéphane Alexandre, Sara Martí and H. Verachtert. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Biochemical Journal, Frontiers in Microbiology, Antimicrobial Agents and Chemotherapy and Applied and Environmental Microbiology.

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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