Michel Débarbouillé

6.2k citations
44 papers · 3.8k indexed · 1 hit paper · h-index 33

Michel Débarbouillé

44 papers receiving 3.7k citations

Hit Papers

New Vector for Efficient Allelic Replacement in Naturally...7642004202620112018250500750

Peers

Michel Débarbouillé
Comparison fields: 5 of 100
  • Genetics 1.9k
  • Biotechnology 497
  • Molecular Biology 2.6k
  • Infectious Diseases 692
  • Molecular Medicine 184
Replace Marta Perego with:
Marta Perego United States
Georges Rapoport France
S. Dusko Ehrlich France
Alexeï Sorokin France
Philip Youngman United States
Ján Kormanec Slovakia
Vesa P. Kontinen Finland
Junichi Sekiguchi Japan
W G Haldenwang United States
Angelika Gründling United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Michel Débarbouillé

Since Specialization
Citations

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

Fields of papers citing papers by Michel Débarbouillé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201820
2 201332
3 201329
4 201215
5 201160
6 2011154
7 200032
8
Role of BkdR, a Transcriptional Activator of the SigL-Dependent Isoleucine and Valine Degradation Pathway in Bacillus subtilis
19991
9 199766
10 199662
11 199595
12 199263
13 199116
14 199137
15 1990126
16 198715
17 198791
18 198239
19 198015
20 197959

About Michel Débarbouillé

Michel Débarbouillé is a scholar working on Genetics, Endocrinology and Biotechnology, having authored 44 papers that have together received 3.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (31 papers), RNA and protein synthesis mechanisms (15 papers), Bacteriophages and microbial interactions (14 papers), Enzyme Structure and Function (9 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial biofilms and quorum sensing (5 papers), Microbial Metabolites in Food Biotechnology (4 papers) and Enzyme Production and Characterization (4 papers). The work is most often cited by research in Genetics (1.9k citations), Biotechnology (497 citations) and Molecular Biology (2.6k citations). Michel Débarbouillé has collaborated with scholars based in France, Spain and United States. Frequent co-authors include Maryvonne Arnaud, Georges Rapoport, Arnaud Chastanet, André Klier, Rozenn Gardan, Isabelle Martin‐Verstraete, Martin A. Schwartz, Maxime Schwartz, Tarek Msadek and Michael N. Hall. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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