A. Lazdunski

2.1k citations
33 papers · 1.7k indexed · 1 hit paper · h-index 21
Topics
Bacterial Genetics and Biotechnology (20 papers)Bacterial biofilms and quorum sensing (17 papers)Antibiotic Resistance in Bacteria (9 papers)
Partner nations
FranceNetherlandsSweden

In The Last Decade

A. Lazdunski

32 papers receiving 1.7k citations

Hit Papers

A hierarchical quorum‐sensing cascade in Pseudomonas aeru...19962026200620161996100200300400500

Peers

A. Lazdunski
Comparison fields: 5 of 101
  • Molecular Biology 1.3k
  • Genetics 870
  • Molecular Medicine 381
  • Endocrinology 323
  • Ecology 228
Replace Alecksandr Kutchma with:
Alecksandr Kutchma United States
J C Boucher United States
Lynn Rust United States
Muhammad H. Rashid Japan
Zaiga Johnson United States
Etienne Maisonneuve France
Sudha Chugani United States
Geneviève Ball France
A F Morgan Australia
Tammy Latifi United States
A. Lazdunski relative to Alecksandr Kutchma United States Alecksandr Kutchma's profile →
Citations per field
00.5×1.5×
Alecksandr Kutchma · 1×
Citations per year

Countries citing papers authored by A. Lazdunski

Since Specialization
Citations

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

Fields of papers citing papers by A. Lazdunski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Lazdunski

This figure shows the co-authorship network connecting the top 25 collaborators of A. Lazdunski. A scholar is included among the top collaborators of A. Lazdunski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Lazdunski. A. Lazdunski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 45
3
A hierarchical quorum‐sensing cascade in Pseudomonas aeruginosa links the transcriptional activators LasR and RhIR (VsmR) to expression of the stationary‐phase sigma factor RpoSbreakdown →
541
4 43
5 96
6 7
7 99
8 72
9 47
10 39
11 54
12 39
13 29
14 59
15 36
16 21
17 5
18 4
19 2
20 44

About A. Lazdunski

A. Lazdunski is a scholar working on Molecular Medicine, Endocrinology and Genetics, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (20 papers), Bacterial biofilms and quorum sensing (17 papers) and Antibiotic Resistance in Bacteria (9 papers). The work is most often cited by research in Molecular Medicine (381 citations), Endocrinology (323 citations) and Genetics (870 citations). A. Lazdunski has collaborated with scholars based in France, Netherlands and Sweden. Frequent co-authors include Maryse Murgier, Marc Bally, Kan Tanaka, Maryline Foglino, Amel Latifi, Paul Williams, Alain Filloux, J. Guzzo, Jan Tommassen and Franck Duong. Their work appears in journals such as The EMBO Journal, Journal of Bacteriology and Journal of Clinical 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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