Laurent Falquet

7.2k total citations · 2 hit papers
79 papers, 4.6k citations indexed

About

Laurent Falquet is a scholar working on Molecular Biology, Plant Science and Microbiology. According to data from OpenAlex, Laurent Falquet has authored 79 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 22 papers in Plant Science and 10 papers in Microbiology. Recurrent topics in Laurent Falquet's work include Genomics and Phylogenetic Studies (16 papers), Microbial infections and disease research (10 papers) and RNA and protein synthesis mechanisms (6 papers). Laurent Falquet is often cited by papers focused on Genomics and Phylogenetic Studies (16 papers), Microbial infections and disease research (10 papers) and RNA and protein synthesis mechanisms (6 papers). Laurent Falquet collaborates with scholars based in Switzerland, Germany and France. Laurent Falquet's co-authors include Kay Hofmann, Philip Bucher, Amos Bairoch, Vassilios Ioannidis, Marco Pagni, Lorenzo Cerutti, Joachim Frey, Floriane L’Haridon, Antoine Berger and Jean‐Pierre Métraux and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Laurent Falquet

75 papers receiving 4.5k citations

Hit Papers

The PROSITE database, its... 1999 2026 2008 2017 1999 2002 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Laurent Falquet Switzerland 27 2.7k 1.2k 440 430 364 79 4.6k
Edouard de Castro Switzerland 21 3.4k 1.2× 996 0.8× 335 0.8× 455 1.1× 362 1.0× 32 5.3k
Christian J A Sigrist Switzerland 12 3.3k 1.2× 977 0.8× 280 0.6× 408 0.9× 390 1.1× 15 4.8k
Thomas Nordahl Petersen Denmark 20 3.0k 1.1× 1.1k 0.9× 365 0.8× 490 1.1× 355 1.0× 34 5.3k
Jean‐Charles Sanchez Switzerland 5 3.6k 1.3× 1.1k 0.9× 288 0.7× 433 1.0× 616 1.7× 6 5.4k
Yoshitaka Moriwaki Japan 13 3.7k 1.4× 649 0.5× 531 1.2× 615 1.4× 402 1.1× 32 5.5k
Nicola Buso United Kingdom 5 3.1k 1.1× 944 0.8× 355 0.8× 594 1.4× 421 1.2× 5 5.2k
Fábio Madeira United Kingdom 9 3.2k 1.2× 916 0.8× 395 0.9× 600 1.4× 430 1.2× 14 5.4k
Nandana Madhusoodanan United Kingdom 5 3.0k 1.1× 898 0.7× 367 0.8× 583 1.4× 412 1.1× 5 5.0k
Tamer Gür United Kingdom 5 2.3k 0.9× 743 0.6× 264 0.6× 419 1.0× 322 0.9× 6 3.9k
Lu Yu United Kingdom 36 3.1k 1.2× 956 0.8× 512 1.2× 387 0.9× 378 1.0× 127 4.9k

Countries citing papers authored by Laurent Falquet

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Falquet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Falquet

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Falquet. A scholar is included among the top collaborators of Laurent Falquet 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 Laurent Falquet. Laurent Falquet 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
1.
Landi, Michael, Anna Vittoria Carluccio, Trushar Shah, et al.. (2025). Genome-wide comparison reveals large structural variants in cassava landraces. BMC Genomics. 26(1). 362–362.
2.
Baby, Vincent, Chloé Ambroset, Patrice Gaurivaud, et al.. (2023). Comparative genomics of Mycoplasma feriruminatoris, a fast-growing pathogen of wild Caprinae. Microbial Genomics. 9(10). 2 indexed citations
3.
Falquet, Laurent, et al.. (2023). Biological hydrogen cyanide emission globally impacts the physiology of both HCN-emitting and HCN-perceiving Pseudomonas. mBio. 14(5). e0085723–e0085723. 11 indexed citations
4.
Thoms, Matthias, Benjamin H.S. Lau, Jingdong Cheng, et al.. (2023). Structural insights into coordinating 5S RNP rotation with ITS2 pre‐ RNA processing during ribosome formation. EMBO Reports. 24(12). e57984–e57984. 6 indexed citations
5.
Gisel, Andreas, Livia Stavolone, Michael Landi, et al.. (2023). EpiCass and CassavaNet4Dev Advanced Bioinformatics Workshop. EMBnet journal. 29. e1045–e1045. 1 indexed citations
6.
Landi, Michael, Trushar Shah, Laurent Falquet, et al.. (2023). Haplotype-resolved genome of heterozygous African cassava cultivar TMEB117 (Manihot esculenta). Scientific Data. 10(1). 887–887. 8 indexed citations
7.
Léo, Stefano, Laure F. Pittet, Nicole L. Messina, et al.. (2023). Metagenomics analysis of the neonatal intestinal resistome. Frontiers in Pediatrics. 11. 1169651–1169651. 8 indexed citations
8.
Giudice, Emmanuel, Hatice Akarsu, Patricia Bordes, et al.. (2022). Substrate recognition and cryo-EM structure of the ribosome-bound TAC toxin of Mycobacterium tuberculosis. Nature Communications. 13(1). 2641–2641. 9 indexed citations
10.
Akarsu, Hatice, et al.. (2019). TASmania: A bacterial Toxin-Antitoxin Systems database. PLoS Computational Biology. 15(4). e1006946–e1006946. 87 indexed citations
11.
Akarsu, Hatice, Lisandra Aguilar‐Bultet, & Laurent Falquet. (2019). deltaRpkm: an R package for a rapid detection of differential gene presence between related bacterial genomes. BMC Bioinformatics. 20(1). 621–621. 3 indexed citations
12.
Bürki, Sibylle, et al.. (2019). Large-Scale Analysis of the Mycoplasma bovis Genome Identified Non-essential, Adhesion- and Virulence-Related Genes. Frontiers in Microbiology. 10. 2085–2085. 22 indexed citations
13.
Thoms, Matthias, Valentin Mitterer, Lukas Kater, et al.. (2018). Suppressor mutations in Rpf2–Rrs1 or Rpl5 bypass the Cgr1 function for pre-ribosomal 5S RNP-rotation. Nature Communications. 9(1). 4094–4094. 21 indexed citations
14.
Djordjevic, Steven P., Piklu Roy Chowdhury, Pamela Nicholson, et al.. (2017). Clostridium chauvoei, an Evolutionary Dead-End Pathogen. Frontiers in Microbiology. 8. 1054–1054. 31 indexed citations
15.
Ardissone, Silvia, Peter Redder, Giancarlo Russo, et al.. (2016). Cell Cycle Constraints and Environmental Control of Local DNA Hypomethylation in α-Proteobacteria. PLoS Genetics. 12(12). e1006499–e1006499. 17 indexed citations
16.
Pagni, Marco, et al.. (2016). The salivary microbiome for differentiating individuals: proof of principle. Microbes and Infection. 18(6). 399–405. 79 indexed citations
17.
Aguilar‐Bultet, Lisandra & Laurent Falquet. (2015). Sequencing and de novo assembly of bacterial genomes: an approach to study new pathogens.. Revista de salud animal. 37(2). 125–132.
18.
Aguilar‐Bultet, Lisandra & Laurent Falquet. (2015). Secuenciación y ensamblaje de novo de genomas bacterianos: una alternativa para el estudio de nuevos patógenos. Revista de salud animal. 37(2). 125–132. 5 indexed citations
19.
Frey, Joachim & Laurent Falquet. (2014). Patho-genetics of Clostridium chauvoei. Research in Microbiology. 166(4). 384–392. 40 indexed citations

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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