Frédéric Lauber

559 total citations
10 papers, 289 citations indexed

About

Frédéric Lauber is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Frédéric Lauber has authored 10 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Molecular Biology and 6 papers in Ecology. Recurrent topics in Frédéric Lauber's work include Bacteriophages and microbial interactions (6 papers), Bacterial Genetics and Biotechnology (6 papers) and Genomics and Phylogenetic Studies (4 papers). Frédéric Lauber is often cited by papers focused on Bacteriophages and microbial interactions (6 papers), Bacterial Genetics and Biotechnology (6 papers) and Genomics and Phylogenetic Studies (4 papers). Frédéric Lauber collaborates with scholars based in Belgium, United Kingdom and United States. Frédéric Lauber's co-authors include Susan M. Lea, Justin C. Deme, Ben C. Berks, Francesco Renzi, Guy R. Cornelis, Andreas Kjær, Felicity Alcock, Steven Johnson, Rory Hennell James and Augustinas Silale and has published in prestigious journals such as Nature, Journal of Molecular Biology and Scientific Reports.

In The Last Decade

Frédéric Lauber

9 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frédéric Lauber Belgium 7 174 96 54 45 40 10 289
Brigitte A. Cowell United States 8 293 1.7× 71 0.7× 17 0.3× 16 0.4× 95 2.4× 8 437
Richard N. Besingi United States 9 181 1.0× 120 1.3× 91 1.7× 78 1.7× 92 2.3× 10 394
Zhicang Ye China 7 202 1.2× 21 0.2× 12 0.2× 29 0.6× 15 0.4× 9 338
T.V. Chernovskaya Russia 9 165 0.9× 197 2.1× 5 0.1× 28 0.6× 41 1.0× 15 345
Karthikeyan Sivaraman United States 9 153 0.9× 64 0.7× 11 0.2× 44 1.0× 17 0.4× 16 273
Elizabeth Gebregeorgis United States 5 126 0.7× 39 0.4× 6 0.1× 12 0.3× 14 0.3× 5 194
M. Ozaki Japan 5 460 2.6× 160 1.7× 47 0.9× 86 1.9× 51 1.3× 6 576
Xiaoran Shang United States 9 179 1.0× 72 0.8× 15 0.3× 149 3.3× 5 0.1× 9 288
Iain J. Berry Australia 8 104 0.6× 25 0.3× 5 0.1× 89 2.0× 36 0.9× 10 316
Michael J. Boersma United States 7 165 0.9× 136 1.4× 4 0.1× 66 1.5× 62 1.6× 7 329

Countries citing papers authored by Frédéric Lauber

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Lauber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Lauber

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Lauber. A scholar is included among the top collaborators of Frédéric Lauber 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 Frédéric Lauber. Frédéric Lauber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Smet, Tom De, Miguel Ángel Vences‐Guzmán, Frédéric Lauber, et al.. (2025). TamL is a Key Player of the Outer Membrane Homeostasis in Bacteroidota. Journal of Molecular Biology. 437(10). 169063–169063.
2.
Smet, Tom De, Frédéric Lauber, Marc Dieu, et al.. (2025). LolA and LolB are conserved in Bacteroidota and are crucial for gliding motility and Type IX secretion. Communications Biology. 8(1). 376–376. 1 indexed citations
3.
Lauber, Frédéric, Justin C. Deme, Andreas Kjær, et al.. (2024). Structural insights into the mechanism of protein transport by the Type 9 Secretion System translocon. Nature Microbiology. 9(4). 1089–1102. 13 indexed citations
4.
James, Rory Hennell, Justin C. Deme, Andreas Kjær, et al.. (2021). Structure and mechanism of the proton-driven motor that powers type 9 secretion and gliding motility. Nature Microbiology. 6(2). 221–233. 55 indexed citations
5.
James, Rory Hennell, Justin C. Deme, Andreas Kjær, et al.. (2020). Structure of a Proton-Powered Motor that Drives Protein Transport and Gliding Motility. SSRN Electronic Journal. 2 indexed citations
6.
Lauber, Frédéric, Justin C. Deme, Susan M. Lea, & Ben C. Berks. (2018). Type 9 secretion system structures reveal a new protein transport mechanism. Nature. 564(7734). 77–82. 133 indexed citations
7.
Renzi, Francesco, Irina Sadovskaya, Frédéric Lauber, et al.. (2016). Evidence for a LOS and a capsular polysaccharide in Capnocytophaga canimorsus. Scientific Reports. 6(1). 38914–38914. 19 indexed citations
8.
Renzi, Francesco, et al.. (2016). Inactivation of human coagulation factor X by a protease of the pathogen Capnocytophaga canimorsus. Journal of Thrombosis and Haemostasis. 15(3). 487–499. 10 indexed citations
9.
Lauber, Frédéric, Guy R. Cornelis, & Francesco Renzi. (2016). Identification of a New Lipoprotein Export Signal in Gram-Negative Bacteria. mBio. 7(5). 29 indexed citations
10.
Manfredi, Pablo, et al.. (2014). New Iron Acquisition System in Bacteroidetes. Infection and Immunity. 83(1). 300–310. 27 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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