Laetitia Houot

28 total papers · 769 total citations
20 papers, 613 citations indexed

About

Laetitia Houot is a scholar working on Molecular Biology, Endocrinology and Genetics. According to data from OpenAlex, Laetitia Houot has authored 20 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Endocrinology and 10 papers in Genetics. Recurrent topics in Laetitia Houot's work include Bacterial Genetics and Biotechnology (10 papers), Vibrio bacteria research studies (10 papers) and Bacterial biofilms and quorum sensing (6 papers). Laetitia Houot is often cited by papers focused on Bacterial Genetics and Biotechnology (10 papers), Vibrio bacteria research studies (10 papers) and Bacterial biofilms and quorum sensing (6 papers). Laetitia Houot collaborates with scholars based in France, United States and Morocco. Laetitia Houot's co-authors include Paula I. Watnick, Franck Chauvat, Corinne Cassier‐Chauvat, Cédric Absalon, Sarah Chang, Bradley Pickering, Denis Duché, Roland Lloubès, Pierre Legrain and Magali Michaut and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Applied and Environmental Microbiology.

In The Last Decade

Laetitia Houot

19 papers receiving 605 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Laetitia Houot 398 194 152 138 100 20 613
Heidi Hyytiäinen 353 0.9× 86 0.4× 136 0.9× 186 1.3× 36 0.4× 16 679
N. R. Baker 348 0.9× 84 0.4× 54 0.4× 74 0.5× 51 0.5× 17 612
Marianne Valdebenito 277 0.7× 137 0.7× 89 0.6× 157 1.1× 42 0.4× 10 645
Julia Bos 396 1.0× 70 0.4× 90 0.6× 178 1.3× 34 0.3× 19 693
Marta Fontes 387 1.0× 65 0.3× 103 0.7× 139 1.0× 32 0.3× 18 542
Thammajun L. Wood 389 1.0× 103 0.5× 210 1.4× 144 1.0× 37 0.4× 17 692
Ameya A. Mashruwala 509 1.3× 67 0.3× 69 0.5× 115 0.8× 97 1.0× 19 696
Christoph Engl 442 1.1× 106 0.5× 160 1.1× 297 2.2× 27 0.3× 22 649
Francisco Javier Marcos‐Torres 399 1.0× 80 0.4× 232 1.5× 156 1.1× 9 0.1× 15 667
Sabine Chenivesse 242 0.6× 191 1.0× 261 1.7× 76 0.6× 16 0.2× 17 556

Countries citing papers authored by Laetitia Houot

Since Specialization
Citations

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

Fields of papers citing papers by Laetitia Houot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laetitia Houot

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

All Works

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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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