Sébastien Letort

1.4k citations
7 papers · 434 indexed · h-index 6
Topics
Genomics and Phylogenetic Studies (2 papers)Scientific Computing and Data Management (2 papers)Nematode management and characterization studies (1 paper)
Partner nations
FranceNiger

In The Last Decade

Sébastien Letort

7 papers receiving 426 citations

Peers

Sébastien Letort
Comparison fields: 5 of 93
  • Molecular Biology 206
  • Plant Science 141
  • Genetics 87
  • Agronomy and Crop Science 33
  • Information Systems and Management 28
Replace Yao Yao with:
Yao Yao China
Erik Ferlanti United States
Jinghui Zhang China
Andrea Caprera Italy
Mitsuteru Nakao Japan
Eric Yao United States
Yizhi Cai United Kingdom
Jan Peter Nap Netherlands
Mads Sønderkær Denmark
Olga Kunyavskaya Russia
Sébastien Letort relative to Yao Yao China Yao Yao's profile →
Citations per field
00.5×4.7×
Yao Yao · 1×
Citations per year

Countries citing papers authored by Sébastien Letort

Since Specialization
Citations

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

Fields of papers citing papers by Sébastien Letort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sébastien Letort

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 22
2 34
3 28
4 78
5 250
6
BioWorkFlow: Web Services toolkit and workflow applications evaluation to deploy a confidence network
1
7 21

About Sébastien Letort

Sébastien Letort is a scholar working on Information Systems and Management, Gender Studies and Literature and Literary Theory, having authored 7 papers that have together received 434 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Scientific Computing and Data Management (2 papers) and Nematode management and characterization studies (1 paper). The work is most often cited by research in Information Systems and Management (28 citations), Plant Science (141 citations) and Agronomy and Crop Science (33 citations). Sébastien Letort has collaborated with scholars based in France and Niger. Frequent co-authors include Sébastien Carrère, Pierre Tufféry, Hervé Ménager, Bertrand Néron, Corinne Maufrais, Nicolas Joly, Julien Maupetit, Catherine Letondal, Jérôme Gouzy and Françoise de Billy. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

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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