Manuel Lafond
Impact in
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- Genetic diversity and population structure
- Genome Rearrangement Algorithms
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- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
Papers in
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- Genomics and Phylogenetic Studies 21
- Bioinformatics and Genomic Networks 7
- Gene expression and cancer classification 4
- Genetics 13
- Genome Rearrangement Algorithms 9
- Genetic diversity and population structure 6
- Co-authors
- Nadia El-Mabrouk (13 shared papers)Riccardo Dondi (3 shared papers)Éric Tannier (3 shared papers)Céline Scornavacca (3 shared papers)Cédric Chauve (4 shared papers)David Sankoff (1 shared paper)Aïda Ouangraoua (5 shared papers)Bastien Boussau (2 shared papers)
In The Last Decade
Manuel Lafond
31 papers receiving 224 citations
Peers
Comparison fields: 5 of 42
- Genetics 95
- Molecular Biology 160
- Plant Science 73
- Computational Theory and Mathematics 30
- Paleontology 11
Countries citing papers authored by Manuel Lafond
This map shows the geographic impact of Manuel Lafond'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 Manuel Lafond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Lafond more than expected).
Fields of papers citing papers by Manuel Lafond
This network shows the impact of papers produced by Manuel Lafond. 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 Manuel Lafond. The network helps show where Manuel Lafond may publish in the future.
Co-authors
The 25 scholars most cited alongside Manuel Lafond, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 28 | |
| 2 | 2014 | 22 | |
| 3 | 2016 | 17 | |
| 4 | 2020 | 15 | |
| 5 | 2013 | 15 | |
| 6 | 2018 | 14 | |
| 7 | 2017 | 12 | |
| 8 | 2019 | 10 | |
| 9 | 1988 | 10 | |
| 10 | 2020 | 9 | |
| 11 | 2014 | 9 | |
| 12 | 2017 | 8 | |
| 13 | 2017 | 6 | |
| 14 | 2015 | 5 | |
| 15 | 2018 | 4 | |
| 16 | 2020 | 4 | |
| 17 | Efficient gene tree correction guided by species and synteny evolution | 2015 | 4 |
| 18 | 2021 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2017 | 3 |
About Manuel Lafond
Manuel Lafond is a scholar working on Molecular Biology, Genetics, Computational Theory and Mathematics, Plant Science and Artificial Intelligence, having authored 37 papers that have together received 225 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (21 papers), Genome Rearrangement Algorithms (9 papers), Advanced Graph Theory Research (8 papers), Bioinformatics and Genomic Networks (7 papers), Chromosomal and Genetic Variations (6 papers), Genetic diversity and population structure (6 papers), Algorithms and Data Compression (5 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Genetics (95 citations), Molecular Biology (160 citations), Plant Science (73 citations), Computational Theory and Mathematics (30 citations) and Paleontology (11 citations). Manuel Lafond has collaborated with scholars based in Canada, France and Italy. Frequent co-authors include Nadia El-Mabrouk, Riccardo Dondi, Éric Tannier, Céline Scornavacca, Cédric Chauve, David Sankoff, Aïda Ouangraoua, Bastien Boussau, Jonathan Séguin and Laurent Guéguen. Their work appears in journals such as Algorithms for Molecular Biology, Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Algorithmica and BMC Bioinformatics.
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.