Olivier Gascuel

67.5k total citations · 12 hit papers
136 papers, 46.4k citations indexed

About

Olivier Gascuel is a scholar working on Molecular Biology, Genetics and Paleontology. According to data from OpenAlex, Olivier Gascuel has authored 136 papers receiving a total of 46.4k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 59 papers in Genetics and 29 papers in Paleontology. Recurrent topics in Olivier Gascuel's work include Genomics and Phylogenetic Studies (71 papers), Genetic diversity and population structure (43 papers) and Evolution and Paleontology Studies (29 papers). Olivier Gascuel is often cited by papers focused on Genomics and Phylogenetic Studies (71 papers), Genetic diversity and population structure (43 papers) and Evolution and Paleontology Studies (29 papers). Olivier Gascuel collaborates with scholars based in France, United Kingdom and New Zealand. Olivier Gascuel's co-authors include Stéphane Guindon, Maria Anisimova, Vincent Lefort, Jean-François Dufayard, Wim Hordijk, Si Quang Le, Jean-Emmanuel Longueville, Richard Desper, François Chevenet and Valentin Guignon and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Olivier Gascuel

132 papers receiving 45.7k citations

Hit Papers

A Simple, Fast, and Accur... 2003 2026 2010 2018 2003 2010 2008 2008 2006 4.0k 8.0k 12.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olivier Gascuel France 35 21.0k 11.1k 10.8k 8.7k 6.5k 136 46.4k
Stéphane Guindon France 21 16.3k 0.8× 10.0k 0.9× 8.8k 0.8× 8.3k 1.0× 7.3k 1.1× 39 39.8k
Bùi Quang Minh Austria 32 22.1k 1.1× 12.9k 1.2× 11.7k 1.1× 10.8k 1.2× 11.9k 1.8× 78 52.1k
Naruya Saitou Japan 45 30.6k 1.5× 12.8k 1.2× 14.6k 1.4× 10.8k 1.2× 4.2k 0.6× 199 58.9k
Alan Filipski United States 11 16.4k 0.8× 8.0k 0.7× 12.6k 1.2× 6.4k 0.7× 4.9k 0.7× 14 41.5k
Arndt von Haeseler Austria 58 28.4k 1.4× 13.8k 1.2× 13.2k 1.2× 14.1k 1.6× 12.4k 1.9× 192 61.8k
Aaron E. Darling Australia 39 15.2k 0.7× 9.6k 0.9× 8.0k 0.7× 6.4k 0.7× 7.5k 1.2× 101 34.1k
David Posada Spain 55 18.9k 0.9× 15.4k 1.4× 12.5k 1.2× 18.5k 2.1× 13.0k 2.0× 164 56.6k
Daron M. Standley Japan 36 17.9k 0.9× 7.0k 0.6× 9.0k 0.8× 5.4k 0.6× 6.6k 1.0× 113 35.8k
Kazutaka Katoh Japan 31 29.3k 1.4× 13.5k 1.2× 17.4k 1.6× 9.8k 1.1× 12.6k 1.9× 50 62.1k
Daniel S. Peterson United States 28 16.1k 0.8× 7.9k 0.7× 12.5k 1.2× 6.1k 0.7× 4.7k 0.7× 96 42.9k

Countries citing papers authored by Olivier Gascuel

Since Specialization
Citations

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

Fields of papers citing papers by Olivier Gascuel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivier Gascuel

This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Gascuel. A scholar is included among the top collaborators of Olivier Gascuel 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 Olivier Gascuel. Olivier Gascuel 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
2.
Xie, Ruopeng, Dillon C. Adam, Hu Shu, et al.. (2024). Integrating Contact Tracing Data to Enhance Outbreak Phylodynamic Inference: A Deep Learning Approach. Molecular Biology and Evolution. 41(11). 2 indexed citations
3.
Lemoine, Frédéric & Olivier Gascuel. (2024). The Bayesian Phylogenetic Bootstrap and its Application to Short Trees and Branches. Molecular Biology and Evolution. 41(11). 3 indexed citations
4.
Morel, Marie Hélène, Anna Zhukova, Frédéric Lemoine, & Olivier Gascuel. (2024). Accurate Detection of Convergent Mutations in Large Protein Alignments With ConDor. Genome Biology and Evolution. 16(4). 2 indexed citations
5.
Seabra, Sofia G., Pieter Libin, Kristof Theys, et al.. (2022). Genome-wide diversity of Zika virus: Exploring spatio-temporal dynamics to guide a new nomenclature proposal. Virus Evolution. 8(1). veac029–veac029. 5 indexed citations
6.
Amrane, Samir, Amina Bedrat, Patrícia Recordon-Pinson, et al.. (2022). Deciphering RNA G-quadruplex function during the early steps of HIV-1 infection. Nucleic Acids Research. 50(21). 12328–12343. 21 indexed citations
7.
Gascuel, Olivier, et al.. (2022). TiPS : Rapidly simulating trajectories and phylogenies from compartmental models. Methods in Ecology and Evolution. 14(2). 487–495. 2 indexed citations
8.
Lemoine, Frédéric & Olivier Gascuel. (2021). Gotree/Goalign: toolkit and Go API to facilitate the development of phylogenetic workflows. NAR Genomics and Bioinformatics. 3(3). lqab075–lqab075. 64 indexed citations
9.
Lemoine, Frédéric, et al.. (2020). COVID-Align: accurate online alignment of hCoV-19 genomes using a profile HMM. Bioinformatics. 37(12). 1761–1762. 7 indexed citations
10.
Gascuel, Olivier & Mike Steel. (2019). A Darwinian Uncertainty Principle. Systematic Biology. 69(3). 521–529. 13 indexed citations
11.
Oliva, Aude, et al.. (2019). Accounting for ambiguity in ancestral sequence reconstruction. Bioinformatics. 35(21). 4290–4297. 9 indexed citations
12.
Chang, Jia‐Ming, Evan Floden, Javier Herrero, et al.. (2019). Incorporating alignment uncertainty into Felsenstein’s phylogenetic bootstrap to improve its reliability. Bioinformatics. 37(11). 1506–1514. 8 indexed citations
13.
Lemoine, Frédéric, Vincent Lefort, Olivia Doppelt‐Azeroual, et al.. (2019). NGPhylogeny.fr: new generation phylogenetic services for non-specialists. Nucleic Acids Research. 47(W1). W260–W265. 536 indexed citations breakdown →
14.
Ishikawa, Sohta A., Anna Zhukova, Wataru Iwasaki, & Olivier Gascuel. (2019). A Fast Likelihood Method to Reconstruct and Visualize Ancestral Scenarios. Molecular Biology and Evolution. 36(9). 2069–2085. 139 indexed citations
15.
Gascuel, Olivier. (2006). Neighbor-Joining Revealed. Molecular Biology and Evolution. 23(11). 1997–2000. 200 indexed citations
16.
Elemento, Olivier & Olivier Gascuel. (2004). An exact and polynomial distance-based algorithm to reconstruct single copy tandem duplication trees. Journal of Discrete Algorithms. 3(2-4). 362–374. 2 indexed citations
17.
Guindon, Stéphane & Olivier Gascuel. (2003). A Simple, Fast, and Accurate Algorithm to Estimate Large Phylogenies by Maximum Likelihood. Systematic Biology. 52(5). 696–704. 14535 indexed citations breakdown →
18.
Elemento, Olivier & Olivier Gascuel. (2001). A Fast and Accurate Distance Algorithm to Reconstruct Tandem Duplication Trees. Bioinformatics. 18. 92–99. 6 indexed citations
19.
Gascuel, Olivier & Gilles Caraux. (1992). Statistical significance in inductive learning. European Conference on Artificial Intelligence. 435–439. 7 indexed citations
20.
Danchin, Antoine, Claudine Médigue, Olivier Gascuel, Henry Soldano, & Alain Hénaut. (1991). From data banks to data bases. Research in Microbiology. 142(7-8). 913–916. 22 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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