Vincent Dubut

2.0k total citations · 1 hit paper
38 papers, 1.6k citations indexed

About

Vincent Dubut is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Vincent Dubut has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 17 papers in Molecular Biology and 16 papers in Ecology. Recurrent topics in Vincent Dubut's work include Genetic diversity and population structure (16 papers), Fish Ecology and Management Studies (13 papers) and Identification and Quantification in Food (11 papers). Vincent Dubut is often cited by papers focused on Genetic diversity and population structure (16 papers), Fish Ecology and Management Studies (13 papers) and Identification and Quantification in Food (11 papers). Vincent Dubut collaborates with scholars based in France, Morocco and Réunion. Vincent Dubut's co-authors include Emese Meglécz, André Gilles, Nicolas Pech, Caroline Costedoat, Thibaut Malausa, Jean‐François Martin, Rémi Chappaz, Simon Blanchet, Pascal Hingamp and Jérôme G. Prunier and has published in prestigious journals such as Bioinformatics, PLoS ONE and Molecular Ecology.

In The Last Decade

Vincent Dubut

37 papers receiving 1.5k citations

Hit Papers

QDD: a user-friendly program to select microsatellite mar... 2009 2026 2014 2020 2009 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent Dubut France 18 946 565 518 309 308 38 1.6k
Nicolas C. Rochette United States 8 809 0.9× 525 0.9× 468 0.9× 312 1.0× 209 0.7× 9 1.4k
Rui Faria Portugal 22 1.4k 1.5× 634 1.1× 438 0.8× 350 1.1× 357 1.2× 61 2.0k
Anja M. Westram United Kingdom 22 1.3k 1.3× 425 0.8× 640 1.2× 350 1.1× 330 1.1× 40 1.9k
Claire Mérot Canada 19 1.0k 1.1× 537 1.0× 327 0.6× 398 1.3× 223 0.7× 36 1.5k
Matthew B. Hamilton United States 13 866 0.9× 430 0.8× 343 0.7× 469 1.5× 265 0.9× 35 1.4k
Jordan D. Satler United States 10 789 0.8× 434 0.8× 396 0.8× 503 1.6× 239 0.8× 17 1.5k
Mark J. Bagley United States 24 774 0.8× 478 0.8× 683 1.3× 140 0.5× 416 1.4× 32 1.6k
Jonathan B. Puritz United States 18 847 0.9× 548 1.0× 662 1.3× 178 0.6× 291 0.9× 30 1.6k
Bruno Nevado United Kingdom 20 509 0.5× 420 0.7× 288 0.6× 469 1.5× 198 0.6× 35 1.2k
David P. Jacobson United States 8 1.1k 1.2× 339 0.6× 520 1.0× 351 1.1× 446 1.4× 10 1.6k

Countries citing papers authored by Vincent Dubut

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Dubut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Dubut

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Dubut. A scholar is included among the top collaborators of Vincent Dubut 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 Vincent Dubut. Vincent Dubut 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
1.
Dubut, Vincent, et al.. (2024). Metabarcoding reveals waterbird diet in a French Ramsar wetland: implications for ecosystem management. Knowledge and Management of Aquatic Ecosystems. 9–9. 2 indexed citations
3.
González, Aitor, et al.. (2023). VTAM: A robust pipeline for validating metabarcoding data using controls. Computational and Structural Biotechnology Journal. 21. 1151–1156. 8 indexed citations
4.
Corse, Emmanuel, et al.. (2022). Growth variation in the endangered fish Zingel asper: Contribution of substrate quality, hydraulics, prey abundance, and water temperature. Aquatic Conservation Marine and Freshwater Ecosystems. 32(7). 1156–1170. 4 indexed citations
5.
Corse, Emmanuel, Emese Meglécz, Gaït Archambaud‐Suard, et al.. (2022). DNA metabarcoding suggests adaptive seasonal variation of individual trophic traits in a critically endangered fish. Molecular Ecology. 31(22). 5889–5908. 11 indexed citations
6.
Prunier, Jérôme G., Vincent Dubut, Charlotte Veyssière, et al.. (2020). Quantifying the individual impact of artificial barriers in freshwaters: A standardized and absolute genetic index of fragmentation. Evolutionary Applications. 13(10). 2566–2581. 11 indexed citations
7.
Blanchet, Simon, Jérôme G. Prunier, Ivan Paz‐Vinas, et al.. (2020). A river runs through it: The causes, consequences, and management of intraspecific diversity in river networks. Evolutionary Applications. 13(6). 1195–1213. 38 indexed citations
8.
Corse, Emmanuel, Christelle Tougard, Gaït Archambaud‐Suard, et al.. (2019). One‐locus‐several‐primers: A strategy to improve the taxonomic and haplotypic coverage in diet metabarcoding studies. Ecology and Evolution. 9(8). 4603–4620. 58 indexed citations
9.
Prunier, Jérôme G., Vincent Dubut, Lounès Chikhi, & Simon Blanchet. (2017). Contribution of spatial heterogeneity in effective population sizes to the variance in pairwise measures of genetic differentiation. Methods in Ecology and Evolution. 8(12). 1866–1877. 32 indexed citations
10.
Dubut, Vincent, et al.. (2014). Microsatellite primers in Parietaria judaica (Urticaceae) to assess genetic diversity and structure in urban landscapes. Applications in Plant Sciences. 2(9). 3 indexed citations
11.
Dubut, Vincent, et al.. (2012). From Late Miocene to Holocene: Processes of Differentiation within the Telestes Genus (Actinopterygii: Cyprinidae). PLoS ONE. 7(3). e34423–e34423. 34 indexed citations
12.
Malausa, Thibaut, André Gilles, Emese Meglécz, et al.. (2011). High‐throughput microsatellite isolation through 454 GS‐FLX Titanium pyrosequencing of enriched DNA libraries. Molecular Ecology Resources. 11(4). 638–644. 265 indexed citations
13.
Dubut, Vincent, Caroline Costedoat, M. Junker, et al.. (2011). Challenges of microsatellite development in Lepidoptera: Euphydryas aurinia (Nymphalidae) as a case study. HAL (Le Centre pour la Communication Scientifique Directe). 35 indexed citations
14.
Deguilloux, Marie‐France, Marie‐Hélène Pemonge, Vincent Dubut, et al.. (2010). Human ancient and extant mtDNA from the Gambier Islands (French polynesia): Evidence for an early Melanesian maternal contribution and new perspectives into the settlement of Easternmost Polynesia. American Journal of Physical Anthropology. 144(2). 248–257. 10 indexed citations
15.
Dubut, Vincent, et al.. (2009). Complete Mitochondrial Sequences for Haplogroups M23 and M46: Insights into the Asian Ancestry of the Malagasy Population. Human Biology. 81(4). 495–500. 8 indexed citations
16.
Dubut, Vincent, et al.. (2009). Inter‐ and Extra‐Indian Admixture and Genetic Diversity in Reunion Island Revealed by Analysis of Mitochondrial DNA. Annals of Human Genetics. 73(3). 314–334. 13 indexed citations
17.
18.
Dubut, Vincent, et al.. (2009). Isolation and characterization of polymorphic microsatellite loci for the dace complex: Leuciscus leuciscus (Teleostei: Cyprinidae). Molecular Ecology Resources. 9(4). 1179–1183. 14 indexed citations
20.
Dubut, Vincent, et al.. (2003). mtDNA polymorphisms in five French groups: importance of regional sampling. European Journal of Human Genetics. 12(4). 293–300. 55 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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