Ludovic Orlando

44.5k total citations · 6 hit papers
151 papers, 11.9k citations indexed

About

Ludovic Orlando is a scholar working on Genetics, Ecology and Molecular Biology. According to data from OpenAlex, Ludovic Orlando has authored 151 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Genetics, 55 papers in Ecology and 49 papers in Molecular Biology. Recurrent topics in Ludovic Orlando's work include Forensic and Genetic Research (47 papers), Genetic diversity and population structure (44 papers) and Archaeology and ancient environmental studies (34 papers). Ludovic Orlando is often cited by papers focused on Forensic and Genetic Research (47 papers), Genetic diversity and population structure (44 papers) and Archaeology and ancient environmental studies (34 papers). Ludovic Orlando collaborates with scholars based in Denmark, France and United States. Ludovic Orlando's co-authors include Mikkel Schubert, Eske Willerslev, Stinus Lindgreen, M. Thomas P. Gilbert, Aurélien Ginolhac, Hákon Jónsson, Morten Rasmussen, Philip L. Johnson, Philip Francis Thomsen and Jos Kielgast and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Ludovic Orlando

149 papers receiving 11.6k citations

Hit Papers

AdapterRemoval v2: rapid adapter trimming, id... 2007 2026 2013 2019 2016 2013 2011 2007 2007 250 500 750 1000

Peers

Ludovic Orlando
Beth Shapiro United States
Nadin Rohland United States
Ian Barnes United Kingdom
Alan R. Rogers United States
Beth Shapiro United States
Ludovic Orlando
Citations per year, relative to Ludovic Orlando Ludovic Orlando (= 1×) peers Beth Shapiro

Countries citing papers authored by Ludovic Orlando

Since Specialization
Citations

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

Fields of papers citing papers by Ludovic Orlando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ludovic Orlando

This figure shows the co-authorship network connecting the top 25 collaborators of Ludovic Orlando. A scholar is included among the top collaborators of Ludovic Orlando 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 Ludovic Orlando. Ludovic Orlando 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.
Liu, Xuexue, Jianfei Pan, Yanli Zhang, et al.. (2025). Selection at the GSDMC locus in horses and its implications for human mobility. Science. 389(6763). 925–930. 1 indexed citations
2.
Orlando, Ludovic, Magnus Åbrink, Brandon D. Velie, et al.. (2024). An endothelial regulatory module links blood pressure regulation with elite athletic performance. PLoS Genetics. 20(6). e1011285–e1011285. 1 indexed citations
3.
Pryor, Alexander J.E., Carly Ameen, James A. Milton, et al.. (2024). Isotopic biographies reveal horse rearing and trading networks in medieval London. Science Advances. 10(12). eadj5782–eadj5782. 1 indexed citations
4.
Nota, Kevin, Ludovic Orlando, Matteo Girardi, et al.. (2024). Enriching barcoding markers in environmental samples utilizing a phylogenetic probe design: Insights from mock communities. Environmental DNA. 6(4). 2 indexed citations
5.
Sutcliffe, Richard F. E., Aude Perdereau, Jean‐Marc Aury, et al.. (2023). Imputed genomes of historical horses provide insights into modern breeding. iScience. 26(7). 107104–107104. 3 indexed citations
6.
Outram, Alan K., Robin Bendrey, Richard P. Evershed, Ludovic Orlando, & Victor F. Zaibert. (2021). Rebuttal of Taylor and Barrón-Ortiz 2021 Rethinking the evidence for early horse domestication at Botai. Open Research Exeter (University of Exeter). 3 indexed citations
7.
Orlando, Ludovic, Robin G. Allaby, Pontus Skoglund, et al.. (2021). Ancient DNA analysis. Nature Reviews Methods Primers. 1(1). 169 indexed citations breakdown →
8.
Gauthier, Jérémy, Samuel Neuenschwander, Lauri Kaila, et al.. (2020). Museomics identifies genetic erosion in two butterfly species across the 20th century in Finland. Molecular Ecology Resources. 20(5). 1191–1205. 38 indexed citations
9.
Hanghøj, Kristian, Gabriel Renaud, Anders Albrechtsen, & Ludovic Orlando. (2019). DamMet: ancient methylome mapping accounting for errors, true variants, and post-mortem DNA damage. GigaScience. 8(4). 17 indexed citations
10.
Janečka, Jan E., Brian W. Davis, Sharmila Ghosh, et al.. (2018). Horse Y chromosome assembly displays unique evolutionary features and putative stallion fertility genes. Nature Communications. 9(1). 2945–2945. 55 indexed citations
11.
Renaud, Gabriel, Bent Petersen, Andaine Seguin‐Orlando, et al.. (2018). Improved de novo genomic assembly for the domestic donkey. Science Advances. 4(4). eaaq0392–eaaq0392. 34 indexed citations
12.
Pedersen, Casper‐Emil Tingskov, Anders Albrechtsen, Paul D. Etter, et al.. (2018). A southern African origin and cryptic structure in the highly mobile plains zebra. Nature Ecology & Evolution. 2(3). 491–498. 28 indexed citations
13.
Leonardi, Michela, Francesco Boschin, Robert Beyer, et al.. (2018). Late Quaternary horses in Eurasia in the face of climate and vegetation change. Science Advances. 4(7). eaar5589–eaar5589. 23 indexed citations
14.
Lefébure, Tristan, Claire Morvan, Florian Malard, et al.. (2017). Less effective selection leads to larger genomes. Genome Research. 27(6). 1016–1028. 63 indexed citations
15.
Sigsgaard, Eva Egelyng, Ida Broman Nielsen, Steffen Bach, et al.. (2016). Population characteristics of a large whale shark aggregation inferred from seawater environmental DNA. Nature Ecology & Evolution. 1(1). 4–4. 222 indexed citations
16.
Jónsson, Hákon, Aurélien Ginolhac, Mikkel Schubert, Philip L. Johnson, & Ludovic Orlando. (2013). mapDamage2.0: fast approximate Bayesian estimates of ancient DNA damage parameters. Bioinformatics. 29(13). 1682–1684. 934 indexed citations breakdown →
17.
Martin, Michael D., Enrico Cappellini, José Alfredo Samaniego Castruita, et al.. (2013). Reconstructing genome evolution in historic samples of the Irish potato famine pathogen. Nature Communications. 4(1). 2172–2172. 92 indexed citations
18.
Ginolhac, Aurélien, Morten Rasmussen, M. Thomas P. Gilbert, Eske Willerslev, & Ludovic Orlando. (2011). mapDamage: testing for damage patterns in ancient DNA sequences. Bioinformatics. 27(15). 2153–2155. 233 indexed citations
19.
Krause, Johannes, Carles Lalueza‐Fox, Ludovic Orlando, et al.. (2007). The Derived FOXP2 Variant of Modern Humans Was Shared with Neandertals. Current Biology. 17(21). 1908–1912. 315 indexed citations breakdown →
20.
Orlando, Ludovic. (2005). L'anti-Jurassic Park : Faire parler l'ADN fossile. 3 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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