Matthieu Leray

5.1k total citations · 2 hit papers
50 papers, 3.1k citations indexed

About

Matthieu Leray is a scholar working on Ecology, Molecular Biology and Global and Planetary Change. According to data from OpenAlex, Matthieu Leray has authored 50 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Ecology, 26 papers in Molecular Biology and 12 papers in Global and Planetary Change. Recurrent topics in Matthieu Leray's work include Coral and Marine Ecosystems Studies (26 papers), Environmental DNA in Biodiversity Studies (22 papers) and Microbial Community Ecology and Physiology (16 papers). Matthieu Leray is often cited by papers focused on Coral and Marine Ecosystems Studies (26 papers), Environmental DNA in Biodiversity Studies (22 papers) and Microbial Community Ecology and Physiology (16 papers). Matthieu Leray collaborates with scholars based in United States, Panama and France. Matthieu Leray's co-authors include Nancy­ Knowlton­, Ryuji J. Machida, Suzanne C. Mills, Chris Meyer, J. T. Boehm, Joy Yang, Vincent Ranwez, Bryan Nguyen, Andrew H. Altieri and Russell J. Schmitt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Matthieu Leray

45 papers receiving 3.1k citations

Hit Papers

A new versatile primer set targeting a short fragment of ... 2013 2026 2017 2021 2013 2015 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthieu Leray United States 24 2.7k 1.8k 540 438 339 50 3.1k
Owen S. Wangensteen Spain 29 2.6k 1.0× 1.9k 1.1× 426 0.8× 391 0.9× 319 0.9× 80 3.1k
Ryuji J. Machida Taiwan 19 1.9k 0.7× 1.5k 0.8× 320 0.6× 380 0.9× 200 0.6× 43 2.4k
Jean‐François Flot Belgium 28 1.6k 0.6× 930 0.5× 644 1.2× 545 1.2× 492 1.5× 88 2.9k
Filipe O. Costa Portugal 29 1.8k 0.6× 1.3k 0.7× 678 1.3× 706 1.6× 501 1.5× 88 2.8k
Michael Stat Australia 40 4.6k 1.7× 1.8k 1.0× 999 1.9× 2.0k 4.6× 273 0.8× 73 5.0k
Martin Schlegel Germany 30 1.6k 0.6× 1.7k 1.0× 334 0.6× 459 1.0× 97 0.3× 91 2.6k
W. Lindsay Chadderton United States 25 3.2k 1.2× 1.9k 1.0× 507 0.9× 173 0.4× 1.3k 3.7× 50 3.7k
Eric Pante France 19 1.3k 0.5× 461 0.3× 652 1.2× 614 1.4× 457 1.3× 52 2.0k
Michael J. Raupach Germany 25 1.3k 0.5× 628 0.3× 393 0.7× 725 1.7× 189 0.6× 61 1.9k
Marc Rius South Africa 31 1.7k 0.6× 687 0.4× 1.6k 3.0× 948 2.2× 253 0.7× 70 2.9k

Countries citing papers authored by Matthieu Leray

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Leray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Leray

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Leray. A scholar is included among the top collaborators of Matthieu Leray 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 Matthieu Leray. Matthieu Leray 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.
Pappalardo, Paula, Jan M. Hemmi, Ryuji J. Machida, et al.. (2025). Taxon‐specific BLAST percent identity thresholds for identification of unknown sequences using metabarcoding. Methods in Ecology and Evolution. 16(10). 2380–2394.
2.
O’Dea, Aaron, Erin Dillon, Simon J. Brandl, et al.. (2025). Prehistoric archives reveal evidence of predator loss and prey release in Caribbean reef fish communities. Proceedings of the National Academy of Sciences. 122(27). e2503986122–e2503986122. 1 indexed citations
4.
Seymour, Mathew, Gert‐Jan Jeunen, Micaela Hellström, et al.. (2024). The First International eDNA Workshop in Hong Kong: A beginner's guide for the next‐generation eDNA researcher. Environmental DNA. 6(3). 1 indexed citations
5.
McIlroy, Shelby E., J. Emmett Duffy, Jerome H. L. Hui, et al.. (2024). Life goes on: Spatial heterogeneity promotes biodiversity in an urbanized coastal marine ecosystem. Global Change Biology. 30(4). e17248–e17248. 2 indexed citations
6.
Simon‐Blecher, Noa, Tirza Doniger, Matthieu Leray, et al.. (2022). Evaluating biodiversity for coral reef reformation and monitoring on complex 3D structures using environmental DNA (eDNA) metabarcoding. The Science of The Total Environment. 856(Pt 2). 159051–159051. 28 indexed citations
7.
Gaither, Michelle R., Joseph D. DiBattista, Matthieu Leray, & Sophie von der Heyden. (2021). Metabarcoding the marine environment: from single species to biogeographic patterns. Environmental DNA. 4(1). 3–8. 23 indexed citations
9.
Osvatic, Jay, Laetitia Wilkins, Matthieu Leray, et al.. (2021). Global biogeography of chemosynthetic symbionts reveals both localized and globally distributed symbiont groups. Proceedings of the National Academy of Sciences. 118(29). 20 indexed citations
10.
Johnson, Maggie D., et al.. (2021). Rapid ecosystem-scale consequences of acute deoxygenation on a Caribbean coral reef. Nature Communications. 12(1). 4522–4522. 62 indexed citations
12.
Quinn, Robert A., Heather Maughan, Louis‐Félix Nothias, et al.. (2018). Before platelets: the production of platelet-activating factor during growth and stress in a basal marine organism. Proceedings of the Royal Society B Biological Sciences. 285(1884). 20181307–20181307. 17 indexed citations
13.
Pearman, John K., Matthieu Leray, Rodrigo Villalobos, et al.. (2018). Cross-shelf investigation of coral reef cryptic benthic organisms reveals diversity patterns of the hidden majority. Scientific Reports. 8(1). 8090–8090. 61 indexed citations
14.
Leray, Matthieu, et al.. (2018). Five new records of marine shrimps (Decapoda: Caridea, Stenopodidea) from the Caribbean coast of Panama. Zootaxa. 4438(1). 128–136. 5 indexed citations
15.
Machida, Ryuji J., et al.. (2017). Metazoan mitochondrial gene sequence reference datasets for taxonomic assignment of environmental samples. Scientific Data. 4(1). 170027–170027. 128 indexed citations
16.
Leray, Matthieu & Nancy­ Knowlton­. (2016). Visualizing Patterns of Marine Eukaryotic Diversity from Metabarcoding Data Using QIIME. Methods in molecular biology. 1452. 219–235. 13 indexed citations
17.
Leray, Matthieu & Nancy­ Knowlton­. (2015). DNA barcoding and metabarcoding of standardized samples reveal patterns of marine benthic diversity. Proceedings of the National Academy of Sciences. 112(7). 2076–2081. 375 indexed citations breakdown →
18.
Leray, Matthieu, Joy Yang, Chris Meyer, et al.. (2013). A new versatile primer set targeting a short fragment of the mitochondrial COI region for metabarcoding metazoan diversity: application for characterizing coral reef fish gut contents. Frontiers in Zoology. 10(1). 34–34. 1089 indexed citations breakdown →
20.

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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