Maëva Labouyrie

27 total papers · 690 total citations
14 papers, 325 citations indexed

About

Maëva Labouyrie is a scholar working on Soil Science, Plant Science and Ecology. According to data from OpenAlex, Maëva Labouyrie has authored 14 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Soil Science, 5 papers in Plant Science and 4 papers in Ecology. Recurrent topics in Maëva Labouyrie's work include Soil Carbon and Nitrogen Dynamics (7 papers), Microbial Community Ecology and Physiology (4 papers) and Mycorrhizal Fungi and Plant Interactions (3 papers). Maëva Labouyrie is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (7 papers), Microbial Community Ecology and Physiology (4 papers) and Mycorrhizal Fungi and Plant Interactions (3 papers). Maëva Labouyrie collaborates with scholars based in Switzerland, Italy and Estonia. Maëva Labouyrie's co-authors include Panos Panagos, Cristiano Ballabio, Ferran Romero, Marcel G. A. van der Heijden, Alberto Orgiazzi, Arwyn Jones, Leho Tedersoo, Mohammad Bahram, Vladimir Mikryukov and Emanuele Lugato and has published in prestigious journals such as Nature, Nature Communications and The Science of The Total Environment.

In The Last Decade

Maëva Labouyrie

11 papers receiving 315 citations

Hit Papers

Patterns in soil microbia... 2023 2026 2024 2023 2024 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maëva Labouyrie 138 119 100 39 36 14 325
Vanessa Pino 155 1.1× 113 0.9× 119 1.2× 57 1.5× 24 0.7× 18 330
Yan Zhang 168 1.2× 99 0.8× 129 1.3× 54 1.4× 22 0.6× 18 350
Hanyin Sun 201 1.5× 85 0.7× 120 1.2× 52 1.3× 29 0.8× 8 321
Shuyue Fu 249 1.8× 103 0.9× 148 1.5× 39 1.0× 29 0.8× 10 361
Yutaka Oba 237 1.7× 118 1.0× 95 0.9× 52 1.3× 32 0.9× 13 354
Kristof Brenzinger 182 1.3× 98 0.8× 148 1.5× 45 1.2× 21 0.6× 17 350
Sarah Duddigan 146 1.1× 88 0.7× 80 0.8× 20 0.5× 48 1.3× 18 310
Olesya Dulya 92 0.7× 110 0.9× 92 0.9× 37 0.9× 70 1.9× 14 263
Luis R. Pérez-Alegría 219 1.6× 95 0.8× 79 0.8× 18 0.5× 34 0.9× 17 363
Jiujin Xiao 131 0.9× 85 0.7× 95 0.9× 29 0.7× 29 0.8× 22 296

Countries citing papers authored by Maëva Labouyrie

Since Specialization
Citations

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

Fields of papers citing papers by Maëva Labouyrie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maëva Labouyrie

This figure shows the co-authorship network connecting the top 25 collaborators of Maëva Labouyrie. A scholar is included among the top collaborators of Maëva Labouyrie 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 Maëva Labouyrie. Maëva Labouyrie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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