Kevin Leempoel

1.5k total citations
19 papers, 415 citations indexed

About

Kevin Leempoel is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Kevin Leempoel has authored 19 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 8 papers in Molecular Biology and 8 papers in Ecology. Recurrent topics in Kevin Leempoel's work include Genetic diversity and population structure (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). Kevin Leempoel is often cited by papers focused on Genetic diversity and population structure (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). Kevin Leempoel collaborates with scholars based in Switzerland, United Kingdom and United States. Kevin Leempoel's co-authors include Elizabeth A. Hadly, Stéphane Joost, Christian Parisod, Pascal Vittoz, Sylvie Stucki, Gianalberto Losapio, Jordana M. Meyer, Ivo Widmer, Sean D. Schoville and Jonathan Rolland and has published in prestigious journals such as Proceedings of the Royal Society B Biological Sciences, Molecular Ecology and Remote Sensing.

In The Last Decade

Kevin Leempoel

17 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Leempoel Switzerland 10 212 145 119 108 43 19 415
Yan Hao China 11 198 0.9× 180 1.2× 103 0.9× 51 0.5× 37 0.9× 22 424
Thomas J. Creedy United Kingdom 10 231 1.1× 70 0.5× 131 1.1× 108 1.0× 98 2.3× 22 458
János Nagy Hungary 10 122 0.6× 102 0.7× 78 0.7× 10 0.1× 48 1.1× 40 311
Chloé Schmidt Canada 13 228 1.1× 216 1.5× 67 0.6× 120 1.1× 87 2.0× 26 479
Amanda Xuereb Canada 10 251 1.2× 198 1.4× 75 0.6× 76 0.7× 112 2.6× 22 477
Nicolas Faivre France 12 162 0.8× 205 1.4× 127 1.1× 18 0.2× 55 1.3× 15 593
Claire Barbera France 6 186 0.9× 69 0.5× 95 0.8× 54 0.5× 123 2.9× 6 363
Daniel P. Drinan United States 11 126 0.6× 196 1.4× 92 0.8× 19 0.2× 158 3.7× 15 409
Erin C. Riordan United States 10 186 0.9× 157 1.1× 51 0.4× 191 1.8× 134 3.1× 20 464
Grey T. Coupland Australia 10 267 1.3× 115 0.8× 95 0.8× 27 0.3× 53 1.2× 23 440

Countries citing papers authored by Kevin Leempoel

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Leempoel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Leempoel

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

All Works

19 of 19 papers shown
1.
Helmstetter, Andrew J., Elton John de Lírio, Sylvia Mota de Oliveira, et al.. (2025). Toward a phylogenomic classification of magnoliids. American Journal of Botany. 112(1). e16451–e16451. 7 indexed citations
2.
Leempoel, Kevin, Rimjhim Roy Choudhury, François Felber, et al.. (2025). Locally Specific Genome‐Wide Signatures of Adaptation to Environmental Variation at High Resolution in an Alpine Plant. Molecular Ecology. 34(4). e17646–e17646.
3.
Leempoel, Kevin, et al.. (2024). Integrating very high resolution environmental proxies in genotype–environment association studies. Evolutionary Applications. 17(7). e13737–e13737. 2 indexed citations
4.
Haigh, A., Marc Gibernau, Olivier Maurin, et al.. (2022). Target sequence data shed new light on the infrafamilial classification of Araceae. American Journal of Botany. 110(2). e16117–e16117. 12 indexed citations
5.
Leempoel, Kevin, Estelle Rochat, Michel Kasser, et al.. (2021). Very high-resolution digital elevation models of la Para and les Martinets areas in the Swiss Alps. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
6.
Leempoel, Kevin, Estelle Rochat, Michel Kasser, et al.. (2021). Multiscale Very High Resolution Topographic Models in Alpine Ecology: Pros and Cons of Airborne LiDAR and Drone-Based Stereo-Photogrammetry Technologies. Remote Sensing. 13(8). 1588–1588. 9 indexed citations
7.
Meyer, Jordana M., Kevin Leempoel, Gianalberto Losapio, & Elizabeth A. Hadly. (2020). Molecular Ecological Network Analyses: An Effective Conservation Tool for the Assessment of Biodiversity, Trophic Interactions, and Community Structure. Frontiers in Ecology and Evolution. 8. 32 indexed citations
8.
Leempoel, Kevin, et al.. (2020). A comparison of eDNA to camera trapping for assessment of terrestrial mammal diversity. Proceedings of the Royal Society B Biological Sciences. 287(1918). 20192353–20192353. 100 indexed citations
9.
Sevane, Natalia, Oliver Selmoni, Elia Vajana, et al.. (2019). Rapid identification and interpretation of gene–environment associations using the new R.SamBada landscape genomics pipeline. Molecular Ecology Resources. 19(5). 1355–1365. 16 indexed citations
10.
Leempoel, Kevin, et al.. (2018). Multiscale landscape genomic models to detect signatures of selection in the alpine plant Biscutella laevigata. Ecology and Evolution. 8(3). 1794–1806. 12 indexed citations
11.
Leempoel, Kevin, et al.. (2017). Simple Rules for an Efficient Use of Geographic Information Systems in Molecular Ecology. Frontiers in Ecology and Evolution. 5. 16 indexed citations
12.
Leempoel, Kevin, et al.. (2015). Very high‐resolution digital elevation models: are multi‐scale derived variables ecologically relevant?. Methods in Ecology and Evolution. 6(12). 1373–1383. 64 indexed citations
13.
Benjelloun, Badr, Florian Alberto, Ian Streeter, et al.. (2015). Characterizing neutral genomic diversity and selection signatures in indigenous populations of Moroccan goats (Capra hircus) using WGS data. Frontiers in Genetics. 6. 107–107. 69 indexed citations
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Joost, Stéphane, Séverine Vuilleumier, Jeffrey D. Jensen, et al.. (2013). Uncovering the genetic basis of adaptive change: on the intersection of landscape genomics and theoretical population genetics. Molecular Ecology. 22(14). 3659–3665. 45 indexed citations
17.
Bourgeois, Carine, Guanghui Lin, Thomas Drouet, et al.. (2012). Test assembly mechanisms of mangrove communities using geostatistical tools: A study case in the mangrove of Gaoqiao. Flanders Marine Institute (Flanders Marine Institute). 57. 42. 1 indexed citations
18.
Leempoel, Kevin & Stéphane Joost. (2012). Relatedness and scale dependency in very high resolution digital elevation models derivatives. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 340. 1 indexed citations
19.
Leempoel, Kevin, Sylvie Stucki, Christian Parisod, & Stéphane Joost. (2011). Very high resolution digital elevation models (VHR DEMs) and multiscale landscape genomics analysis applied to an alpine plant species. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3(3). 10–14. 1 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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