Damien Eveillard

4.6k total citations
51 papers, 1.2k citations indexed

About

Damien Eveillard is a scholar working on Molecular Biology, Ecology and Oceanography. According to data from OpenAlex, Damien Eveillard has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 26 papers in Ecology and 12 papers in Oceanography. Recurrent topics in Damien Eveillard's work include Microbial Community Ecology and Physiology (24 papers), Microbial Metabolic Engineering and Bioproduction (15 papers) and Gene Regulatory Network Analysis (8 papers). Damien Eveillard is often cited by papers focused on Microbial Community Ecology and Physiology (24 papers), Microbial Metabolic Engineering and Bioproduction (15 papers) and Gene Regulatory Network Analysis (8 papers). Damien Eveillard collaborates with scholars based in France, United States and Chile. Damien Eveillard's co-authors include Bess B. Ward, Nicholas Bouskill, Diana M. Chien, Amal Jayakumar, Samuel Chaffron, Jérémie Bourdon, Thierry Tonon, Philippe Vandenkoornhuyse, Yvan Lagadeuc and Simon M. Dittami and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Damien Eveillard

49 papers receiving 1.2k citations

Peers

Damien Eveillard

ECOLO

OCEAN

POLLU

Astrid Gärdes Germany

T. N. R. Srinivas India

Christa B. Smith United States

Wendy K. Bellows United States

Beatriz Fernández-Gómez Spain

Yanmei Shi China

Peter Stadler Austria

Zachary Landry United States

Karen Krüger Germany

Zenghu Zhang China

Astrid Gärdes Germany

Damien Eveillard

914 ×1.4

ECOLO

419 ×0.8

534 ×1.7

OCEAN

102 ×0.6

POLLU

119 ×1.1

Citations per year, relative to Damien Eveillard Damien Eveillard (= 1×) peers Astrid Gärdes

Countries citing papers authored by Damien Eveillard

Since Specialization

Citations

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

Fields of papers citing papers by Damien Eveillard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damien Eveillard

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

All Works

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20 of 20 papers shown

Talmy, David, Cristina Howard‐Varona, Damien Eveillard, Markus W. Covert, & Matthew B. Sullivan. (2025). Viruses in multi-scale ocean models: challenges and opportunities. Frontiers in Marine Science. 12.

Aumont, Olivier, Chris Bowler, Lionel Guidi, et al.. (2025). Unveiling the link between phytoplankton molecular physiology and biogeochemical cycling via genome-scale modeling. Science Advances. 11(23). eadq3593–eadq3593. 3 indexed citations

Ramondenc, Simon, Damien Eveillard, Katja Metfies, et al.. (2025). Unveiling pelagic-benthic coupling associated with the biological carbon pump in the Fram Strait (Arctic Ocean). Nature Communications. 16(1). 840–840. 1 indexed citations

Eveillard, Damien, et al.. (2024). Datascape: exploring heterogeneous dataspace. Scientific Reports. 14(1). 7041–7041. 1 indexed citations

Eveillard, Damien, et al.. (2024). Ecological associations distribution modelling of marine plankton at a global scale. Philosophical Transactions of the Royal Society B Biological Sciences. 379(1909). 20230169–20230169. 5 indexed citations

Deutschmann, Ina Maria, Erwan Delage, Caterina R. Giner, et al.. (2024). Disentangling microbial networks across pelagic zones in the tropical and subtropical global ocean. Nature Communications. 15(1). 126–126. 13 indexed citations

Acuña, Vicente, et al.. (2023). Unveiling abundance-dependent metabolic phenotypes of microbial communities. mSystems. 8(5). e0049223–e0049223. 5 indexed citations

Doré, Hugo, Jade Leconte, Gregory K. Farrant, et al.. (2023). Differential global distribution of marine picocyanobacteria gene clusters reveals distinct niche-related adaptive strategies. The ISME Journal. 17(5). 720–732. 14 indexed citations

Lin, Yajuan, Adrian Marchetti, Hugh W. Ducklow, et al.. (2021). Decline in plankton diversity and carbon flux with reduced sea ice extent along the Western Antarctic Peninsula. Nature Communications. 12(1). 4948–4948. 36 indexed citations

10.

Murray, Alison E., Nicole E. Avalon, Karen W. Davenport, et al.. (2020). Uncovering the Core Microbiome and Distribution of Palmerolide in Synoicum adareanum Across the Anvers Island Archipelago, Antarctica. Marine Drugs. 18(6). 298–298. 12 indexed citations

11.

Mandaković, Dinka, Claudia Rojas, Jonathan Maldonado, et al.. (2018). Structure and co-occurrence patterns in microbial communities under acute environmental stress reveal ecological factors fostering resilience. Scientific Reports. 8(1). 5875–5875. 118 indexed citations

12.

Prigent, Sylvain, Clémence Frioux, Simon M. Dittami, et al.. (2017). Meneco, a Topology-Based Gap-Filling Tool Applicable to Degraded Genome-Wide Metabolic Networks. PLoS Computational Biology. 13(1). e1005276–e1005276. 50 indexed citations

13.

Budinich, Marko, Jérémie Bourdon, Abdelhalim Larhlimi, & Damien Eveillard. (2017). A multi-objective constraint-based approach for modeling genome-scale microbial ecosystems. PLoS ONE. 12(2). e0171744–e0171744. 43 indexed citations

14.

Guidi, Lionel, Samuel Chaffron, Lucie Bittner, et al.. (2016). Plankton networks driving carbon export in the oligotrophic ocean. Flanders Marine Institute (Flanders Marine Institute). 2016. 123 indexed citations

15.

Tonon, Thierry & Damien Eveillard. (2015). Marine systems biology. Frontiers in Genetics. 6. 181–181.

16.

Long, Richard A., et al.. (2012). Antagonistic interactions between heterotrophic bacteria as a potential regulator of community structure of hypersaline microbial mats. FEMS Microbiology Ecology. 83(1). 74–81. 14 indexed citations

17.

Renodon‐Cornière, Axelle, J. Nomme, Damien Eveillard, et al.. (2010). Targeting human Rad51 by specific DNA aptamers induces inhibition of homologous recombination. Biochimie. 92(12). 1832–1838. 14 indexed citations

18.

Eveillard, Damien, et al.. (2010). Hybrid modeling of biological networks: mixing temporal and qualitative biological properties. BMC Systems Biology. 4(1). 79–79. 12 indexed citations

19.

Chango, Abalo, Afif M. Abdel Nour, Souad Bousserouel, et al.. (2008). Time course gene expression in the one-carbon metabolism network using HepG2 cell line grown in folate-deficient medium. The Journal of Nutritional Biochemistry. 20(4). 312–320. 16 indexed citations

20.

Ward, Bess B., Damien Eveillard, Julie D. Kirshtein, et al.. (2007). Ammonia‐oxidizing bacterial community composition in estuarine and oceanic environments assessed using a functional gene microarray. Environmental Microbiology. 9(10). 2522–2538. 63 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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