Maguy Eugène

3.5k total citations
52 papers, 1.7k citations indexed

About

Maguy Eugène is a scholar working on Agronomy and Crop Science, Ecology and Animal Science and Zoology. According to data from OpenAlex, Maguy Eugène has authored 52 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Agronomy and Crop Science, 27 papers in Ecology and 11 papers in Animal Science and Zoology. Recurrent topics in Maguy Eugène's work include Ruminant Nutrition and Digestive Physiology (41 papers), Agriculture Sustainability and Environmental Impact (27 papers) and Genetic and phenotypic traits in livestock (9 papers). Maguy Eugène is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (41 papers), Agriculture Sustainability and Environmental Impact (27 papers) and Genetic and phenotypic traits in livestock (9 papers). Maguy Eugène collaborates with scholars based in France, Guadeloupe and United States. Maguy Eugène's co-authors include Cécile Martin, Michel Doreau, Diego Morgavi, Harry Archimède, D. Sauvant, Jessie Guyader, C. Benchaar, Philippe Lecomte, J. Chiquette and Daniel I. Massé and has published in prestigious journals such as The Science of The Total Environment, The Journal of Physiology and Journal of Cleaner Production.

In The Last Decade

Maguy Eugène

48 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Maguy Eugène 1.3k 599 342 307 144 52 1.7k
M.A. Wattiaux 1.5k 1.2× 580 1.0× 363 1.1× 507 1.7× 93 0.6× 84 2.2k
J.L. Ellis 1.3k 1.0× 495 0.8× 491 1.4× 439 1.4× 101 0.7× 82 2.1k
C. Lee 1.6k 1.2× 527 0.9× 408 1.2× 455 1.5× 132 0.9× 19 2.1k
Kim Ominski 1.1k 0.8× 566 0.9× 503 1.5× 326 1.1× 100 0.7× 109 2.0k
S.R.O. Williams 1.6k 1.3× 684 1.1× 707 2.1× 476 1.6× 165 1.1× 78 2.4k
C.S. Pinares-Patiño 1.8k 1.4× 846 1.4× 477 1.4× 472 1.5× 266 1.8× 62 2.4k
J. Chiquette 1.4k 1.1× 351 0.6× 369 1.1× 326 1.1× 106 0.7× 35 1.8k
K. M. Wittenberg 1.8k 1.4× 565 0.9× 608 1.8× 397 1.3× 92 0.6× 92 2.5k
M.H. Deighton 1.1k 0.8× 386 0.6× 351 1.0× 390 1.3× 110 0.8× 36 1.3k
N. E. Odongo 1.9k 1.5× 442 0.7× 738 2.2× 539 1.8× 160 1.1× 96 2.7k

Countries citing papers authored by Maguy Eugène

Since Specialization
Citations

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

Fields of papers citing papers by Maguy Eugène

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maguy Eugène

This figure shows the co-authorship network connecting the top 25 collaborators of Maguy Eugène. A scholar is included among the top collaborators of Maguy Eugène 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 Maguy Eugène. Maguy Eugène 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.
Waters, Sinéad M., Paul E. Smith, D.A. Kenny, et al.. (2025). International Symposium on Ruminant Physiology: The role of rumen microbiome in the development of methane mitigation strategies for ruminant livestock. Journal of Dairy Science. 108(7). 7591–7606. 3 indexed citations
2.
Abdalla, Adibe Luiz, et al.. (2025). Enteric methane emissions and thermal comfort indexes of Nellore steers in a livestock-forestry system in the Amazon biome. Tropical Animal Health and Production. 57(7). 357–357.
3.
Ricci, Patrícia, Claudia Faverín, Verónica Ciganda, et al.. (2025). Improved prediction by enteric methane emission models in ruminant production systems by integrating climate classification. animal. 19(11). 101665–101665.
4.
Faverín, Claudia, Verónica Ciganda, Omar Cristobal-Carballo, et al.. (2024). Relevance of farm-scale indicators and tools for farmers to assess sustainability of their mixed crop-ruminant livestock systems. The Science of The Total Environment. 950. 175218–175218. 1 indexed citations
5.
Dijkstra, J., A. Bannink, Guilhermo Francklin de Souza Congio, et al.. (2024). Feed additives for methane mitigation: Modeling the impact of feed additives on enteric methane emission of ruminants—Approaches and recommendations. Journal of Dairy Science. 108(1). 356–374. 8 indexed citations
6.
Mendes, Luciano Barreto, Audrey Fanchone, Diego Morgavi, et al.. (2023). Crop-livestock-forestry systems as a strategy for mitigating greenhouse gas emissions and enhancing the sustainability of forage-based livestock systems in the Amazon biome. The Science of The Total Environment. 906. 167396–167396. 25 indexed citations
8.
Pétéra, Mélanie, Cécile Canlet, Stéphanie Durand, et al.. (2020). Inhibition of enteric methanogenesis in dairy cows induces changes in plasma metabolome highlighting metabolic shifts and potential markers of emission. Scientific Reports. 10(1). 15591–15591. 28 indexed citations
10.
Hassouna, Mélynda, Nadège Edouard, Thomas Eglin, et al.. (2019). Development of a Database to Collect Emission Values for Livestock Systems. Journal of Environmental Quality. 48(6). 1899–1906. 7 indexed citations
11.
Appuhamy, Ranga, Anne Ferlay, E. Kebreab, et al.. (2019). Individual milk fatty acids are potential predictors of enteric methane emissions from dairy cows fed a wide range of diets: Approach by meta-analysis. Journal of Dairy Science. 102(11). 10616–10631. 25 indexed citations
12.
Jeyanathan, Jeyamalar, Cécile Martin, Maguy Eugène, et al.. (2019). Bacterial direct-fed microbials fail to reduce methane emissions in primiparous lactating dairy cows. Journal of Animal Science and Biotechnology. 10(1). 41–41. 34 indexed citations
13.
14.
Guyader, Jessie, et al.. (2017). Tea saponin reduced methanogenesis in vitro but increased methane yield in lactating dairy cows. Journal of Dairy Science. 100(3). 1845–1855. 36 indexed citations
15.
Guyader, Jessie, Maguy Eugène, Pierre Nozière, et al.. (2014). Influence of rumen protozoa on methane emission in ruminants: a meta-analysis approach. animal. 8(11). 1816–1825. 117 indexed citations
16.
Nguyen, Thi Tuyet Hanh, et al.. (2012). Effects of type of ration and allocation methods on the environmental impacts of beef-production systems. Livestock Science. 145(1-3). 239–251. 65 indexed citations
17.
Benchaar, C., Gustavo A. Romero‐Pérez, P.Y. Chouinard, et al.. (2012). Supplementation of increasing amounts of linseed oil to dairy cows fed total mixed rations: Effects on digestion, ruminal fermentation characteristics, protozoal populations, and milk fatty acid composition. Journal of Dairy Science. 95(8). 4578–4590. 90 indexed citations
18.
Barré, N., Rosalie Aprelon, & Maguy Eugène. (1998). Attempts to Feed Amblyomma variegatum Ticks on Artificial Membranes. Annals of the New York Academy of Sciences. 849(1). 384–390. 9 indexed citations
19.
Eugène, Maguy, et al.. (1989). A dynamic analysis of the ventilatory response to hypoxia in man.. The Journal of Physiology. 408(1). 473–492. 3 indexed citations
20.
Carles, Joan, et al.. (1988). A dynamic analysis of the ventilatory response to carbon dioxide inhalation in man.. The Journal of Physiology. 398(1). 423–440. 5 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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