Diego Morgavi

11.9k total citations · 2 hit papers
161 papers, 8.0k citations indexed

About

Diego Morgavi is a scholar working on Agronomy and Crop Science, Plant Science and Molecular Biology. According to data from OpenAlex, Diego Morgavi has authored 161 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Agronomy and Crop Science, 49 papers in Plant Science and 38 papers in Molecular Biology. Recurrent topics in Diego Morgavi's work include Ruminant Nutrition and Digestive Physiology (103 papers), Mycotoxins in Agriculture and Food (23 papers) and Plant and fungal interactions (20 papers). Diego Morgavi is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (103 papers), Mycotoxins in Agriculture and Food (23 papers) and Plant and fungal interactions (20 papers). Diego Morgavi collaborates with scholars based in France, Spain and Canada. Diego Morgavi's co-authors include Cécile Martin, Hamid Boudra, M. Doreau, K. A. Beauchemin, C. J. Newbold, Évelyne Forano, J.P. Jouany, L.M. Rode, Milka Popova and Michel Doreau and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Diego Morgavi

153 papers receiving 7.6k citations

Hit Papers

Methane mitigation in rum... 2009 2026 2014 2020 2009 2010 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Diego Morgavi 5.3k 2.0k 1.5k 1.2k 1.0k 161 8.0k
Michael K. Theodorou 4.3k 0.8× 1.6k 0.8× 1.5k 1.0× 941 0.8× 664 0.6× 163 7.5k
Amlan Kumar Patra 4.7k 0.9× 1.4k 0.7× 1.0k 0.7× 2.1k 1.8× 760 0.7× 189 8.1k
Abdelfattah Z. M. Salem 4.0k 0.7× 2.1k 1.1× 948 0.6× 1.9k 1.6× 662 0.6× 417 7.5k
A.T. Adesogan 4.7k 0.9× 1.6k 0.8× 653 0.4× 1.3k 1.2× 738 0.7× 197 7.1k
C. J. Newbold 8.8k 1.7× 1.5k 0.8× 2.9k 2.0× 1.7k 1.5× 1.7k 1.7× 245 12.2k
G. C. Waghorn 6.7k 1.3× 1.3k 0.7× 990 0.7× 2.3k 1.9× 1.8k 1.8× 142 9.9k
C. Benchaar 5.1k 1.0× 822 0.4× 630 0.4× 1.6k 1.4× 1.0k 1.0× 128 6.6k
Stuart E. Denman 2.5k 0.5× 1.2k 0.6× 2.7k 1.8× 784 0.7× 676 0.7× 106 6.4k
S. Calsamiglia 6.2k 1.2× 1.5k 0.7× 963 0.7× 2.2k 1.9× 1.4k 1.3× 125 8.2k
R. J. Wallace 4.5k 0.8× 939 0.5× 1.8k 1.2× 1.1k 0.9× 968 0.9× 132 6.9k

Countries citing papers authored by Diego Morgavi

Since Specialization
Citations

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

Fields of papers citing papers by Diego Morgavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Morgavi

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Morgavi. A scholar is included among the top collaborators of Diego Morgavi 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 Diego Morgavi. Diego Morgavi 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.
Cantalapiedra-Hijar, Gonzalo, et al.. (2025). Rumen microbiota associated with feed efficiency in beef cattle are highly influenced by diet composition. Animal nutrition. 21. 378–389. 1 indexed citations
2.
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
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.
5.
Belanche, Alejandro, A. Bannink, J. Dijkstra, et al.. (2024). Feed additives for methane mitigation: A guideline to uncover the mode of action of antimethanogenic feed additives for ruminants. Journal of Dairy Science. 108(1). 375–394. 9 indexed citations
6.
Martin, Cécile, Donato Andueza, Milka Popova, et al.. (2023). Mécanismes digestifs et métaboliques associés aux différences inter-individuelles de l’efficience alimentaire chez le bovin allaitant. SHILAP Revista de lepidopterología. 3 indexed citations
7.
Altshuler, Ianina, Arturo Vera‐Ponce de León, Juline M. Walter, et al.. (2023). Metabolic influence of core ciliates within the rumen microbiome. The ISME Journal. 17(7). 1128–1140. 30 indexed citations
8.
Popova, Milka, et al.. (2023). Relationship between feed efficiency and rumen microbiota in feedlot bulls fed contrasting diets. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
9.
Popova, Milka, et al.. (2022). In Vivo Study of Combining Asparagopsis taxiformis and Phloroglucinol to Reduce MethaneProduction and Improve Rumen Fermentation Efficiency in Goats. SPIRE - Sciences Po Institutional REpository. 3 indexed citations
10.
Popova, Milka, et al.. (2022). Rumen microbial genomics: from cells to genes (and back to cells). CABI Reviews. 5 indexed citations
11.
Jiménez, Elisabeth, Milka Popova, Diego Morgavi, et al.. (2021). Inoculation with rumen fluid in early life accelerates the rumen microbial development and favours the weaning process in goats. SHILAP Revista de lepidopterología. 3(1). 43 indexed citations
12.
Pétéra, Mélanie, Cécile Canlet, Stéphanie Durand, et al.. (2021). Milk metabolome reveals variations on enteric methane emissions from dairy cows fed a specific inhibitor of the methanogenesis pathway. Journal of Dairy Science. 104(12). 12553–12566. 16 indexed citations
13.
Li, Ao, Élisabeth Laville, Vincent Lombard, et al.. (2020). Analysis of the diversity of the glycoside hydrolase family 130 in mammal gut microbiomes reveals a novel mannoside-phosphorylase function. Microbial Genomics. 6(10). 11 indexed citations
14.
Ramayo‐Caldas, Yuliaxis, Laura M. Zingaretti, Milka Popova, et al.. (2019). Identification of rumen microbial biomarkers linked to methane emission in Holstein dairy cows. Journal of Animal Breeding and Genetics. 137(1). 49–59. 66 indexed citations
15.
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
16.
Martin, Cécile, Dominique Pomiès, Anne Ferlay, et al.. (2011). Methane output and rumen microbiota in dairy cows in response to long-term supplementation with linseed or rapeseed of grass silage- or pasture-based diets. HAL (Le Centre pour la Communication Scientifique Directe). 4 indexed citations
17.
Hocquette, Jean-François J.-F., Hamid Boudra, Isabelle Cassar‐Malek, et al.. (2009). Perspectives offered by "omics" approaches to sustainable herbivore production.. INRAE Productions Animales. 22(5). 385–395. 1 indexed citations
18.
Morgavi, Diego, et al.. (2004). Effect and stability of gliotoxin, anAspergillus fumigatustoxin, onin vitrorumen fermentation. Food Additives & Contaminants. 21(9). 871–878. 29 indexed citations
19.
Morgavi, Diego, et al.. (2002). Présence des moisissures toxinogènes et des mycotoxines dans les fourrages conservés. Signification et prévention. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
20.
Erickson, David L., et al.. (2002). Evidence of quorum sensing in the rumen ecosystem : Detection of N-acyl homoserine lactone autoinducers in ruminal contents. HAL (Le Centre pour la Communication Scientifique Directe). 2 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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