Didier Machebœuf

783 total citations
19 papers, 582 citations indexed

About

Didier Machebœuf is a scholar working on Agronomy and Crop Science, Food Science and Genetics. According to data from OpenAlex, Didier Machebœuf has authored 19 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Agronomy and Crop Science, 7 papers in Food Science and 4 papers in Genetics. Recurrent topics in Didier Machebœuf's work include Ruminant Nutrition and Digestive Physiology (15 papers), Genetic and phenotypic traits in livestock (4 papers) and Animal Diversity and Health Studies (3 papers). Didier Machebœuf is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (15 papers), Genetic and phenotypic traits in livestock (4 papers) and Animal Diversity and Health Studies (3 papers). Didier Machebœuf collaborates with scholars based in France, United Kingdom and Morocco. Didier Machebœuf's co-authors include Diego Morgavi, Jean-Baptiste Coulon, Pascal P. d'Hour, Vincent Niderkorn, Aline Le Morvan, René Baumont, C. J. Newbold, Jocelyne Aufrère, Bas E. Dutilh and A. Takénaka and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Animal Science and BMC Genomics.

In The Last Decade

Didier Machebœuf

19 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Didier Machebœuf France 9 407 135 93 88 83 19 582
J. D. Fulford United States 7 482 1.2× 201 1.5× 116 1.2× 58 0.7× 78 0.9× 8 618
J.T. Sylvester United States 10 657 1.6× 157 1.2× 149 1.6× 67 0.8× 98 1.2× 13 757
C. Lafrenière Canada 10 307 0.8× 72 0.5× 73 0.8× 146 1.7× 86 1.0× 30 502
V.J. Theobald United Kingdom 13 302 0.7× 67 0.5× 103 1.1× 146 1.7× 76 0.9× 25 498
C.W. Cruywagen South Africa 13 449 1.1× 81 0.6× 124 1.3× 170 1.9× 121 1.5× 35 638
Adrienne Woodward United States 13 332 0.8× 81 0.6× 77 0.8× 178 2.0× 111 1.3× 28 629
S. Ramos South Korea 13 377 0.9× 90 0.7× 95 1.0× 126 1.4× 73 0.9× 29 483
S. H. Bird Australia 14 496 1.2× 66 0.5× 171 1.8× 89 1.0× 63 0.8× 23 581
F. Vicente Spain 15 392 1.0× 103 0.8× 139 1.5× 175 2.0× 48 0.6× 56 665
Jakyeom Seo South Korea 12 252 0.6× 114 0.8× 62 0.7× 93 1.1× 72 0.9× 49 486

Countries citing papers authored by Didier Machebœuf

Since Specialization
Citations

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

Fields of papers citing papers by Didier Machebœuf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Didier Machebœuf

This figure shows the co-authorship network connecting the top 25 collaborators of Didier Machebœuf. A scholar is included among the top collaborators of Didier Machebœuf 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 Didier Machebœuf. Didier Machebœuf 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.
Gresse, Raphaële, Bruno I Cappellozza, Didier Machebœuf, et al.. (2025). In Vitro Investigation of the Effects of Bacillus subtilis-810B and Bacillus licheniformis-809A on the Rumen Fermentation and Microbiota. Animals. 15(4). 476–476. 3 indexed citations
2.
3.
Santos, Nadine Woruby, et al.. (2016). Brazilian propolis extract used as an additive to decrease methane emissions from the rumen microbial population in vitro. Tropical Animal Health and Production. 48(5). 1051–1056. 11 indexed citations
4.
5.
Niderkorn, Vincent & Didier Machebœuf. (2014). Identification of bioactive grassland plants for reducing enteric methane production and rumen proteolysis using an in vitro screening assay. Animal Production Science. 54(10). 1805–1809. 6 indexed citations
6.
Niderkorn, Vincent, René Baumont, Aline Le Morvan, & Didier Machebœuf. (2011). Occurrence of associative effects between grasses and legumes in binary mixtures on in vitro rumen fermentation characteristics1. Journal of Animal Science. 89(4). 1138–1145. 57 indexed citations
7.
Machebœuf, Didier, et al.. (2007). Dose–response effects of essential oils on in vitro fermentation activity of the rumen microbial population. Animal Feed Science and Technology. 145(1-4). 335–350. 155 indexed citations
8.
Ricard, Guénola, Neil McEwan, Bas E. Dutilh, et al.. (2006). Horizontal gene transfer from Bacteria to rumen Ciliates indicates adaptation to their anaerobic, carbohydrates-rich environment. BMC Genomics. 7(1). 22–22. 125 indexed citations
9.
Kišidayová, Svetlana, et al.. (2003). Two-Step Freezing Procedure for Cryopreservation of Rumen Ciliates, an Effective Tool for Creation of a Frozen Rumen Protozoa Bank. Applied and Environmental Microbiology. 69(7). 3826–3832. 24 indexed citations
10.
Aufrère, Jocelyne, et al.. (2001). The gas-test technique as a tool for predicting the energetic value of forage plants. Animal Research. 50(5). 349–364. 31 indexed citations
11.
Machebœuf, Didier, et al.. (1998). Prediction of the organic matter digestibility of forages in horses by the gas test method. BSAP Occasional Publication. 22. 252–254. 5 indexed citations
12.
Machebœuf, Didier, et al.. (1998). Comparison of five models used to describe gas accumulation profiles in the gas test method with horse caecal fluid as inoculum. BSAP Occasional Publication. 22. 185–186. 1 indexed citations
13.
Machebœuf, Didier, et al.. (1998). Utilization of the gas test method and horse faeces as a source of inoculum. BSAP Occasional Publication. 22. 187–189. 5 indexed citations
14.
Machebœuf, Didier, et al.. (1997). Comparison of in vitro digestion of hays with horse caecal and sheep rumen fluids. annales de biologie animale biochimie biophysique. 37(Suppl. 1). 57–58. 1 indexed citations
15.
Rémond, B., Didier Machebœuf, J. Rouel, & Yves Chilliard. (1997). Composition chimique et coagulation du lait sécrété en fin de gestation et au début de la lactation suivante par des vaches laitières conduites sans période sèche. Le Lait. 77(5). 615–624. 2 indexed citations
16.
Machebœuf, Didier, et al.. (1995). Study of nitrogen digestion from different hays by the mobile nylon bag technique in horses. Annales de Zootechnie. 44(Suppl. 1). 219–219. 8 indexed citations
17.
Machebœuf, Didier, et al.. (1994). Effet du numéro de lactation sur l'aptitude à la coagulation du lait de vache. Annales de Zootechnie. 43(2). 135–140. 1 indexed citations
18.
Machebœuf, Didier, Jean-Baptiste Coulon, & Pascal P. d'Hour. (1993). Effect of breed, protein genetic variants and feeding on cows' milk coagulation properties. Journal of Dairy Research. 60(1). 43–54. 88 indexed citations
19.
Machebœuf, Didier, Jean-Baptiste Coulon, & Pascal P. d'Hour. (1993). Aptitude à la coagulation du lait de vache. Influence de la race, des variants génétiques des lactoprotéines du lait, de l’alimentation et du numéro de lactation. INRAE Productions Animales. 6(5). 333–344. 6 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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