Daniel Sauvant

2.1k total citations
49 papers, 950 citations indexed

About

Daniel Sauvant is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, Daniel Sauvant has authored 49 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Agronomy and Crop Science, 14 papers in Genetics and 10 papers in Animal Science and Zoology. Recurrent topics in Daniel Sauvant's work include Ruminant Nutrition and Digestive Physiology (28 papers), Genetic and phenotypic traits in livestock (14 papers) and Reproductive Physiology in Livestock (10 papers). Daniel Sauvant is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (28 papers), Genetic and phenotypic traits in livestock (14 papers) and Reproductive Physiology in Livestock (10 papers). Daniel Sauvant collaborates with scholars based in France, Guadeloupe and Morocco. Daniel Sauvant's co-authors include A. Offner, À. Bach, Sylvie Giger‐Reverdin, D. Bravo, Philippe Schmidely, Michel Doreau, Frédéric Glasser, F. Meschy, Maguy Eugène and Christine Duvaux-Ponter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Environmental Management and Journal of the Science of Food and Agriculture.

In The Last Decade

Daniel Sauvant

47 papers receiving 902 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Sauvant France 16 639 274 269 147 115 49 950
Mary E Drewnoski United States 19 604 0.9× 187 0.7× 256 1.0× 111 0.8× 91 0.8× 74 987
H. Volden Norway 18 966 1.5× 405 1.5× 233 0.9× 103 0.7× 110 1.0× 47 1.1k
W.M. van Straalen Netherlands 11 992 1.6× 479 1.7× 241 0.9× 111 0.8× 149 1.3× 17 1.1k
P. Nørgaard Denmark 17 718 1.1× 329 1.2× 269 1.0× 56 0.4× 100 0.9× 57 1.0k
L. Holtshausen Canada 9 668 1.0× 176 0.6× 133 0.5× 87 0.6× 107 0.9× 20 786
S.J. Krizsan Sweden 18 927 1.5× 325 1.2× 251 0.9× 87 0.6× 114 1.0× 60 1.2k
John Andrae United States 18 496 0.8× 168 0.6× 302 1.1× 116 0.8× 81 0.7× 58 950
J. van Bruchem Netherlands 21 918 1.4× 356 1.3× 315 1.2× 61 0.4× 140 1.2× 73 1.2k
Gilberto Vilmar Kozloski Brazil 18 901 1.4× 350 1.3× 342 1.3× 69 0.5× 137 1.2× 96 1.1k
J. L. Peyraud France 14 671 1.1× 281 1.0× 148 0.6× 80 0.5× 78 0.7× 41 836

Countries citing papers authored by Daniel Sauvant

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sauvant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Sauvant

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Sauvant. A scholar is included among the top collaborators of Daniel Sauvant 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 Daniel Sauvant. Daniel Sauvant 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.
Boval, Maryline, et al.. (2024). Dataset from the literature on the ingestive behaviour of grazing ruminants. Data in Brief. 54. 110488–110488. 2 indexed citations
2.
Giger‐Reverdin, Sylvie, et al.. (2020). Rumen function in goats, an example of adaptive capacity. Journal of Dairy Research. 87(1). 45–51. 32 indexed citations
3.
Muñoz‐Tamayo, Rafael, A.S. Atzori, A. Cannas, et al.. (2019). Proceedings of the 9th Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT). Advances in Animal Biosciences. 10(2). 285–367. 3 indexed citations
4.
Sauvant, Daniel. (2019). Modeling efficiency and robustness in ruminants: the nutritional point of view. Animal Frontiers. 9(2). 60–67. 3 indexed citations
5.
Sauvant, Daniel & Sylvie Giger‐Reverdin. (2017). Dairy and growing goats. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
6.
Boval, Maryline, et al.. (2016). End-product quality of composts produced under tropical and temperate climates using different raw materials: A meta-analysis. Journal of Environmental Management. 183(Pt 3). 909–916. 34 indexed citations
7.
Létourneau-Montminy, Marie-Pierre, et al.. (2016). Meta-analysis of the amino acid digestibility of oilseed meal in growing pigs. animal. 10(10). 1635–1644. 18 indexed citations
8.
Heuze, Valérie, Gilles Tran, Denis Bastianelli, Harry Archimède, & Daniel Sauvant. (2013). Feedipedia: an open access international encyclopedia on feed resources for farm animals. Agritrop (Cirad). 3 indexed citations
9.
Tran, Gilles, Valérie Heuze, Denis Bastianelli, Harry Archimède, & Daniel Sauvant. (2010). Tables of nutritive value for farm animals in tropical and Mediterranean regions: an important asset for improving the use of local feed resources. Advances in Animal Biosciences. 1(2). e11–e11. 2 indexed citations
10.
Sauvant, Daniel & Philippe Schmidely. (2008). La maîtrise de la composition et de la qualité du lait à la ferme. Bulletin de l Académie Nationale de Médecine. 192(4). 693–702. 1 indexed citations
11.
Glasser, Frédéric, Philippe Schmidely, Daniel Sauvant, & Michel Doreau. (2008). Digestion of fatty acids in ruminants: a meta-analysis of flows and variation factors: 2. C18 fatty acids. animal. 2(5). 691–704. 98 indexed citations
12.
Archimède, Harry, et al.. (2007). Etude comparative de l'ingestion et de la digestion des fourrages tropicaux et tempérés. SHILAP Revista de lepidopterología. 20(5). 383–391. 11 indexed citations
13.
14.
Bravo, D., et al.. (2003). I. A bibliographic database for quantitative analysisof phosphorus flow in ruminants. annales de biologie animale biochimie biophysique. 43(3). 251–269. 5 indexed citations
15.
Bravo, D., et al.. (2003). Plasma phosphorus content and dietary phosphorus availability in adult sheep. Animal Research. 52(5). 427–435. 3 indexed citations
16.
Offner, A. & Daniel Sauvant. (2003). Comparative evaluation of the Molly, CNCPS, and LES rumen models. Animal Feed Science and Technology. 112(1-4). 107–130. 38 indexed citations
17.
Bravo, D., et al.. (2003). III. Quantitative aspects of phosphorus excretionin ruminants. annales de biologie animale biochimie biophysique. 43(3). 285–300. 51 indexed citations
18.
Giger‐Reverdin, Sylvie, et al.. (2002). Intrinsic buffering capacity of feedstuffs. Animal Feed Science and Technology. 96(1-2). 83–102. 70 indexed citations
19.
Bravo, D., et al.. (2000). Ruminal phosphorus availability from several feedstuffs measured by the nylon bag technique. annales de biologie animale biochimie biophysique. 40(2). 149–162. 33 indexed citations
20.
Sauvant, Daniel, et al.. (1987). Influence de la digestibilite de la matiere organique alimentaire sur la nutrition et la production chez la chevre en debut de lactation. HAL (Le Centre pour la Communication Scientifique Directe). 10 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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