Jean Sapa

579 total citations
9 papers, 402 citations indexed

About

Jean Sapa is a scholar working on Agronomy and Crop Science, Genetics and Small Animals. According to data from OpenAlex, Jean Sapa has authored 9 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Agronomy and Crop Science, 5 papers in Genetics and 3 papers in Small Animals. Recurrent topics in Jean Sapa's work include Genetic and phenotypic traits in livestock (5 papers), Reproductive Physiology in Livestock (3 papers) and Ruminant Nutrition and Digestive Physiology (3 papers). Jean Sapa is often cited by papers focused on Genetic and phenotypic traits in livestock (5 papers), Reproductive Physiology in Livestock (3 papers) and Ruminant Nutrition and Digestive Physiology (3 papers). Jean Sapa collaborates with scholars based in France. Jean Sapa's co-authors include Florence Phocas, Pierre Le Neindre, Gilbert Trillat, François Ménissier, J. M. Chupin, Xavier Boivin, Laurence Drouilhet, Jean-Luc Touzé, Rozenn Dalbiès‐Tran and Stéphane Fabre and has published in prestigious journals such as Journal of Dairy Science, Journal of Animal Science and Animal Science.

In The Last Decade

Jean Sapa

9 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jean Sapa France	6	212	200	156	155	92	9	402
W. L. Singleton United States	13	134 0.6×	112 0.6×	151 1.0×	108 0.7×	80 0.9×	20	351
Donald G. Levis United States	10	244 1.2×	109 0.5×	121 0.8×	169 1.1×	71 0.8×	26	387
Wayne G. Etherington Canada	6	118 0.6×	229 1.1×	370 2.4×	63 0.4×	78 0.8×	7	499
M. Ewen United Kingdom	8	144 0.7×	70 0.3×	98 0.6×	157 1.0×	107 1.2×	13	339
Glen Cassar Canada	12	209 1.0×	103 0.5×	142 0.9×	119 0.8×	113 1.2×	27	367
Georgios Tsousis Greece	13	84 0.4×	178 0.9×	269 1.7×	99 0.6×	107 1.2×	44	441
L. Zarco Mexico	15	167 0.8×	386 1.9×	608 3.9×	153 1.0×	145 1.6×	55	776
Annop Suriyasomboon Thailand	6	105 0.5×	68 0.3×	87 0.6×	121 0.8×	55 0.6×	11	300
A.M. Padula Australia	10	106 0.5×	145 0.7×	102 0.7×	43 0.3×	33 0.4×	24	334
E.G. Bouwman Netherlands	13	211 1.0×	159 0.8×	255 1.6×	115 0.7×	197 2.1×	27	505

Countries citing papers authored by Jean Sapa

Since Specialization

Citations

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

Fields of papers citing papers by Jean Sapa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Sapa

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

All Works

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9 of 9 papers shown

1.

Martin, Pauline, Cécile V. Denis, Cécile Grohs, et al.. (2021). Determination of immunoglobulin concentrations and genetic parameters for colostrum and calf serum in Charolais animals. Journal of Dairy Science. 104(3). 3240–3249. 23 indexed citations

2.

Monniaux, Danielle, Laurence Drouilhet, Charlène Rico, et al.. (2012). Regulation of anti-Müllerian hormone production in domestic animals. Reproduction Fertility and Development. 25(1). 1–1. 122 indexed citations

3.

Boivin, Xavier, et al.. (2010). Assessment of different on-farm measures of beef cattle temperament for use in genetic evaluation1. Journal of Animal Science. 88(11). 3529–3537. 33 indexed citations

4.

Phocas, Florence, Xavier Boivin, Jean Sapa, et al.. (2006). Genetic correlations between temperament and breeding traits in Limousin heifers. Animal Science. 82(6). 805–811. 59 indexed citations

5.

Phocas, Florence & Jean Sapa. (2004). Genetic parameters for growth, reproductive performance, calving ease and suckling performance in beef cattle heifers. Animal Science. 79(1). 41–48. 34 indexed citations

6.

Neindre, Pierre Le, et al.. (1995). Individual differences in docility in Limousin cattle1. Journal of Animal Science. 73(8). 2249–2253. 126 indexed citations

7.

Laloë, Dénis, Gilles Renand, Jean Sapa, & François Ménissier. (1992). Use of relationship matrix in the evaluation of natural service Limousin bulls. Genetics Selection Evolution. 24(2). 2 indexed citations

8.

Laloë, Dénis, Gilles Renand, Jean Sapa, & François Ménissier. (1992). Use of relationship matrix in the evaluation of natural service Limousin bulls. Genetics Selection Evolution. 24(2). 137–145. 2 indexed citations

9.

Ménissier, François, Jean Sapa, & J.P. Poivey. (1992). Les objectifs et les critères de sélection : Les qualités maternelles des ruminants allaitants : exemple des facilités de vêlage et de l’allaitement. INRAE Productions Animales. 5(HS). 135–145. 1 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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