Agnès Piacére

413 total citations
10 papers, 300 citations indexed

About

Agnès Piacére is a scholar working on Genetics, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Agnès Piacére has authored 10 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 7 papers in Agronomy and Crop Science and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Agnès Piacére's work include Genetic and phenotypic traits in livestock (9 papers), Reproductive Physiology in Livestock (5 papers) and Ruminant Nutrition and Digestive Physiology (4 papers). Agnès Piacére is often cited by papers focused on Genetic and phenotypic traits in livestock (9 papers), Reproductive Physiology in Livestock (5 papers) and Ruminant Nutrition and Digestive Physiology (4 papers). Agnès Piacére collaborates with scholars based in France, Morocco and Niger. Agnès Piacére's co-authors include Eduardo Manfredi, G Ricordeau, Eduardo Manfredi, Didier Boichard, Bernard Lebœuf, Vincent Ducrocq, F. Barillet, M. Terqui, P. Humblot and C. Broqua and has published in prestigious journals such as Small Ruminant Research, Genetics Selection Evolution and Reproduction in Domestic Animals.

In The Last Decade

Agnès Piacére

10 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Agnès Piacére France	9	243	220	70	45	32	10	300
P.M. Dawuda Nigeria	10	164 0.7×	186 0.8×	62 0.9×	42 0.9×	32 1.0×	30	264
Martin Ptáček Czechia	12	184 0.8×	156 0.7×	102 1.5×	69 1.5×	78 2.4×	61	338
Daragh Matthews United Kingdom	8	137 0.6×	163 0.7×	20 0.3×	60 1.3×	37 1.2×	13	261
A.W. Lishman South Africa	11	197 0.8×	282 1.3×	64 0.9×	62 1.4×	25 0.8×	47	364
Francisco Antonio Arrebola Molina Spain	11	138 0.6×	144 0.7×	89 1.3×	96 2.1×	104 3.3×	27	289
Sérgio O. Juchem United States	5	283 1.2×	338 1.5×	146 2.1×	66 1.5×	10 0.3×	6	387
Marcos Vinícius Biehl Brazil	11	182 0.7×	292 1.3×	139 2.0×	25 0.6×	7 0.2×	23	337
J. G. Soares Brazil	10	232 1.0×	271 1.2×	106 1.5×	121 2.7×	34 1.1×	27	346
Sadhat Walusimbi United States	8	63 0.3×	228 1.0×	77 1.1×	52 1.2×	46 1.4×	12	358
Mustafa Tekerli Türkiye	7	240 1.0×	193 0.9×	145 2.1×	14 0.3×	8 0.3×	44	314

Countries citing papers authored by Agnès Piacére

Since Specialization

Citations

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

Fields of papers citing papers by Agnès Piacére

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agnès Piacére

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

All Works

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10 of 10 papers shown

Danchin-Burge, Coralie, Daniel D. Allain, Virginie Clément, et al.. (2012). Genetic variability and French breeding programs of three goat breeds under selection. Small Ruminant Research. 108(1-3). 36–44. 10 indexed citations

Lebœuf, Bernard, et al.. (2008). Management of Goat Reproduction and Insemination for Genetic Improvement in France. Reproduction in Domestic Animals. 43(s2). 379–385. 37 indexed citations

Manfredi, Eduardo, et al.. (2001). Genetic parameters of type appraisal in Saanen and Alpine goats. Livestock Production Science. 70(3). 183–189. 39 indexed citations

Manfredi, Eduardo, et al.. (1999). Genetic parameters of dairy traits in the Alpine and Saanen goat breeds. Genetics Selection Evolution. 31(5-6). 529–534. 10 indexed citations

Manfredi, Eduardo, et al.. (1999). Genetic parameters of dairy traits in the Alpine and Saanen goat breeds. Genetics Selection Evolution. 31(5). 36 indexed citations

Lebœuf, Bernard, Eduardo Manfredi, Agnès Piacére, et al.. (1998). Artificial insemination of dairy goats in France. Livestock Production Science. 55(3). 193–203. 59 indexed citations

Lebœuf, Bernard, Eduardo Manfredi, Agnès Piacére, et al.. (1998). L’insémination artificielle et l’amélioration génétique chez la chèvre laitière en France. INRAE Productions Animales. 11(3). 171–181. 6 indexed citations

Manfredi, Eduardo, et al.. (1994). Effets du polymorphisme de la caséine αs1 caprine sur les performances laitières: analyse intradescendance de boucs de race Alpine. Genetics Selection Evolution. 26(2). 28 indexed citations

Boichard, Didier, et al.. (1989). Genetic parameters for first lactation dairy traits in the Alpine and Saanen goat breeds. 21(2). 205–215. 43 indexed citations

10.

Boichard, Didier, et al.. (1989). Genetic parameters for first lactation dairy traits in the Alpine and Saanen goat breeds. Genetics Selection Evolution. 21(2). 32 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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