J. Naveau

410 total citations
9 papers, 336 citations indexed

About

J. Naveau is a scholar working on Genetics, Animal Science and Zoology and Small Animals. According to data from OpenAlex, J. Naveau has authored 9 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 8 papers in Animal Science and Zoology and 5 papers in Small Animals. Recurrent topics in J. Naveau's work include Genetic and phenotypic traits in livestock (9 papers), Animal Nutrition and Physiology (6 papers) and Animal Behavior and Welfare Studies (5 papers). J. Naveau is often cited by papers focused on Genetic and phenotypic traits in livestock (9 papers), Animal Nutrition and Physiology (6 papers) and Animal Behavior and Welfare Studies (5 papers). J. Naveau collaborates with scholars based in France, Morocco and China. J. Naveau's co-authors include Jean-Michel Elsen, Pierre Sellier, P. Roy, Jean Pierre Bidanel, Thierry Burlot, Christian Legault, André Talmant, Gabriel Monin, Xavier Fernàndez and Eva Tornberg and has published in prestigious journals such as Journal of the Science of Food and Agriculture, Genetics Research and Genetics Selection Evolution.

In The Last Decade

J. Naveau

9 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Naveau France 5 219 190 89 44 30 9 336
Per-Erik Nyström Sweden 4 244 1.1× 143 0.8× 72 0.8× 44 1.0× 16 0.5× 5 354
C. R. Schwab United States 11 255 1.2× 185 1.0× 83 0.9× 50 1.1× 15 0.5× 20 378
D. W. Newcom United States 8 243 1.1× 157 0.8× 121 1.4× 24 0.5× 11 0.4× 16 346
Magdalena Szyndler‐Nędza Poland 12 197 0.9× 163 0.9× 69 0.8× 39 0.9× 13 0.4× 62 345
Serge A. Pommier Canada 12 213 1.0× 85 0.4× 63 0.7× 47 1.1× 17 0.6× 19 353
Tércio Michelan Filho Brazil 9 252 1.2× 144 0.8× 24 0.3× 27 0.6× 16 0.5× 20 298
F. H. Ricard France 10 320 1.5× 126 0.7× 24 0.3× 94 2.1× 23 0.8× 23 414
P.N. de Groot Netherlands 7 176 0.8× 306 1.6× 120 1.3× 56 1.3× 15 0.5× 11 455
R. Guéblez France 9 273 1.2× 176 0.9× 163 1.8× 14 0.3× 7 0.2× 10 325
J. G. Gentry United States 5 291 1.3× 32 0.2× 149 1.7× 33 0.8× 11 0.4× 8 362

Countries citing papers authored by J. Naveau

Since Specialization
Citations

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

Fields of papers citing papers by J. Naveau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Naveau

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

All Works

9 of 9 papers shown
1.
Sanchez, Marie-Pierre, Jean Pierre Bidanel, Siqing Zhang, et al.. (2003). Likelihood and Bayesian analyses reveal major genes affecting bodycomposition, carcass, meat quality and the number of false teats in a Chinese European pig line. Genetics Selection Evolution. 35(4). 385–402. 1 indexed citations
2.
Bidanel, Jean Pierre, et al.. (2003). Likelihood and Bayesian analyses reveal major genes affecting body composition, carcass, meat quality and the number of false teats in a Chinese European pig line. Genetics Selection Evolution. 35(5). 385–402. 4 indexed citations
3.
Bidanel, Jean Pierre, et al.. (2000). Genetic parameters and genetic trends in the Chinese × European Tiameslan composite pig line. I. Genetic parameters. Genetics Selection Evolution. 32(1). 41–56. 48 indexed citations
4.
Bidanel, Jean Pierre, et al.. (2000). Genetic parameters and genetic trends in the Chinese × European Tiameslan composite pig line. II. Genetic trends. Genetics Selection Evolution. 32(1). 57–71. 55 indexed citations
5.
Bidanel, Jean Pierre, et al.. (2000). Genetic parameters and genetic trends in the Chinese x European Tiameslan composite pig line.II. Genetic trends. Genetics Selection Evolution. 32(1). 57–71. 1 indexed citations
6.
Ducos, Alain, Jean Pierre Bidanel, & J. Naveau. (1992). Estimation of genetic parameters and genetic trends for production traits in the Sino‐European Tiameslan composite line. Journal of Animal Breeding and Genetics. 109(1-6). 108–118. 4 indexed citations
7.
Fernàndez, Xavier, Eva Tornberg, J. Naveau, André Talmant, & Gabriel Monin. (1992). Bimodal distribution of the muscle glycolytic potential in French and Swedish populations of hampshire crossbred pigs. Journal of the Science of Food and Agriculture. 59(3). 307–311. 69 indexed citations
8.
Roy, P., J. Naveau, Jean-Michel Elsen, & Pierre Sellier. (1990). Evidence for a new major gene influencing meat quality in pigs. Genetics Research. 55(1). 33–40. 151 indexed citations
9.
Naveau, J.. (1976). Optimierung der zuchtung innerhalb einer geschlossenen zuchtlinie mit schwacher inzuchtrate. Livestock Production Science. 3(4). 351–361. 3 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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