R. Guéblez

423 total citations
10 papers, 325 citations indexed

About

R. Guéblez is a scholar working on Animal Science and Zoology, Small Animals and Genetics. According to data from OpenAlex, R. Guéblez has authored 10 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Animal Science and Zoology, 6 papers in Small Animals and 6 papers in Genetics. Recurrent topics in R. Guéblez's work include Animal Nutrition and Physiology (7 papers), Animal Behavior and Welfare Studies (6 papers) and Genetic and phenotypic traits in livestock (6 papers). R. Guéblez is often cited by papers focused on Animal Nutrition and Physiology (7 papers), Animal Behavior and Welfare Studies (6 papers) and Genetic and phenotypic traits in livestock (6 papers). R. Guéblez collaborates with scholars based in France and Morocco. R. Guéblez's co-authors include Pierre Sellier, M. C. Meunier‐Salaün, Gabriel Monin, Xavier Fernàndez, Jean Pierre Bidanel, Marie-Christine Meunier-Salaün, Alain Ducos, André Talmant, Catherine Larzul and Jean-Marcel Gogué and has published in prestigious journals such as Meat Science, Journal of the Science of Food and Agriculture and Genetics Selection Evolution.

In The Last Decade

R. Guéblez

10 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Guéblez France 9 273 176 163 19 14 10 325
J. Naveau France 5 219 0.8× 190 1.1× 89 0.5× 25 1.3× 44 3.1× 9 336
B G Luxford Australia 8 250 0.9× 203 1.2× 154 0.9× 17 0.9× 18 1.3× 17 328
C. R. Schwab United States 11 255 0.9× 185 1.1× 83 0.5× 30 1.6× 50 3.6× 20 378
Per-Erik Nyström Sweden 4 244 0.9× 143 0.8× 72 0.4× 48 2.5× 44 3.1× 5 354
Tércio Michelan Filho Brazil 9 252 0.9× 144 0.8× 24 0.1× 29 1.5× 27 1.9× 20 298
D. M. Curic 6 330 1.2× 98 0.6× 181 1.1× 10 0.5× 8 0.6× 10 390
Anne Collin France 6 230 0.8× 46 0.3× 47 0.3× 9 0.5× 40 2.9× 7 314
Leila de Genova Gaya Brazil 8 230 0.8× 139 0.8× 28 0.2× 31 1.6× 23 1.6× 35 286
K. Szulc Poland 10 205 0.8× 141 0.8× 88 0.5× 26 1.4× 20 1.4× 54 336
D. J. Kerton Australia 9 288 1.1× 51 0.3× 149 0.9× 9 0.5× 15 1.1× 17 340

Countries citing papers authored by R. Guéblez

Since Specialization
Citations

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

Fields of papers citing papers by R. Guéblez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Guéblez

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

All Works

10 of 10 papers shown
1.
Tribout, Thierry, Nathalie Iannuccelli, Tom Druet, et al.. (2008). Detection of quantitative trait loci for reproduction and production traits in Large White and French Landrace pig populations (Open Access publication). Genetics Selection Evolution. 40(1). 26 indexed citations
2.
Guéblez, R., et al.. (1999). Feed intake behaviour of group-housed Piétrain and Large White growing pigs. Annales de Zootechnie. 48(4). 247–261. 36 indexed citations
3.
Larzul, Catherine, Pascale Le Roy, R. Guéblez, et al.. (1997). Effect of halothane genotype (NN, Nn, nn) on growth, carcass and meat quality traits of pigs slaughtered at 95 kg or 125 kg live weight. Journal of Animal Breeding and Genetics. 114(1-6). 309–320. 45 indexed citations
4.
Guéblez, R., et al.. (1997). Genetic parameters of feeding behaviour and performance traits in group-housed Large White and French Landrace growing pigs. Genetics Selection Evolution. 29(4). 68 indexed citations
5.
Bidanel, Jean Pierre, et al.. (1994). Genetic parameters of backfat thickness, age at 100 kg and ultimate pH in on-farm tested French Landrace and Large White pigs. Livestock Production Science. 40(3). 291–301. 26 indexed citations
6.
Bidanel, Jean Pierre, et al.. (1994). Genetic parameters of backfat thickness, age at 100 kg and meat quality traits in Pietrain pigs. Annales de Zootechnie. 43(2). 141–149. 9 indexed citations
7.
Fernàndez, Xavier, Joseph Culioli, & R. Guéblez. (1994). Relationship between rate of post mortem pH fall and ageing of Longissimus muscle in pietrain pigs. Journal of the Science of Food and Agriculture. 65(2). 215–222. 9 indexed citations
8.
Guéblez, R., et al.. (1994). Feeding behaviour of group-housed large white and landrace pigs in french central test stations. Livestock Production Science. 40(3). 303–312. 70 indexed citations
9.
Fernàndez, Xavier, et al.. (1991). Paris ham processing: Technological yield as affected by residual glycogen content of muscle. Meat Science. 29(2). 121–128. 31 indexed citations
10.
Guéblez, R., et al.. (1985). Effect of age and backfat thickness on reproductive performance of 100 kg Large White sows. Annales de Zootechnie. 34(3). 365–365. 5 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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