Aurélie Allais‐Bonnet

660 citations
10 papers · 252 indexed · h-index 6
Topics
Genetic and phenotypic traits in livestock (5 papers)Animal Genetics and Reproduction (3 papers)Prion Diseases and Protein Misfolding (2 papers)
Partner nations
FranceMoroccoAustralia

In The Last Decade

Aurélie Allais‐Bonnet

9 papers receiving 250 citations

Peers

Aurélie Allais‐Bonnet
Comparison fields: 5 of 39
  • Genetics 212
  • Molecular Biology 120
  • Reproductive Medicine 56
  • Cancer Research 28
  • Public Health, Environmental and Occupational Health 26
Replace Maëva Elzaïat with:
Maëva Elzaïat France
Kanako Kojima‐Kita Japan
Tamara Larasati Japan
Jiaman Zhang China
Adriana Geisinger Uruguay
Lyn Gauthier United States
Mika Katayama United States
Luis Enrique Cabrera-Quio Austria
Sandrine Floriot France
Güneş Taylor United Kingdom
Aurélie Allais‐Bonnet relative to Maëva Elzaïat France Maëva Elzaïat's profile →
Citations per field
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Maëva Elzaïat · 1×
Citations per year

Countries citing papers authored by Aurélie Allais‐Bonnet

Since Specialization
Citations

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

Fields of papers citing papers by Aurélie Allais‐Bonnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aurélie Allais‐Bonnet. 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 Aurélie Allais‐Bonnet. The network helps show where Aurélie Allais‐Bonnet may publish in the future.

Co-authorship network of co-authors of Aurélie Allais‐Bonnet

This figure shows the co-authorship network connecting the top 25 collaborators of Aurélie Allais‐Bonnet. A scholar is included among the top collaborators of Aurélie Allais‐Bonnet 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 Aurélie Allais‐Bonnet. Aurélie Allais‐Bonnet 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
#WorkIndexed citations
1 0
2 1
3 3
4 11
5 34
6 22
7 7
8 3
9 140
10 31

About Aurélie Allais‐Bonnet

Aurélie Allais‐Bonnet is a scholar working on Genetics, Immunology and Allergy and Cancer Research, having authored 10 papers that have together received 252 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (5 papers), Animal Genetics and Reproduction (3 papers) and Prion Diseases and Protein Misfolding (2 papers). The work is most often cited by research in Genetics (212 citations), Reproductive Medicine (56 citations) and Physiology (22 citations). Aurélie Allais‐Bonnet has collaborated with scholars based in France, Morocco and Australia. Frequent co-authors include Maëlle Pannetier, Éric Pailhoux, Maëva Elzaïat, Laurent Boulanger, Christophe Richard, Daniel Le Bourhis, Corinne Cotinot, Nathalie Daniel, Norbert B. Ghyselinck and Cécile Grohs. Their work appears in journals such as Current Biology, Journal of Dairy Science and PLoS Genetics.

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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