Claire Oget

418 total citations
10 papers, 120 citations indexed

About

Claire Oget is a scholar working on Genetics, Agronomy and Crop Science and Plant Science. According to data from OpenAlex, Claire Oget has authored 10 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 3 papers in Agronomy and Crop Science and 3 papers in Plant Science. Recurrent topics in Claire Oget's work include Genetic and phenotypic traits in livestock (9 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Milk Quality and Mastitis in Dairy Cows (2 papers). Claire Oget is often cited by papers focused on Genetic and phenotypic traits in livestock (9 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Milk Quality and Mastitis in Dairy Cows (2 papers). Claire Oget collaborates with scholars based in France, Belgium and New Zealand. Claire Oget's co-authors include Rachel Rupp, Gwenola Tosser‐Klopp, Isabelle Palhière, Bertrand Servin, Virginie Clément, Estelle Talouarn, Philippe Bardou, Jean‐Michel Astruc, Christèle Robert-Granié and Michel Georges and has published in prestigious journals such as Genome Research, Theoretical and Applied Genetics and BMC Genomics.

In The Last Decade

Claire Oget

10 papers receiving 119 citations

Peers

Claire Oget

GENET

CR

ACS

MB

PS

Rashid Saif Pakistan

Troy N. Rowan United States

Haisheng Nie Netherlands

Armelle Govignon-Gion France

Pierre Faux Belgium

Jesse L. Hoff United States

Shuqi Diao China

M. C. T. Penedo United States

Hamid Beiki United States

Hossam E. Rushdi Egypt

Rashid Saif Pakistan

Claire Oget

107 ×1.0

GENET

28 ×0.8

CR

24 ×0.8

ACS

47 ×2.5

MB

22 ×1.4

PS

Citations per year, relative to Claire Oget Claire Oget (= 1×) peers Rashid Saif

Countries citing papers authored by Claire Oget

Since Specialization

Citations

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

Fields of papers citing papers by Claire Oget

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claire Oget

This figure shows the co-authorship network connecting the top 25 collaborators of Claire Oget. A scholar is included among the top collaborators of Claire Oget 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 Claire Oget. Claire Oget 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

1.

Oget, Claire, et al.. (2024). Validation of cross-progeny variance genomic prediction using simulations and experimental data in winter elite bread wheat. Theoretical and Applied Genetics. 137(10). 226–226. 2 indexed citations

2.

Tang, Lijing, Thomas Lopdell, В. А. Петров, et al.. (2023). An organism-wide ATAC-seq peak catalog for the bovine and its use to identify regulatory variants. Genome Research. 33(10). 1848–1864. 10 indexed citations

3.

Lee, Young-Lim, Mirte Bosse, Haruko Takeda, et al.. (2023). High-resolution structural variants catalogue in a large-scale whole genome sequenced bovine family cohort data. BMC Genomics. 24(1). 225–225. 10 indexed citations

4.

Oget, Claire, Naveen Kumar Kadri, Gabriel Costa Monteiro Moreira, et al.. (2022). Benchmarking phasing software with a whole-genome sequenced cattle pedigree. BMC Genomics. 23(1). 130–130. 5 indexed citations

5.

Kadri, Naveen Kumar, Claire Oget, Christine Couldrey, et al.. (2022). High male specific contribution of the X-chromosome to individual global recombination rate in dairy cattle. BMC Genomics. 23(1). 3 indexed citations

6.

Talouarn, Estelle, Philippe Bardou, Isabelle Palhière, et al.. (2020). Genome wide association analysis on semen volume and milk yield using different strategies of imputation to whole genome sequence in French dairy goats. BMC Genetics. 21(1). 19–19. 24 indexed citations

7.

Oget, Claire, Gwenola Tosser‐Klopp, & Rachel Rupp. (2019). Genetic and genomic studies in ovine mastitis. Small Ruminant Research. 176. 55–64. 22 indexed citations

8.

Oget, Claire, et al.. (2019). Alternative methods improve the accuracy of genomic prediction using information from a causal point mutation in a dairy sheep model. BMC Genomics. 20(1). 719–719. 12 indexed citations

9.

Oget, Claire, Gilles Foucras, Alessandra Stella, et al.. (2019). A validation study of loci associated with mastitis resistance in two French dairy sheep breeds. Genetics Selection Evolution. 51(1). 5–5. 8 indexed citations

10.

Oget, Claire, Bertrand Servin, & Isabelle Palhière. (2018). Genetic diversity analysis of French goat populations reveals selective sweeps involved in their differentiation. Animal Genetics. 50(1). 54–63. 24 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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