Rachel Rupp

5.0k total citations
66 papers, 3.2k citations indexed

About

Rachel Rupp is a scholar working on Genetics, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Rachel Rupp has authored 66 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Genetics, 38 papers in Agronomy and Crop Science and 8 papers in Molecular Biology. Recurrent topics in Rachel Rupp's work include Genetic and phenotypic traits in livestock (44 papers), Milk Quality and Mastitis in Dairy Cows (28 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). Rachel Rupp is often cited by papers focused on Genetic and phenotypic traits in livestock (44 papers), Milk Quality and Mastitis in Dairy Cows (28 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). Rachel Rupp collaborates with scholars based in France, Morocco and United Kingdom. Rachel Rupp's co-authors include Didier Boichard, Dominique Bergonier, Gilles Lagriffoul, Xavier Berthelot, Gilles Foucras, Gwenola Tosser‐Klopp, Christian P. Robert, Pascal Rainard, Isabelle Palhière and Bonnie A. Mallard and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Rachel Rupp

63 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachel Rupp France 27 1.9k 1.9k 492 492 418 66 3.2k
Holm Zerbe Germany 27 2.2k 1.1× 582 0.3× 499 1.0× 631 1.3× 251 0.6× 99 3.0k
Kieran G. Meade Ireland 31 1.0k 0.5× 478 0.3× 727 1.5× 291 0.6× 381 0.9× 106 2.8k
Wolfram Petzl Germany 21 1.3k 0.7× 293 0.2× 409 0.8× 594 1.2× 181 0.4× 46 1.9k
K. Huijps Netherlands 11 1.5k 0.8× 591 0.3× 236 0.5× 667 1.4× 216 0.5× 18 1.8k
J. Krzyżewski Poland 21 489 0.3× 397 0.2× 505 1.0× 303 0.6× 286 0.7× 63 1.6k
Stephen N. White United States 26 419 0.2× 897 0.5× 500 1.0× 66 0.1× 581 1.4× 99 2.4k
Carol G. Chitko-McKown United States 25 423 0.2× 574 0.3× 505 1.0× 76 0.2× 314 0.8× 73 1.8k
Hajime Nagahata Japan 23 666 0.3× 211 0.1× 370 0.8× 278 0.6× 108 0.3× 116 1.7k
Gregory P. Harhay United States 23 293 0.2× 460 0.2× 706 1.4× 192 0.4× 174 0.4× 60 1.6k
Yeong Ho Hong South Korea 30 147 0.1× 471 0.2× 778 1.6× 256 0.5× 1.6k 3.8× 121 3.1k

Countries citing papers authored by Rachel Rupp

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Rupp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Rupp

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

All Works

20 of 20 papers shown
1.
Corbière, Fabien, et al.. (2024). Genetic and environmental determinants of immunoglobulin G in kid serum and adult colostrum of dairy goats. Journal of Dairy Science. 108(1). 623–634.
2.
Rupp, Rachel, et al.. (2024). Watt's in it for you? Unpacking the role of renewable energy cooperatives in the Netherlands in energizing consumer engagement. Energy Research & Social Science. 120. 103883–103883. 2 indexed citations
3.
Cozzi, Paolo, Arianna Manunza, Anna M. Johansson, et al.. (2024). SMARTER-database: a tool to integrate SNP array datasets for sheep and goat breeds. SHILAP Revista de lepidopterología. 2024. 4 indexed citations
4.
Li, Zheyuan, José Pires, Torben Larsen, et al.. (2023). Multivariate analysis of milk metabolite measures shows potential for deriving new resilience phenotypes. Journal of Dairy Science. 106(11). 8072–8086. 5 indexed citations
5.
6.
Palhière, Isabelle, et al.. (2022). Selection on functional longevity in a commercial population of dairy goats translates into significant differences in longevity in a common farm environment. Journal of Dairy Science. 105(5). 4289–4300. 6 indexed citations
7.
Mucha, Sebastian, Flavie Tortereau, Andrea Doeschl‐Wilson, Rachel Rupp, & J. Conington. (2022). Animal Board Invited Review: Meta-analysis of genetic parameters for resilience and efficiency traits in goats and sheep. animal. 16(3). 100456–100456. 26 indexed citations
8.
Cremonesi, Paola, Bianca Castiglioni, G. Pisoni, et al.. (2021). Comparison of the response of mammary gland tissue from two divergent lines of goat with high and low milk somatic cell scores to an experimental Staphylococcus aureus infection. Veterinary Immunology and Immunopathology. 234. 110208–110208. 5 indexed citations
9.
Larroque, Hélène, et al.. (2020). Genomic predictions based on haplotypes fitted as pseudo-SNP for milk production and udder type traits and SCS in French dairy goats. Journal of Dairy Science. 103(12). 11559–11573. 18 indexed citations
10.
Oget, Claire, Gwenola Tosser‐Klopp, & Rachel Rupp. (2019). Genetic and genomic studies in ovine mastitis. Small Ruminant Research. 176. 55–64. 22 indexed citations
11.
12.
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
13.
Martin, Pauline, Isabelle Palhière, Cyrielle Maroteau, et al.. (2018). Genome-wide association mapping for type and mammary health traits in French dairy goats identifies a pleiotropic region on chromosome 19 in the Saanen breed. Journal of Dairy Science. 101(6). 5214–5226. 28 indexed citations
14.
Martin, Pauline, Isabelle Palhière, Cyrielle Maroteau, et al.. (2017). A genome scan for milk production traits in dairy goats reveals two new mutations in Dgat1 reducing milk fat content. Scientific Reports. 7(1). 1872–1872. 61 indexed citations
15.
Martin, Pauline, Isabelle Palhière, Anne Ricard, Gwenola Tosser‐Klopp, & Rachel Rupp. (2016). Genome Wide Association Study Identifies New Loci Associated with Undesired Coat Color Phenotypes in Saanen Goats. PLoS ONE. 11(3). e0152426–e0152426. 35 indexed citations
16.
17.
Maroteau, Cyrielle, et al.. (2014). Genetic parameter estimation for major milk fatty acids in Alpine and Saanen primiparous goats. Journal of Dairy Science. 97(5). 3142–3155. 20 indexed citations
18.
Larroque, Hélène, et al.. (2013). A first step toward genomic selection in the multi-breed French dairy goat population. Journal of Dairy Science. 96(11). 7294–7305. 50 indexed citations
19.
Rupp, Rachel, et al.. (2011). Genetic parameters for milk somatic cell score and relationship with production and udder type traits in dairy Alpine and Saanen primiparous goats. Journal of Dairy Science. 94(7). 3629–3634. 82 indexed citations
20.
Moréno, Carole, L. Gruner, Aniello Scala, et al.. (2006). QTLs for resistance to internal parasites in two designs based on natural and experimental conditions of infection.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 15 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Holm Zerbe Breakdown of academic impact, for papers by Kieran G. Meade Breakdown of academic impact, for papers by Wolfram Petzl Breakdown of academic impact, for papers by K. Huijps Breakdown of academic impact, for papers by J. Krzyżewski Breakdown of academic impact, for papers by Stephen N. White Breakdown of academic impact, for papers by Carol G. Chitko-McKown Breakdown of academic impact, for papers by Hajime Nagahata Breakdown of academic impact, for papers by Gregory P. Harhay Breakdown of academic impact, for papers by Yeong Ho Hong
Rankless by CCL
2026