Guillaume P. Ramstein

915 total citations
19 papers, 456 citations indexed

About

Guillaume P. Ramstein is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Guillaume P. Ramstein has authored 19 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 10 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Guillaume P. Ramstein's work include Genetic Mapping and Diversity in Plants and Animals (10 papers), Genetics and Plant Breeding (6 papers) and Genetic and phenotypic traits in livestock (5 papers). Guillaume P. Ramstein is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (10 papers), Genetics and Plant Breeding (6 papers) and Genetic and phenotypic traits in livestock (5 papers). Guillaume P. Ramstein collaborates with scholars based in United States, Denmark and China. Guillaume P. Ramstein's co-authors include Edward S. Buckler, Jacob D. Washburn, Sarah E. Jensen, Hai Wang, Maria Katherine Mejía‐Guerra, Ravi Valluru, Karl A. Kremling, Michael D. Casler, C. Robin Buell and Joseph Evans and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and PLANT PHYSIOLOGY.

In The Last Decade

Guillaume P. Ramstein

18 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guillaume P. Ramstein United States 13 283 194 167 44 25 19 456
Randi A. Famula United States 15 443 1.6× 93 0.5× 151 0.9× 25 0.6× 21 0.8× 27 547
Jeongho Baek South Korea 15 464 1.6× 147 0.8× 95 0.6× 14 0.3× 35 1.4× 40 551
Deanne Wright United States 7 496 1.8× 312 1.6× 87 0.5× 110 2.5× 33 1.3× 10 563
K. V. Prabhu India 13 613 2.2× 227 1.2× 149 0.9× 66 1.5× 22 0.9× 36 695
Shipra Mittal United States 11 430 1.5× 35 0.2× 253 1.5× 56 1.3× 153 6.1× 14 616
Wenqiang Tang China 13 708 2.5× 57 0.3× 514 3.1× 13 0.3× 14 0.6× 24 833
Sharon Westcott Australia 15 617 2.2× 282 1.5× 177 1.1× 110 2.5× 24 1.0× 29 748
Linzhou Huang China 9 466 1.6× 128 0.7× 212 1.3× 31 0.7× 40 1.6× 19 559
Neeraj Budhlakoti India 13 385 1.4× 186 1.0× 68 0.4× 73 1.7× 23 0.9× 57 500
Jolien De Block Belgium 13 466 1.6× 92 0.5× 271 1.6× 35 0.8× 18 0.7× 15 577

Countries citing papers authored by Guillaume P. Ramstein

Since Specialization
Citations

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

Fields of papers citing papers by Guillaume P. Ramstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guillaume P. Ramstein. 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 Guillaume P. Ramstein. The network helps show where Guillaume P. Ramstein may publish in the future.

Co-authorship network of co-authors of Guillaume P. Ramstein

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

All Works

19 of 19 papers shown
1.
Bataillon, Thomas, et al.. (2025). In silico prediction of variant effects: promises and limitations for precision plant breeding. Theoretical and Applied Genetics. 138(8). 193–193. 1 indexed citations
2.
Hansen, Pernille, Odd Arne Rognli, Gintaras Brazauskas, et al.. (2025). Genomic prediction of agronomic traits in perennial ryegrass (Lolium perenne L.) and genotype x environment interactions at the limit of the species distribution. Theoretical and Applied Genetics. 138(11). 281–281.
3.
Xu, Hui, et al.. (2024). Modeling 0.6 million genes for the rational design of functional cis -regulatory variants and de novo design of cis- regulatory sequences. Proceedings of the National Academy of Sciences. 121(26). e2319811121–e2319811121. 15 indexed citations
4.
Sarup, Pernille, Jens Due Jensen, Jihad Orabi, et al.. (2024). Multi-population GWAS detects robust marker associations in a newly established six-rowed winter barley breeding program. Heredity. 134(1). 33–48. 4 indexed citations
5.
Ramstein, Guillaume P., et al.. (2023). Elucidating the patterns of pleiotropy and its biological relevance in maize. PLoS Genetics. 19(3). e1010664–e1010664. 3 indexed citations
6.
Long, Evan, M. Cinta Romay, Guillaume P. Ramstein, Edward S. Buckler, & Kelly R. Robbins. (2023). Utilizing evolutionary conservation to detect deleterious mutations and improve genomic prediction in cassava. Frontiers in Plant Science. 13. 1041925–1041925. 8 indexed citations
7.
Wu, Yaoyao, Dawei Li, Yong Hu, et al.. (2023). Phylogenomic discovery of deleterious mutations facilitates hybrid potato breeding. Cell. 186(11). 2313–2328.e15. 60 indexed citations
8.
Lin, Meng, Susanne Matschi, Guillaume P. Ramstein, et al.. (2022). Integrating GWAS and TWAS to elucidate the genetic architecture of maize leaf cuticular conductance. PLANT PHYSIOLOGY. 189(4). 2144–2158. 18 indexed citations
9.
Ramstein, Guillaume P. & Edward S. Buckler. (2022). Prediction of evolutionary constraint by genomic annotations improves functional prioritization of genomic variants in maize. Genome biology. 23(1). 183–183. 19 indexed citations
10.
Buckler, Edward S., et al.. (2021). Haplotype associated RNA expression (HARE) improves prediction of complex traits in maize. PLoS Genetics. 17(10). e1009568–e1009568. 4 indexed citations
11.
Washburn, Jacob D., Guillaume P. Ramstein, Timothy Reeves, et al.. (2021). Predicting phenotypes from genetic, environment, management, and historical data using CNNs. Theoretical and Applied Genetics. 134(12). 3997–4011. 30 indexed citations
12.
Tanaka, R., Xiaowei Li, Guillaume P. Ramstein, et al.. (2021). High-resolution genome-wide association study pinpoints metal transporter and chelator genes involved in the genetic control of element levels in maize grain. G3 Genes Genomes Genetics. 11(4). 19 indexed citations
13.
Ramstein, Guillaume P., Sara J. Larsson, Jason P. Cook, et al.. (2020). Dominance Effects and Functional Enrichments Improve Prediction of Agronomic Traits in Hybrid Maize. Genetics. 215(1). 215–230. 26 indexed citations
14.
Washburn, Jacob D., Maria Katherine Mejía‐Guerra, Guillaume P. Ramstein, et al.. (2019). Evolutionarily informed deep learning methods for predicting relative transcript abundance from DNA sequence. Proceedings of the National Academy of Sciences. 116(12). 5542–5549. 113 indexed citations
15.
Ramstein, Guillaume P., Sarah E. Jensen, & Edward S. Buckler. (2018). Breaking the curse of dimensionality to identify causal variants in Breeding 4. Theoretical and Applied Genetics. 132(3). 559–567. 55 indexed citations
16.
Grabowski, Paul, R. W. Doerge, Jianxin Ma, et al.. (2018). Genome-Wide Association Study in Pseudo-F2 Populations of Switchgrass Identifies Genetic Loci Affecting Heading and Anthesis Dates. Frontiers in Plant Science. 9. 1250–1250. 14 indexed citations
17.
Jabbour, Florian, Myriam Gaudeul, Josie Lambourdière, et al.. (2017). Phylogeny, biogeography and character evolution in the tribe Desmodieae (Fabaceae: Papilionoideae), with special emphasis on the New Caledonian endemic genera. Molecular Phylogenetics and Evolution. 118. 108–121. 22 indexed citations
18.
Casler, Michael D. & Guillaume P. Ramstein. (2017). Breeding for Biomass Yield in Switchgrass Using Surrogate Measures of Yield. BioEnergy Research. 11(1). 1–12. 19 indexed citations
19.
Ramstein, Guillaume P., Joseph Evans, Shawn M. Kaeppler, et al.. (2016). Accuracy of Genomic Prediction in Switchgrass (Panicum virgatum L.) Improved by Accounting for Linkage Disequilibrium. G3 Genes Genomes Genetics. 6(4). 1049–1062. 26 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 Randi A. Famula Breakdown of academic impact, for papers by Jeongho Baek Breakdown of academic impact, for papers by Deanne Wright Breakdown of academic impact, for papers by K. V. Prabhu Breakdown of academic impact, for papers by Shipra Mittal Breakdown of academic impact, for papers by Wenqiang Tang Breakdown of academic impact, for papers by Sharon Westcott Breakdown of academic impact, for papers by Linzhou Huang Breakdown of academic impact, for papers by Neeraj Budhlakoti Breakdown of academic impact, for papers by Jolien De Block
Rankless by CCL
2026