Daniel E. Runcie

2.3k total citations
44 papers, 1.1k citations indexed

About

Daniel E. Runcie is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Daniel E. Runcie has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Genetics, 26 papers in Plant Science and 8 papers in Molecular Biology. Recurrent topics in Daniel E. Runcie's work include Genetic and phenotypic traits in livestock (22 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers) and Genetics and Plant Breeding (14 papers). Daniel E. Runcie is often cited by papers focused on Genetic and phenotypic traits in livestock (22 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers) and Genetics and Plant Breeding (14 papers). Daniel E. Runcie collaborates with scholars based in United States, Mexico and France. Daniel E. Runcie's co-authors include Lorin Crawford, Sayan Mukherjee, Hao Cheng, Johanna Schmitt, Gregory A. Wray, David Garfield, Courtney C. Babbitt, Joel Rodríguez-Medina, Siobhán M. Brady and Shane Abbitt and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel E. Runcie

42 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel E. Runcie United States 19 632 382 301 106 104 44 1.1k
Heidi Schwaninger United States 15 892 1.4× 315 0.8× 363 1.2× 103 1.0× 101 1.0× 18 1.2k
Juliette de Meaux Germany 23 1.1k 1.8× 404 1.1× 611 2.0× 272 2.6× 102 1.0× 41 1.6k
Christopher J. Grassa United States 17 391 0.6× 413 1.1× 405 1.3× 278 2.6× 172 1.7× 25 1.1k
Anthony J. Greenberg United States 18 830 1.3× 740 1.9× 478 1.6× 190 1.8× 255 2.5× 30 1.6k
Li Gong China 23 400 0.6× 445 1.2× 588 2.0× 57 0.5× 233 2.2× 97 1.2k
Tyler A. Elliott Canada 11 733 1.2× 277 0.7× 719 2.4× 113 1.1× 107 1.0× 17 1.2k
Sandrine Picq France 13 526 0.8× 182 0.5× 163 0.5× 201 1.9× 160 1.5× 21 1.2k
Shannon Dillon Australia 15 227 0.4× 366 1.0× 207 0.7× 123 1.2× 182 1.8× 26 805
Pedro A. Sosa Spain 19 414 0.7× 406 1.1× 172 0.6× 274 2.6× 147 1.4× 61 847
Yuval Sapir Israel 20 606 1.0× 264 0.7× 294 1.0× 687 6.5× 171 1.6× 59 1.2k

Countries citing papers authored by Daniel E. Runcie

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Runcie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Runcie. 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 Daniel E. Runcie. The network helps show where Daniel E. Runcie may publish in the future.

Co-authorship network of co-authors of Daniel E. Runcie

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Runcie. A scholar is included among the top collaborators of Daniel E. Runcie 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 Daniel E. Runcie. Daniel E. Runcie 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.
Crossa, José, Johannes W. R. Martini, Paulino Pérez‐Rodríguez, et al.. (2025). Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software. Trends in Plant Science. 30(7). 756–774. 13 indexed citations
2.
Hu, Haixiao, Renaud Rincent, & Daniel E. Runcie. (2024). MegaLMM improves genomic predictions in new environments using environmental covariates. Genetics. 229(1). 1–41. 2 indexed citations
3.
Schmitt, Johanna, et al.. (2024). Exploring the molecular regulation of vernalization‐induced flowering synchrony in Arabidopsis. New Phytologist. 242(3). 947–959. 5 indexed citations
4.
Crossa, José, Osval A. Montesinos‐López, Germano Costa‐Neto, et al.. (2024). Machine learning algorithms translate big data into predictive breeding accuracy. Trends in Plant Science. 30(2). 167–184. 19 indexed citations
5.
Martínez‐Berdeja, Alejandra, Miki Okada, Martha D. Cooper, et al.. (2023). Precipitation timing and soil substrate drive phenology and fitness of Arabidopsis thaliana in a Mediterranean environment. Functional Ecology. 37(9). 2471–2487. 4 indexed citations
6.
Vieira, Caio Canella, Esteban F. Rios, Valerio Hoyos‐Villegas, et al.. (2023). Improving predictive ability in sparse testing designs in soybean populations. Frontiers in Genetics. 14. 1269255–1269255. 8 indexed citations
7.
Janzen, Garrett M., Anthony J. Studer, Daniel E. Runcie, et al.. (2022). Demonstration of local adaptation in maize landraces by reciprocal transplantation. Evolutionary Applications. 15(5). 817–837. 15 indexed citations
8.
Hudson, Asher I., Sébastien Praud, Pierre Dubreuil, et al.. (2022). Modeling allelic diversity of multiparent mapping populations affects detection of quantitative trait loci. G3 Genes Genomes Genetics. 12(3). 7 indexed citations
9.
Hu, Haixiao, Matthew B. Hufford, Sherry Flint-García, et al.. (2022). Allele-specific Expression Reveals Multiple Paths to Highland Adaptation in Maize. Molecular Biology and Evolution. 39(11). 10 indexed citations
10.
Hudson, Asher I., Pierre Dubreuil, Marie-Hélène Tixier, et al.. (2022). Analysis of genotype-by-environment interactions in a maize mapping population. G3 Genes Genomes Genetics. 12(3). 23 indexed citations
11.
Pincot, Dominique D. A., Mirko Ledda, Mitchell J. Feldmann, et al.. (2021). Social network analysis of the genealogy of strawberry: retracing the wild roots of heirloom and modern cultivars. G3 Genes Genomes Genetics. 11(3). 23 indexed citations
12.
Hu, Haixiao, Malachy T. Campbell, Trevor H. Yeats, et al.. (2021). Multi-omics prediction of oat agronomic and seed nutritional traits across environments and in distantly related populations. Theoretical and Applied Genetics. 134(12). 4043–4054. 29 indexed citations
13.
Runcie, Daniel E., et al.. (2021). MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traits. Genome biology. 22(1). 213–213. 45 indexed citations
14.
Zu, Pengjuan, et al.. (2020). Floral signals evolve in a predictable way under artificial and pollinator selection in Brassica rapa. BMC Evolutionary Biology. 20(1). 127–127. 7 indexed citations
15.
Runcie, Daniel E. & Hao Cheng. (2019). Pitfalls and Remedies for Cross Validation with Multi-trait Genomic Prediction Methods. G3 Genes Genomes Genetics. 9(11). 3727–3741. 41 indexed citations
16.
Gray, Sharon B., Joel Rodríguez-Medina, Ted Toal, et al.. (2019). Translational regulation contributes to the elevated CO2 response in two Solanum species. The Plant Journal. 102(2). 383–397. 12 indexed citations
17.
Runcie, Daniel E. & Lorin Crawford. (2019). Fast and flexible linear mixed models for genome-wide genetics. PLoS Genetics. 15(2). e1007978–e1007978. 40 indexed citations
18.
Runcie, Daniel E., Narimane Dorey, David Garfield, et al.. (2016). Genomic characterization of the evolutionary potential of the sea urchin Strongylocentrotus droebachiensis facing ocean acidification. Genome Biology and Evolution. 8(12). evw272–evw272. 17 indexed citations
19.
Donohue, Kathleen, Liana T. Burghardt, Daniel E. Runcie, Kent J. Bradford, & Johanna Schmitt. (2014). Applying developmental threshold models to evolutionary ecology. Trends in Ecology & Evolution. 30(2). 66–77. 49 indexed citations
20.
Garfield, David, et al.. (2013). The Impact of Gene Expression Variation on the Robustness and Evolvability of a Developmental Gene Regulatory Network. PLoS Biology. 11(10). e1001696–e1001696. 60 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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