Jacob D. Washburn

1.3k total citations
31 papers, 720 citations indexed

About

Jacob D. Washburn is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Jacob D. Washburn has authored 31 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 17 papers in Genetics and 13 papers in Molecular Biology. Recurrent topics in Jacob D. Washburn's work include Genetic Mapping and Diversity in Plants and Animals (13 papers), Genetics and Plant Breeding (9 papers) and Chromosomal and Genetic Variations (7 papers). Jacob D. Washburn is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (13 papers), Genetics and Plant Breeding (9 papers) and Chromosomal and Genetic Variations (7 papers). Jacob D. Washburn collaborates with scholars based in United States, Netherlands and Canada. Jacob D. Washburn's co-authors include J. Chris Pires, James A. Birchler, Patrick P. Edger, Gavin C. Conant, Guillaume P. Ramstein, Edward S. Buckler, James C. Schnable, Maria Katherine Mejía‐Guerra, Ravi Valluru and Karl A. Kremling and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jacob D. Washburn

31 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob D. Washburn United States 13 488 358 239 103 57 31 720
Xiaoling Song China 19 649 1.3× 318 0.9× 150 0.6× 57 0.6× 46 0.8× 60 912
J. Grey Monroe United States 14 431 0.9× 278 0.8× 162 0.7× 103 1.0× 20 0.4× 28 691
Jolien De Block Belgium 13 466 1.0× 271 0.8× 92 0.4× 18 0.2× 35 0.6× 15 577
Michelle C. Stitzer United States 13 739 1.5× 471 1.3× 233 1.0× 47 0.5× 16 0.3× 19 895
Jeremy E. Coate United States 19 963 2.0× 721 2.0× 209 0.9× 169 1.6× 29 0.5× 25 1.2k
Liviu R. Totir United States 12 608 1.2× 85 0.2× 551 2.3× 71 0.7× 205 3.6× 25 830
Kirin Demuynck Belgium 13 672 1.4× 429 1.2× 89 0.4× 24 0.2× 45 0.8× 17 797
John G. Hodge United States 5 294 0.6× 128 0.4× 80 0.3× 97 0.9× 18 0.3× 5 404
Trevor W. Rife United States 7 657 1.3× 141 0.4× 380 1.6× 63 0.6× 89 1.6× 13 803
Scott R. Kalberer United States 9 466 1.0× 154 0.4× 53 0.2× 44 0.4× 35 0.6× 11 603

Countries citing papers authored by Jacob D. Washburn

Since Specialization
Citations

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

Fields of papers citing papers by Jacob D. Washburn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob D. Washburn. 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 Jacob D. Washburn. The network helps show where Jacob D. Washburn may publish in the future.

Co-authorship network of co-authors of Jacob D. Washburn

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob D. Washburn. A scholar is included among the top collaborators of Jacob D. Washburn 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 Jacob D. Washburn. Jacob D. Washburn 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.
Washburn, Jacob D., et al.. (2025). Improving plant breeding through AI-supported data integration. Theoretical and Applied Genetics. 138(6). 132–132. 5 indexed citations
2.
Walden, Nora, Gavin C. Conant, Michael R. McKain, et al.. (2025). Mesopolyploidy as a taxonomic clade marker for Brassica and relatives (tribe Brassiceae). Annals of Botany. 1 indexed citations
3.
Angelovici, Ruthie, et al.. (2024). Halophytes and heavy metals: A multi‐omics approach to understand the role of gene and genome duplication in the abiotic stress tolerance of Cakile maritima. American Journal of Botany. 111(8). e16310–e16310. 6 indexed citations
4.
He, Cheng, Jacob D. Washburn, Heidi F. Kaeppler, et al.. (2024). Trait association and prediction through integrative k ‐mer analysis. The Plant Journal. 120(2). 833–850. 1 indexed citations
5.
Washburn, Jacob D., et al.. (2024). High temporal resolution unoccupied aerial systems phenotyping provides unique information between flight dates. SHILAP Revista de lepidopterología. 7(1). 2 indexed citations
6.
Adak, Alper, Seth C. Murray, & Jacob D. Washburn. (2024). Deciphering temporal growth patterns in maize: integrative modeling of phenotype dynamics and underlying genomic variations. New Phytologist. 242(1). 121–136. 7 indexed citations
7.
Wallace, Jason G., James C. Schnable, Judith M. Kolkman, et al.. (2023). Yield prediction through integration of genetic, environment, and management data through deep learning. G3 Genes Genomes Genetics. 13(4). 26 indexed citations
8.
Lopez‐Cruz, Marco, Jacob D. Washburn, Natalia de León, et al.. (2023). Leveraging data from the Genomes-to-Fields Initiative to investigate genotype-by-environment interactions in maize in North America. Nature Communications. 14(1). 6904–6904. 18 indexed citations
9.
10.
Nelson, Sven, et al.. (2023). RootBot: High‐throughput root stress phenotyping robot. Applications in Plant Sciences. 11(6). e11541–e11541. 3 indexed citations
11.
Washburn, Jacob D., et al.. (2023). GWAS analysis of maize host plant resistance to western corn rootworm (Coleoptera: Chrysomelidae) reveals candidate small effect loci for resistance breeding. Journal of Economic Entomology. 116(6). 2184–2192. 3 indexed citations
12.
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
13.
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
14.
Washburn, Jacob D., et al.. (2019). Progressive heterosis in genetically defined tetraploid maize. Journal of genetics and genomics. 46(8). 389–396. 8 indexed citations
15.
Washburn, Jacob D., et al.. (2019). Predictive Breeding for Maize: Making Use of Molecular Phenotypes, Machine Learning, and Physiological Crop Models. Crop Science. 0(0). 0–0. 2 indexed citations
16.
Schnable, James C., Jacob D. Washburn, Patrice S. Albert, et al.. (2018). Location of low copy genes in chromosomes of Brachiaria spp.. Molecular Biology Reports. 45(2). 109–118. 6 indexed citations
17.
Edger, Patrick P., Ronald D. Smith, Michael R. McKain, et al.. (2017). Subgenome Dominance in an Interspecific Hybrid, Synthetic Allopolyploid, and a 140-Year-Old Naturally Established Neo-Allopolyploid Monkeyflower. The Plant Cell. 29(9). 2150–2167. 173 indexed citations
18.
Washburn, Jacob D., James C. Schnable, Gavin C. Conant, et al.. (2017). Genome-Guided Phylo-Transcriptomic Methods and the Nuclear Phylogenetic Tree of the Paniceae Grasses. Scientific Reports. 7(1). 13528–13528. 24 indexed citations
19.
Washburn, Jacob D., Seth C. Murray, Byron L. Burson, et al.. (2013). Estimation of Rhizome Composition and Overwintering Ability in Perennial Sorghum spp. Using Near-Infrared Spectroscopy (NIRS). BioEnergy Research. 6(2). 822–829. 10 indexed citations
20.
Washburn, Jacob D., Seth C. Murray, Byron L. Burson, Robert R. Klein, & Russell W. Jessup. (2012). Targeted mapping of quantitative trait locus regions for rhizomatousness in chromosome SBI-01 and analysis of overwintering in a Sorghum bicolor × S. propinquum population. Molecular Breeding. 31(1). 153–162. 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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