Eric Lyons

21.3k total citations
70 papers, 3.7k citations indexed

About

Eric Lyons is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Eric Lyons has authored 70 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 35 papers in Plant Science and 11 papers in Genetics. Recurrent topics in Eric Lyons's work include Genomics and Phylogenetic Studies (34 papers), Chromosomal and Genetic Variations (21 papers) and Plant Disease Resistance and Genetics (8 papers). Eric Lyons is often cited by papers focused on Genomics and Phylogenetic Studies (34 papers), Chromosomal and Genetic Variations (21 papers) and Plant Disease Resistance and Genetics (8 papers). Eric Lyons collaborates with scholars based in United States, Canada and China. Eric Lyons's co-authors include Michael Freeling, Brent S. Pedersen, Haibao Tang, James C. Schnable, Damon Lisch, Ray Ming, M. Shahid Alam, Andrew H. Paterson, Patrick P. Edger and Andrew D. L. Nelson 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

Eric Lyons

66 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Lyons United States 29 2.4k 2.3k 679 313 170 70 3.7k
Xiyin Wang China 35 3.9k 1.6× 4.3k 1.9× 1.1k 1.7× 606 1.9× 171 1.0× 91 6.0k
Paul Peluso United States 20 2.6k 1.1× 1.3k 0.6× 911 1.3× 136 0.4× 450 2.6× 27 4.0k
Haiying Liang United States 19 1.7k 0.7× 1.9k 0.8× 433 0.6× 432 1.4× 110 0.6× 69 2.8k
Norman Warthmann Germany 24 3.6k 1.5× 4.6k 2.0× 1.3k 2.0× 435 1.4× 183 1.1× 33 5.9k
Richard D. Hayes United States 9 2.8k 1.2× 3.1k 1.4× 496 0.7× 268 0.9× 204 1.2× 18 4.7k
David R. Rank United States 21 2.0k 0.8× 1.3k 0.6× 594 0.9× 168 0.5× 347 2.0× 34 3.1k
Laurent Falquet Switzerland 27 2.7k 1.1× 1.2k 0.5× 430 0.6× 118 0.4× 330 1.9× 79 4.6k
Françoise Thibaud‐Nissen United States 18 1.9k 0.8× 1.8k 0.8× 467 0.7× 197 0.6× 177 1.0× 24 3.1k
Ronan C. O’Malley United States 31 5.9k 2.4× 5.0k 2.2× 1.1k 1.6× 271 0.9× 312 1.8× 56 8.7k
Christian Iseli Switzerland 30 2.1k 0.9× 589 0.3× 550 0.8× 120 0.4× 175 1.0× 60 3.1k

Countries citing papers authored by Eric Lyons

Since Specialization
Citations

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

Fields of papers citing papers by Eric Lyons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Lyons

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Lyons. A scholar is included among the top collaborators of Eric Lyons 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 Eric Lyons. Eric Lyons 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.
Christenson, C., Jiahuai Hu, Andrea L. Eveland, et al.. (2024). Quantifying leaf symptoms of sorghum charcoal rot in images of field‐grown plants using deep neural networks. SHILAP Revista de lepidopterología. 7(1). 1 indexed citations
2.
Tuggle, Christopher K., Nicole Scott, Jennifer Clarke, et al.. (2023). 175 Building the Tools to Solve the Genome to Phenome Puzzle in Agriculture. Journal of Animal Science. 101(Supplement_2). 25–26.
3.
Hao, Yue, Eric Lyons, Patrick P. Edger, et al.. (2022). Convergent evolution of polyploid genomes from across the eukaryotic tree of life. G3 Genes Genomes Genetics. 12(6). 12 indexed citations
4.
Montes, Ricardo A. Chávez, Jeremy Pardo, Robyn F. Powell, et al.. (2022). A comparative genomics examination of desiccation tolerance and sensitivity in two sister grass species. Proceedings of the National Academy of Sciences. 119(5). 12 indexed citations
5.
Yu, Liang, Jordan R. Brock, Ewelina Sokołowska, et al.. (2022). Identification and functional annotation of long intergenic non-coding RNAs in Brassicaceae. The Plant Cell. 34(9). 3233–3260. 27 indexed citations
6.
Hao, Yue, Kerrie Barry, Yi Peng, et al.. (2018). Preferential retention of genes from one parental genome after polyploidy illustrates the nature and scope of the genomic conflicts induced by hybridization. PLoS Genetics. 14(3). e1007267–e1007267. 52 indexed citations
7.
Xu, Shuqing, Aura Navarro‐Quezada, Heiner Kuhl, et al.. (2017). Wild tobacco genomes reveal the evolution of nicotine biosynthesis. Proceedings of the National Academy of Sciences. 114(23). 6133–6138. 135 indexed citations
8.
Nelson, Andrew D. L., et al.. (2017). Evolinc: A Tool for the Identification and Evolutionary Comparison of Long Intergenic Non-coding RNAs. Frontiers in Genetics. 8. 52–52. 23 indexed citations
9.
Joyce, Blake L., et al.. (2017). Leveraging CyVerse Resources for <em>De Novo</em> Comparative Transcriptomics of Underserved (Non-model) Organisms. Journal of Visualized Experiments. 4 indexed citations
10.
Haug-Baltzell, Asher, et al.. (2017). SynMap2 and SynMap3D: web-based whole-genome synteny browsers. Bioinformatics. 33(14). 2197–2198. 101 indexed citations
11.
Foley, Shawn W., Sager J. Gosai, Dongxue Wang, et al.. (2017). A Global View of RNA-Protein Interactions Identifies Post-transcriptional Regulators of Root Hair Cell Fate. Developmental Cell. 41(2). 204–220.e5. 43 indexed citations
12.
Tang, Haibao, et al.. (2015). SynFind: Compiling Syntenic Regions across Any Set of Genomes on Demand. Genome Biology and Evolution. 7(12). 3286–3298. 48 indexed citations
13.
Tang, Haibao, Eric Lyons, & Christopher D. Town. (2015). Optical mapping in plant comparative genomics. GigaScience. 4(1). 3–3. 36 indexed citations
14.
Haug-Baltzell, Asher, Erich D. Jarvis, Fiona McCarthy, & Eric Lyons. (2015). Identification of dopamine receptors across the extant avian family tree and analysis with other clades uncovers a polyploid expansion among vertebrates. Frontiers in Neuroscience. 9. 361–361. 11 indexed citations
15.
McCarthy, Fiona & Eric Lyons. (2013). From data to function: Functional modeling of poultry genomics data. Poultry Science. 92(9). 2519–2529. 3 indexed citations
16.
Schnable, James C., Michael Freeling, & Eric Lyons. (2012). Genome-Wide Analysis of Syntenic Gene Deletion in the Grasses. Genome Biology and Evolution. 4(3). 265–277. 107 indexed citations
17.
Tang, Haibao & Eric Lyons. (2012). Unleashing the Genome of Brassica Rapa. Frontiers in Plant Science. 3. 172–172. 38 indexed citations
18.
Schnable, James C. & Eric Lyons. (2011). Comparative genomics with maize and other grasses: from genes to genomes!. Maydica. 56(2). 183–200. 9 indexed citations
19.
Tang, Haibao, Eric Lyons, Brent S. Pedersen, et al.. (2011). Screening synteny blocks in pairwise genome comparisons through integer programming. BMC Bioinformatics. 12(1). 102–102. 96 indexed citations
20.
Guzdial, Mark, et al.. (1999). Using a CSCL-Driven shift in agency to undertake educational reform. 25–es. 12 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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