Elhan S. Ersoz

7.2k total citations · 3 hit papers
17 papers, 3.9k citations indexed

About

Elhan S. Ersoz is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Elhan S. Ersoz has authored 17 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 12 papers in Plant Science and 3 papers in Molecular Biology. Recurrent topics in Elhan S. Ersoz's work include Genetic Mapping and Diversity in Plants and Animals (12 papers), Genetic and phenotypic traits in livestock (9 papers) and Genetics and Plant Breeding (7 papers). Elhan S. Ersoz is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (12 papers), Genetic and phenotypic traits in livestock (9 papers) and Genetics and Plant Breeding (7 papers). Elhan S. Ersoz collaborates with scholars based in United States, Spain and Indonesia. Elhan S. Ersoz's co-authors include Edward S. Buckler, Zhiwu Zhang, Michael A. Gore, Peter J. Bradbury, Chao‐Qiang Lai, Jianming Yu, Hemant K. Tiwari, Rory J. Todhunter, Donna K. Arnett and José M. Ordovás and has published in prestigious journals such as Science, Nature Genetics and PLoS ONE.

In The Last Decade

Elhan S. Ersoz

17 papers receiving 3.8k citations

Hit Papers

Mixed linear model approach adapted for genome-wide assoc... 2009 2026 2014 2020 2010 2009 2009 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elhan S. Ersoz United States 17 2.8k 2.4k 829 282 183 17 3.9k
Eric Huttner Australia 21 3.1k 1.1× 1.3k 0.5× 1.2k 1.4× 214 0.8× 134 0.7× 37 3.7k
Jason Carling Australia 20 2.3k 0.8× 1.5k 0.6× 590 0.7× 197 0.7× 251 1.4× 33 3.2k
Masanori Yamasaki Japan 21 4.4k 1.5× 3.6k 1.5× 1.0k 1.2× 346 1.2× 80 0.4× 62 5.7k
I. Vroh Bi Belgium 10 3.1k 1.1× 2.6k 1.1× 797 1.0× 261 0.9× 64 0.3× 14 4.2k
Gaël Pressoir United States 11 3.5k 1.2× 2.9k 1.2× 699 0.8× 436 1.5× 59 0.3× 16 4.6k
Vincent Segura France 22 1.9k 0.7× 1.1k 0.5× 794 1.0× 122 0.4× 117 0.6× 54 2.7k
Denise E. Costich United States 20 1.8k 0.6× 1.0k 0.4× 626 0.8× 288 1.0× 121 0.7× 41 2.4k
Matthieu Falque France 32 3.2k 1.1× 1.7k 0.7× 1.4k 1.7× 369 1.3× 83 0.5× 67 4.1k
Michael Olsen Kenya 31 3.4k 1.2× 2.3k 0.9× 456 0.6× 498 1.8× 38 0.2× 65 4.0k
Terry Casstevens United States 8 6.0k 2.1× 4.1k 1.7× 1.4k 1.7× 586 2.1× 151 0.8× 10 7.5k

Countries citing papers authored by Elhan S. Ersoz

Since Specialization
Citations

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

Fields of papers citing papers by Elhan S. Ersoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elhan S. Ersoz. 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 Elhan S. Ersoz. The network helps show where Elhan S. Ersoz may publish in the future.

Co-authorship network of co-authors of Elhan S. Ersoz

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

All Works

17 of 17 papers shown
1.
Ersoz, Elhan S., Nicolás F. Martín, & Ann E. Stapleton. (2020). On to the next chapter for crop breeding: Convergence with data science. Crop Science. 60(2). 639–655. 21 indexed citations
2.
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
3.
Guo, Zhigang, Dominic M. Tucker, Christopher Basten, et al.. (2014). The impact of population structure on genomic prediction in stratified populations. Theoretical and Applied Genetics. 127(3). 749–762. 141 indexed citations
4.
Tucker, Dominic M., Daolong Wang, Christopher Basten, et al.. (2013). Accuracy of Across-Environment Genome-Wide Prediction in Maize Nested Association Mapping Populations. G3 Genes Genomes Genetics. 3(2). 263–272. 33 indexed citations
5.
Ersoz, Elhan S., Mark H. Wright, Jasmyn Pangilinan, et al.. (2012). SNP Discovery with EST and NextGen Sequencing in Switchgrass (Panicum virgatum L.). PLoS ONE. 7(9). e44112–e44112. 16 indexed citations
6.
Li, Huihui, Peter J. Bradbury, Elhan S. Ersoz, Edward S. Buckler, & Jiankang Wang. (2011). Joint QTL Linkage Mapping for Multiple-Cross Mating Design Sharing One Common Parent. PLoS ONE. 6(3). e17573–e17573. 89 indexed citations
7.
Zhang, Zhiwu, Elhan S. Ersoz, Chao‐Qiang Lai, et al.. (2010). Mixed linear model approach adapted for genome-wide association studies. Nature Genetics. 42(4). 355–360. 1529 indexed citations breakdown →
8.
Ersoz, Elhan S., Mark H. Wright, Santiago C. González‐Martínez, Charles H. Langley, & David B. Neale. (2010). Evolution of Disease Response Genes in Loblolly Pine: Insights from Candidate Genes. PLoS ONE. 5(12). e14234–e14234. 20 indexed citations
9.
Gore, Michael A., Mark H. Wright, Elhan S. Ersoz, et al.. (2009). Large‐Scale Discovery of Gene‐Enriched SNPs. The Plant Genome. 2(2). 46 indexed citations
10.
Flint-García, Sherry, Edward S. Buckler, Peter Tiffin, Elhan S. Ersoz, & Nathan M. Springer. (2009). Heterosis Is Prevalent for Multiple Traits in Diverse Maize Germplasm. PLoS ONE. 4(10). e7433–e7433. 142 indexed citations
11.
Myles, Sean, Jason A. Peiffer, Patrick J. Brown, et al.. (2009). Association Mapping: Critical Considerations Shift from Genotyping to Experimental Design. The Plant Cell. 21(8). 2194–2202. 607 indexed citations breakdown →
12.
Gore, Michael A., Jer-Ming Chia, Robert J. Elshire, et al.. (2009). A First-Generation Haplotype Map of Maize. Science. 326(5956). 1115–1117. 536 indexed citations breakdown →
13.
González‐Martínez, Santiago C., D. M. Huber, Elhan S. Ersoz, John M. Davis, & David B. Neale. (2008). Association genetics in Pinus taeda L. II. Carbon isotope discrimination. Heredity. 101(1). 19–26. 108 indexed citations
14.
Eckert, Andrew J., Barnaly Pande, Elhan S. Ersoz, et al.. (2008). High-throughput genotyping and mapping of single nucleotide polymorphisms in loblolly pine (Pinus taeda L.). Tree Genetics & Genomes. 5(1). 225–234. 100 indexed citations
15.
González‐Martínez, Santiago C., Nicholas C. Wheeler, Elhan S. Ersoz, C. Dana Nelson, & David B. Neale. (2006). Association Genetics in Pinus taeda L. I. Wood Property Traits. Genetics. 175(1). 399–409. 234 indexed citations
16.
Jermstad, K. D., Lorraine Sheppard, Bohun B. Kinloch, et al.. (2006). Isolation of a full-length CC–NBS–LRR resistance gene analog candidate from sugar pine showing low nucleotide diversity. Tree Genetics & Genomes. 2(2). 76–85. 21 indexed citations
17.
González‐Martínez, Santiago C., Elhan S. Ersoz, Garth Brown, Nicholas C. Wheeler, & David B. Neale. (2005). DNA Sequence Variation and Selection of Tag Single-Nucleotide Polymorphisms at Candidate Genes for Drought-Stress Response in Pinus taeda L.. Genetics. 172(3). 1915–1926. 232 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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