Kent M. Eskridge

9.6k total citations · 1 hit paper
268 papers, 7.3k citations indexed

About

Kent M. Eskridge is a scholar working on Plant Science, Agronomy and Crop Science and Ecology. According to data from OpenAlex, Kent M. Eskridge has authored 268 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Plant Science, 57 papers in Agronomy and Crop Science and 34 papers in Ecology. Recurrent topics in Kent M. Eskridge's work include Genetics and Plant Breeding (48 papers), Wheat and Barley Genetics and Pathology (38 papers) and Genetic Mapping and Diversity in Plants and Animals (25 papers). Kent M. Eskridge is often cited by papers focused on Genetics and Plant Breeding (48 papers), Wheat and Barley Genetics and Pathology (38 papers) and Genetic Mapping and Diversity in Plants and Animals (25 papers). Kent M. Eskridge collaborates with scholars based in United States, Mexico and Greece. Kent M. Eskridge's co-authors include Patricio Grassini, Kenneth G. Cassman, P. Stephen Baenziger, Milford A. Hanna, Chris R. Calkins, Ismail Dweikat, Wendy J. Umberger, Dillon M. Feuz, Stamatis Stamatiadis and José Crossa and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Kent M. Eskridge

259 papers receiving 6.8k citations

Hit Papers

Distinguishing between yield advances and yield plateaus ... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kent M. Eskridge United States 44 3.3k 1.4k 955 751 662 268 7.3k
Arnold M. Saxton United States 49 3.0k 0.9× 1.9k 1.4× 1.3k 1.4× 1.3k 1.8× 494 0.7× 296 9.0k
Carlo Leifert United Kingdom 44 3.8k 1.2× 960 0.7× 378 0.4× 1.5k 2.0× 1.1k 1.6× 235 7.8k
R. W. Payne United Kingdom 22 2.4k 0.7× 743 0.5× 457 0.5× 1.1k 1.5× 751 1.1× 69 6.1k
Michael Blümmel India 30 1.8k 0.6× 3.3k 2.4× 641 0.7× 403 0.5× 903 1.4× 146 6.1k
Paulo Roberto Cecon Brazil 35 3.6k 1.1× 2.6k 1.9× 821 0.9× 540 0.7× 596 0.9× 705 8.2k
Md. Rafiqul Islam Bangladesh 47 4.0k 1.2× 724 0.5× 1.2k 1.2× 695 0.9× 225 0.3× 427 9.9k
Chengdao Li Australia 47 5.6k 1.7× 1.5k 1.1× 2.6k 2.7× 1.8k 2.4× 611 0.9× 275 9.0k
A.T. Adesogan United States 48 1.6k 0.5× 4.7k 3.5× 738 0.8× 653 0.9× 980 1.5× 197 7.1k
Michael K. Theodorou United Kingdom 46 1.6k 0.5× 4.3k 3.2× 664 0.7× 1.5k 2.1× 531 0.8× 163 7.5k
Muhammad Afzal Pakistan 36 2.4k 0.7× 614 0.5× 277 0.3× 1.0k 1.3× 400 0.6× 513 6.4k

Countries citing papers authored by Kent M. Eskridge

Since Specialization
Citations

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

Fields of papers citing papers by Kent M. Eskridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kent M. Eskridge. 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 Kent M. Eskridge. The network helps show where Kent M. Eskridge may publish in the future.

Co-authorship network of co-authors of Kent M. Eskridge

This figure shows the co-authorship network connecting the top 25 collaborators of Kent M. Eskridge. A scholar is included among the top collaborators of Kent M. Eskridge 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 Kent M. Eskridge. Kent M. Eskridge 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.
Eskridge, Kent M., et al.. (2024). Mild heating and ambient storage following gaseous chlorine dioxide treatment of chia seeds enhanced inactivation of Salmonella spp.. Food Control. 164. 110560–110560. 1 indexed citations
3.
Miller, Daniel N., Lisa M. Durso, Xu Li, et al.. (2024). Beef cattle feedlot runoff impacts on soil antimicrobial resistance. Agrosystems Geosciences & Environment. 7(2). 1 indexed citations
4.
Schmer, Marty R., et al.. (2023). Near-Term Effects of Perennial Grasses on Soil Carbon and Nitrogen in Eastern Nebraska. Environments. 10(5). 80–80. 1 indexed citations
5.
Jochua, Celestina Nhagupana, et al.. (2021). Root and crown rot pathogens found on dry beans grown in Mozambique. Tropical Plant Pathology. 46(3). 294–310. 2 indexed citations
6.
Hidalgo‐Contreras, Juan Valente, Josafhat Salinas‐Ruíz, Kent M. Eskridge, & P. Stephen Baenziger. (2021). Incorporating Molecular Markers and Causal Structure among Traits Using a Smith-Hazel Index and Structural Equation Models. Agronomy. 11(10). 1953–1953. 2 indexed citations
7.
Montesinos‐López, Abelardo, Osval A. Montesinos‐López, José Crossa, et al.. (2016). Genomic Bayesian Prediction Model for Count Data with Genotype × Environment Interaction. G3 Genes Genomes Genetics. 6(5). 1165–1177. 22 indexed citations
8.
Gill, Diane L., et al.. (2016). Examining the Reliability, Validity and Factor Structure of the DRS-15 with College Athletes. SHILAP Revista de lepidopterología. 5 indexed citations
9.
Grassini, Patricio, Kent M. Eskridge, & Kenneth G. Cassman. (2013). Distinguishing between yield advances and yield plateaus in historical crop production trends. Nature Communications. 4(1). 2918–2918. 596 indexed citations breakdown →
10.
Mi, Xiaojuan, Kent M. Eskridge, Dong Wang, et al.. (2010). Regression-Based Multi-Trait QTL Mapping Using a Structural Equation Model. Statistical Applications in Genetics and Molecular Biology. 9(1). Article38–Article38. 12 indexed citations
11.
Shah, Syed Haider Ali, et al.. (2009). NONPARAMETRIC METHODS IN COMBINED HETEROSCEDASTIC EXPERIMENTS FOR ASSESSING STABILITY OF WHEAT GENOTYPES IN PAKISTAN. Pakistan Journal of Botany. 41(2). 711–730. 7 indexed citations
12.
Eskridge, Kent M., et al.. (2005). A Model Search Engine Based on Cluster Analysis of User Search Terms. Library philosophy and practice. 7(2). 7 indexed citations
13.
Killinger, Karen, Chris R. Calkins, Wendy J. Umberger, Dillon M. Feuz, & Kent M. Eskridge. (2004). Consumer visual preference and value for beef steaks differing in marbling level and color1. Journal of Animal Science. 82(11). 3288–3293. 99 indexed citations
14.
Ariyarathne, H.M., Dermot P. Coyne, Anne K. Vidaver, & Kent M. Eskridge. (1998). Selecting for Common Bacterial Blight Resistance in Common Bean: Effects of Multiple Leaf Inoculation and Detached Pod Inoculation Test. Journal of the American Society for Horticultural Science. 123(5). 864–867. 5 indexed citations
15.
Bagayoko, M., et al.. (1996). Pearl millet/cowpea cropping system yields and soil nutrient levels. African Crop Science Journal. 4(4). 453–462. 14 indexed citations
17.
Stanek, Kaye L., et al.. (1994). Comparability of four methods for estimating portion sizes during a food frequency interview with caregivers of young children. Journal of the American Dietetic Association. 94(5). 548–551. 13 indexed citations
18.
Johnson, Ron J., et al.. (1991). LINES TO SELECTIVELY REPEL HOUSE SPARROWS FROM BACKYARD FEEDERS. Insecta mundi. 82(24). 282–3. 1 indexed citations
19.
Johnson, Ron J., et al.. (1990). The status of lines in bird damage control--a review.. Insecta mundi. 14(14). 317–324. 18 indexed citations
20.
Coyne, Dermot P., et al.. (1989). Transmission of the Common Blight Pathogen in Bean Seed. Journal of the American Society for Horticultural Science. 114(6). 1002–1008. 14 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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