Ye Chu

5.3k total citations
106 papers, 2.2k citations indexed

About

Ye Chu is a scholar working on Plant Science, Inorganic Chemistry and Molecular Biology. According to data from OpenAlex, Ye Chu has authored 106 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Plant Science, 47 papers in Inorganic Chemistry and 24 papers in Molecular Biology. Recurrent topics in Ye Chu's work include Peanut Plant Research Studies (79 papers), Agricultural pest management studies (52 papers) and Coconut Research and Applications (47 papers). Ye Chu is often cited by papers focused on Peanut Plant Research Studies (79 papers), Agricultural pest management studies (52 papers) and Coconut Research and Applications (47 papers). Ye Chu collaborates with scholars based in United States, China and Brazil. Ye Chu's co-authors include Peggy Ozias‐Akins, C. Corley Holbrook, Josh Clevenger, T. G. Isleib, Brian E. Scheffler, A. K. Culbreath, David J. Bertioli, Patricia Timper, Barry L. Tillman and Scott A. Jackson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Ye Chu

96 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ye Chu United States	27	1.9k	767	621	131	99	106	2.2k
Aymeric Goyer United States	23	762 0.4×	43 0.1×	676 1.1×	40 0.3×	114 1.2×	41	1.4k
Jiajie Wu China	25	1.3k 0.7×	5 0.0×	725 1.2×	211 1.6×	48 0.5×	69	1.7k
María Isabel Rodríguez‐García Spain	26	885 0.5×	8 0.0×	1.2k 1.9×	51 0.4×	50 0.5×	84	1.7k
Nina Sipari Finland	17	1.3k 0.7×	20 0.0×	871 1.4×	26 0.2×	29 0.3×	38	1.6k
Shiqiang Liu China	21	970 0.5×	9 0.0×	825 1.3×	201 1.5×	85 0.9×	65	1.4k
Maxim Itkin Israel	20	769 0.4×	13 0.0×	963 1.6×	108 0.8×	40 0.4×	44	1.6k
Heiko Weichert Germany	19	942 0.5×	5 0.0×	543 0.9×	41 0.3×	38 0.4×	27	1.4k
José Hélio Costa Brazil	23	1.2k 0.6×	10 0.0×	729 1.2×	30 0.2×	35 0.4×	73	1.5k
Xiaoming He China	17	671 0.4×	12 0.0×	422 0.7×	401 3.1×	29 0.3×	36	1.1k
Yuanlei Hu China	21	1.2k 0.6×	6 0.0×	961 1.5×	49 0.4×	22 0.2×	46	1.6k

Countries citing papers authored by Ye Chu

Since Specialization

Citations

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

Fields of papers citing papers by Ye Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Chu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fan, Mengmeng, Ye Chu, Youli Zheng, Zheng Zhang, & Min Hou. (2025). Association of Pregnancy Diet with Metabolic Adverse Outcomes in Pregnant Women and Their Children: A Systematic Review and Meta-Analysis. Annals of Nutrition and Metabolism. 81(3). 123–140. 2 indexed citations

Borghi, Monica, Lisa W. DeVetter, Patrick P. Edger, et al.. (2025). Enhancing entomophilous pollination for sustainable crop production. The Plant Journal. 122(4). e70234–e70234.

Brenneman, T. B., et al.. (2024). The Identification of the Peanut Wild Relative Arachis stenosperma as a Source of Resistance to Stem Rot and Analyses of Genomic Regions Conferring Disease Resistance through QTL Mapping. Agronomy. 14(7). 1442–1442. 2 indexed citations

Gangurde, Sunil S., Ethan Thompson, Yaduru Shasidhar, et al.. (2024). Linkage Mapping and Genome-Wide Association Study Identified Two Peanut Late Leaf Spot Resistance Loci, PLLSR-1 and PLLSR-2, Using Nested Association Mapping. Phytopathology. 114(6). 1346–1355. 2 indexed citations

Wang, Feifei, Xiaohui Hu, Chunjuan Li, et al.. (2024). Identification of a major QTL underlying sugar content in peanut kernels based on the RIL mapping population. Frontiers in Plant Science. 15. 1423586–1423586. 3 indexed citations

Wallace, Jason G., C. Corley Holbrook, T. G. Isleib, et al.. (2024). Genomic Selection as an Approach to Select for Reduced Aflatoxin Contamination in Peanut Under Terminal Drought Stress. Peanut Science. 51(1). 18–31.

Chu, Ye, et al.. (2023). Identification of QTLs for plant height and branching-related traits in cultivated peanut. Journal of Integrative Agriculture. 24(7). 2511–2524. 2 indexed citations

Chu, Ye, C. Corley Holbrook, Daniel Foncéka, et al.. (2023). High-Throughput Canopy and Belowground Phenotyping of a Set of Peanut CSSLs Detects Lines with Increased Pod Weight and Foliar Disease Tolerance. Agronomy. 13(5). 1223–1223. 4 indexed citations

Wang, Feifei, Ye Chu, F.Z. Cui, et al.. (2023). Comparative transcriptome profiling of dormancy regulatory network in peanut. ACTA AGRONOMICA SINICA. 49(9). 2446–2461.

10.

Levy, Yael, et al.. (2022). A first insight into the genetics of maturity trait in Runner × Virginia types peanut background. Scientific Reports. 12(1). 15267–15267. 3 indexed citations

11.

Chamberlin, Kelly D., Peggy Ozias‐Akins, Ye Chu, et al.. (2020). Genotypic Characterization of the U.S. Peanut Core Collection. G3 Genes Genomes Genetics. 10(11). 4013–4026. 22 indexed citations

12.

Chavarro, Carolina, Ye Chu, C. Corley Holbrook, et al.. (2020). Pod and Seed Trait QTL Identification To Assist Breeding for Peanut Market Preferences. G3 Genes Genomes Genetics. 10(7). 2297–2315. 29 indexed citations

13.

Peng, Ze, Zifan Zhao, Josh Clevenger, et al.. (2020). Comparison of SNP Calling Pipelines and NGS Platforms to Predict the Genomic Regions Harboring Candidate Genes for Nodulation in Cultivated Peanut. Frontiers in Genetics. 11. 222–222. 6 indexed citations

14.

Levy, Yael, et al.. (2018). Genetic insight and mapping of the pod constriction trait in Virginia-type peanut. BMC Genetics. 19(1). 93–93. 13 indexed citations

15.

Clevenger, Josh, Ye Chu, Carolina Chavarro, et al.. (2016). Genome-wide SNP Genotyping Resolves Signatures of Selection and Tetrasomic Recombination in Peanut. Molecular Plant. 10(2). 309–322. 106 indexed citations

16.

Clevenger, Josh, Ye Chu, Brian E. Scheffler, & Peggy Ozias‐Akins. (2016). A Developmental Transcriptome Map for Allotetraploid Arachis hypogaea. Frontiers in Plant Science. 7. 1446–1446. 166 indexed citations

17.

Chu, Ye. (2013). Study on the Function,Construction and Management of Lake Buffer Zones. The Research of Environmental Sciences. 1 indexed citations

18.

Chu, Ye. (2012). Research progress of salt tolerance in mulberry. 1 indexed citations

19.

Chu, Ye, et al.. (2003). Expression of P2X6, a Purinergic Receptor Subunit, Is Affected by Dietary Zinc Deficiency in Rat Hippocampus. Biological Trace Element Research. 91(1). 77–88. 12 indexed citations

20.

Keller, Karen A., Julie A. Coffield, Ye Chu, & Arthur Grider. (2000). Supplementation with L-Histidine during Dietary Zinc Repletion Improves Short-Term Memory in Zinc-Restricted Young Adult Male Rats. Journal of Nutrition. 130(6). 1633–1640. 35 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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