Charles Y. Chen

1.7k total citations
55 papers, 1.1k citations indexed

About

Charles Y. Chen is a scholar working on Plant Science, Inorganic Chemistry and Molecular Biology. According to data from OpenAlex, Charles Y. Chen has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Plant Science, 19 papers in Inorganic Chemistry and 11 papers in Molecular Biology. Recurrent topics in Charles Y. Chen's work include Peanut Plant Research Studies (35 papers), Agricultural pest management studies (27 papers) and Coconut Research and Applications (19 papers). Charles Y. Chen is often cited by papers focused on Peanut Plant Research Studies (35 papers), Agricultural pest management studies (27 papers) and Coconut Research and Applications (19 papers). Charles Y. Chen collaborates with scholars based in United States, China and Belgium. Charles Y. Chen's co-authors include Phat Dang, C. Corley Holbrook, Ming Li Wang, Bao‐Hua Song, Larry J. Leamy, C. Y. Ting, Changbao Li, Marshall C. Lamb, Hengyou Zhang and Noelle A. Barkley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Clinical Cancer Research.

In The Last Decade

Charles Y. Chen

52 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Y. Chen United States 19 889 233 222 142 50 55 1.1k
M. V. C. Gowda India 18 1.3k 1.5× 582 2.5× 283 1.3× 109 0.8× 51 1.0× 71 1.4k
Yongqing Jiao China 18 687 0.8× 74 0.3× 380 1.7× 21 0.1× 29 0.6× 39 887
Ashley Jones Australia 14 273 0.3× 23 0.1× 202 0.9× 80 0.6× 25 0.5× 45 542
Yolanda López United States 15 539 0.6× 251 1.1× 161 0.7× 40 0.3× 87 1.7× 42 663
Pasupuleti Janila India 21 1.7k 1.9× 580 2.5× 339 1.5× 170 1.2× 81 1.6× 70 1.8k
Márcio de Carvalho Moretzsohn Brazil 26 2.0k 2.2× 938 4.0× 597 2.7× 105 0.7× 59 1.2× 46 2.1k
А. В. Усатов Russia 14 225 0.3× 17 0.1× 159 0.7× 91 0.6× 31 0.6× 70 533
Zilong Ma China 11 166 0.2× 85 0.4× 170 0.8× 52 0.4× 5 0.1× 17 342
Shenhao Wang China 17 905 1.0× 21 0.1× 574 2.6× 459 3.2× 7 0.1× 27 1.2k
Hélia Cardoso Portugal 18 562 0.6× 8 0.0× 579 2.6× 71 0.5× 22 0.4× 47 835

Countries citing papers authored by Charles Y. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Charles Y. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles Y. Chen. 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 Charles Y. Chen. The network helps show where Charles Y. Chen may publish in the future.

Co-authorship network of co-authors of Charles Y. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Y. Chen. A scholar is included among the top collaborators of Charles Y. Chen 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 Charles Y. Chen. Charles Y. Chen 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.
Sanz‐Sáez, Álvaro, et al.. (2024). Drought-tolerant peanut (Arachis hypogaea L.) varieties can mitigate negative impacts of climate change on yield in the Southeastern U.S.. Computers and Electronics in Agriculture. 224. 109105–109105. 2 indexed citations
2.
Soba, David, et al.. (2024). Peanut photosynthesis response to drought can include diffusive and biochemical limitations depending on cultivar. Physiologia Plantarum. 176(4). e14489–e14489. 3 indexed citations
3.
Zhang, Hui, Lisa L. Dean, Ming Li Wang, et al.. (2023). GWAS with principal component analysis identify QTLs associated with main peanut flavor-related traits. Frontiers in Plant Science. 14. 1204415–1204415. 8 indexed citations
4.
5.
Zhang, Hui, Yan Yu, Mingli Wang, Phat Dang, & Charles Y. Chen. (2023). Effect of Genotype-by-Environment Interaction on Oil and Oleic Fatty Acid Contents of Cultivated Peanuts. Horticulturae. 9(12). 1272–1272. 4 indexed citations
6.
Bao, Yin, Qiong Zhang, Álvaro Sanz‐Sáez, et al.. (2023). Phenotyping agronomic and physiological traits in peanut under mid‐season drought stress using UAV‐based hyperspectral imaging and machine learning. SHILAP Revista de lepidopterología. 6(1). 14 indexed citations
7.
Li, Li, Phat Dang, Xinlei Yang, et al.. (2022). GWAS and bulked segregant analysis reveal the Loci controlling growth habit-related traits in cultivated Peanut (Arachis hypogaea L.). BMC Genomics. 23(1). 403–403. 21 indexed citations
8.
Dang, Phat, Charles Y. Chen, Yucheng Feng, et al.. (2022). Tolerance to mid‐season drought in peanut can be achieved by high water use efficiency or high efficient use of water. Crop Science. 62(5). 1948–1966. 16 indexed citations
9.
Santos, Helena G. Dos, Deukwoo Kwon, Terrence Bradley, et al.. (2021). Clinical Responsiveness to All-trans Retinoic Acid Is Potentiated by LSD1 Inhibition and Associated with a Quiescent Transcriptome in Myeloid Malignancies. Clinical Cancer Research. 27(7). 1893–1903. 32 indexed citations
10.
Dang, Phat, Marshall C. Lamb, & Charles Y. Chen. (2021). Association of differentially expressed R-gene candidates with leaf spot resistance in peanut (Arachis hypogaea L.). Molecular Biology Reports. 48(1). 323–334. 12 indexed citations
11.
Li, Li, Xinlei Yang, Guojun Mu, et al.. (2019). Construction of High-Density Genetic Map and Mapping Quantitative Trait Loci for Growth Habit-Related Traits of Peanut (Arachis hypogaea L.). Frontiers in Plant Science. 10. 745–745. 33 indexed citations
12.
Chen, Charles Y., et al.. (2018). Soybean Resistance to White Mold: Evaluation of Soybean Germplasm Under Different Conditions and Validation of QTL. Frontiers in Plant Science. 9. 505–505. 18 indexed citations
13.
Dang, Phat, Marshall C. Lamb, Kira L. Bowen, & Charles Y. Chen. (2018). Identification of expressed R-genes associated with leaf spot diseases in cultivated peanut. Molecular Biology Reports. 46(1). 225–239. 19 indexed citations
14.
Han, Suoyi, Mei Yuan, Josh Clevenger, et al.. (2018). A SNP-Based Linkage Map Revealed QTLs for Resistance to Early and Late Leaf Spot Diseases in Peanut (Arachis hypogaea L.). Frontiers in Plant Science. 9. 1012–1012. 38 indexed citations
15.
Leamy, Larry J., Hengyou Zhang, Changbao Li, Charles Y. Chen, & Bao‐Hua Song. (2017). A genome-wide association study of seed composition traits in wild soybean (Glycine soja). BMC Genomics. 18(1). 18–18. 90 indexed citations
16.
Liu, Lifeng, Phat Dang, & Charles Y. Chen. (2015). Development and Utilization of InDel Markers to Identify Peanut (Arachis hypogaea) Disease Resistance. Frontiers in Plant Science. 6. 988–988. 18 indexed citations
17.
Chen, Charles Y., et al.. (2013). Heritability and Genetic Relationships for Drought‐Related Traits in Peanut. Crop Science. 53(4). 1392–1402. 11 indexed citations
18.
Duhau, S. & Charles Y. Chen. (2013). THE ORIGIN OF THE GEOMAGNETIC FIELD IN THE SECULAR TIME SCALE. SHILAP Revista de lepidopterología.
19.
Dang, Phat & Charles Y. Chen. (2012). Modified method for combined DNA and RNA isolation from peanut and other oil seeds. Molecular Biology Reports. 40(2). 1563–1568. 14 indexed citations
20.
Wang, Ming Li, Sivakumar Sukumaran, Noelle A. Barkley, et al.. (2011). Population structure and marker–trait association analysis of the US peanut (Arachis hypogaea L.) mini-core collection. Theoretical and Applied Genetics. 123(8). 1307–1317. 75 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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2026