Pengyin Chen

6.5k total citations
193 papers, 4.2k citations indexed

About

Pengyin Chen is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Pengyin Chen has authored 193 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Plant Science, 20 papers in Molecular Biology and 20 papers in Agronomy and Crop Science. Recurrent topics in Pengyin Chen's work include Soybean genetics and cultivation (129 papers), Legume Nitrogen Fixing Symbiosis (87 papers) and Plant pathogens and resistance mechanisms (28 papers). Pengyin Chen is often cited by papers focused on Soybean genetics and cultivation (129 papers), Legume Nitrogen Fixing Symbiosis (87 papers) and Plant pathogens and resistance mechanisms (28 papers). Pengyin Chen collaborates with scholars based in United States, China and Switzerland. Pengyin Chen's co-authors include Navam Hettiarachchy, Ronny Horax, Henry T. Nguyen, Ainong Shi, Heng Ye, Thomas R. Sinclair, G. R. Buss, Leandro Mozzoni, Tri D. Vuong and Bo Zhang and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Pengyin Chen

187 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengyin Chen United States 37 3.3k 622 394 319 317 193 4.2k
J. Grover Shannon United States 44 4.6k 1.4× 491 0.8× 125 0.3× 409 1.3× 138 0.4× 147 5.0k
Gyuhwa Chung South Korea 30 2.4k 0.7× 1.1k 1.7× 211 0.5× 375 1.2× 137 0.4× 118 3.3k
Agnelo Furtado Australia 33 2.3k 0.7× 1.3k 2.1× 233 0.6× 577 1.8× 191 0.6× 125 3.4k
Qiang Liu China 32 990 0.3× 495 0.8× 427 1.1× 341 1.1× 434 1.4× 203 3.2k
Istvan Rajcan Canada 34 3.7k 1.1× 576 0.9× 154 0.4× 790 2.5× 157 0.5× 128 4.1k
Albert Vandenberg Canada 45 5.4k 1.6× 779 1.3× 977 2.5× 285 0.9× 1.0k 3.3× 275 6.7k
Dan Wang China 34 2.8k 0.8× 1.3k 2.0× 241 0.6× 166 0.5× 103 0.3× 217 4.1k
C. Leonardi Italy 32 2.3k 0.7× 383 0.6× 283 0.7× 418 1.3× 191 0.6× 132 4.0k

Countries citing papers authored by Pengyin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Pengyin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengyin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Pengyin Chen. A scholar is included among the top collaborators of Pengyin 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 Pengyin Chen. Pengyin 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.
Chang, Sam K. C., et al.. (2024). Relationships between protein and other chemical composition and texture of tofu made from soybeans grown in different locations. Journal of Food Science. 89(3). 1428–1441. 1 indexed citations
2.
Chen, Pengyin, Grover Shannon, Caio Canella Vieira, et al.. (2024). Registration of ‘S16‐16641R’: A glyphosate‐tolerant, high‐oleic soybean cultivar with multiple disease resistance. Journal of Plant Registrations. 18(1). 78–88.
3.
Wang, Zhibo, Dajun Yu, Gota Morota, et al.. (2023). Genome-wide association analysis of sucrose and alanine contents in edamame beans. Frontiers in Plant Science. 13. 1086007–1086007. 9 indexed citations
4.
Lin, Feng, Sushil Satish Chhapekar, Caio Canella Vieira, et al.. (2022). Breeding for disease resistance in soybean: a global perspective. Theoretical and Applied Genetics. 135(11). 3773–3872. 88 indexed citations
5.
Zhou, Jing, Jianfeng Zhou, Heng Ye, et al.. (2020). Classification of soybean leaf wilting due to drought stress using UAV-based imagery. Computers and Electronics in Agriculture. 175. 105576–105576. 86 indexed citations
7.
Tuyen, D., Tri D. Vuong, David Dunn, et al.. (2019). Identification of new loci for salt tolerance in soybean by high-resolution genome-wide association mapping. Default journal.
8.
Li, Shuxian, G. L. Sciumbato, Debbie Boykin, Grover Shannon, & Pengyin Chen. (2019). Evaluation of soybean genotypes for reaction to natural field infection by Cercospora species causing purple seed stain. PLoS ONE. 14(10). e0222673–e0222673. 12 indexed citations
9.
Tuyen, D., Tri D. Vuong, David Dunn, et al.. (2018). Mapping and confirmation of loci for salt tolerance in a novel soybean germplasm, Fiskeby III. Default journal. 513–524. 2 indexed citations
10.
Ye, Heng, Manish Roorkiwal, Babu Valliyodan, et al.. (2018). Genetic diversity of root system architecture in response to drought stress in grain legumes. Journal of Experimental Botany. 69(13). 3267–3277. 120 indexed citations
11.
Popp, Michael P., et al.. (2018). Information and order of information effects on consumers’ acceptance and valuation for genetically modified edamame soybean. PLoS ONE. 13(10). e0206300–e0206300. 16 indexed citations
12.
Patil, Gunvant, Rouf Mian, Tri D. Vuong, et al.. (2017). Molecular mapping and genomics of soybean seed protein: a review and perspective for the future. Theoretical and Applied Genetics. 130(10). 1975–1991. 160 indexed citations
13.
Tuyen, D., Tri D. Vuong, David Dunn, et al.. (2017). Mapping and confirmation of loci for salt tolerance in a novel soybean germplasm, Fiskeby III. Theoretical and Applied Genetics. 131(3). 513–524. 48 indexed citations
14.
Ravelombola, Waltram, Ainong Shi, Yuejin Weng, et al.. (2017). Evaluation of Salt Tolerance at Germination Stage in Cowpea [Vigna unguiculata (L.) Walp]. HortScience. 52(9). 1168–1176. 21 indexed citations
15.
Shi, Ainong, Beiquan Mou, Michael R. Evans, et al.. (2016). Population Structure and Association Analysis of Bolting, Plant Height, and Leaf Erectness in Spinach. HortScience. 51(5). 481–486. 28 indexed citations
16.
O’Bryan, Corliss A., et al.. (2014). Soybean Seed Coats: A Source of Ingredients for Potential Human Health Benefits-A Review of the Literature. Journal of Food Research. 3(6). 188–188. 7 indexed citations
17.
Eswaranandam, Satchithanandam, et al.. (2012). Effect of Elicitor Spray at Different Reproductive Stages on Saponin Content of Soybean. Journal of Food Science. 77(2). H81–6. 9 indexed citations
18.
Shi, Ainong, et al.. (2011). Molecular Markers for Tm-2 Alleles of Tomato Mosaic Virus Resistance in Tomato. American Journal of Plant Sciences. 2(2). 180–189. 18 indexed citations
19.
Shi, Ainong, et al.. (2010). Development of single nucleotide polymorphism (SNP) markers for selection of Ve gene of tomato Verticilliumwilt resistance. 1(2). 34–42. 1 indexed citations
20.
Buss, G. R., Pengyin Chen, C. W. Roane, & S. A. Tolin. (1987). Research Notes : United States : Genetics of reaction to soybean mosaic virus (SMV) in cultivars exhibiting differential reaction to SMV strains.. Iowa State University Digital Repository (Iowa State University). 14(1). 61. 3 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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