Pengyin Chen

6.5k citations
193 papers · 4.2k indexed · h-index 37

Pengyin Chen

187 papers receiving 4.1k citations

Peers

Pengyin Chen
Comparison fields: 5 of 119
  • Plant Science 3.3k
  • Agronomy and Crop Science 303
  • Food Science 394
  • Nutrition and Dietetics 317
  • Biochemistry 108
Replace Michael K. Deyholos with:
Michael K. Deyholos Canada
Gyuhwa Chung South Korea
Tatsuhito Fujimura Japan
Sneh L. Singla‐Pareek India
H. Grausgruber Austria
Agnelo Furtado Australia
Xia Li China
Fang Liu China
Pengyin Chen relative to Michael K. Deyholos Canada Michael K. Deyholos's profile →
Citations per field
00.5×1.5×2.0×
Michael K. Deyholos · 1×
Citations per year

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

The 25 scholars most cited alongside Pengyin Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pengyin Chen Line = papers co-authored together Pengyin Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20239
4 202288
5 202086
6 201912
7
Identification of new loci for salt tolerance in soybean by high-resolution genome-wide association mapping
20190
8 201912
9
Mapping and confirmation of loci for salt tolerance in a novel soybean germplasm, Fiskeby III
20182
10 2018120
11 201816
12 2017160
13 201748
14 201721
15 201628
16 20147
17 20129
18 201118
19
Development of single nucleotide polymorphism (SNP) markers for selection of Ve gene of tomato Verticilliumwilt resistance
20101
20
Research Notes : United States : Genetics of reaction to soybean mosaic virus (SMV) in cultivars exhibiting differential reaction to SMV strains.
19873

About Pengyin Chen

Pengyin Chen is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science, having authored 193 papers that have together received 4.2k indexed citations. Recurring topics across this work include Soybean genetics and cultivation (129 papers), Legume Nitrogen Fixing Symbiosis (87 papers), Plant pathogens and resistance mechanisms (28 papers), Plant Virus Research Studies (24 papers), Agronomic Practices and Intercropping Systems (19 papers), Nematode management and characterization studies (17 papers), Phytoestrogen effects and research (15 papers) and Plant responses to water stress (12 papers). The work is most often cited by research in Plant Science (3.3k citations), Agronomy and Crop Science (303 citations) and Food Science (394 citations). Pengyin Chen has collaborated with scholars based in United States, China and Switzerland. Frequent 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. Their work appears in journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Food Chemistry.

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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