Qingshan Chen

2.7k total citations
144 papers, 1.7k citations indexed

About

Qingshan Chen is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Qingshan Chen has authored 144 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Plant Science, 29 papers in Molecular Biology and 17 papers in Genetics. Recurrent topics in Qingshan Chen's work include Soybean genetics and cultivation (90 papers), Legume Nitrogen Fixing Symbiosis (66 papers) and Plant pathogens and resistance mechanisms (28 papers). Qingshan Chen is often cited by papers focused on Soybean genetics and cultivation (90 papers), Legume Nitrogen Fixing Symbiosis (66 papers) and Plant pathogens and resistance mechanisms (28 papers). Qingshan Chen collaborates with scholars based in China, United States and France. Qingshan Chen's co-authors include Zhaoming Qi, Dawei Xin, Hongwei� Jiang, Guo‐Hua Hu, Chunyan Liu, Chunyan Liu, Xue Han, Rongsheng Zhu, Hongwei Jiang and Qiong Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Qingshan Chen

133 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingshan Chen China 21 1.5k 332 266 119 59 144 1.7k
Zhaoming Qi China 19 988 0.7× 205 0.6× 213 0.8× 49 0.4× 56 0.9× 74 1.1k
Junyi Gai China 26 1.6k 1.0× 854 2.6× 120 0.5× 96 0.8× 40 0.7× 132 1.8k
Hengyou Zhang China 22 1.4k 1.0× 249 0.8× 176 0.7× 83 0.7× 86 1.5× 54 1.6k
Satish K. Guttikonda United States 12 1.1k 0.7× 545 1.6× 92 0.3× 81 0.7× 19 0.3× 12 1.3k
Angelika Czedik‐Eysenberg Germany 6 996 0.7× 472 1.4× 476 1.8× 63 0.5× 29 0.5× 8 1.3k
Zan Wang China 20 632 0.4× 368 1.1× 165 0.6× 116 1.0× 10 0.2× 74 1.0k
Shuli Fan China 29 1.6k 1.1× 952 2.9× 84 0.3× 51 0.4× 22 0.4× 70 2.0k
Zongliang Chen United States 20 1.0k 0.7× 779 2.3× 366 1.4× 66 0.6× 15 0.3× 30 1.4k
Hu Zhao China 24 1.6k 1.1× 797 2.4× 760 2.9× 78 0.7× 192 3.3× 60 2.0k

Countries citing papers authored by Qingshan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Qingshan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingshan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Qingshan Chen. A scholar is included among the top collaborators of Qingshan 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 Qingshan Chen. Qingshan 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.
Xu, Wenxiang, Xinyuan Li, Wei Guan, et al.. (2025). New triterpenoid saponins isolated from the leaves of Astragalus membranaceus (Fisch.) Bge. and their neuroprotective effects. Bioorganic Chemistry. 156. 108149–108149. 3 indexed citations
2.
Liu, Yan, Yan Sun, Juan Pan, et al.. (2025). Chromones from Saposhnikovia divaricata and their inhibition of IL-1β-induced proliferative activity in SW982 cells. Phytochemistry. 233. 114408–114408. 1 indexed citations
3.
Shi, Guoxin, Heng Li, Tianxiao Li, et al.. (2024). Effects of biochar and compost on the abundant and rare microbial communities assembly and multifunctionality in pesticide-contaminated soil under freeze‒thaw cycles. Environmental Pollution. 362. 125003–125003. 5 indexed citations
4.
Wu, Jia‐Tong, Zhichao Hao, Juan Pan, et al.. (2024). Seven new triterpenoids from the roots of Adenophora tetraphylla (Thub.) Fisch. Fitoterapia. 175. 105902–105902. 2 indexed citations
6.
Li, Fuxin, Lanxin Li, Chunyan Liu, et al.. (2024). QTL Mapping and Data Mining to Identify Genes Associated with Soybean Epicotyl Length Using Cultivated Soybean and Wild Soybean. International Journal of Molecular Sciences. 25(6). 3296–3296. 1 indexed citations
7.
Guo, Yixin, Jiarui Niu, Li Liu, et al.. (2024). An Efficient and Low-Cost Deep Learning-Based Method for Counting and Sizing Soybean Nodules. Agronomy. 14(9). 2041–2041. 1 indexed citations
8.
9.
Ma, Chao, Jinhui Wang, Xiaoxia Wu, et al.. (2024). The type III effector NopL interacts with GmREM1a and GmNFR5 to promote symbiosis in soybean. Nature Communications. 15(1). 5852–5852. 8 indexed citations
11.
Shi, Guoxin, Renjie Hou, Qiang Fu, Tianxiao Li, & Qingshan Chen. (2024). Effects of biochar and compost on microbial community assembly and metabolic processes in glyphosate, imidacloprid and pyraclostrobin polluted soil under freeze thaw cycles. Journal of Hazardous Materials. 471. 134397–134397. 15 indexed citations
12.
Han, Xue, Jun Li, Dezhi Han, et al.. (2024). Oceanobacillus picturae alleviates cadmium stress and promotes growth in soybean seedlings. Journal of Hazardous Materials. 472. 134568–134568. 7 indexed citations
13.
Wang, Jinhui, et al.. (2024). Identifications of Seed Vigor-Related QTLs and Candidate Genes Combined Cultivated Soybean with Wild Soybean. Agronomy. 14(2). 332–332. 3 indexed citations
14.
Qi, Zhaoming, Chaocheng Guo, Haiyang Li, et al.. (2023). Natural variation in Fatty Acid 9 is a determinant of fatty acid and protein content. Plant Biotechnology Journal. 22(3). 759–773. 21 indexed citations
15.
Yong, Bin, Weiwei Zhu, Siming Wei, et al.. (2023). Parallel selection of loss‐of‐function alleles of Pdh1 orthologous genes in warm‐season legumes for pod indehiscence and plasticity is related to precipitation. New Phytologist. 240(2). 863–879. 11 indexed citations
16.
Huang, Minghui, Ye Jiang, Qingshan Chen, et al.. (2021). Response of soybean genotypes from Northeast China to Heterodera glycines races 4 and 5, and characterisation of rhg1 and Rhg4 genes for soybean resistance. Nematology. 24(3). 333–345. 5 indexed citations
17.
Li, Yanfei, Yinghui Li, Jochen C. Reif, et al.. (2021). SoySNP618K array: A high‐resolution single nucleotide polymorphism platform as a valuable genomic resource for soybean genetics and breeding. Journal of Integrative Plant Biology. 64(3). 632–648. 11 indexed citations
18.
Cheng, Zhiyuan, Xiaomei Zhang, Chengming Fan, et al.. (2020). Spatial Divergence of PHR-PHT1 Modules Maintains Phosphorus Homeostasis in Soybean Nodules. PLANT PHYSIOLOGY. 184(1). 236–250. 52 indexed citations
19.
Zhang, Zhanguo, Xue Han, Xinyu Wang, et al.. (2019). Analysis of miRNAs Targeted Storage Regulatory Genes during Soybean Seed Development Based on Transcriptome Sequencing. Genes. 10(6). 408–408. 15 indexed citations
20.
Qi, Zhaoming, Xue Han, Dawei Xin, et al.. (2014). QTL analysis of soybean oil content under 17 environments. BioOne Complete (BioOne). 4 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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