Pingchuan Li

3.6k total citations
30 papers, 1.9k citations indexed

About

Pingchuan Li is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Pingchuan Li has authored 30 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 11 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Pingchuan Li's work include Plant Molecular Biology Research (11 papers), Chromosomal and Genetic Variations (10 papers) and Plant nutrient uptake and metabolism (4 papers). Pingchuan Li is often cited by papers focused on Plant Molecular Biology Research (11 papers), Chromosomal and Genetic Variations (10 papers) and Plant nutrient uptake and metabolism (4 papers). Pingchuan Li collaborates with scholars based in China, Canada and United States. Pingchuan Li's co-authors include Xiaofeng Cao, Frank M. You, Sylvie Cloutier, Chengcai Chu, Xianwei Song, Shouyun Cao, Bin Liu, Xiue Wang, Chunyan Liu and Jin Xiao and has published in prestigious journals such as Blood, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Pingchuan Li

28 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pingchuan Li China 19 1.7k 750 178 95 62 30 1.9k
Lingli Dong China 22 1.2k 0.7× 503 0.7× 262 1.5× 27 0.3× 127 2.0× 39 1.5k
Pingchuan Deng China 15 716 0.4× 481 0.6× 98 0.6× 70 0.7× 29 0.5× 49 942
Kan Nobuta United States 20 1.8k 1.0× 1.2k 1.6× 162 0.9× 80 0.8× 19 0.3× 28 2.2k
Zeyang Ma China 22 949 0.5× 721 1.0× 116 0.7× 37 0.4× 41 0.7× 36 1.2k
Youlin Zhu China 12 792 0.5× 346 0.5× 161 0.9× 43 0.5× 22 0.4× 30 975
Aamir W. Khan India 28 2.1k 1.2× 500 0.7× 449 2.5× 39 0.4× 78 1.3× 48 2.4k
Caroline Hartmann France 21 1.4k 0.8× 765 1.0× 57 0.3× 49 0.5× 73 1.2× 43 1.5k
Gary J. Muehlbauer United States 8 864 0.5× 503 0.7× 163 0.9× 209 2.2× 40 0.6× 8 1.1k
Guangming He China 20 1.7k 1.0× 880 1.2× 739 4.2× 63 0.7× 54 0.9× 38 2.0k

Countries citing papers authored by Pingchuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Pingchuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingchuan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Pingchuan Li. A scholar is included among the top collaborators of Pingchuan Li 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 Pingchuan Li. Pingchuan Li 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.
Li, Pingchuan, et al.. (2025). ESCO2 drives breast cancer proliferation and metastasis through PI3K/AKT/mTOR phosphorylation: A potential therapeutic target. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1872(8). 120043–120043.
2.
You, Frank M., K. Y. Rashid, Chunfang Zheng, et al.. (2022). Insights into the Genetic Architecture and Genomic Prediction of Powdery Mildew Resistance in Flax (Linum usitatissimum L.). International Journal of Molecular Sciences. 23(9). 4960–4960. 12 indexed citations
3.
Yang, Rongxin, Pingchuan Li, Hailiang Mei, et al.. (2019). Fine-Tuning of MiR528 Accumulation Modulates Flowering Time in Rice. Molecular Plant. 12(8). 1103–1113. 70 indexed citations
4.
He, Liqiang, Jin Xiao, K. Y. Rashid, et al.. (2019). Genome-Wide Association Studies for Pasmo Resistance in Flax (Linum usitatissimum L.). Frontiers in Plant Science. 9. 1982–1982. 50 indexed citations
5.
You, Frank M., Jin Xiao, Pingchuan Li, et al.. (2018). Chromosome‐scale pseudomolecules refined by optical, physical and genetic maps in flax. The Plant Journal. 95(2). 371–384. 66 indexed citations
6.
Wu, Jian, Rongxin Yang, Zhirui Yang, et al.. (2017). ROS accumulation and antiviral defence control by microRNA528 in rice. Nature Plants. 3(1). 16203–16203. 225 indexed citations
7.
Li, Pingchuan, Bill Biligetu, Bruce Coulman, Michael P. Schellenberg, & Yong‐Bi Fu. (2017). Genotyping-by-sequencing data of 272 crested wheatgrass ( Agropyron cristatum ) genotypes. Data in Brief. 15. 401–406. 2 indexed citations
8.
Li, Pingchuan, et al.. (2016). RGAugury: a pipeline for genome-wide prediction of resistance gene analogs (RGAs) in plants. BMC Genomics. 17(1). 852–852. 143 indexed citations
9.
Xiao, Jin, Manoj K. Sekhwal, Pingchuan Li, et al.. (2016). Pseudogenes and Their Genome-Wide Prediction in Plants. International Journal of Molecular Sciences. 17(12). 1991–1991. 33 indexed citations
10.
Luo, Ming‐Cheng, Frank M. You, Pingchuan Li, et al.. (2015). Synteny analysis in Rosids with a walnut physical map reveals slow genome evolution in long-lived woody perennials. BMC Genomics. 16(1). 707–707. 52 indexed citations
11.
Li, Pingchuan, et al.. (2013). An Integrated Workflow for DNA Methylation Analysis. Journal of genetics and genomics. 40(5). 249–260. 20 indexed citations
12.
Bandyopadhyay, Keya, Pingchuan Li, & Ruth A. Gjerset. (2013). The p14ARF Alternate Reading Frame Protein Enhances DNA Binding of Topoisomerase I by Interacting with the Serine 506-Phosphorylated Core Domain. PLoS ONE. 8(3). e58835–e58835. 3 indexed citations
13.
Bandyopadhyay, Keya, Pingchuan Li, & Ruth A. Gjerset. (2012). CK2-Mediated Hyperphosphorylation of Topoisomerase I Targets Serine 506, Enhances Topoisomerase I–DNA Binding, and Increases Cellular Camptothecin Sensitivity. PLoS ONE. 7(11). e50427–e50427. 20 indexed citations
14.
Song, Xianwei, Dekai Wang, Lijia Ma, et al.. (2012). Rice RNA‐dependent RNA polymerase 6 acts in small RNA biogenesis and spikelet development. The Plant Journal. 71(3). 378–389. 89 indexed citations
15.
Song, Xianwei, Pingchuan Li, Jixian Zhai, et al.. (2011). Roles of DCL4 and DCL3b in rice phased small RNA biogenesis. The Plant Journal. 69(3). 462–474. 253 indexed citations
16.
Li, Pingchuan, et al.. (2010). Use of Adenoviral Vectors to Target Chemotherapy to Tumor Vascular Endothelial Cells Suppresses Growth of Breast Cancer and Melanoma. Molecular Therapy. 18(5). 921–928. 6 indexed citations
17.
Zhai, Jixian, Jun Liu, Bin Liu, et al.. (2008). Small RNA-Directed Epigenetic Natural Variation in Arabidopsis thaliana. PLoS Genetics. 4(4). e1000056–e1000056. 85 indexed citations
18.
Wang, Yanwei, Pingchuan Li, Xiaofeng Cao, et al.. (2008). Identification and expression analysis of miRNAs from nitrogen-fixing soybean nodules. Biochemical and Biophysical Research Communications. 378(4). 799–803. 112 indexed citations
19.
Zhang, Hongyu, Hai Peng, Pingchuan Li, et al.. (2008). The microarray analysis for gene expression in haploids and diploids derived from twin-seedling rice. Science in China Series C Life Sciences. 51(6). 503–512. 6 indexed citations
20.

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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