Jinping Si

1.9k total citations · 1 hit paper
104 papers, 1.3k citations indexed

About

Jinping Si is a scholar working on Plant Science, Pharmacology and Molecular Biology. According to data from OpenAlex, Jinping Si has authored 104 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Plant Science, 43 papers in Pharmacology and 35 papers in Molecular Biology. Recurrent topics in Jinping Si's work include Biological and pharmacological studies of plants (36 papers), Phytochemistry and Biological Activities (15 papers) and Plant and animal studies (13 papers). Jinping Si is often cited by papers focused on Biological and pharmacological studies of plants (36 papers), Phytochemistry and Biological Activities (15 papers) and Plant and animal studies (13 papers). Jinping Si collaborates with scholars based in China, Nepal and Australia. Jinping Si's co-authors include Jingjing Liu, Lingshang Wu, Zhigang Han, Donghong Chen, Shihua Wu, Cong Li, Cong Li, Xueliang Chen, Xiang Cai and Xinfeng Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Food Chemistry.

In The Last Decade

Jinping Si

98 papers receiving 1.3k citations

Hit Papers

Jasmonate Signaling Pathway Modulates Plant Defense, Grow... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinping Si China 20 768 557 388 161 139 104 1.3k
Fang‐Hua Chu Taiwan 24 661 0.9× 829 1.5× 450 1.2× 88 0.5× 106 0.8× 96 1.7k
Jian‐Wen Tan China 20 712 0.9× 666 1.2× 282 0.7× 69 0.4× 79 0.6× 59 1.3k
Qi Tang China 24 584 0.8× 864 1.6× 278 0.7× 58 0.4× 92 0.7× 81 1.6k
Normah Mohd Noor Malaysia 22 901 1.2× 815 1.5× 153 0.4× 117 0.7× 116 0.8× 91 1.6k
Baozhong Duan China 16 371 0.5× 613 1.1× 152 0.4× 140 0.9× 58 0.4× 74 1.0k
Tessa Moses United Kingdom 16 531 0.7× 1.5k 2.7× 291 0.8× 81 0.5× 140 1.0× 32 2.0k
Nongporn Hutadilok‐Towatana Thailand 22 427 0.6× 419 0.8× 298 0.8× 40 0.2× 144 1.0× 41 1.2k
Zhong‐Yu Zhou China 20 473 0.6× 562 1.0× 372 1.0× 52 0.3× 119 0.9× 79 1.3k
Qi Tan China 20 562 0.7× 466 0.8× 794 2.0× 75 0.5× 86 0.6× 91 1.2k
Dinesh Chandra Agrawal Taiwan 19 535 0.7× 566 1.0× 127 0.3× 84 0.5× 82 0.6× 76 965

Countries citing papers authored by Jinping Si

Since Specialization
Citations

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

Fields of papers citing papers by Jinping Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinping Si

This figure shows the co-authorship network connecting the top 25 collaborators of Jinping Si. A scholar is included among the top collaborators of Jinping Si 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 Jinping Si. Jinping Si 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.
Huang, Chih‐Yang, Xingyu Mei, Huan Cheng, et al.. (2025). Fructo-oligosaccharides and water-soluble carbohydrates in different species and parts (rhizome, root, leaf, stem, fruit) of Polygonatum Mill.. Food Bioscience. 68. 106207–106207.
2.
Wang, S.S., Yongxin Li, Gang Chen, et al.. (2025). Effect of Polygonatum cyrtonema Hua polysaccharides on the gluten network and protein aggregation behavior under low-voltage electrostatic field. Food Hydrocolloids. 163. 111065–111065. 1 indexed citations
3.
Xie, Dongchao, et al.. (2025). Efficient production, structural characterization and bioactivity of an extracellular polysaccharide from Grifola frondosa endophytic Burkholderia sp.. International Journal of Biological Macromolecules. 309(Pt 3). 143090–143090. 2 indexed citations
4.
Li, Yongxin, et al.. (2024). Effect of Polygonatum cyrtonema Hua polysaccharides on gluten structure, in vitro digestion and shelf-life of fresh wet noodle. International Journal of Biological Macromolecules. 279(Pt 4). 135475–135475. 9 indexed citations
5.
Xiao, Li, Jinping Si, Ying Liu, & Danyan Xu. (2024). Real World Experience in Effect of Torsemide vs. Furosemide After Discharge in Patients with HFpEF. ESC Heart Failure. 12(1). 71–79.
6.
Fu, Ke, Yiting Chen, Yijing Wang, et al.. (2024). Multi-omics reveal the regulation mechanism in response to freezing tolerance in Dendrobium catenatum. Plant Growth Regulation. 104(1). 535–547.
7.
Meng, Xinyue, Lige Li, Yan Shi, et al.. (2023). Machine learning uncovers accumulation mechanism of flavonoid compounds in Polygonatum cyrtonema Hua. Plant Physiology and Biochemistry. 201. 107839–107839. 24 indexed citations
8.
Xu, Yi, Xueliang Chen, Yu Wang, et al.. (2023). Phylogenomics reveal DcTPS-mediated terpenoid accumulation and environmental response in Dendrobium catenatum. Industrial Crops and Products. 208. 117799–117799. 7 indexed citations
9.
Li, Cong, Xiang Cai, Xueliang Chen, et al.. (2022). Genome-wide analysis of basic helix–loop–helix genes in Dendrobium catenatum and functional characterization of DcMYC2 in jasmonate-mediated immunity to Sclerotium delphinii. Frontiers in Plant Science. 13. 956210–956210. 9 indexed citations
10.
Liu, Jingjing, Qing Li, Xueliang Chen, et al.. (2021). Genome-wide identification of Cellulose-like synthase D gene family in Dendrobium catenatum. Biotechnology & Biotechnological Equipment. 35(1). 1163–1176. 6 indexed citations
11.
Liu, Jingjing, et al.. (2020). [Main nutrients and functional ingredients in shoots of Polygonatum cyrtonema].. PubMed. 45(5). 1053–1058. 6 indexed citations
12.
Liu, Jingjing, et al.. (2018). [Analysis on stability and antioxidant capacity of color-related components from Dendrobium officinale flower].. PubMed. 43(10). 2025–2031. 4 indexed citations
13.
Meng, Xu, et al.. (2016). Polysaccharides, extracts, and amino acids in hybrid Dendrobium officinale flowers. 33(5). 749–755. 2 indexed citations
14.
Si, Jinping. (2013). Effects of Different Processing Methods on the Principal Constituents of Jumi. Zhongguo shiyan fangjixue zazhi. 1 indexed citations
15.
Si, Jinping. (2012). ESTABLISHMENT AND OPTIMIZATION OF SCoT-PCR REACTION SYSTEM FOR Dendrobium officinale. Journal of Nuclear Agricultural Sciences. 1 indexed citations
16.
Huang, Wenhua, Baolin Guo, & Jinping Si. (2005). [Studies on HPLC chromatogram of phenolic constituents of Cortex Magnoliae Officinalis].. PubMed. 30(13). 968–71. 4 indexed citations
17.
Si, Jinping, et al.. (2002). [Quality evaluation and utilization of germplasm resources of Magnolia officinalis].. PubMed. 25(2). 79–81. 1 indexed citations
18.
Zhu, Yuqiu, Zaikang Tong, & Jinping Si. (2000). A preliminary study on isozymes of Magnolia officinalis from different provenances. Zhejiang Linxueyuan xuebao. 17(1). 32–36. 1 indexed citations
19.
Zhu, Yanhui, et al.. (1999). [A study on the relationship between tree age and bark quality in Magnolia officinalis].. PubMed. 22(8). 379–81. 1 indexed citations
20.
Si, Jinping, et al.. (1998). [Study on the relationship between provenance, leaf type and quality in Magnolia officinalis].. PubMed. 21(11). 541–3. 1 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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