Si-Yuan Pan

1.3k total citations · 1 hit paper
36 papers, 953 citations indexed

About

Si-Yuan Pan is a scholar working on Molecular Biology, Pharmacology and Complementary and alternative medicine. According to data from OpenAlex, Si-Yuan Pan has authored 36 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Pharmacology and 6 papers in Complementary and alternative medicine. Recurrent topics in Si-Yuan Pan's work include Peroxisome Proliferator-Activated Receptors (5 papers), Plant-derived Lignans Synthesis and Bioactivity (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). Si-Yuan Pan is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (5 papers), Plant-derived Lignans Synthesis and Bioactivity (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). Si-Yuan Pan collaborates with scholars based in China, Hong Kong and United States. Si-Yuan Pan's co-authors include Zhi‐Ling Yu, Kam‐Ming Ko, Shu-Feng Zhou, Gao S, Minke Tang, Gerhard Litscher, Shuofeng Zhang, Jianning Sun, Yifan Han and Sibao Chen and has published in prestigious journals such as Bioinformatics, Analytical Chemistry and Chemical Communications.

In The Last Decade

Si-Yuan Pan

35 papers receiving 918 citations

Hit Papers

Historical Perspective of Traditional Indigenous Medical ... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Si-Yuan Pan China 16 410 210 190 188 139 36 953
Shuofeng Zhang China 15 366 0.9× 227 1.1× 178 0.9× 175 0.9× 125 0.9× 45 1.1k
Jung Chao Taiwan 15 379 0.9× 173 0.8× 162 0.9× 181 1.0× 134 1.0× 28 855
Seong Eun Jin South Korea 18 506 1.2× 212 1.0× 156 0.8× 234 1.2× 189 1.4× 57 1.3k
Xianju Huang China 23 617 1.5× 184 0.9× 116 0.6× 197 1.0× 103 0.7× 77 1.4k
Lin Dong China 20 513 1.3× 255 1.2× 172 0.9× 199 1.1× 114 0.8× 60 1000
Fumihide Takano Japan 23 459 1.1× 367 1.7× 218 1.1× 197 1.0× 194 1.4× 58 1.3k
De Ji China 19 531 1.3× 164 0.8× 182 1.0× 206 1.1× 95 0.7× 76 1.1k
Jiagang Deng China 22 475 1.2× 253 1.2× 331 1.7× 225 1.2× 118 0.8× 110 1.4k
Nanang Fakhrudin Indonesia 16 443 1.1× 311 1.5× 143 0.8× 130 0.7× 176 1.3× 76 959

Countries citing papers authored by Si-Yuan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Si-Yuan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Si-Yuan Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Si-Yuan Pan. A scholar is included among the top collaborators of Si-Yuan Pan 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 Si-Yuan Pan. Si-Yuan Pan 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.
Pan, Xingyu, et al.. (2024). SCMeTA: a pipeline for single-cell metabolic analysis data processing. Bioinformatics. 40(9). 3 indexed citations
2.
Pan, Si-Yuan, et al.. (2024). Mutation-based therapies for intrahepatic cholangiocarcinoma: new options on the horizon. Hepatoma Research. 1 indexed citations
3.
Sun, Rongqi, Ye Xu, Bo Wang, et al.. (2024). Integrated molecular characterization of sarcomatoid hepatocellular carcinoma. Clinical and Molecular Hepatology. 31(2). 426–444. 2 indexed citations
4.
Zhu, Junwen, Si-Yuan Pan, Huichao Chai, et al.. (2024). Microfluidic Impedance Cytometry Enabled One‐Step Sample Preparation for Efficient Single‐Cell Mass Spectrometry (Small 26/2024). Small. 20(26). 5 indexed citations
5.
Xin, Haoyang, Ning Li, Si-Yuan Pan, et al.. (2024). Development and validation of a stromal-immune signature to predict prognosis in intrahepatic cholangiocarcinoma. Clinical and Molecular Hepatology. 30(4). 914–928. 1 indexed citations
6.
Pan, Si-Yuan, et al.. (2024). Application of mass spectrometry in single-cell metabolomics. Scientia Sinica Chimica. 54(10). 1826–1836.
7.
Pan, Si-Yuan, Changyi Liu, Huan Yao, et al.. (2023). Single-cell metabolite profiling enables information-rich classification of lymphocyte types and subtypes. Chemical Communications. 60(4). 392–395. 7 indexed citations
8.
Zhu, Peili, Xiu‐Qiong Fu, Jun‐Kui Li, et al.. (2018). Antrodia camphorata Mycelia Exert Anti-liver Cancer Effects and Inhibit STAT3 Signaling in vitro and in vivo. Frontiers in Pharmacology. 9. 1449–1449. 21 indexed citations
9.
Zhang, Yi, An Hong, Si-Yuan Pan, et al.. (2016). Jiang Tang Xiao Ke Granule, a Classic Chinese Herbal Formula, Improves the Effect of Metformin on Lipid and Glucose Metabolism in Diabetic Mice. Evidence-based Complementary and Alternative Medicine. 2016(1). 1592731–1592731. 11 indexed citations
10.
Li, Jin-Ping, Qilun Liu, Zhixue He, et al.. (2015). The pan-inhibitor of Aurora kinases danusertib induces apoptosis and autophagy and suppresses epithelial-to-mesenchymal transition in human breast cancer cells. Drug Design Development and Therapy. 9. 1027–1027. 30 indexed citations
11.
Yu, Zhi‐Ling, Si-Yuan Pan, Xiaoyan Wang, et al.. (2015). A comparative study between Wuweizi seed and its post-ethanol extraction residue in normal and hypercholesterolemic mice. Lipids in Health and Disease. 14(1). 93–93. 8 indexed citations
12.
Zhou, Shu‐Feng, Yi Zhang, Zhiwei Zhou, et al.. (2015). Schisandrin B inhibits cell growth and induces cellular apoptosis and autophagy in mouse hepatocytes and macrophages: implications for its hepatotoxicity. Drug Design Development and Therapy. 9. 2001–2001. 23 indexed citations
13.
Wang, Xiaoyan, Zhi‐Ling Yu, Si-Yuan Pan, et al.. (2014). Supplementation with the Extract of Schisandrae Fructus Pulp, Seed, or Their Combination Influences the Metabolism of Lipids and Glucose in Mice Fed with Normal and Hypercholesterolemic Diet. Evidence-based Complementary and Alternative Medicine. 2014(1). 472638–472638. 11 indexed citations
14.
Pan, Si-Yuan, Gao S, Rui‐Chao Lin, et al.. (2013). New Perspectives on Dietary-derived Treatments and Food Safety—Antinomy in a New Era. Critical Reviews in Food Science and Nutrition. 55(13). 1836–1859. 3 indexed citations
15.
Kwan, Hiu Yee, Yongmei Hu, Chi-On Chan, et al.. (2013). Lipidomics Identification of Metabolic Biomarkers in Chemically Induced Hypertriglyceridemic Mice. Journal of Proteome Research. 12(3). 1387–1398. 23 indexed citations
16.
Chen, Sibao, et al.. (2011). Proteomic identification of differentially expressed proteins in curcumin-treated MCF-7 cells. Phytomedicine. 18(8-9). 697–703. 47 indexed citations
17.
Pan, Si-Yuan, et al.. (2010). New Perspectives on Chinese Herbal Medicine (Zhong‐Yao) Research and Development. Evidence-based Complementary and Alternative Medicine. 2011(1). 403709–403709. 53 indexed citations
19.
Pan, Si-Yuan, Rong Yang, Hang Dong, Zhi‐Ling Yu, & Kam‐Ming Ko. (2006). Bifendate treatment attenuates hepatic steatosis in cholesterol/bile salt- and high-fat diet-induced hypercholesterolemia in mice. European Journal of Pharmacology. 552(1-3). 170–175. 50 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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