Pei-Chun Shen

1.2k total citations · 1 hit paper
20 papers, 895 citations indexed

About

Pei-Chun Shen is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Pei-Chun Shen has authored 20 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Immunology. Recurrent topics in Pei-Chun Shen's work include Bioinformatics and Genomic Networks (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and MicroRNA in disease regulation (2 papers). Pei-Chun Shen is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and MicroRNA in disease regulation (2 papers). Pei-Chun Shen collaborates with scholars based in Taiwan, United States and Japan. Pei-Chun Shen's co-authors include Hsin-Ling Hsu, Yen‐An Chen, Hong‐Yu Tseng, Li‐Mei Chen, Yueh‐Shan Weng, Aushia Tanzih Al Haq, Yi‐Chung Tung, Kai‐Yuan Lin, Wei‐Chung Cheng and George T.Y. Chen and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Pei-Chun Shen

19 papers receiving 882 citations

Hit Papers

MCT-1/miR-34a/IL-6/IL-6R signaling axis promotes EMT prog... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MCT-1/miR-34a/IL-6/IL-6R signaling axis promotes EMT progression, cancer stemness and M2 macrophage polarization in triple-negative breast cancer
    2019 333 citations Yueh‐Shan Weng, Hong‐Yu Tseng et al. Molecular Cancer profile →

Peers

Pei-Chun Shen
Zitong Zhao China
Qi Qian China
Fanen Yuan China
Rui Xin China
Melissa García‐Caballero Spain
Wun‐Jae Kim South Korea
Huayao Li China
Rui Hu China
Kuang-Tai Kuo Taiwan
Rae-Kwon Kim South Korea
Zitong Zhao China
Pei-Chun Shen
Citations per year, relative to Pei-Chun Shen Pei-Chun Shen (= 1×) peers Zitong Zhao

Countries citing papers authored by Pei-Chun Shen

Since Specialization
Citations

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

Fields of papers citing papers by Pei-Chun Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei-Chun Shen. 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 Pei-Chun Shen. The network helps show where Pei-Chun Shen may publish in the future.

Co-authorship network of co-authors of Pei-Chun Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Pei-Chun Shen. A scholar is included among the top collaborators of Pei-Chun Shen 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 Pei-Chun Shen. Pei-Chun Shen 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.
Shen, Pei-Chun, Yingchun Yu, Chun-Chieh Yeh, et al.. (2025). Ether-lipids accumulation promotes hepatocellular carcinoma progression linked to PPARα deficiency. Journal of Biomedical Science. 32(1). 89–89.
2.
Liu, Chia-Hsin, et al.. (2024). LipidSigR: a R-based solution for integrated lipidomics data analysis and visualization. Bioinformatics Advances. 5(1). vbaf047–vbaf047. 2 indexed citations
3.
Shen, Pei-Chun, et al.. (2024). Phenotypic and metabolomic characteristics of mouse models of metabolic associated steatohepatitis. Biomarker Research. 12(1). 6–6. 7 indexed citations
4.
Liu, Chia-Hsin, Pei-Chun Shen, I‐Chieh Chen, et al.. (2024). LipidSig 2.0: integrating lipid characteristic insights into advanced lipidomics data analysis. Nucleic Acids Research. 52(W1). W390–W397. 6 indexed citations
5.
Liu, Chia-Hsin, Pei-Chun Shen, Yude Wang, et al.. (2023). DriverDBv4: a multi-omics integration database for cancer driver gene research. Nucleic Acids Research. 52(D1). D1246–D1252. 18 indexed citations
6.
Chen, Chia‐Hung, Cheng‐Hsun Chuang, Kai‐Yao Huang, et al.. (2022). Transdermal nanolipoplex simultaneously inhibits subcutaneous melanoma growth and suppresses systemically metastatic melanoma by activating host immunity. Nanomedicine Nanotechnology Biology and Medicine. 47. 102628–102628. 5 indexed citations
7.
8.
Yeh, Ming-Hsin, Hsiao‐Fan Chen, Tsu‐Shing Wang, et al.. (2021). ERα determines the chemo-resistant function of mutant p53 involving the switch between lincRNA-p21 and DDB2 expressions. Molecular Therapy — Nucleic Acids. 25. 536–553. 17 indexed citations
9.
Shen, Pei-Chun, et al.. (2021). LipidSig: a web-based tool for lipidomic data analysis. Nucleic Acids Research. 49(W1). W336–W345. 45 indexed citations
10.
Cheng, Wei‐Chung, Wen‐Lung Ma, Po‐Ku Chen, et al.. (2021). The Potential Role of Electronegative High-Density Lipoprotein H5 Subfraction in RA-Related Atherosclerosis. International Journal of Molecular Sciences. 22(21). 11419–11419. 6 indexed citations
11.
Shen, Pei-Chun, George T.Y. Chen, Heng‐Hsiung Wu, et al.. (2020). Identification and validation of a miRNA-based prognostic signature for cervical cancer through an integrated bioinformatics approach. Scientific Reports. 10(1). 22270–22270. 15 indexed citations
12.
Yang, Hsin‐Ling, Varadharajan Thiyagarajan, Pei-Chun Shen, et al.. (2019). Anti-EMT properties of CoQ0 attributed to PI3K/AKT/NFKB/MMP-9 signaling pathway through ROS-mediated apoptosis. Journal of Experimental & Clinical Cancer Research. 38(1). 186–186. 107 indexed citations
13.
Weng, Yueh‐Shan, Hong‐Yu Tseng, Yen‐An Chen, et al.. (2019). MCT-1/miR-34a/IL-6/IL-6R signaling axis promotes EMT progression, cancer stemness and M2 macrophage polarization in triple-negative breast cancer. Molecular Cancer. 18(1). 42–42. 333 indexed citations breakdown →
14.
Liu, Shu‐Hsuan, Pei-Chun Shen, Chen‐Yang Chen, et al.. (2019). DriverDBv3: a multi-omics database for cancer driver gene research. Nucleic Acids Research. 48(D1). D863–D870. 138 indexed citations
15.
Chen, Limei, Po‐Yen Liu, Yen‐An Chen, et al.. (2017). Oligo-Fucoidan prevents IL-6 and CCL2 production and cooperates with p53 to suppress ATM signaling and tumor progression. Scientific Reports. 7(1). 11864–11864. 42 indexed citations
16.
Uen, Yih‐Huei, Chia‐Lang Fang, You-Cheng Hseu, et al.. (2015). VAV3 Oncogene Expression in Colorectal Cancer: Clinical Aspects and Functional Characterization. Scientific Reports. 5(1). 9360–9360. 30 indexed citations
17.
Yang, Hsin-Ling, Kai‐Yuan Lin, K. J. Senthil Kumar, et al.. (2013). The anti-cancer activity of Antrodia camphorata against human ovarian carcinoma (SKOV-3) cells via modulation of HER-2/neu signaling pathway. Journal of Ethnopharmacology. 148(1). 254–265. 34 indexed citations
18.
Hseu, You‐Cheng, K. J. Senthil Kumar, Pei-Chun Shen, et al.. (2013). Humic acid in drinking well water induces inflammation through reactive oxygen species generation and activation of nuclear factor-κB/activator protein-1 signaling pathways: A possible role in atherosclerosis. Toxicology and Applied Pharmacology. 274(2). 249–262. 27 indexed citations
19.
20.
Lee, Chun‐Chang & Pei-Chun Shen. (2010). Using an Ordered Probit Regression Model to Assess the Performance of Real Estate Brokers. 3 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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