Tingsong Chen

490 total citations
20 papers, 208 citations indexed

About

Tingsong Chen is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Tingsong Chen has authored 20 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Surgery. Recurrent topics in Tingsong Chen's work include MicroRNA in disease regulation (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Circular RNAs in diseases (4 papers). Tingsong Chen is often cited by papers focused on MicroRNA in disease regulation (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Circular RNAs in diseases (4 papers). Tingsong Chen collaborates with scholars based in China and Japan. Tingsong Chen's co-authors include Tao Han, Zhendong Zheng, Lei Han, Li Gao, Xiaodan Yang, Yue Zhang, Hengyu Li, Yue Zhang, Ping He and Lu Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and Medicine.

In The Last Decade

Tingsong Chen

19 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tingsong Chen China 10 112 95 36 35 29 20 208
Weihua Zhu China 6 122 1.1× 120 1.3× 41 1.1× 54 1.5× 21 0.7× 14 211
Shaohua Ren China 11 135 1.2× 84 0.9× 42 1.2× 34 1.0× 49 1.7× 31 301
Luyuan Ma China 8 188 1.7× 159 1.7× 27 0.8× 50 1.4× 18 0.6× 17 261
Mengying Ke China 10 137 1.2× 51 0.5× 17 0.5× 33 0.9× 15 0.5× 16 252
Yaping Dong China 10 100 0.9× 60 0.6× 49 1.4× 64 1.8× 23 0.8× 20 259
Junyu Wu Hong Kong 8 91 0.8× 62 0.7× 30 0.8× 49 1.4× 32 1.1× 10 226
Huimin Zou China 9 71 0.6× 51 0.5× 26 0.7× 41 1.2× 37 1.3× 24 240
Zhibin Lin China 9 125 1.1× 59 0.6× 27 0.8× 23 0.7× 27 0.9× 16 237
Youhong Dong China 10 95 0.8× 47 0.5× 27 0.8× 42 1.2× 10 0.3× 30 208
Yiming Lei China 8 174 1.6× 119 1.3× 52 1.4× 42 1.2× 37 1.3× 15 293

Countries citing papers authored by Tingsong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tingsong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingsong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Tingsong Chen. A scholar is included among the top collaborators of Tingsong 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 Tingsong Chen. Tingsong 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.
Liu, Yan, et al.. (2024). CFHR1 involvement in bile duct carcinoma: Insights from a data mining study. Analytical Biochemistry. 688. 115474–115474.
2.
Han, Tao, Tingsong Chen, Lüjun Chen, et al.. (2023). HLF promotes ovarian cancer progression and chemoresistance via regulating Hippo signaling pathway. Cell Death and Disease. 14(9). 606–606. 12 indexed citations
3.
Zhou, Yinghui, et al.. (2023). Screening and Identification of ESR1 as a Target of Icaritin in HepatocellularCarcinoma: Evidence from Bibliometrics and Bioinformatic Analysis. Current Molecular Pharmacology. 17. e18761429260902–e18761429260902. 7 indexed citations
4.
5.
Han, Tao, et al.. (2022). Identification of the Mechanism of Matrine Combined with Glycyrrhizin for Hepatocellular Carcinoma Treatment through Network Pharmacology and Bioinformatics Analysis. Oxidative Medicine and Cellular Longevity. 2022(1). 2663758–2663758. 9 indexed citations
6.
Chen, Tingsong. (2022). Circulating Non-Coding RNAs as Potential Diagnostic Biomarkers in Hepatocellular Carcinoma. SHILAP Revista de lepidopterología. Volume 9. 1029–1040. 22 indexed citations
7.
Chen, Tingsong, Hao Wang, & Hongzhu Yan. (2022). miR-28-5p inhibits cholangiocarcinoma progression and predicts good prognosis of patients. Cell Cycle. 21(19). 2079–2090. 4 indexed citations
8.
Liu, Yan, Tingsong Chen, Tianhao Shen, et al.. (2021). Clinical verification of vimentin/EpCAM immunolipid magnetic sorting system in monitoring CTCs in arterial and venous blood of advanced tumor. Journal of Nanobiotechnology. 19(1). 185–185. 12 indexed citations
9.
Gao, Li, Xiaowei Du, Xiaoxiong Wu, et al.. (2021). Large-Scale Transcriptome Analysis Identified a Novel Cancer Driver Genes Signature for Predicting the Prognostic of Patients With Hepatocellular Carcinoma. Frontiers in Pharmacology. 12. 638622–638622. 6 indexed citations
10.
Zhang, Yue, Бо Лю, Pinghua Yang, et al.. (2021). FAT10 promotes hepatocellular carcinoma (HCC) carcinogenesis by mediating P53 degradation and acts as a prognostic indicator of HCC. Journal of Gastrointestinal Oncology. 12(4). 1823–1837. 10 indexed citations
11.
Du, Xiaowei, Li Gao, Juan Liu, et al.. (2021). Comprehensive analysis of the cancer driver genes in breast cancer demonstrates their roles in cancer prognosis and tumor microenvironment. World Journal of Surgical Oncology. 19(1). 273–273. 12 indexed citations
12.
Chen, Tingsong, et al.. (2021). Construction of a ceRNA network in hepatocellular carcinoma and comprehensive analysis of immune infiltration patterns.. PubMed. 13(12). 13356–13379. 5 indexed citations
13.
Han, Tao, Yue Zhang, Xiaodan Yang, et al.. (2020). miR-552 Regulates Liver Tumor-Initiating Cell Expansion and Sorafenib Resistance. Molecular Therapy — Nucleic Acids. 19. 1073–1085. 36 indexed citations
14.
Wang, Kun, Yue Zhang, Xiaodan Yang, Tingsong Chen, & Tao Han. (2020). Analysis of differentially expressed mRNAs and the prognosis of cholangiocarcinoma based on TCGA database. Translational Cancer Research. 9(8). 4739–4749. 4 indexed citations
15.
16.
Zhang, Yue, Tao Han, Di Wang, et al.. (2019). Hepatocellular carcinoma with pancreatic mass as the first symptom: a case report and literature review. Annals of Palliative Medicine. 8(5). 740–745. 2 indexed citations
17.
Wang, Hao, Yi Zhao, Tingsong Chen, et al.. (2019). MiR-371 promotes proliferation and metastasis in hepatocellular carcinoma by targeting PTEN. BMB Reports. 52(5). 312–317. 14 indexed citations
18.
Chen, Yonghui, Cheng Zhang, Wei Li, Tingsong Chen, & Mingwu Zhang. (2018). A publicly verifiable network coding scheme with null-space HMAC. International Journal of Intelligent Information and Database Systems. 11(2/3). 117–117. 2 indexed citations
19.
Chen, Tingsong, et al.. (2016). Effect of vitamin B supplementation on cancer incidence, death due to cancer, and total mortality. Medicine. 95(31). e3485–e3485. 15 indexed citations
20.
Luo, Ming, et al.. (2012). Antifibrotic effects of glycyrrhizin and matrine in vitro and in vivo. Biomedicine & Preventive Nutrition. 2(2). 132–137. 13 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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