Yuting Chen

473 total citations
30 papers, 333 citations indexed

About

Yuting Chen is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Yuting Chen has authored 30 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 8 papers in Cancer Research and 3 papers in Surgery. Recurrent topics in Yuting Chen's work include Extracellular vesicles in disease (9 papers), MicroRNA in disease regulation (6 papers) and Ubiquitin and proteasome pathways (4 papers). Yuting Chen is often cited by papers focused on Extracellular vesicles in disease (9 papers), MicroRNA in disease regulation (6 papers) and Ubiquitin and proteasome pathways (4 papers). Yuting Chen collaborates with scholars based in China, United States and Japan. Yuting Chen's co-authors include Doudou Liu, Bin Zeng, Xiaoshuang Li, Hongyun Xing, Jianyu Wang, Robert E. Hughes, Juan Yi, Yan Guo, Birgit Schilling and Chang-ye Hui and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yuting Chen

26 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuting Chen China 12 238 99 38 30 30 30 333
Ke Cai China 14 284 1.2× 101 1.0× 41 1.1× 18 0.6× 22 0.7× 35 421
Sang‐Mo Kwon South Korea 9 118 0.5× 83 0.8× 59 1.6× 22 0.7× 30 1.0× 12 328
Yumin Ke China 10 140 0.6× 40 0.4× 54 1.4× 14 0.5× 22 0.7× 28 304
Yue Ning China 15 285 1.2× 141 1.4× 64 1.7× 47 1.6× 18 0.6× 27 516
Anupama Modi India 11 166 0.7× 76 0.8× 47 1.2× 22 0.7× 17 0.6× 31 332
Rita Garamvölgyi Hungary 10 145 0.6× 60 0.6× 19 0.5× 11 0.4× 14 0.5× 32 352
Masayuki Ebina Japan 9 357 1.5× 137 1.4× 16 0.4× 12 0.4× 45 1.5× 14 449
Carey Hobbs United States 8 200 0.8× 49 0.5× 52 1.4× 27 0.9× 22 0.7× 11 469
Yuya Ouchi Japan 13 208 0.9× 65 0.7× 12 0.3× 9 0.3× 51 1.7× 26 421
Hui Zhong China 12 316 1.3× 104 1.1× 52 1.4× 45 1.5× 41 1.4× 29 434

Countries citing papers authored by Yuting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuting Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yuting Chen. A scholar is included among the top collaborators of Yuting 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 Yuting Chen. Yuting 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.
Xing, Bowen, Min Yang, Jun Shang, et al.. (2025). Splicing Shift of RAC1 Accelerates Tumorigenesis and Defines a Potent Therapeutic Target in Lung Cancer. Advanced Science. 12(33). e03322–e03322.
2.
Xie, Qijun, Yuting Chen, Yi Wei, et al.. (2025). Role of ZBED3 in PALD1/PIP2- dependent calcium homeostasis during oocyte maturation. Cell & Bioscience. 15(1). 68–68.
3.
Zhang, Yulong, Min Dai, Yuting Chen, et al.. (2025). Dynamic heterogeneity towards drug resistance in AML cells is primarily driven by epigenomic mechanism unveiled by multi-omics analysis. Journal of Advanced Research. 80. 487–501.
4.
Zhang, Yajie, et al.. (2025). Cigarette smoke-induced PPAR signaling dysregulation accelerates Alzheimer's disease pathogenesis and cognitive decline in 5xFAD mice. Food and Chemical Toxicology. 203. 115596–115596. 1 indexed citations
5.
6.
Chen, Yuting, Bin Zeng, Meng Xiang, et al.. (2025). The exosomal miRNA-3184-3p derived from highly metastatic melanoma cells promotes metastatic competency via the positive feedback loop of NLK/Wnt/S100A11. Biochemical Pharmacology. 240. 117086–117086. 1 indexed citations
7.
Bai, Hairui, Heng Zhang, Huifeng Meng, et al.. (2024). Electron-deficient fused dithieno-benzothiadiazole-bridged polymer acceptors for high-efficiency all-polymer solar cells with low energy loss. Materials Science and Engineering R Reports. 163. 100916–100916. 9 indexed citations
8.
9.
Zeng, Bin, Yuting Chen, Hao Chen, et al.. (2023). Synergistic inhibition of NUDT21 by secretory S100A11 and exosomal miR‐487a‐5p promotes melanoma oligo‐ to poly‐metastatic progression. Molecular Oncology. 17(12). 2743–2766. 5 indexed citations
10.
Liu, Mingjun, et al.. (2023). New Attempts to Inhibit Methicillin-Resistant Staphylococcus aureus Biofilm? A Combination of Daptomycin and Azithromycin. Infection and Drug Resistance. Volume 16. 7029–7040. 3 indexed citations
11.
Jiang, Peng, et al.. (2022). Systemic analysis of the expression and prognostic significance of USP31 in endometrial cancer. SHILAP Revista de lepidopterología. 23(3). 426–436. 4 indexed citations
12.
Chen, Hao, Xiaoshuang Li, Bin Zeng, et al.. (2022). Low-metastatic melanoma cells acquire enhanced metastatic capability via exosomal transfer of miR-199a-1-5p from highly metastatic melanoma cells. Cell Death Discovery. 8(1). 188–188. 12 indexed citations
13.
14.
Chen, Hao, Bin Zeng, Xiaoshuang Li, et al.. (2022). High-Metastatic Melanoma Cells Promote the Metastatic Capability of Low-Metastatic Melanoma Cells via Exosomal Transfer of miR-411-5p. Frontiers in Oncology. 12. 895164–895164. 14 indexed citations
15.
Liu, Doudou, Xiaoshuang Li, Bin Zeng, et al.. (2022). Exosomal microRNA-4535 of Melanoma Stem Cells Promotes Metastasis by Inhibiting Autophagy Pathway. Stem Cell Reviews and Reports. 19(1). 155–169. 35 indexed citations
16.
Li, Xiaoshuang, Doudou Liu, Hao Chen, et al.. (2022). Melanoma stem cells promote metastasis via exosomal miR-1268a inactivation of autophagy. Biological Research. 55(1). 29–29. 18 indexed citations
17.
Chen, Yuting, Ting Zhang, Chang Chen, et al.. (2021). Associations of early pregnancy BMI with adverse pregnancy outcomes and infant neurocognitive development. Scientific Reports. 11(1). 3793–3793. 16 indexed citations
18.
Wang, Dandan, Yingguang Shan, Yan Huang, et al.. (2016). Vasostatin-1 Stops Structural Remodeling and Improves Calcium Handling via the eNOS-NO-PKG Pathway in Rat Hearts Subjected to Chronic β-Adrenergic Receptor Activation. Cardiovascular Drugs and Therapy. 30(5). 455–464. 8 indexed citations
19.
Chen, Chih‐Ping, Shuenn‐Dyh Chang, Tzu‐Hao Wang, et al.. (2013). Detection of recurrent transmission of 17q12 microdeletion by array comparative genomic hybridization in a fetus with prenatally diagnosed hydronephrosis, hydroureter, and multicystic kidney, and variable clinical spectrum in the family. Taiwanese Journal of Obstetrics and Gynecology. 52(4). 551–557. 20 indexed citations
20.
Chen, Yuting, et al.. (2012). Ubiquitin-specific Peptidase 9, X-linked (USP9X) Modulates Activity of Mammalian Target of Rapamycin (mTOR). Journal of Biological Chemistry. 287(25). 21164–21175. 44 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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