Yi‐Chen Yen

527 total citations
11 papers, 405 citations indexed

About

Yi‐Chen Yen is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yi‐Chen Yen has authored 11 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Yi‐Chen Yen's work include MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). Yi‐Chen Yen is often cited by papers focused on MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). Yi‐Chen Yen collaborates with scholars based in Taiwan and United States. Yi‐Chen Yen's co-authors include Ya‐Wen Chen, Brian C. Lewis, Jang‐Yang Chang, Jenn‐Ren Hsiao, Shih Sheng Jiang, I–Shou Chang, Jeffrey S. Chang, Tung‐Yiu Wong, Yuan-Ming Hsu and Michael Hsiao and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Yi‐Chen Yen

11 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi‐Chen Yen Taiwan 9 316 171 68 41 38 11 405
Hidetoshi Wakeyama Japan 8 328 1.0× 122 0.7× 231 3.4× 39 1.0× 24 0.6× 8 416
Sheetal Bhan United States 10 384 1.2× 131 0.8× 94 1.4× 94 2.3× 55 1.4× 11 476
Masahisa Ishibashi Japan 10 451 1.4× 414 2.4× 82 1.2× 27 0.7× 23 0.6× 11 566
Jung Hwa Moon South Korea 8 267 0.8× 117 0.7× 182 2.7× 35 0.9× 13 0.3× 10 372
Sibylle Cocciardi Australia 8 328 1.0× 209 1.2× 112 1.6× 16 0.4× 38 1.0× 14 433
Mehdi El Hour Belgium 5 174 0.6× 127 0.7× 127 1.9× 38 0.9× 21 0.6× 5 345
Shaoqiang Cheng China 7 174 0.6× 115 0.7× 118 1.7× 83 2.0× 16 0.4× 11 320
Anthony G. Clementz United States 8 321 1.0× 84 0.5× 220 3.2× 28 0.7× 25 0.7× 9 497
Sahra Borgés United States 11 316 1.0× 89 0.5× 141 2.1× 42 1.0× 33 0.9× 13 432
Koji Katada Japan 7 308 1.0× 240 1.4× 39 0.6× 19 0.5× 12 0.3× 7 386

Countries citing papers authored by Yi‐Chen Yen

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Chen Yen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi‐Chen Yen

This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Chen Yen. A scholar is included among the top collaborators of Yi‐Chen Yen 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 Yi‐Chen Yen. Yi‐Chen Yen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Wu, Mei‐Han, et al.. (2020). Computed tomography-based differentiation of primary pulmonary lymphoepithelioma-like carcinoma and small-cell lung cancer. Journal of the Chinese Medical Association. 83(10). 936–942. 2 indexed citations
2.
Chen, Yu-Lin, Wan‐Lin Wu, Chuan‐Wei Jang, et al.. (2019). Interferon-stimulated gene 15 modulates cell migration by interacting with Rac1 and contributes to lymph node metastasis of oral squamous cell carcinoma cells. Oncogene. 38(23). 4480–4495. 34 indexed citations
3.
Chen, Yulin, Ko‐Jiunn Liu, Chuan‐Wei Jang, et al.. (2019). ERK Activation Modulates Cancer Stemness and Motility of a Novel Mouse Oral Squamous Cell Carcinoma Cell Line. Cancers. 12(1). 61–61. 17 indexed citations
4.
Liou, Gunn‐Guang, Jeffrey S. Chang, Jenn‐Ren Hsiao, et al.. (2018). Laminin γ2‐enriched extracellular vesicles of oral squamous cell carcinoma cells enhance in vitro lymphangiogenesis via integrin α3‐dependent uptake by lymphatic endothelial cells. International Journal of Cancer. 144(11). 2795–2810. 56 indexed citations
5.
Chen, Chung‐Hsing, Ya‐Wen Chen, Yi‐Chen Yen, et al.. (2017). Upregulation of CISD2 augments ROS homeostasis and contributes to tumorigenesis and poor prognosis of lung adenocarcinoma. Scientific Reports. 7(1). 11893–11893. 35 indexed citations
6.
Chou, Chen‐Pin, Shih Sheng Jiang, Huay‐Ben Pan, et al.. (2016). Endothelial cell colony forming units derived from malignant breast diseases are resistant to tumor necrosis factor-α-induced apoptosis. Scientific Reports. 6(1). 37450–37450. 9 indexed citations
7.
8.
Shiah, Shine‐Gwo, Jenn‐Ren Hsiao, Wei‐Min Chang, et al.. (2014). Downregulated miR329 and miR410 Promote the Proliferation and Invasion of Oral Squamous Cell Carcinoma by Targeting Wnt-7b. Cancer Research. 74(24). 7560–7572. 115 indexed citations
9.
Chen, Ya‐Wen, Huay‐Ben Pan, Hui‐Hwa Tseng, et al.. (2013). Differentiated Epithelial- and Mesenchymal-Like Phenotypes in Subcutaneous Mouse Xenografts Using Diffusion Weighted-Magnetic Resonance Imaging. International Journal of Molecular Sciences. 14(11). 21943–21959. 5 indexed citations
10.
11.
Yen, Yi‐Chen, et al.. (2010). Pro-apoptotic Role of Cdc25A. Journal of Biological Chemistry. 285(23). 17833–17845. 11 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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