Chen-Yun Chen

712 total citations
10 papers, 256 citations indexed

About

Chen-Yun Chen is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Chen-Yun Chen has authored 10 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Chen-Yun Chen's work include Renal and related cancers (3 papers), MicroRNA in disease regulation (3 papers) and Pluripotent Stem Cells Research (2 papers). Chen-Yun Chen is often cited by papers focused on Renal and related cancers (3 papers), MicroRNA in disease regulation (3 papers) and Pluripotent Stem Cells Research (2 papers). Chen-Yun Chen collaborates with scholars based in Taiwan, United States and China. Chen-Yun Chen's co-authors include Patrick C.H. Hsieh, Timothy J. Kamp, Tien Hsu, Shu‐Chian Ruan, Jianhua Zhang, Po‐Ju Lin, Jen-Hao Lin, Christopher Yen, Yuan‐Yuan Cheng and A‐Min Huang and has published in prestigious journals such as Cancer Research, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Chen-Yun Chen

10 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chen-Yun Chen Taiwan	10	184	94	37	27	26	10	256
Shi Ling Ng Singapore	8	245 1.3×	119 1.3×	60 1.6×	13 0.5×	20 0.8×	11	324
Mariaelena Pistoni Italy	12	240 1.3×	62 0.7×	28 0.8×	13 0.5×	29 1.1×	21	321
Ruben G. de Bruin Netherlands	8	293 1.6×	145 1.5×	25 0.7×	31 1.1×	9 0.3×	11	367
Nathaniel W. Mabe United States	10	190 1.0×	56 0.6×	18 0.5×	38 1.4×	62 2.4×	14	254
Nina E. de Groot Netherlands	8	219 1.2×	115 1.2×	77 2.1×	20 0.7×	51 2.0×	12	331
Rita Carvalho Portugal	7	236 1.3×	122 1.3×	69 1.9×	28 1.0×	52 2.0×	10	317
Yong‐Qiu Doughman United States	9	287 1.6×	81 0.9×	51 1.4×	54 2.0×	27 1.0×	12	354
Huixing Zhou China	11	268 1.5×	53 0.6×	52 1.4×	16 0.6×	86 3.3×	45	366
Patrick Hofmann Germany	3	124 0.7×	91 1.0×	20 0.5×	13 0.5×	13 0.5×	14	195
Kinjal Desai United States	7	223 1.2×	52 0.6×	11 0.3×	28 1.0×	25 1.0×	14	303

Countries citing papers authored by Chen-Yun Chen

Since Specialization

Citations

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

Fields of papers citing papers by Chen-Yun Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen-Yun Chen

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

All Works

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10 of 10 papers shown

Chen, Chen-Yun, et al.. (2022). IL6 and CCL18 Mediate Cross-talk between VHL -Deficient Kidney Cells and Macrophages during Development of Renal Cell Carcinoma. Cancer Research. 82(15). 2716–2733. 16 indexed citations

Chen, Chen-Yun, et al.. (2021). Endothelial Reprogramming Stimulated by Oncostatin M Promotes Inflammation and Tumorigenesis in VHL -Deficient Kidney Tissue. Cancer Research. 81(19). 5060–5073. 16 indexed citations

Chen, Chen-Yun, Sheng‐Kai Chang, Tien Hsu, et al.. (2021). Cardiac-specific microRNA-125b deficiency induces perinatal death and cardiac hypertrophy. Scientific Reports. 11(1). 2377–2377. 24 indexed citations

Chen, Chen-Yun, Jianhua Zhang, Jen-Hao Lin, et al.. (2019). Hypoxia-induced H19/YB-1 cascade modulates cardiac remodeling after infarction. Theranostics. 9(22). 6550–6567. 60 indexed citations

Lee, Jia‐Jung, Sin‐Jhong Cheng, Ching‐Ying Huang, et al.. (2019). Primary cardiac manifestation of autosomal dominant polycystic kidney disease revealed by patient induced pluripotent stem cell-derived cardiomyocytes. EBioMedicine. 40. 675–684. 13 indexed citations

Chen, Chen-Yun, Liwei Liu, Yu‐Che Cheng, et al.. (2019). MicroRNA let-7-TGFBR3 signalling regulates cardiomyocyte apoptosis after infarction. EBioMedicine. 46. 236–247. 34 indexed citations

Chen, Chen-Yun, et al.. (2017). The roles of non-coding RNAs in cardiac regenerative medicine. Non-coding RNA Research. 2(2). 100–110. 14 indexed citations

Chen, Chen-Yun, Yuan‐Yuan Cheng, Christopher Yen, & Patrick C.H. Hsieh. (2016). Mechanisms of pluripotency maintenance in mouse embryonic stem cells. Cellular and Molecular Life Sciences. 74(10). 1805–1817. 24 indexed citations

Chen, Chen-Yun, Yu‐Ting Yan, Chia‐Ning Shen, et al.. (2015). Bcl3 Bridges LIF-STAT3 to Oct4 Signaling in the Maintenance of Naïve Pluripotency. Stem Cells. 33(12). 3468–3480. 29 indexed citations

10.

Chang, Wen-Teng, et al.. (2005). A novel function of transcription factor α-Pal/NRF-1: Increasing neurite outgrowth. Biochemical and Biophysical Research Communications. 334(1). 199–206. 26 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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