Ching‐Yi Chen

5.5k total citations · 1 hit paper
62 papers, 4.4k citations indexed

About

Ching‐Yi Chen is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Ching‐Yi Chen has authored 62 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 10 papers in Oncology and 9 papers in Physiology. Recurrent topics in Ching‐Yi Chen's work include RNA Research and Splicing (27 papers), RNA and protein synthesis mechanisms (11 papers) and RNA regulation and disease (7 papers). Ching‐Yi Chen is often cited by papers focused on RNA Research and Splicing (27 papers), RNA and protein synthesis mechanisms (11 papers) and RNA regulation and disease (7 papers). Ching‐Yi Chen collaborates with scholars based in United States, Taiwan and Italy. Ching‐Yi Chen's co-authors include Robert J. Schwartz, Roberto Gherzi, Michael Karin, Paola Briata, Christoph Moroni, Matthias Mann, Zhenguo Wu, Fabienne Del Gatto–Konczak, Ger J.M. Pruijn and Reinout Raijmakers and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ching‐Yi Chen

58 papers receiving 4.3k citations

Hit Papers

AU Binding Proteins Recruit the Exosome to Degrade ARE-Co... 2001 2026 2009 2017 2001 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ching‐Yi Chen United States 29 3.7k 823 441 352 336 62 4.4k
Imed‐Eddine Gallouzi Canada 34 3.3k 0.9× 475 0.6× 368 0.8× 211 0.6× 300 0.9× 65 3.9k
Sean Bong Lee United States 36 2.8k 0.8× 449 0.5× 540 1.2× 475 1.3× 564 1.7× 83 4.1k
Paz Einat Israel 17 3.2k 0.9× 1.9k 2.4× 325 0.7× 337 1.0× 255 0.8× 21 4.3k
Yingqun Huang United States 31 3.8k 1.0× 1.9k 2.4× 397 0.9× 247 0.7× 175 0.5× 49 4.7k
Eyal Bengal Israel 29 2.6k 0.7× 376 0.5× 293 0.7× 361 1.0× 336 1.0× 45 3.1k
Gieri Camenisch Switzerland 26 1.9k 0.5× 1.9k 2.3× 302 0.7× 516 1.5× 329 1.0× 39 3.5k
Toru Tanaka Japan 30 1.6k 0.4× 363 0.4× 429 1.0× 232 0.7× 415 1.2× 89 2.9k
Dangsheng Li China 32 3.4k 0.9× 1.4k 1.7× 537 1.2× 537 1.5× 367 1.1× 52 4.4k
Rehannah Borup Denmark 34 2.2k 0.6× 564 0.7× 548 1.2× 469 1.3× 234 0.7× 67 3.7k
Jean Marie Blanchard France 24 3.0k 0.8× 570 0.7× 636 1.4× 547 1.6× 879 2.6× 34 4.5k

Countries citing papers authored by Ching‐Yi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Yi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Yi Chen. A scholar is included among the top collaborators of Ching‐Yi 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 Ching‐Yi Chen. Ching‐Yi 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.
Chen, Ching‐Yi, Chih‐Huang Tseng, Ching‐Wei Hsu, & Yuk-Kwan Chen. (2023). Simultaneous metastases of papillary thyroid carcinoma and oral squamous cell carcinoma in the cervical lymph nodes of neck dissection specimens. Journal of Dental Sciences. 19(1). 717–719.
2.
Chen, Yu-Jen, et al.. (2023). Assessment of Brown and Beige Adipose Tissue Activation in Mice Using PET/CT Imaging. Methods in molecular biology. 2662. 135–145. 2 indexed citations
3.
Tseng, Chih‐Huang, Chung‐Ho Chen, Ching‐Yi Chen, & Yuk-Kwan Chen. (2021). Merkel-type oral small cell neuroendocrine carcinoma as second malignancy of tongue. Journal of Dental Sciences. 16(4). 1290–1292.
4.
Li, Wei, Hilaire J. Thompson, Pin-Yuan Chen, et al.. (2020). Sleep Disturbances Following Traumatic Brain Injury in Older Adults: A Comparison Study. Journal of Head Trauma Rehabilitation. 35(4). 288–295. 15 indexed citations
5.
Montermann, Evelyn, Dominika Hobernik, Matthias Bros, et al.. (2017). Inactivation of the KSRP gene modifies collagen antibody induced arthritis. Molecular Immunology. 87. 207–216. 12 indexed citations
6.
Wang, Yen‐Yun, Wenchen Wang, Chung‐Ho Chen, et al.. (2017). Overexpression of sprouty2 in human oral squamous cell carcinogenesis. Archives of Oral Biology. 87. 131–142. 6 indexed citations
7.
Wang, Wenchen, et al.. (2016). Sialolithiasis of minor salivary glands: A review of 17 cases. Journal of Dental Sciences. 11(2). 152–155. 10 indexed citations
8.
King, Peter H. & Ching‐Yi Chen. (2014). Role of KSRP in Control of Type I Interferon and Cytokine Expression. Journal of Interferon & Cytokine Research. 34(4). 267–274. 17 indexed citations
9.
Chou, Chu‐Fang, et al.. (2014). KSRP is critical in governing hepatic lipid metabolism through controlling Per2 expression. Journal of Lipid Research. 56(2). 227–240. 16 indexed citations
10.
Bird, Clark W., Amy S. Gardiner, Federico Bolognani, et al.. (2013). KSRP Modulation of GAP-43 mRNA Stability Restricts Axonal Outgrowth in Embryonic Hippocampal Neurons. PLoS ONE. 8(11). e79255–e79255. 35 indexed citations
11.
Li, Xuelin, Wei‐Jye Lin, Ching‐Yi Chen, et al.. (2012). KSRP: A checkpoint for inflammatory cytokine production in astrocytes. Glia. 60(11). 1773–1784. 40 indexed citations
13.
García‐Mayoral, María Flor, David Hollingworth, Laura Masino, et al.. (2007). The Structure of the C-Terminal KH Domains of KSRP Reveals a Noncanonical Motif Important for mRNA Degradation. Structure. 15(4). 485–498. 90 indexed citations
14.
Gherzi, Roberto, et al.. (2004). A KH Domain RNA Binding Protein, KSRP, Promotes ARE-Directed mRNA Turnover by Recruiting the Degradation Machinery. Molecular Cell. 14(5). 571–583. 366 indexed citations
15.
Wu, Ming‐Tsang, Chih‐Hong Pan, Ching‐Yi Chen, et al.. (2004). Lack of modulating influence of GSTM1 and GSTT1 polymorphisms on urinary biomonitoring markers in coke‐oven workers. American Journal of Industrial Medicine. 46(2). 112–119. 9 indexed citations
16.
Briata, Paola, Cristina Ilengo, Giorgio Corte, et al.. (2003). The Wnt/β-Catenin→Pitx2 Pathway Controls the Turnover of Pitx2 and Other Unstable mRNAs. Molecular Cell. 12(5). 1201–1211. 146 indexed citations
17.
Chen, Ching‐Yi, et al.. (2002). Mks1 in Concert with TOR Signaling Negatively Regulates RTG Target Gene Expression in S. cerevisiae. Current Biology. 12(5). 389–395. 98 indexed citations
18.
Chen, Ching‐Yi, Roberto Gherzi, Shao‐En Ong, et al.. (2001). AU Binding Proteins Recruit the Exosome to Degrade ARE-Containing mRNAs. Cell. 107(4). 451–464. 720 indexed citations breakdown →
19.
Sepulveda, Jorge L., et al.. (1998). GATA-4 and Nkx-2.5 Coactivate Nkx-2 DNA Binding Targets: Role for Regulating Early Cardiac Gene Expression. Molecular and Cellular Biology. 18(6). 3405–3415. 258 indexed citations
20.
Chen, Ching‐Yi & Robert J. Schwartz. (1997). Competition Between Negative Acting YY1versusPositive Acting Serum Response Factor and Tinman Homologue Nkx-2.5 Regulates Cardiac α-Actin Promoter Activity. Molecular Endocrinology. 11(6). 812–822. 63 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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