Chih-Chi Kuo

537 total citations
9 papers, 424 citations indexed

About

Chih-Chi Kuo is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Chih-Chi Kuo has authored 9 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Chih-Chi Kuo's work include Epigenetics and DNA Methylation (6 papers), Cancer-related gene regulation (3 papers) and RNA modifications and cancer (2 papers). Chih-Chi Kuo is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Cancer-related gene regulation (3 papers) and RNA modifications and cancer (2 papers). Chih-Chi Kuo collaborates with scholars based in Taiwan and United States. Chih-Chi Kuo's co-authors include Feng‐Cheng Chou, Huey‐Kang Sytwu, Heng-Yi Chen, Ya‐Wen Lin, Ming‐De Yan, Hsin‐Jung Li, Yu‐Lueng Shih, Wen‐Chi Lin, Chih‐Wei Tsao and Chang‐Huei Tsao and has published in prestigious journals such as Hepatology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Chih-Chi Kuo

9 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chih-Chi Kuo Taiwan 9 278 185 85 83 33 9 424
I‐Ying Lin Taiwan 12 214 0.8× 177 1.0× 40 0.5× 46 0.6× 18 0.5× 14 413
Hiroko Takenouchi Japan 10 196 0.7× 101 0.5× 229 2.7× 132 1.6× 27 0.8× 11 404
Chérine Abou Fayçal France 11 177 0.6× 69 0.4× 72 0.8× 73 0.9× 13 0.4× 14 301
Kelly DuPree United States 6 405 1.5× 53 0.3× 242 2.8× 56 0.7× 56 1.7× 14 526
Farid Ghorbaninezhad Iran 10 126 0.5× 157 0.8× 140 1.6× 61 0.7× 21 0.6× 26 333
Jeanne Galaine France 12 158 0.6× 303 1.6× 298 3.5× 58 0.7× 23 0.7× 28 512
Mei Feng China 10 174 0.6× 121 0.7× 158 1.9× 67 0.8× 18 0.5× 17 371
Asuka Kobayashi Japan 9 125 0.4× 139 0.8× 172 2.0× 54 0.7× 20 0.6× 15 359
Raagini Suresh United States 11 144 0.5× 41 0.2× 77 0.9× 108 1.3× 20 0.6× 17 390

Countries citing papers authored by Chih-Chi Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Chih-Chi Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih-Chi Kuo. 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 Chih-Chi Kuo. The network helps show where Chih-Chi Kuo may publish in the future.

Co-authorship network of co-authors of Chih-Chi Kuo

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

All Works

9 of 9 papers shown
1.
Kuo, Chih-Chi, Cheng-Wen Hsiao, Chaoyang Chen, et al.. (2019). A Novel Prognostic DNA Methylation Panel for Colorectal Cancer. International Journal of Molecular Sciences. 20(19). 4672–4672. 18 indexed citations
2.
Tsao, Chih‐Wei, et al.. (2019). Regulation of carcinogenesis and modulation through Wnt/β-catenin signaling by curcumin in an ovarian cancer cell line. Scientific Reports. 9(1). 17267–17267. 49 indexed citations
3.
Chou, Feng‐Cheng, Heng-Yi Chen, Chih-Chi Kuo, & Huey‐Kang Sytwu. (2018). Role of Galectins in Tumors and in Clinical Immunotherapy. International Journal of Molecular Sciences. 19(2). 430–430. 180 indexed citations
4.
Shih, Yu‐Lueng, Chih-Chi Kuo, Ming‐De Yan, et al.. (2016). Quantitative methylation analysis reveals distinct association between PAX6 methylation and clinical characteristics with different viral infections in hepatocellular carcinoma. Clinical Epigenetics. 8(1). 41–41. 12 indexed citations
5.
Kuo, Chih-Chi. (2015). Methylation ofIRAK3is a novel prognostic marker in hepatocellular carcinoma. World Journal of Gastroenterology. 21(13). 3960–3960. 14 indexed citations
6.
Chen, Ying‐Chieh, Chih-Chi Kuo, Mu-Hsien Yu, et al.. (2015). Quantitative DNA methylation analysis of selected genes in endometrial carcinogenesis. Taiwanese Journal of Obstetrics and Gynecology. 54(5). 572–579. 24 indexed citations
7.
Lin, Wen‐Chi, Ming‐De Yan, Hsin‐Jung Li, et al.. (2013). The role of Sp1 and EZH2 in the regulation of LMX1A in cervical cancer cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1833(12). 3206–3217. 17 indexed citations
8.
Chou, Feng‐Cheng, Chih-Chi Kuo, Aline Yen Ling Wang, et al.. (2013). Overexpression of Galectin-9 in Islets Prolongs Grafts Survival via Downregulation of Th1 Responses. Cell Transplantation. 22(11). 2135–2145. 29 indexed citations
9.
Yan, Ming‐De, Yu‐Lueng Shih, Chih-Chi Kuo, et al.. (2012). SOX1 functions as a tumor suppressor by antagonizing the WNT/β-catenin signaling pathway in hepatocellular carcinoma. Hepatology. 56(6). 2277–2287. 81 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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