Kuang-Tai Kuo

1.4k total citations
42 papers, 1.1k citations indexed

About

Kuang-Tai Kuo is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Kuang-Tai Kuo has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Cancer Research and 9 papers in Surgery. Recurrent topics in Kuang-Tai Kuo's work include Cancer Cells and Metastasis (5 papers), RNA modifications and cancer (4 papers) and MicroRNA in disease regulation (3 papers). Kuang-Tai Kuo is often cited by papers focused on Cancer Cells and Metastasis (5 papers), RNA modifications and cancer (4 papers) and MicroRNA in disease regulation (3 papers). Kuang-Tai Kuo collaborates with scholars based in Taiwan, Indonesia and United States. Kuang-Tai Kuo's co-authors include Chi‐Tai Yeh, Liang-Shun Wang, Chun‐Hua Wang, Oluwaseun Adebayo Bamodu, Wen-Chien Huang, Jo-Ting Tsai, Wei‐Hwa Lee, Vijesh Kumar Yadav, Kang-Yun Lee and Michael Hsiao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, International Journal of Molecular Sciences and Archives of Biochemistry and Biophysics.

In The Last Decade

Kuang-Tai Kuo

39 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuang-Tai Kuo Taiwan 22 544 302 279 218 162 42 1.1k
Xiaodong Xu China 18 645 1.2× 273 0.9× 260 0.9× 157 0.7× 91 0.6× 59 1.2k
Wenting Xu China 18 872 1.6× 424 1.4× 412 1.5× 206 0.9× 162 1.0× 46 1.6k
Tadashi Uwagawa Japan 17 521 1.0× 482 1.6× 363 1.3× 127 0.6× 158 1.0× 42 1.2k
Yingjie Jia China 17 454 0.8× 289 1.0× 265 0.9× 184 0.8× 54 0.3× 81 973
Yongqian Shu China 18 470 0.9× 403 1.3× 210 0.8× 274 1.3× 141 0.9× 42 1.1k
Runfa Bao China 22 815 1.5× 342 1.1× 510 1.8× 150 0.7× 310 1.9× 39 1.3k
Sun Young Yoon South Korea 18 816 1.5× 319 1.1× 295 1.1× 162 0.7× 77 0.5× 56 1.3k
Ki Beom Bae South Korea 20 526 1.0× 309 1.0× 142 0.5× 129 0.6× 243 1.5× 69 1.2k
Chong Li China 19 619 1.1× 211 0.7× 306 1.1× 117 0.5× 157 1.0× 46 1.1k

Countries citing papers authored by Kuang-Tai Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Kuang-Tai Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuang-Tai Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Kuang-Tai Kuo. A scholar is included among the top collaborators of Kuang-Tai 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 Kuang-Tai Kuo. Kuang-Tai Kuo 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, Ming‐Yao, et al.. (2025). Targeting FABP4/UCP2 axis to overcome cetuximab resistance in obesity-driven CRC with drug-tolerant persister cells. Translational Oncology. 53. 102274–102274. 4 indexed citations
3.
5.
Chen, Jui‐Tai, Juan P. Cata, Kuang-Tai Kuo, et al.. (2022). Spectral Entropy Monitoring Accelerates the Emergence from Sevoflurane Anesthesia in Thoracic Surgery: A Randomized Controlled Trial. Journal of Clinical Medicine. 11(6). 1631–1631. 5 indexed citations
6.
Lin, Yen‐Kuang, Chi‐Tai Yeh, Kuang-Tai Kuo, et al.. (2022). Apolipoprotein (a)/Lipoprotein(a)‐Induced Oxidative‐Inflammatory α7‐nAChR/p38 MAPK/IL‐6/RhoA‐GTP Signaling Axis and M1 Macrophage Polarization Modulate Inflammation‐Associated Development of Coronary Artery Spasm. Oxidative Medicine and Cellular Longevity. 2022(1). 9964689–9964689. 19 indexed citations
7.
Liu, Shao‐Cheng, Oluwaseun Adebayo Bamodu, Kuang-Tai Kuo, et al.. (2021). Adipose-derived stem cell induced-tissue repair or wound healing is mediated by the concomitant upregulation of miR-21 and miR-29b expression and activation of the AKT signaling pathway. Archives of Biochemistry and Biophysics. 705. 108895–108895. 20 indexed citations
8.
Yeh, Chi‐Tai, Tzu-Tao Chen, Chun‐Hua Wang, et al.. (2021). Bruton’s tyrosine kinase (BTK) mediates resistance to EGFR inhibition in non-small-cell lung carcinoma. Oncogenesis. 10(7). 56–56. 11 indexed citations
9.
Kuo, Kuang-Tai, et al.. (2021). Pseudomyocardial Infarction: An Atypical Presentation of Chest Wall Necrotizing Fasciitis. International Journal of Infectious Diseases. 114. 192–194.
10.
Huang, Wen-Chien, Kuang-Tai Kuo, Chun‐Hua Wang, Chi‐Tai Yeh, & Yongjie Wang. (2019). Cisplatin resistant lung cancer cells promoted M2 polarization of tumor-associated macrophages via the Src/CD155/MIF functional pathway. Journal of Experimental & Clinical Cancer Research. 38(1). 180–180. 76 indexed citations
11.
Chen, Jia‐Hong, Kuang-Tai Kuo, Oluwaseun Adebayo Bamodu, et al.. (2018). Upregulated SCUBE2 expression in breast cancer stem cells enhances triple negative breast cancer aggression through modulation of notch signaling and epithelial-to-mesenchymal transition. Experimental Cell Research. 370(2). 444–453. 23 indexed citations
12.
Lin, Chun‐Shu, Oluwaseun Adebayo Bamodu, Kuang-Tai Kuo, et al.. (2018). Investigation of ovatodiolide, a macrocyclic diterpenoid, as a potential inhibitor of oral cancer stem-like cells properties via the inhibition of the JAK2/STAT3/JARID1B signal circuit. Phytomedicine. 46. 93–103. 24 indexed citations
13.
Bamodu, Oluwaseun Adebayo, Kuang-Tai Kuo, Wei‐Hwa Lee, et al.. (2018). Downregulation of Cancer Stemness by Novel Diterpenoid Ovatodiolide Inhibits Hepatic Cancer Stem Cell-Like Traits by Repressing Wnt/β-Catenin Signaling. The American Journal of Chinese Medicine. 46(4). 891–910. 13 indexed citations
14.
Huang, Wen-Chien, Kuang-Tai Kuo, Oluwaseun Adebayo Bamodu, et al.. (2017). Garcinol inhibits cancer stem cell-like phenotype via suppression of the Wnt/β-catenin/STAT3 axis signalling pathway in human non-small cell lung carcinomas. The Journal of Nutritional Biochemistry. 54. 140–150. 41 indexed citations
15.
Chiu, Ching‐Feng, Yi-Wen Chang, Kuang-Tai Kuo, et al.. (2016). NF-κB–driven suppression of FOXO3a contributes to EGFR mutation-independent gefitinib resistance. Proceedings of the National Academy of Sciences. 113(18). E2526–35. 75 indexed citations
16.
Chen, Chi-Kuan, Kuo‐Tai Hua, Pei Yu, et al.. (2016). Glutaminase 2 stabilizes Dicer to repress Snail and metastasis in hepatocellular carcinoma cells. Cancer Letters. 383(2). 282–294. 41 indexed citations
17.
Chen, Wenliang, Kuang-Tai Kuo, Teh‐Ying Chou, et al.. (2012). The role of cytochrome c oxidase subunit Va in non-small cell lung carcinoma cells: association with migration, invasion and prediction of distant metastasis. BMC Cancer. 12(1). 273–273. 34 indexed citations
18.
Kuo, Kuang-Tai, Teh‐Ying Chou, Han‐Shui Hsu, Wenliang Chen, & Liang-Shun Wang. (2011). Prognostic Significance of NBS1 and Snail Expression in Esophageal Squamous Cell Carcinoma. Annals of Surgical Oncology. 19(S3). 549–557. 29 indexed citations
19.
Kuo, Kuang-Tai, et al.. (2004). Pulmonary Artery Sarcoma–A Case Report and Review of the Literature. 19(1). 44–49. 2 indexed citations
20.
Kuo, Kuang-Tai, et al.. (2003). Sclerosing hemangioma of the lung: an analysis of 44 cases.. PubMed. 66(1). 33–8. 22 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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