Ching‐Ying Kuo

1.1k total citations
33 papers, 688 citations indexed

About

Ching‐Ying Kuo is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ching‐Ying Kuo has authored 33 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Ching‐Ying Kuo's work include DNA Repair Mechanisms (8 papers), Cancer-related Molecular Pathways (5 papers) and Cancer, Hypoxia, and Metabolism (5 papers). Ching‐Ying Kuo is often cited by papers focused on DNA Repair Mechanisms (8 papers), Cancer-related Molecular Pathways (5 papers) and Cancer, Hypoxia, and Metabolism (5 papers). Ching‐Ying Kuo collaborates with scholars based in Taiwan, United States and Hungary. Ching‐Ying Kuo's co-authors include David K. Ann, Jeremy M. Stark, Hui‐Chun Wang, Chun-Ting Cheng, Yiyin Chung, Hsiu-Ming Shih, Hsiu‐Ming Shih, Fang‐Rong Chang, Chin‐Chung Wu and Hsing-Jien Kung and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Ching‐Ying Kuo

31 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ching‐Ying Kuo Taiwan 15 471 208 129 52 43 33 688
Santiago Díaz‐Moralli Spain 10 445 0.9× 222 1.1× 139 1.1× 37 0.7× 46 1.1× 11 679
Esha Madan United States 18 484 1.0× 268 1.3× 245 1.9× 58 1.1× 34 0.8× 28 808
Chuangyu Wen China 18 506 1.1× 279 1.3× 113 0.9× 42 0.8× 30 0.7× 34 752
Murali K. Akula Sweden 7 489 1.0× 182 0.9× 101 0.8× 47 0.9× 66 1.5× 10 748
Gang Hu China 16 769 1.6× 142 0.7× 169 1.3× 82 1.6× 67 1.6× 24 1.0k
Xiaoyan Shi China 16 333 0.7× 156 0.8× 83 0.6× 45 0.9× 22 0.5× 34 587
Xundi Xu China 13 424 0.9× 206 1.0× 130 1.0× 63 1.2× 19 0.4× 31 718
Yingze Wei China 15 376 0.8× 142 0.7× 98 0.8× 51 1.0× 23 0.5× 24 574
Yuxin Zhou China 17 584 1.2× 236 1.1× 97 0.8× 87 1.7× 46 1.1× 41 831

Countries citing papers authored by Ching‐Ying Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Ying Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ching‐Ying Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Ying Kuo. A scholar is included among the top collaborators of Ching‐Ying 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 Ching‐Ying Kuo. Ching‐Ying 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.
Yao, Chi‐Yuan, Li‐Tan Yang, Masaaki Takeuchi, et al.. (2025). Clonal Hematopoiesis Is Associated With Adverse Clinical Outcomes and Left Ventricular Remodeling in Aortic Stenosis. JACC Advances. 4(2). 101532–101532. 1 indexed citations
2.
Chen, Jenny Ling‐Yu, et al.. (2025). Lymphopenia, IL6, and CCL2 after thoracic radiotherapy predict poor prognosis in patients with lung cancer. Journal of the Formosan Medical Association.
3.
Ann, David K., et al.. (2023). Obesity promotes radioresistance through SERPINE1-mediated aggressiveness and DNA repair of triple-negative breast cancer. Cell Death and Disease. 14(1). 53–53. 30 indexed citations
4.
Lin, Neng‐Yu, Jian‐Jr Lee, Syue‐Ting Chen, et al.. (2023). Truncation of GalNAc-type O-glycans Suppresses CD44-mediated Osteoclastogenesis and Bone Metastasis in Breast Cancer. Molecular Cancer Research. 21(7). 664–674. 6 indexed citations
5.
Chen, Jenny Ling‐Yu, Chao‐Yuan Huang, I‐Lun Shih, et al.. (2023). Prognostic nutritional index and neutrophil-lymphocyte ratio predict toxicities and prognosis in patients with cervical cancer treated with curative radiochemotherapy. Journal of the Formosan Medical Association. 123(6). 671–678. 12 indexed citations
6.
Chen, Cheng‐Chang, Einar Krogsaeter, Ching‐Ying Kuo, et al.. (2022). Endolysosomal cation channels point the way towards precision medicine of cancer and infectious diseases. Biomedicine & Pharmacotherapy. 148. 112751–112751. 12 indexed citations
7.
Kuo, Ching‐Ying, et al.. (2019). Ethanol Extracts of Dietary Herb, Alpinia nantoensis, Exhibit Anticancer Potential in Human Breast Cancer Cells. Integrative Cancer Therapies. 18. 1871085356–1871085356. 11 indexed citations
8.
9.
Mernyák, Erzsébet, János Wölfling, Gyula Schneider, et al.. (2018). Antiproliferative and antimetastatic properties of 3-benzyloxy-16-hydroxymethylene-estradiol analogs against breast cancer cell lines. European Journal of Pharmaceutical Sciences. 123. 362–370. 8 indexed citations
10.
Kuo, Ching‐Ying, Zsuzsanna Schelz, Barbara Tóth, et al.. (2018). Investigation of natural phenanthrenes and the antiproliferative potential of juncusol in cervical cancer cell lines. Phytomedicine. 58. 152770–152770. 14 indexed citations
11.
Ötvös, Sándor B., et al.. (2017). Synthesis of Nontoxic Protoflavone Derivatives through Selective Continuous‐Flow Hydrogenation of the Flavonoid B‐Ring. ChemPlusChem. 83(2). 72–76. 1 indexed citations
12.
Cheng, Chun-Ting, Ching‐Ying Kuo, Ching Ouyang, et al.. (2016). Metabolic Stress-Induced Phosphorylation of KAP1 Ser473 Blocks Mitochondrial Fusion in Breast Cancer Cells. Cancer Research. 76(17). 5006–5018. 54 indexed citations
13.
Kuo, Ching‐Ying, István Zupkó, Fang‐Rong Chang, et al.. (2016). Dietary flavonoid derivatives enhance chemotherapeutic effect by inhibiting the DNA damage response pathway. Toxicology and Applied Pharmacology. 311. 99–105. 14 indexed citations
14.
Kuo, Ching‐Ying, Xu Li, Jeremy M. Stark, Hsiu-Ming Shih, & David K. Ann. (2016). RNF4 regulates DNA double-strand break repair in a cell cycle-dependent manner. Cell Cycle. 15(6). 787–798. 23 indexed citations
15.
16.
Kuo, Ching‐Ying, et al.. (2014). Intermediary Metabolite Precursor Dimethyl-2-Ketoglutarate Stabilizes Hypoxia-Inducible Factor-1α by Inhibiting Prolyl-4-Hydroxylase PHD2. PLoS ONE. 9(11). e113865–e113865. 32 indexed citations
17.
Kuo, Ching‐Ying, et al.. (2013). HP1 promotes tumor suppressor BRCA1 functions during the DNA damage response. Nucleic Acids Research. 41(11). 5784–5798. 76 indexed citations
18.
Kuo, Ching‐Ying, Christine Shieh, Fei Cai, & David K. Ann. (2012). Coordinate to Guard: Crosstalk of Phosphorylation, Sumoylation, and Ubiquitylation in DNA Damage Response. SHILAP Revista de lepidopterología. 1. 61–61. 4 indexed citations
19.
Chen, Chia‐Lin, Jing Chai, Ching‐Ying Kuo, et al.. (2011). Characterization of an In Vitro Differentiation Assay for Pancreatic-Like Cell Development from Murine Embryonic Stem Cells: Detailed Gene Expression Analysis. Assay and Drug Development Technologies. 9(4). 403–419. 19 indexed citations
20.
Lin, H. Helen, Ching‐Ying Kuo, Hsiu-Ming Shih, et al.. (2011). High-Mobility Group A2 Protein Modulates hTERT Transcription To Promote Tumorigenesis. Molecular and Cellular Biology. 31(13). 2605–2617. 43 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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