Ka‐Po Tse

540 total citations
9 papers, 378 citations indexed

About

Ka‐Po Tse is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Ka‐Po Tse has authored 9 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Ka‐Po Tse's work include Viral-associated cancers and disorders (4 papers), Cancer-related molecular mechanisms research (2 papers) and Galectins and Cancer Biology (1 paper). Ka‐Po Tse is often cited by papers focused on Viral-associated cancers and disorders (4 papers), Cancer-related molecular mechanisms research (2 papers) and Galectins and Cancer Biology (1 paper). Ka‐Po Tse collaborates with scholars based in Taiwan, China and United States. Ka‐Po Tse's co-authors include Yu‐Sun Chang, Chi‐Neu Tsai, Chia-Lung Tsai, Hwan‐You Chang, John K. C. Chan, Suk-King Wan, Kai‐Ping Chang, Chuen Hsueh, Ying Liang and Sheng‐Po Hao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Ka‐Po Tse

9 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ka‐Po Tse Taiwan 6 208 191 82 75 51 9 378
Makiko Moriyama‐Kita Japan 12 161 0.8× 172 0.9× 105 1.3× 62 0.8× 34 0.7× 28 353
Omar López-Ocejo Cuba 7 123 0.6× 151 0.8× 109 1.3× 92 1.2× 19 0.4× 8 367
Yen-Jung Lu Taiwan 7 178 0.9× 189 1.0× 56 0.7× 38 0.5× 34 0.7× 9 365
Christina A. Marsh United States 6 141 0.7× 214 1.1× 57 0.7× 36 0.5× 19 0.4× 7 331
Claire Gourzonès France 10 127 0.6× 235 1.2× 152 1.9× 76 1.0× 29 0.6× 12 374
M. H. Ng Hong Kong 10 213 1.0× 91 0.5× 72 0.9× 37 0.5× 67 1.3× 13 366
Xi‐Zhao Li China 11 159 0.8× 133 0.7× 69 0.8× 31 0.4× 34 0.7× 26 320
Hongzan Ji China 7 154 0.7× 117 0.6× 73 0.9× 141 1.9× 16 0.3× 9 420
Nathalie Forey France 11 66 0.3× 223 1.2× 159 1.9× 47 0.6× 54 1.1× 15 409
Eduardo Breda Portugal 12 184 0.9× 80 0.4× 62 0.8× 27 0.4× 26 0.5× 31 331

Countries citing papers authored by Ka‐Po Tse

Since Specialization
Citations

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

Fields of papers citing papers by Ka‐Po Tse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ka‐Po Tse. 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 Ka‐Po Tse. The network helps show where Ka‐Po Tse may publish in the future.

Co-authorship network of co-authors of Ka‐Po Tse

This figure shows the co-authorship network connecting the top 25 collaborators of Ka‐Po Tse. A scholar is included among the top collaborators of Ka‐Po Tse 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 Ka‐Po Tse. Ka‐Po Tse 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.
Huang, Chung‐Yu, Kien Thiam Tan, Shiu-Feng Huang, et al.. (2024). Study of sex-biased differences in genomic profiles in East Asian hepatocellular carcinoma. Discover Oncology. 15(1). 276–276. 1 indexed citations
2.
Chen, Shang‐Hung, Ka‐Po Tse, Yen‐Jung Lu, et al.. (2024). Comprehensive genomic profiling and therapeutic implications for Taiwanese patients with treatment‐naïve breast cancer. Cancer Medicine. 13(12). e7384–e7384. 2 indexed citations
3.
Li, Chien‐Feng, et al.. (2022). Performance and clinical utility of homologous recombination deficiency (HRD) determined by genome-wide loss of heterozygosity (LOH).. Journal of Clinical Oncology. 40(16_suppl). e15025–e15025. 3 indexed citations
4.
Cho, William C., Ka‐Po Tse, Roger KC Ngan, et al.. (2020). Genomic characterization reveals potential biomarkers in nasopharyngeal carcinoma patients with relapse. Expert Review of Molecular Diagnostics. 20(11). 1149–1159. 7 indexed citations
5.
Hsu, Wan‐Lun, Ka‐Po Tse, Sharon X. Liang, et al.. (2012). Evaluation of Human Leukocyte Antigen-A (HLA-A), Other Non-HLA Markers on Chromosome 6p21 and Risk of Nasopharyngeal Carcinoma. PLoS ONE. 7(8). e42767–e42767. 35 indexed citations
6.
Tse, Ka‐Po, Chi‐Sheng Wu, Chuen Hsueh, et al.. (2012). The relationship between secretory leukocyte protease inhibitor expression and Epstein-Barr virus status among patients with nasopharyngeal carcinoma.. PubMed. 32(4). 1299–307. 6 indexed citations
7.
Tse, Ka‐Po, Hsin‐Pai Li, Ying Liang, et al.. (2007). MCP-1 Promoter Polymorphism at −2518 Is Associated with Metastasis of Nasopharyngeal Carcinoma after Treatment. Clinical Cancer Research. 13(21). 6320–6326. 50 indexed citations
8.
Tsai, Chi‐Neu, Chia-Lung Tsai, Ka‐Po Tse, Hwan‐You Chang, & Yu‐Sun Chang. (2002). The Epstein–Barr virus oncogene product, latent membrane protein 1, induces the downregulation of E-cadherin gene expression via activation of DNA methyltransferases. Proceedings of the National Academy of Sciences. 99(15). 10084–10089. 246 indexed citations
9.
Wan, Suk-King, John K. C. Chan, & Ka‐Po Tse. (1992). Basaloid-squamous carcinoma of the nasal cavity. The Journal of Laryngology & Otology. 106(4). 370–371. 28 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026