Ka‐Po Tse

40 total papers · 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 Genetic Associations and Epidemiology (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 Genetic Associations and Epidemiology (1 paper). Ka‐Po Tse collaborates with scholars based in Taiwan, United States and China. Ka‐Po Tse's co-authors include Yu‐Sun Chang, Chia-Lung Tsai, Chi‐Neu Tsai, Hwan‐You Chang, John K. C. Chan, Suk-King Wan, Kai‐Ping Chang, Hsin‐Pai Li, Ying Liang and Jau‐Song Yu 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ka‐Po Tse	207	191	82	75	51	9	378
Omar López-Ocejo	123 0.6×	152 0.8×	109 1.3×	92 1.2×	19 0.4×	8	368
Kathrin Gärtner	214 1.0×	207 1.1×	122 1.5×	106 1.4×	77 1.5×	9	433
Yen-Jung Lu	177 0.9×	189 1.0×	56 0.7×	38 0.5×	34 0.7×	9	363
Tenny Mudianto	176 0.9×	193 1.0×	52 0.6×	108 1.4×	20 0.4×	9	399
M. H. Ng	213 1.0×	91 0.5×	72 0.9×	37 0.5×	67 1.3×	13	364
Q Zhang	346 1.7×	119 0.6×	37 0.5×	79 1.1×	100 2.0×	8	402
Kai Yau Wong	184 0.9×	139 0.7×	58 0.7×	44 0.6×	110 2.2×	12	345
Reba M. Knox	181 0.9×	82 0.4×	45 0.5×	157 2.1×	47 0.9×	11	425
D Bonifacio	98 0.5×	229 1.2×	145 1.8×	38 0.5×	23 0.5×	12	407
Claire Gourzonès	126 0.6×	235 1.2×	152 1.9×	76 1.0×	28 0.5×	12	373

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

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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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