Kane Tse

54.1k total citations · 1 hit paper
11 papers, 1.1k citations indexed

About

Kane Tse is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Kane Tse has authored 11 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Kane Tse's work include Cancer Genomics and Diagnostics (5 papers), Sarcoma Diagnosis and Treatment (2 papers) and Genomics and Rare Diseases (2 papers). Kane Tse is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Sarcoma Diagnosis and Treatment (2 papers) and Genomics and Rare Diseases (2 papers). Kane Tse collaborates with scholars based in Canada, United States and Hong Kong. Kane Tse's co-authors include Thomas Zeng, Kara Dolinski, Mark Schroeder, Anand Sethuraman, Catherine A. Ball, Laurie Issel‐Tarver, Dianna G. Fisk, David Botstein, Midori A. Harris and Gail Binkley and has published in prestigious journals such as Blood, Bioinformatics and PLoS ONE.

In The Last Decade

Kane Tse

11 papers receiving 1.1k citations

Hit Papers

Saccharomyces genome database 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kane Tse Canada 8 798 229 160 158 154 11 1.1k
Anna Vähärautio Finland 12 950 1.2× 368 1.6× 197 1.2× 224 1.4× 209 1.4× 18 1.5k
Lei Song United States 14 466 0.6× 288 1.3× 104 0.7× 82 0.5× 106 0.7× 41 849
Nils Weinhold United States 12 810 1.0× 384 1.7× 39 0.2× 45 0.3× 282 1.8× 19 1.2k
Maria Suntsova Russia 19 565 0.7× 220 1.0× 49 0.3× 48 0.3× 149 1.0× 61 931
Lilya V. Matyunina United States 23 1.0k 1.3× 522 2.3× 15 0.1× 124 0.8× 274 1.8× 33 1.4k
Thierry Lerouge France 13 629 0.8× 74 0.3× 13 0.1× 97 0.6× 114 0.7× 14 1.0k
Masakazu Sato Japan 15 450 0.6× 114 0.5× 34 0.2× 42 0.3× 152 1.0× 27 831
Junbai Wang Norway 21 845 1.1× 202 0.9× 7 0.0× 26 0.2× 125 0.8× 58 1.2k
Kristine L. Skele United States 7 658 0.8× 242 1.1× 5 0.0× 116 0.7× 283 1.8× 8 1.2k
Kenji Ohshima Japan 17 560 0.7× 187 0.8× 18 0.1× 17 0.1× 221 1.4× 38 1.3k

Countries citing papers authored by Kane Tse

Since Specialization
Citations

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

Fields of papers citing papers by Kane Tse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kane Tse

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

All Works

11 of 11 papers shown
1.
Moore, Richard A., Thomas Zeng, Roderick Docking, et al.. (2019). Sample Tracking Using Unique Sequence Controls. Journal of Molecular Diagnostics. 22(2). 141–146. 5 indexed citations
2.
Taylor, Gregory A., Heather Kirk, Lauren Coombe, et al.. (2018). The Genome of the North American Brown Bear or Grizzly: Ursus arctos ssp. horribilis. Genes. 9(12). 598–598. 25 indexed citations
3.
Wiseman, Sam M., Karen Mungall, Thomas Zeng, et al.. (2015). MEN1 Mutations in Hürthle Cell (Oncocytic) Thyroid Carcinoma. The Journal of Clinical Endocrinology & Metabolism. 100(4). E611–E615. 18 indexed citations
4.
Nguyen, Long, Maisam Makarem, Annaïck Carles, et al.. (2014). Clonal Analysis via Barcoding Reveals Diverse Growth and Differentiation of Transplanted Mouse and Human Mammary Stem Cells. Cell stem cell. 14(2). 253–263. 50 indexed citations
5.
Meissner, Barbara, Robert Kridel, Raymond S. Lim, et al.. (2013). The E3 ubiquitin ligase UBR5 is recurrently mutated in mantle cell lymphoma. Blood. 121(16). 3161–3164. 93 indexed citations
6.
McConechy, Melissa K., Jiarui Ding, Maggie C.U. Cheang, et al.. (2012). Use of mutation profiles to refine the classification of endometrial carcinomas. The Journal of Pathology. 228(1). 20–30. 246 indexed citations
8.
Castellarin, Mauro, Katy Milne, Thomas Zeng, et al.. (2012). Clonal evolution of high‐grade serous ovarian carcinoma from primary to recurrent disease. The Journal of Pathology. 229(4). 515–524. 73 indexed citations
9.
Crisan, Anamaria, Rodrigo Goya, Gavin Ha, et al.. (2012). Mutation Discovery in Regions of Segmental Cancer Genome Amplifications with CoNAn-SNV: A Mixture Model for Next Generation Sequencing of Tumors. PLoS ONE. 7(8). e41551–e41551. 4 indexed citations
10.
Ding, Jiarui, Ali Bashashati, Andrew Roth, et al.. (2011). Feature-based classifiers for somatic mutation detection in tumour–normal paired sequencing data. Bioinformatics. 28(2). 167–175. 85 indexed citations
11.
Issel‐Tarver, Laurie, Karen Christie, Kara Dolinski, et al.. (2002). Saccharomyces genome database. Methods in enzymology on CD-ROM/Methods in enzymology. 350. 329–346. 531 indexed citations breakdown →

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