Taishin Kin

2.5k total citations
15 papers, 947 citations indexed

About

Taishin Kin is a scholar working on Molecular Biology, Cancer Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Taishin Kin has authored 15 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 3 papers in Cancer Research and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Taishin Kin's work include Genomics and Phylogenetic Studies (8 papers), RNA and protein synthesis mechanisms (7 papers) and RNA modifications and cancer (6 papers). Taishin Kin is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), RNA and protein synthesis mechanisms (7 papers) and RNA modifications and cancer (6 papers). Taishin Kin collaborates with scholars based in Japan and Germany. Taishin Kin's co-authors include Kiyoshi Asai, Yukiteru Ono, Hisanori Kiryu, Koji Tsuda, Yasuo Tabei, Yoshinori Kawamura, Kuniaki Saito, Mikiko C. Siomi, Haruhiko Siomi and Tomoko Okada and has published in prestigious journals such as Nature, Bioinformatics and Biochemical and Biophysical Research Communications.

In The Last Decade

Taishin Kin

15 papers receiving 925 citations

Peers

Taishin Kin
Taishin Kin
Citations per year, relative to Taishin Kin Taishin Kin (= 1×) peers Arthur Chun-Chieh Shih

Countries citing papers authored by Taishin Kin

Since Specialization
Citations

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

Fields of papers citing papers by Taishin Kin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taishin Kin

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

All Works

15 of 15 papers shown
1.
Tabei, Yasuo, Hisanori Kiryu, Taishin Kin, & Kiyoshi Asai. (2008). A fast structural multiple alignment method for long RNA sequences. BMC Bioinformatics. 9(1). 33–33. 92 indexed citations
2.
Kawamura, Yoshinori, Kuniaki Saito, Taishin Kin, et al.. (2008). Drosophila endogenous small RNAs bind to Argonaute 2 in somatic cells. Nature. 453(7196). 793–797. 355 indexed citations
3.
Terai, Goro, Takashi Komori, Kiyoshi Asai, & Taishin Kin. (2007). miRRim: A novel system to find conserved miRNAs with high sensitivity and specificity. RNA. 13(12). 2081–2090. 46 indexed citations
4.
Sasaki, Y., Miho Sano, Taishin Kin, Kiyoshi Asai, & Tetsuro Hirose. (2007). Coordinated expression of ncRNAs and HOX mRNAs in the human HOXA locus. Biochemical and Biophysical Research Communications. 357(3). 724–730. 29 indexed citations
5.
Kiryu, Hisanori, Taishin Kin, & Kiyoshi Asai. (2007). Rfold: an exact algorithm for computing local base pairing probabilities. Bioinformatics. 24(3). 367–373. 40 indexed citations
6.
Sasaki, Y., Miho Sano, Takashi Ideue, et al.. (2007). Identification and characterization of human non-coding RNAs with tissue-specific expression. Biochemical and Biophysical Research Communications. 357(4). 991–996. 28 indexed citations
7.
Kiryu, Hisanori, Yasuo Tabei, Taishin Kin, & Kiyoshi Asai. (2007). Murlet: a practical multiple alignment tool for structural RNA sequences. Bioinformatics. 23(13). 1588–1598. 58 indexed citations
8.
Kin, Taishin & Yukiteru Ono. (2007). Idiographica: a general-purpose web application to build idiograms on-demand for human, mouse and rat. Bioinformatics. 23(21). 2945–2946. 58 indexed citations
9.
Tabei, Yasuo, Koji Tsuda, Taishin Kin, & Kiyoshi Asai. (2006). SCARNA: fast and accurate structural alignment of RNA sequences by matching fixed-length stem fragments. Bioinformatics. 22(14). 1723–1729. 38 indexed citations
10.
Hamada, Michiaki, Koji Tsuda, Taku Kudo, Taishin Kin, & Kiyoshi Asai. (2006). Mining frequent stem patterns from unaligned RNA sequences. Bioinformatics. 22(20). 2480–2487. 34 indexed citations
11.
Kiryu, Hisanori, Taishin Kin, & Kiyoshi Asai. (2006). Robust prediction of consensus secondary structures using averaged base pairing probability matrices. Bioinformatics. 23(4). 434–441. 49 indexed citations
12.
Tsuda, Koji, et al.. (2004). Minimizing the Cross Validation Error to Mix Kernel Matrices of Heterogeneous Biological Data. Neural Processing Letters. 19(1). 63–72. 8 indexed citations
13.
Kin, Taishin, Tsuyoshi Kato, Koji Tsuda, & Kiyoshi Asai. (2003). Protein Classification via Kernel Matrix Completion. 14. 516–517. 2 indexed citations
14.
Kin, Taishin, Koji Tsuda, & Kiyoshi Asai. (2002). Marginalized kernels for RNA sequence data analysis.. PubMed. 13. 112–22. 14 indexed citations
15.
Tsuda, Koji, Taishin Kin, & Kiyoshi Asai. (2002). Marginalized kernels for biological sequences. Bioinformatics. 18(suppl_1). S268–S275. 96 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