Akio Kanai

5.3k total citations
86 papers, 2.2k citations indexed

About

Akio Kanai is a scholar working on Molecular Biology, Ecology and Cancer Research. According to data from OpenAlex, Akio Kanai has authored 86 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Molecular Biology, 21 papers in Ecology and 13 papers in Cancer Research. Recurrent topics in Akio Kanai's work include RNA and protein synthesis mechanisms (52 papers), RNA modifications and cancer (36 papers) and Genomics and Phylogenetic Studies (32 papers). Akio Kanai is often cited by papers focused on RNA and protein synthesis mechanisms (52 papers), RNA modifications and cancer (36 papers) and Genomics and Phylogenetic Studies (32 papers). Akio Kanai collaborates with scholars based in Japan, United States and Australia. Akio Kanai's co-authors include Masaru Tomita, Kosuke Fujishima, Junichi Sugahara, Yuka Watanabe, Nozomu Yachie, Shunji Natori, Koji Numata, Asako Sato, Takuro Nunoura and Michinori Kohara and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Akio Kanai

82 papers receiving 2.2k citations

Peers

Akio Kanai

ECOLO

GENET

Anton I. Petrov United States

Mark D. Driscoll United States

Joanna Argasinska United Kingdom

Lydia Steiner Germany

Ioanna Kalvari United Kingdom

John H. Leamon United States

Hongan Long China

Jiřı́ Jonák Czechia

A. Fawad Faruqi United States

Nikos B. Reppas United States

Anton I. Petrov United States

Akio Kanai

1.8k ×0.9

317 ×0.8

ECOLO

272 ×0.7

208 ×0.8

GENET

485 ×3.1

Citations per year, relative to Akio Kanai Akio Kanai (= 1×) peers Anton I. Petrov

Countries citing papers authored by Akio Kanai

Since Specialization

Citations

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

Fields of papers citing papers by Akio Kanai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akio Kanai

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

All Works

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20 of 20 papers shown

Nomaguchi, Masako, et al.. (2025). Possible Acquisition and Molecular Evolution of vpu Genes Inferred from Comprehensive Sequence Analysis of Human and Simian Immunodeficiency Viruses. Journal of Molecular Evolution. 93(4). 478–493.

Kawai, Gota, Kiyoshi Okada, Seiki Baba, et al.. (2024). Homo-trimeric structure of the ribonuclease for rRNA processing, FAU-1, from Pyrococcus furiosus. The Journal of Biochemistry. 175(6). 671–676. 2 indexed citations

Sato, Asako, et al.. (2023). Systematic Analysis of Diverse Polynucleotide Kinase Clp1 Family Proteins in Eukaryotes: Three Unique Clp1 Proteins of Trypanosoma brucei. Journal of Molecular Evolution. 91(5). 669–686. 1 indexed citations

Sawaki, Yusuke, et al.. (2020). Importance of Prokaryotes for the Origin of Eukaryotes and the Global Environment at 2.4-2.0 Ga. Journal of Geography (Chigaku Zasshi). 129(6). 899–912.

Sato, Asako, et al.. (2019). Large-Scale Molecular Evolutionary Analysis Uncovers a Variety of Polynucleotide Kinase Clp1 Family Proteins in the Three Domains of Life. Genome Biology and Evolution. 11(10). 2713–2726. 5 indexed citations

Tomita, Masaru, et al.. (2015). Precise mapping and dynamics of tRNA-derived fragments (tRFs) in the development of Triops cancriformis (tadpole shrimp). BMC Genetics. 16(1). 83–83. 20 indexed citations

Sugahara, Junichi, Kosuke Fujishima, Takuro Nunoura, et al.. (2012). Genomic Heterogeneity in a Natural Archaeal Population Suggests a Model of tRNA Gene Disruption. PLoS ONE. 7(3). e32504–e32504. 8 indexed citations

Hamashima, Kiyofumi, Kosuke Fujishima, Takeshi Masuda, et al.. (2011). Nematode-specific tRNAs that decode an alternative genetic code for leucine. Nucleic Acids Research. 40(8). 3653–3662. 14 indexed citations

Fujishima, Kosuke, Junichi Sugahara, Christopher S. Miller, et al.. (2011). A novel three-unit tRNA splicing endonuclease found in ultrasmall Archaea possesses broad substrate specificity. Nucleic Acids Research. 39(22). 9695–9704. 26 indexed citations

10.

Numata, Koji, Yuki Okada, Rintaro Saito, et al.. (2009). Identification of novel endogenous antisense transcripts by DNA microarray analysis targeting complementary strand of annotated genes. BMC Genomics. 10(1). 392–392. 12 indexed citations

11.

Kanai, Akio, Asako Sato, Y. Fukuda, et al.. (2009). Characterization of a heat-stable enzyme possessing GTP-dependent RNA ligase activity from a hyperthermophilic archaeon,Pyrococcus furiosus. RNA. 15(3). 420–431. 17 indexed citations

12.

Okada, Yuki, Colleen Tashiro, Koji Numata, et al.. (2008). Comparative expression analysis uncovers novel features of endogenous antisense transcription. Human Molecular Genetics. 17(11). 1631–1640. 41 indexed citations

13.

Soma, Akiko, Junichi Sugahara, Akio Kanai, et al.. (2007). Permuted tRNA Genes Expressed via a Circular RNA Intermediate in Cyanidioschyzon merolae. Science. 318(5849). 450–453. 87 indexed citations

14.

Watanabe, Yuka, Masaru Tomita, & Akio Kanai. (2007). Computational Methods for MicroRNA Target Prediction. Methods in enzymology on CD-ROM/Methods in enzymology. 65–86. 86 indexed citations

15.

Tomita, Masaru, et al.. (2007). Evolution of ribonuclease H genes in prokaryotes to avoid inheritance of redundant genes. BMC Evolutionary Biology. 7(1). 128–128. 36 indexed citations

16.

Yachie, Nozomu, Koji Numata, Rintaro Saito, Akio Kanai, & Masaru Tomita. (2003). Identification of Non-Coding RNAs in the Escherichia coli Genome Using Sequence Specificity Index (SSI). Proceedings Genome Informatics Workshop/Genome informatics. 14. 448–449. 1 indexed citations

17.

Fujishima, Kosuke, et al.. (2003). A New Method for Characterizing Functionally-Unknown Proteins Using Specific Amino Acid Frequency and Periodicity at the Proteome Level. Proceedings Genome Informatics Workshop/Genome informatics. 14. 526–527.

18.

Numata, Koji, Akio Kanai, Rintaro Saito, et al.. (2003). Identification of Putative Noncoding RNAs Among the RIKEN Mouse Full-Length cDNA Collection. Genome Research. 13(6b). 1301–1306. 118 indexed citations

19.

Saito, Rintaro, et al.. (2003). Computational analysis of stop codon readthrough in D.melanogaster. Bioinformatics. 19(11). 1371–1380. 16 indexed citations

20.

Kanai, Akio, Takashi Kuzuhara, Kazuhisa Sekimizu, & Shunji Natori. (1991). Heterogeneity and Tissue-Specific Expression of Eukaryotic Transcription Factor S-II-Related Protein mRNA1. The Journal of Biochemistry. 109(5). 674–677. 30 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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