Toshiaki Katayama

4.2k total citations · 1 hit paper
46 papers, 2.1k citations indexed

About

Toshiaki Katayama is a scholar working on Molecular Biology, Information Systems and Management and Ecology. According to data from OpenAlex, Toshiaki Katayama has authored 46 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 7 papers in Information Systems and Management and 4 papers in Ecology. Recurrent topics in Toshiaki Katayama's work include Genomics and Phylogenetic Studies (28 papers), Biomedical Text Mining and Ontologies (13 papers) and Bioinformatics and Genomic Networks (10 papers). Toshiaki Katayama is often cited by papers focused on Genomics and Phylogenetic Studies (28 papers), Biomedical Text Mining and Ontologies (13 papers) and Bioinformatics and Genomic Networks (10 papers). Toshiaki Katayama collaborates with scholars based in Japan, United States and Spain. Toshiaki Katayama's co-authors include Minoru Kanehisa, Shuichi Kawashima, Andrzej Koliński, Piotr Pokarowski, Masumi Itoh, Shujiro Okuda, Takuji Yamada, Susumu Goto, Peer Bork and Mitsuteru Nakao and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Toshiaki Katayama

43 papers receiving 2.1k citations

Hit Papers

AAindex: amino acid index database, progress report 2008 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toshiaki Katayama Japan 17 1.6k 239 182 177 167 46 2.1k
Mónica Chagoyen Spain 21 1.5k 0.9× 152 0.6× 113 0.6× 99 0.6× 117 0.7× 56 2.2k
Bing Xia China 16 1.5k 0.9× 121 0.5× 57 0.3× 72 0.4× 253 1.5× 31 2.2k
Michele Magrane United Kingdom 14 1.7k 1.0× 42 0.2× 55 0.3× 175 1.0× 163 1.0× 21 2.2k
Jaap Heringa Netherlands 33 2.9k 1.8× 137 0.6× 55 0.3× 215 1.2× 207 1.2× 103 3.7k
Andreas Hauser Germany 10 1.6k 1.0× 42 0.2× 56 0.3× 226 1.3× 173 1.0× 16 2.1k
Sébastien Moretti Switzerland 16 1.6k 1.0× 111 0.5× 45 0.2× 217 1.2× 63 0.4× 28 2.3k
Kentaro Tomii Japan 27 2.9k 1.8× 141 0.6× 70 0.4× 302 1.7× 530 3.2× 77 3.9k
Nomi L. Harris United States 18 1.7k 1.1× 88 0.4× 52 0.3× 102 0.6× 63 0.4× 44 2.4k
Mahmut Uludağ Saudi Arabia 10 1.5k 1.0× 92 0.4× 47 0.3× 241 1.4× 51 0.3× 24 2.4k
Brigitte Boeckmann Switzerland 7 2.6k 1.7× 78 0.3× 70 0.4× 229 1.3× 127 0.8× 7 3.3k

Countries citing papers authored by Toshiaki Katayama

Since Specialization
Citations

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

Fields of papers citing papers by Toshiaki Katayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshiaki Katayama

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

All Works

20 of 20 papers shown
1.
Bekker, Gert‐Jan, Chioko Nagao, Matsuyuki Shirota, et al.. (2025). Protein Data Bank Japan: Improved tools for sequence‐oriented analysis of protein structures. Protein Science. 34(3). e70052–e70052. 4 indexed citations
2.
3.
Aoki‐Kinoshita, Kiyoko F., Hirokazu Chiba, Susumu Goto, et al.. (2025). Expanding the concept of ID conversion in TogoID by introducing multi-semantic and label features. Journal of Biomedical Semantics. 16(1). 1–1.
4.
Bekker, Gert‐Jan, Chioko Nagao, Matsuyuki Shirota, et al.. (2025). Protein Data Bank Japan: Computational Resources for Analysis of Protein Structures. Journal of Molecular Biology. 437(15). 169013–169013. 5 indexed citations
5.
Tanaka, Tatsuya, Toshiaki Katayama, & Takeshi Imai. (2024). Predicting the effects of drugs and unveiling their mechanisms of action using an interpretable pharmacodynamic mechanism knowledge graph (IPM-KG). Computers in Biology and Medicine. 184. 109419–109419. 4 indexed citations
6.
Nakagawa, So, Toshiaki Katayama, Lihua Jin, et al.. (2023). SARS-CoV-2 HaploGraph: visualization of SARS-CoV-2 haplotype spread in Japan. Genes & Genetic Systems. 98(5). 221–237. 2 indexed citations
7.
Ono, Hiromasa, Tazro Ohta, Hirokazu Chiba, et al.. (2022). TogoID: an exploratory ID converter to bridge biological datasets. Bioinformatics. 38(17). 4194–4199. 6 indexed citations
8.
Mashima, Jun, Yuichi Kodama, Takatomo Fujisawa, et al.. (2016). DNA Data Bank of Japan. Nucleic Acids Research. 45(D1). D25–D31. 55 indexed citations
9.
Aoki‐Kinoshita, Kiyoko F., Akira R. Kinjo, Mizuki Morita, et al.. (2015). Implementation of linked data in the life sciences at BioHackathon 2011. Journal of Biomedical Semantics. 6(1). 3–3. 14 indexed citations
10.
Katayama, Toshiaki. (2014). D3SPARQL: JavaScript Library for Visualization of SPARQL Results.. CEUR Workshop Proceedings. 1320. 1 indexed citations
11.
Kawano, Shin, et al.. (2014). TogoTable: cross-database annotation system using the Resource Description Framework (RDF) data model. Nucleic Acids Research. 42(W1). W442–W448. 5 indexed citations
12.
Katayama, Toshiaki & Atsuko Yamaguchi. (2012). BioHackathon 2012 report. Journal of Information Processing and Management. 55(8). 606–610. 1 indexed citations
13.
Mishima, Hiroyuki, Jan Aerts, Toshiaki Katayama, Raoul J.P. Bonnal, & Koh-ichiro Yoshiura. (2012). The Ruby UCSC API: accessing the UCSC genome database using Ruby. BMC Bioinformatics. 13(1). 240–240. 2 indexed citations
14.
Yamanishi, Yoshihiro, Akiyasu C. Yoshizawa, Masumi Itoh, Toshiaki Katayama, & Minoru Kanehisa. (2003). Extraction of Organism Groups from Whole Genome Comparisons. Proceedings Genome Informatics Workshop/Genome informatics. 14. 438–439. 3 indexed citations
15.
Limviphuvadh, Vachiranee, Yasushi Okuno, Toshiaki Katayama, et al.. (2003). Metabolic Pathway Reconstruction for Malaria Parasite Plasmodium falciparum. Proceedings Genome Informatics Workshop/Genome informatics. 14. 368–369. 1 indexed citations
16.
Kawashima, Shuichi, Toshiaki Katayama, Yoko Sato, & Minoru Kanehisa. (2003). KEGG API: A Web Service Using SOAP/WSDL to Access the KEGG System. Proceedings Genome Informatics Workshop/Genome informatics. 14(14). 673–674. 25 indexed citations
17.
Goto, N., et al.. (2003). BioRuby: Open-Source Bioinformatics Library. Proceedings Genome Informatics Workshop/Genome informatics. 14(14). 629–630. 7 indexed citations
18.
Katayama, Toshiaki, et al.. (2003). Classification of Protein Sequences into Paralog and Ortholog Clusters Using Sequence Similarity Profiles of KEGG/SSDB. Proceedings Genome Informatics Workshop/Genome informatics. 14(14). 528–530. 2 indexed citations
19.
Katayama, Toshiaki, Shinobu Okamoto, Rei Narikawa, et al.. (2002). Comprehensive Analysis of Tandem Repeat Sequences in Cyanobacteria Genome. Proceedings Genome Informatics Workshop/Genome informatics. 13(13). 400–401. 3 indexed citations
20.
Katayama, Toshiaki, et al.. (2002). BioRuby: Object Oriented Open Source Library for Bioinformatics. Proceedings Genome Informatics Workshop/Genome informatics. 13. 248–249. 1 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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