Toshiaki Katayama

4.2k citations
46 papers · 2.1k indexed · 1 hit paper · h-index 17
Topics
Genomics and Phylogenetic Studies (28 papers)Biomedical Text Mining and Ontologies (13 papers)Bioinformatics and Genomic Networks (10 papers)
Partner nations
JapanUnited StatesSpain

In The Last Decade

Toshiaki Katayama

43 papers receiving 2.1k citations

Hit Papers

AAindex: amino acid index database, progress report 200820072026201320192007250500750

Peers

Toshiaki Katayama
Comparison fields: 5 of 126
  • Molecular Biology 1.6k
  • Ecology, Evolution, Behavior and Systematics 239
  • Physiology 182
  • Ecology 177
  • Computational Theory and Mathematics 167
Replace Jaap Heringa with:
Jaap Heringa Netherlands
Brigitte Boeckmann Switzerland
Lorenzo Cerutti Switzerland
Mónica Chagoyen Spain
Alan Bridge Switzerland
Aalt D. J. van Dijk Netherlands
Rachael P. Huntley United Kingdom
Mahmut Uludağ Saudi Arabia
Michele Magrane United Kingdom
Bing Xia China
Toshiaki Katayama relative to Jaap Heringa Netherlands Jaap Heringa's profile →
Citations per field
00.5×3.3×
Jaap Heringa · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 5
4 0
5 4
6 6
7 55
8
D3SPARQL: JavaScript Library for Visualization of SPARQL Results.
1
9 53
10 47
11 60
12 1
13 2
14 7
15 25
16 3
17 2
18 1
19 1
20 3

About Toshiaki Katayama

Toshiaki Katayama is a scholar working on Information Systems and Management, Molecular Biology and Biophysics, having authored 46 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (28 papers), Biomedical Text Mining and Ontologies (13 papers) and Bioinformatics and Genomic Networks (10 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Ecology, Evolution, Behavior and Systematics (239 citations) and Microbiology (69 citations). Toshiaki Katayama has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Minoru Kanehisa, Shuichi Kawashima, Piotr Pokarowski, Andrzej Koliński, Masumi Itoh, Shujiro Okuda, Takuji Yamada, Susumu Goto, Peer Bork and Mitsuteru Nakao. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

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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