Kousuke Tashiro
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Gene expression and cancer classification
- TGF-β signaling in diseases
Papers in
-
- Bioinformatics and Genomic Networks 11
- Gene expression and cancer classification 9
- Gene Regulatory Network Analysis 8
- Genomics and Phylogenetic Studies 5
- Ecology 5
- Bacteriophages and microbial interactions 4
- Co-authors
- Satoru Kuhara (17 shared papers)Satoru Miyano (11 shared papers)Seiya Imoto (9 shared papers)Takao Goto (2 shared papers)Yoshinori Tamada (6 shared papers)Hideo Bannai (2 shared papers)Sachiyo Aburatani (3 shared papers)Tomoyuki Higuchi (1 shared paper)
- Journals
- Proceedings Genome Informatics Workshop/Genome informatics (3 papers)Journal of Bioinformatics and Computational Biology (3 papers)Cancer (1 paper)Scientific Reports (1 paper)Bioinformatics (1 paper)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Kousuke Tashiro
29 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 114
- Endocrinology 107
- Molecular Biology 692
- Infectious Diseases 126
- Cancer Research 61
- Oncology 96
Countries citing papers authored by Kousuke Tashiro
This map shows the geographic impact of Kousuke Tashiro'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 Kousuke Tashiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kousuke Tashiro more than expected).
Fields of papers citing papers by Kousuke Tashiro
This network shows the impact of papers produced by Kousuke Tashiro. 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 Kousuke Tashiro. The network helps show where Kousuke Tashiro may publish in the future.
Co-authors
The 25 scholars most cited alongside Kousuke Tashiro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 135 | |
| 2 | 2004 | 129 | |
| 3 | 2004 | 103 | |
| 4 | 2003 | 95 | |
| 5 | 2014 | 92 | |
| 6 | 2007 | 83 | |
| 7 | 2009 | 61 | |
| 8 | 2006 | 43 | |
| 9 | 2007 | 34 | |
| 10 | 2011 | 32 | |
| 11 | 2009 | 29 | |
| 12 | 2013 | 23 | |
| 13 | 1983 | 23 | |
| 14 | 2003 | 20 | |
| 15 | 2004 | 19 | |
| 16 | 2011 | 19 | |
| 17 | 1983 | 18 | |
| 18 | 2002 | 16 | |
| 19 | 2005 | 12 | |
| 20 | 2008 | 11 |
About Kousuke Tashiro
Kousuke Tashiro is a scholar working on Molecular Biology, Ecology, Genetics, Infectious Diseases and Endocrinology, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (9 papers), Gene Regulatory Network Analysis (8 papers), Genomics and Phylogenetic Studies (5 papers), Bacteriophages and microbial interactions (4 papers), Computational Drug Discovery Methods (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Escherichia coli research studies (2 papers). The work is most often cited by research in Endocrinology (107 citations), Molecular Biology (692 citations), Infectious Diseases (126 citations), Cancer Research (61 citations) and Oncology (96 citations). Kousuke Tashiro has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Satoru Kuhara, Satoru Miyano, Seiya Imoto, Takao Goto, Yoshinori Tamada, Hideo Bannai, Sachiyo Aburatani, Tomoyuki Higuchi, Sunyong Kim and Tatsuya Yamada. Their work appears in journals such as Proceedings Genome Informatics Workshop/Genome informatics, Journal of Bioinformatics and Computational Biology, Cancer, Scientific Reports and Bioinformatics.
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.