Tomoya Kotani
- Molecular Biology top 10%
- Cell Biology top 5%
- Genetics top 10%
- Public Health, Environmental and Occupational Health top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Masakane YamashitaKoichi KawakamiAkihiro UrasakiKazuhide AsakawaMasahiko HibiMaximiliano L. SusterKanta MizusawaYasuyuki Kishimoto
- Topics
- RNA Research and Splicing (20 papers)Reproductive Biology and Fertility (11 papers)Medical Imaging Techniques and Applications (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- JapanUnited StatesCzechia
In The Last Decade
Tomoya Kotani
58 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 955
- Cell Biology 443
- Genetics 238
- Public Health, Environmental and Occupational Health 204
- Cellular and Molecular Neuroscience 201
Countries citing papers authored by Tomoya Kotani
This map shows the geographic impact of Tomoya Kotani'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 Tomoya Kotani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoya Kotani more than expected).
Fields of papers citing papers by Tomoya Kotani
This network shows the impact of papers produced by Tomoya Kotani. 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 Tomoya Kotani. The network helps show where Tomoya Kotani may publish in the future.
Co-authorship network of co-authors of Tomoya Kotani
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoya Kotani. A scholar is included among the top collaborators of Tomoya Kotani 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 Tomoya Kotani. Tomoya Kotani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 17 | |
| 4 | 6 | |
| 5 | 13 | |
| 6 | 13 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 27 | |
| 10 | 2 | |
| 11 | 22 | |
| 12 | 4 | |
| 13 | 19 | |
| 14 | 63 | |
| 15 | Intensive cultivation of a subtropical paracalanid copepod, Parvocalanus sp., as prey for small marine fish larvae(Abstracts of Research Report) | 3 |
| 16 | 4 | |
| 17 | 94 | |
| 18 | 38 | |
| 19 | 38 | |
| 20 | 2 |
About Tomoya Kotani
Tomoya Kotani is a scholar working on Physiology, Cell Biology and Molecular Biology, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (20 papers), Reproductive Biology and Fertility (11 papers) and Medical Imaging Techniques and Applications (6 papers). The work is most often cited by research in Cell Biology (443 citations), Physiology (68 citations) and Developmental Neuroscience (60 citations). Tomoya Kotani has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Masakane Yamashita, Koichi Kawakami, Akihiro Urasaki, Kazuhide Asakawa, Masahiko Hibi, Maximiliano L. Suster, Kanta Mizusawa, Yasuyuki Kishimoto, Kyota Yasuda and Akira Muto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
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.