Yoshimitsu Kakuta
- Molecular Biology top 5%
- Genetics top 5%
- Cell Biology top 2%
- Organic Chemistry top 5%
- Health, Toxicology and Mutagenesis top 5%
- Co-authors
- Masahiko NegishiLars C. PedersenMakoto KimuraKeiichi FukuyamaLee G. PedersenIsao TanakaTakamasa TeramotoEvgeniy V. Petrotchenko
- Topics
- RNA and protein synthesis mechanisms (27 papers)Enzyme Structure and Function (17 papers)Glycosylation and Glycoproteins Research (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Yoshimitsu Kakuta
108 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 2.2k
- Genetics 537
- Cell Biology 514
- Organic Chemistry 461
- Health, Toxicology and Mutagenesis 281
Countries citing papers authored by Yoshimitsu Kakuta
This map shows the geographic impact of Yoshimitsu Kakuta'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 Yoshimitsu Kakuta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshimitsu Kakuta more than expected).
Fields of papers citing papers by Yoshimitsu Kakuta
This network shows the impact of papers produced by Yoshimitsu Kakuta. 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 Yoshimitsu Kakuta. The network helps show where Yoshimitsu Kakuta may publish in the future.
Co-authorship network of co-authors of Yoshimitsu Kakuta
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshimitsu Kakuta. A scholar is included among the top collaborators of Yoshimitsu Kakuta 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 Yoshimitsu Kakuta. Yoshimitsu Kakuta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 14 | |
| 12 | 24 | |
| 13 | 8 | |
| 14 | 15 | |
| 15 | 20 | |
| 16 | 1 | |
| 17 | 32 | |
| 18 | 2 | |
| 19 | 32 | |
| 20 | 73 |
About Yoshimitsu Kakuta
Yoshimitsu Kakuta is a scholar working on Molecular Biology, Cell Biology and Biotechnology, having authored 113 papers that have together received 3.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (27 papers), Enzyme Structure and Function (17 papers) and Glycosylation and Glycoproteins Research (16 papers). The work is most often cited by research in Cell Biology (514 citations), Molecular Biology (2.2k citations) and Pharmacology (235 citations). Yoshimitsu Kakuta has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Masahiko Negishi, Lars C. Pedersen, Makoto Kimura, Keiichi Fukuyama, Lee G. Pedersen, Isao Tanaka, Takamasa Teramoto, Makoto Kimura, Evgeniy V. Petrotchenko and Tatsuya Sueyoshi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.