Takeshi Mori
- Molecular Biology top 5%
- Biomedical Engineering top 2%
- Biomaterials top 1%
- Materials Chemistry top 10%
- Epidemiology top 5%
- Co-authors
- Yoshiki KatayamaTakuro NiidomeYasuro NiidomeJeong‐Hun KangYasuyuki AkiyamaTakahito KawanoMizuo MaedaAkihiro Kishimura
- Topics
- RNA Interference and Gene Delivery (50 papers)Advanced biosensing and bioanalysis techniques (48 papers)Antifungal resistance and susceptibility (33 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietySHILAP Revista de lepidopterología
- Partner nations
- JapanTaiwanUnited States
In The Last Decade
Takeshi Mori
348 papers receiving 6.2k citations
Peers
Comparison fields: 5 of 156
- Molecular Biology 2.2k
- Biomedical Engineering 1.1k
- Biomaterials 926
- Materials Chemistry 726
- Epidemiology 701
Countries citing papers authored by Takeshi Mori
This map shows the geographic impact of Takeshi Mori'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 Takeshi Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Mori more than expected).
Fields of papers citing papers by Takeshi Mori
This network shows the impact of papers produced by Takeshi Mori. 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 Takeshi Mori. The network helps show where Takeshi Mori may publish in the future.
Co-authorship network of co-authors of Takeshi Mori
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Mori. A scholar is included among the top collaborators of Takeshi Mori 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 Takeshi Mori. Takeshi Mori 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 | 5 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 17 | |
| 13 | 9 | |
| 14 | 6 | |
| 15 | 9 | |
| 16 | Daptomycin approved in Japan for the treatment of methicillin-resistant Staphylococcus aureus | 0 |
| 17 | 6 | |
| 18 | 66 | |
| 19 | 16 | |
| 20 | A CYTOCHROME FROM HALOTOLERANT BACTERIA | 4 |
About Takeshi Mori
Takeshi Mori is a scholar working on Molecular Medicine, Biomaterials and Microbiology, having authored 369 papers that have together received 6.4k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (50 papers), Advanced biosensing and bioanalysis techniques (48 papers) and Antifungal resistance and susceptibility (33 papers). The work is most often cited by research in Biomaterials (926 citations), Molecular Medicine (351 citations) and Reproductive Medicine (279 citations). Takeshi Mori has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Yoshiki Katayama, Takuro Niidome, Yasuro Niidome, Jeong‐Hun Kang, Yasuyuki Akiyama, Takahito Kawano, Mizuo Maeda, Akihiro Kishimura, Keiji Minagawa and Masami Tanaka. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and SHILAP Revista de lepidopterología.
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.