Takashi Kimura
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Oncology top 5%
- Immunology top 10%
- Neurology top 5%
- Co-authors
- Saburo SakodaOlivera J. FinnMitsukazu GotohMasanori TakahashiAngela F. DulhuntyHarutoshi FujimuraHirofumi ArakawaMasayuki Nakamori
- Topics
- Genetic Neurodegenerative Diseases (20 papers)Ion channel regulation and function (12 papers)Pancreatic function and diabetes (12 papers)
- Journals
- Nature GeneticsSHILAP Revista de lepidopterologíaThe Journal of Cell Biology
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Takashi Kimura
120 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 549
- Oncology 465
- Immunology 409
- Neurology 396
Countries citing papers authored by Takashi Kimura
This map shows the geographic impact of Takashi Kimura'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 Takashi Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Kimura more than expected).
Fields of papers citing papers by Takashi Kimura
This network shows the impact of papers produced by Takashi Kimura. 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 Takashi Kimura. The network helps show where Takashi Kimura may publish in the future.
Co-authorship network of co-authors of Takashi Kimura
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Kimura. A scholar is included among the top collaborators of Takashi Kimura 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 Takashi Kimura. Takashi Kimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 20 | |
| 8 | 186 | |
| 9 | 2 | |
| 10 | 20 | |
| 11 | 7 | |
| 12 | 65 | |
| 13 | 28 | |
| 14 | 9 | |
| 15 | 1 | |
| 16 | 26 | |
| 17 | Gastrointestinal absorption of recombinant human insulin-like growth factor-I in rats | 2 |
| 18 | 10 | |
| 19 | [Tocopherol Succinate Reference Standard (Control 881) of National Institute of Hygienic Sciences]. | 2 |
| 20 | 6 |
About Takashi Kimura
Takashi Kimura is a scholar working on Neurology, Hepatology and Cellular and Molecular Neuroscience, having authored 128 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (20 papers), Ion channel regulation and function (12 papers) and Pancreatic function and diabetes (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (549 citations), Neurology (396 citations) and Immunology (409 citations). Takashi Kimura has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Saburo Sakoda, Olivera J. Finn, Mitsukazu Gotoh, Masanori Takahashi, Angela F. Dulhunty, Harutoshi Fujimura, Hirofumi Arakawa, Masayuki Nakamori, Hiroo Yoshikawa and Robert T. Dirksen. Their work appears in journals such as Nature Genetics, SHILAP Revista de lepidopterología 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.