Takuya Kishimoto
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
- Adipose Tissue and Metabolism
Papers in
-
- Lipid Membrane Structure and Behavior 9
- Surgery 13
- Pancreatic function and diabetes 7
- Co-authors
- Haruo Kasai (14 shared papers)Noriko Takahashi (11 shared papers)Tomomi Nemoto (8 shared papers)Takashi Kadowaki (2 shared papers)Hiroyasu Hatakeyama (7 shared papers)Yasushi Miyashita (3 shared papers)Naoto Kubota (1 shared paper)Shinichi Aizawa (1 shared paper)
- Journals
- The Journal of Physiology (6 papers)Veterinary Pathology (2 papers)Science (2 papers)The Journal of Cell Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- JapanTaiwanUnited States
In The Last Decade
Takuya Kishimoto
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 112
- Cell Biology 497
- Physiology 129
- Surgery 607
- Biophysics 74
- Endocrinology, Diabetes and Metabolism 182
Countries citing papers authored by Takuya Kishimoto
This map shows the geographic impact of Takuya Kishimoto'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 Takuya Kishimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Kishimoto more than expected).
Fields of papers citing papers by Takuya Kishimoto
This network shows the impact of papers produced by Takuya Kishimoto. 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 Takuya Kishimoto. The network helps show where Takuya Kishimoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Takuya Kishimoto, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 397 | |
| 2 | 2002 | 217 | |
| 3 | 2004 | 95 | |
| 4 | 1996 | 72 | |
| 5 | 2005 | 60 | |
| 6 | 2007 | 53 | |
| 7 | 1999 | 51 | |
| 8 | 2006 | 40 | |
| 9 | 2001 | 39 | |
| 10 | 2005 | 36 | |
| 11 | 2002 | 35 | |
| 12 | 2005 | 34 | |
| 13 | 2006 | 33 | |
| 14 | 2005 | 24 | |
| 15 | 2016 | 21 | |
| 16 | 2019 | 20 | |
| 17 | 2018 | 16 | |
| 18 | 2021 | 15 | |
| 19 | 2021 | 11 | |
| 20 | 2010 | 9 |
About Takuya Kishimoto
Takuya Kishimoto is a scholar working on Molecular Biology, Surgery, Cell Biology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (12 papers), Lipid Membrane Structure and Behavior (9 papers), Pancreatic function and diabetes (7 papers), Microstructure and Mechanical Properties of Steels (4 papers), Shape Memory Alloy Transformations (3 papers), Veterinary Oncology Research (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Magnetic Properties and Applications (3 papers). The work is most often cited by research in Cell Biology (497 citations), Physiology (129 citations), Surgery (607 citations), Biophysics (74 citations) and Endocrinology, Diabetes and Metabolism (182 citations). Takuya Kishimoto has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Haruo Kasai, Noriko Takahashi, Tomomi Nemoto, Takashi Kadowaki, Hiroyasu Hatakeyama, Yasushi Miyashita, Naoto Kubota, Shinichi Aizawa, Yasuo Akanuma and Yoshio Yazaki. Their work appears in journals such as The Journal of Physiology, Veterinary Pathology, Science, The Journal of Cell Biology and Proceedings of the National Academy of Sciences.
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.