Takeshi Kimura
- Geophysics top 2%
- Molecular Biology
- Physiology top 10%
- Epidemiology top 10%
- Artificial Intelligence top 10%
- Co-authors
- Yasushi NoguchiRyosei SakaiShin AoiTakashi KunugiYouichi AsanoKatsuhiko ShiomiTakanori MatsuzawaHitoshi Hirose
- Topics
- earthquake and tectonic studies (30 papers)Seismic Waves and Analysis (22 papers)High-pressure geophysics and materials (12 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takeshi Kimura
114 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 156
- Geophysics 722
- Molecular Biology 349
- Physiology 279
- Epidemiology 253
- Artificial Intelligence 176
Countries citing papers authored by Takeshi Kimura
This map shows the geographic impact of Takeshi 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 Takeshi Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Kimura more than expected).
Fields of papers citing papers by Takeshi Kimura
This network shows the impact of papers produced by Takeshi 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 Takeshi Kimura. The network helps show where Takeshi Kimura may publish in the future.
Co-authorship network of co-authors of Takeshi Kimura
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Kimura. A scholar is included among the top collaborators of Takeshi 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 Takeshi Kimura. Takeshi 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 | 0 | |
| 2 | 0 | |
| 3 | 13 | |
| 4 | 24 | |
| 5 | 176 | |
| 6 | 26 | |
| 7 | 1 | |
| 8 | Comparison of PGA, PGV, and acceleration response spectra between the K-NET, KIK-net, and S-net strong-motion sites | 1 |
| 9 | 48 | |
| 10 | 23 | |
| 11 | Abstract 17676: Microrna-33b Promotes Atherosclerotic Plaque Formation in Apoe-/- Mice | 1 |
| 12 | 30 | |
| 13 | 59 | |
| 14 | Background noise characteristics of F-net broadband seismograms | 1 |
| 15 | The Transliteration from Alphabet Queries to Japanese Product Names | 1 |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 30 | |
| 19 | 27 | |
| 20 | 77) Vascular Reactivity to Noradrenaline in Hypertensive Patients | 1 |
About Takeshi Kimura
Takeshi Kimura is a scholar working on Geophysics, Clinical Biochemistry and Hepatology, having authored 122 papers that have together received 2.3k indexed citations. Recurring topics across this work include earthquake and tectonic studies (30 papers), Seismic Waves and Analysis (22 papers) and High-pressure geophysics and materials (12 papers). The work is most often cited by research in Geophysics (722 citations), Anesthesiology and Pain Medicine (75 citations) and Hepatology (94 citations). Takeshi Kimura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yasushi Noguchi, Ryosei Sakai, Shin Aoi, Takashi Kunugi, Youichi Asano, Katsuhiko Shiomi, Takanori Matsuzawa, Hitoshi Hirose, Mitsuo Takahashi and Wataru Suzuki. Their work appears in journals such as Science, Circulation and Journal of Geophysical Research Atmospheres.
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.