Maki Kimura
Impact in
- Sensory Systems top 5%
- Ion Channels and Receptors
- Physiology top 10%
- Erythrocyte Function and Pathophysiology
- Pain Mechanisms and Treatments
- Adenosine and Purinergic Signaling
Papers in
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- Neuropeptides and Animal Physiology 7
- Neuroscience and Neuropharmacology Research 4
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- Neuroscience of respiration and sleep 5
- Co-authors
- Yoshiyuki Shibukawa (28 shared papers)Masakazu Tazaki (12 shared papers)Masaki Sato (9 shared papers)Tatsuya Ichinohe (8 shared papers)Kazuhiko Nakatani (4 shared papers)Chikara Dohno (3 shared papers)Masaki Hagihara (2 shared papers)Akira Katakura (3 shared papers)
In The Last Decade
Maki Kimura
32 papers receiving 488 citations
Peers
Comparison fields: 5 of 69
- Sensory Systems 73
- Physiology 42
- Endocrine and Autonomic Systems 44
- Physiology 167
- Cellular and Molecular Neuroscience 85
Countries citing papers authored by Maki Kimura
This map shows the geographic impact of Maki 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 Maki Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maki Kimura more than expected).
Fields of papers citing papers by Maki Kimura
This network shows the impact of papers produced by Maki 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 Maki Kimura. The network helps show where Maki Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Maki Kimura, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 101 | |
| 2 | 2021 | 38 | |
| 3 | 2018 | 38 | |
| 4 | 2015 | 33 | |
| 5 | 2015 | 31 | |
| 6 | 2012 | 31 | |
| 7 | 2022 | 25 | |
| 8 | 2013 | 24 | |
| 9 | 2017 | 22 | |
| 10 | 2017 | 18 | |
| 11 | 2018 | 16 | |
| 12 | 2019 | 15 | |
| 13 | 2015 | 14 | |
| 14 | 2017 | 13 | |
| 15 | 2023 | 11 | |
| 16 | 2019 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2023 | 8 | |
| 20 | 2023 | 8 |
About Maki Kimura
Maki Kimura is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Physiology, Sensory Systems and Molecular Biology, having authored 32 papers that have together received 508 indexed citations. Recurring topics across this work include Ion channel regulation and function (9 papers), Neuropeptides and Animal Physiology (7 papers), Adenosine and Purinergic Signaling (5 papers), Connexins and lens biology (5 papers), Neuroscience of respiration and sleep (5 papers), Ion Channels and Receptors (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Pain Mechanisms and Treatments (4 papers). The work is most often cited by research in Sensory Systems (73 citations), Physiology (42 citations), Endocrine and Autonomic Systems (44 citations), Physiology (167 citations) and Cellular and Molecular Neuroscience (85 citations). Maki Kimura has collaborated with scholars based in Japan and China. Frequent co-authors include Yoshiyuki Shibukawa, Masakazu Tazaki, Masaki Sato, Tatsuya Ichinohe, Kazuhiko Nakatani, Chikara Dohno, Masaki Hagihara, Akira Katakura, Hidetaka Kuroda and Miyuki Shimada. Their work appears in journals such as Frontiers in Physiology, Biomolecules, Frontiers in Cellular Neuroscience, Angewandte Chemie International Edition and Neuroscience 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.