Masako Kimura
Impact in
- Aging top 5%
- Biomaterials top 5%
- Magnesium Alloys: Properties and Applications
Papers in
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- Muscle Physiology and Disorders 5
- Spectroscopy 12
- Analytical Chemistry and Chromatography 11
- Co-authors
- Junichi Koike (1 shared paper)Kazuichi Maruyama (1 shared paper)Masato Suzuki (1 shared paper)Akira Matsuoka (18 shared papers)Akira Ohtori (4 shared papers)Kunio Kobayashi (13 shared papers)Shin-ichi Yasueda (2 shared papers)Eriko Kage‐Nakadai (2 shared papers)
In The Last Decade
Masako Kimura
77 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 161
- Aging 41
- Biomaterials 228
- Pharmaceutical Science 74
- Biochemistry 67
- Genetics 195
Countries citing papers authored by Masako Kimura
This map shows the geographic impact of Masako 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 Masako Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masako Kimura more than expected).
Fields of papers citing papers by Masako Kimura
This network shows the impact of papers produced by Masako 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 Masako Kimura. The network helps show where Masako Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Masako 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 'Stepping stone' model of population | 1953 | 238 |
| 2 | 2003 | 212 | |
| 3 | 2005 | 89 | |
| 4 | 2010 | 66 | |
| 5 | 2005 | 52 | |
| 6 | 2010 | 44 | |
| 7 | Liquid-chromatographic determination of the total thiamin content of blood. | 1982 | 40 |
| 8 | 1993 | 34 | |
| 9 | 2019 | 33 | |
| 10 | 1984 | 29 | |
| 11 | 1981 | 28 | |
| 12 | 2006 | 26 | |
| 13 | 1998 | 25 | |
| 14 | 2010 | 25 | |
| 15 | Sero- and molecular typing of Duffy blood group in Southeast Asians and Oceanians. | 2000 | 24 |
| 16 | 2010 | 23 | |
| 17 | 1999 | 23 | |
| 18 | 2012 | 22 | |
| 19 | 1985 | 22 | |
| 20 | 2018 | 22 |
About Masako Kimura
Masako Kimura is a scholar working on Molecular Biology, Spectroscopy, Cell Biology, Physiology and Oncology, having authored 82 papers that have together received 1.5k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (11 papers), Cardiomyopathy and Myosin Studies (6 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Muscle Physiology and Disorders (5 papers), Erythrocyte Function and Pathophysiology (5 papers), Analytical Methods in Pharmaceuticals (5 papers), Gender, Labor, and Family Dynamics (3 papers) and Fiscal Policy and Economic Growth (3 papers). The work is most often cited by research in Aging (41 citations), Biomaterials (228 citations), Pharmaceutical Science (74 citations), Biochemistry (67 citations) and Genetics (195 citations). Masako Kimura has collaborated with scholars based in Japan, Indonesia and Australia. Frequent co-authors include Junichi Koike, Kazuichi Maruyama, Masato Suzuki, Akira Matsuoka, Akira Ohtori, Kunio Kobayashi, Shin-ichi Yasueda, Eriko Kage‐Nakadai, Shohei Mitani and Takafumi Ishida. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Clinical Chemistry, The Journal of Biochemistry, Economics Letters and Biophysical Journal.
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.