M. Mimura
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
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- Ecology and Vegetation Dynamics Studies
Papers in
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- Physics of Superconductivity and Magnetism 23
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- Magnetic Properties and Applications 6
- Co-authors
- Sally N. Aitken (3 shared papers)Kazuo Watanabe (6 shared papers)K. Togano (2 shared papers)Hiroaki Kumakura (2 shared papers)Hiroshi Maeda (2 shared papers)BM Potts (1 shared paper)René E. Vaillancourt (1 shared paper)Robert C. Barbour (1 shared paper)
In The Last Decade
M. Mimura
56 papers receiving 909 citations
Peers
Comparison fields: 5 of 84
- Ecological Modeling 113
- Nature and Landscape Conservation 254
- Condensed Matter Physics 210
- Ecology, Evolution, Behavior and Systematics 201
- Genetics 258
Countries citing papers authored by M. Mimura
This map shows the geographic impact of M. Mimura'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 M. Mimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Mimura more than expected).
Fields of papers citing papers by M. Mimura
This network shows the impact of papers produced by M. Mimura. 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 M. Mimura. The network helps show where M. Mimura may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Mimura, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 142 | |
| 2 | 2007 | 104 | |
| 3 | 2009 | 85 | |
| 4 | 2009 | 77 | |
| 5 | 2007 | 63 | |
| 6 | 1999 | 46 | |
| 7 | 1989 | 38 | |
| 8 | 2008 | 29 | |
| 9 | 2000 | 28 | |
| 10 | 1990 | 25 | |
| 11 | 2006 | 22 | |
| 12 | 2014 | 21 | |
| 13 | 2015 | 16 | |
| 14 | 2008 | 16 | |
| 15 | 2003 | 14 | |
| 16 | 1993 | 14 | |
| 17 | 2012 | 12 | |
| 18 | 2014 | 11 | |
| 19 | 2014 | 10 | |
| 20 | 2022 | 9 |
About M. Mimura
M. Mimura is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials, Ecology, Evolution, Behavior and Systematics, Biomedical Engineering and Genetics, having authored 56 papers that have together received 945 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (23 papers), Plant and animal studies (11 papers), Superconducting Materials and Applications (11 papers), Genetic diversity and population structure (10 papers), Ecology and Vegetation Dynamics Studies (7 papers), Species Distribution and Climate Change (6 papers), Magnetic Properties and Applications (6 papers) and ZnO doping and properties (5 papers). The work is most often cited by research in Ecological Modeling (113 citations), Nature and Landscape Conservation (254 citations), Condensed Matter Physics (210 citations), Ecology, Evolution, Behavior and Systematics (201 citations) and Genetics (258 citations). M. Mimura has collaborated with scholars based in Japan, Canada and Australia. Frequent co-authors include Sally N. Aitken, Kazuo Watanabe, K. Togano, Hiroaki Kumakura, Hiroshi Maeda, BM Potts, René E. Vaillancourt, Robert C. Barbour, Tetsukazu Yahara and Akira Mori. Their work appears in journals such as Physica C Superconductivity, IEEE Transactions on Applied Superconductivity, IEEE Transactions on Magnetics, Conservation Genetics and Ecology and Evolution.
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.