M. Mimura

61 papers receiving 978 citations

Peers

M. Mimura
Comparison fields: 5 of 85
  • Ecological Modeling 116
  • Condensed Matter Physics 247
  • Nature and Landscape Conservation 259
  • Ecology, Evolution, Behavior and Systematics 203
  • Genetics 278
Replace Weiwei Zhou with:
Weiwei Zhou China
Hong‐Hu Meng China
Zhongling Liu China
Annie Guiller France
Takehiko Yamanaka Japan
Jared W. Westbrook United States
M. P. Harris United States
Renato Caparroz Brazil
Gillian L. Holloway Canada
Navish Wadhwa United States
M. Mimura relative to Weiwei Zhou China Weiwei Zhou's profile →
Citations per field
00.5×2.7×
Weiwei Zhou · 1×
Citations per year

Countries citing papers authored by M. Mimura

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with M. Mimura Line = papers co-authored together M. Mimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016162
2 2007114
3 200987
4 200980
5 200763
6 199946
7 198945
8 200031
9 199029
10 200829
11 200624
12 199323
13 201422
14 201517
15 200817
16 200314
17 201212
18 200911
19 201411
20 201411

About M. Mimura

M. Mimura is a scholar working on Condensed Matter Physics, Biomedical Engineering, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Ecology, Evolution, Behavior and Systematics, having authored 61 papers that have together received 1.0k indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (28 papers), Superconducting Materials and Applications (16 papers), Plant and animal studies (10 papers), Genetic diversity and population structure (10 papers), HVDC Systems and Fault Protection (8 papers), Ecology and Vegetation Dynamics Studies (7 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 (116 citations), Condensed Matter Physics (247 citations), Nature and Landscape Conservation (259 citations), Ecology, Evolution, Behavior and Systematics (203 citations) and Genetics (278 citations). M. Mimura has collaborated with scholars based in Japan, Canada and United Kingdom. Frequent co-authors include Sally N. Aitken, Kazuo Watanabe, Hiroshi Maeda, Hiroaki Kumakura, K. Togano, Akira Mori, BM Potts, Robert C. Barbour, Tetsukazu Yahara and René E. Vaillancourt. Their work appears in journals such as Physica C Superconductivity, IEEE Transactions on Applied Superconductivity, IEEE Transactions on Magnetics, Superconductor Science and Technology and Genetic Resources and Crop 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.

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