Masahiko Nishimura
- Molecular Biology top 10%
- Genetics top 10%
- Ecology top 5%
- Immunology top 10%
- Pollution top 5%
- Co-authors
- Kouichi OhwadaTamio OhnoKazuhiro KogureTsutomu YoshidaHidetoshi UrakawaTaizo TakedaAkinobu KakigiFumihiko Horio
- Topics
- Microbial Community Ecology and Physiology (27 papers)Genetic Mapping and Diversity in Plants and Animals (16 papers)Pancreatic function and diabetes (8 papers)
- Partner nations
- JapanUnited StatesBangladesh
In The Last Decade
Masahiko Nishimura
131 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 748
- Genetics 332
- Ecology 304
- Immunology 272
- Pollution 236
Countries citing papers authored by Masahiko Nishimura
This map shows the geographic impact of Masahiko Nishimura'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 Masahiko Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiko Nishimura more than expected).
Fields of papers citing papers by Masahiko Nishimura
This network shows the impact of papers produced by Masahiko Nishimura. 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 Masahiko Nishimura. The network helps show where Masahiko Nishimura may publish in the future.
Co-authorship network of co-authors of Masahiko Nishimura
This figure shows the co-authorship network connecting the top 25 collaborators of Masahiko Nishimura. A scholar is included among the top collaborators of Masahiko Nishimura 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 Masahiko Nishimura. Masahiko Nishimura 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 | 1 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 39 | |
| 7 | 4 | |
| 8 | Self-Alignment and Bonding of Microparts Using Adhesive Droplets | 10 |
| 9 | 88 | |
| 10 | 10 | |
| 11 | 4 | |
| 12 | 119 | |
| 13 | 3 | |
| 14 | Effects of Chemical Composition and Temperature for the Production of Volatile Fatty Acids During Anaerobic Decomposition Process of Marine Sinking Particles | 0 |
| 15 | 64 | |
| 16 | 18 | |
| 17 | Studies of a new diabetic strain of rat(WBN/Kob) 6th report. Peripheral nerve lesions.:Peripheral Nerve Lesions | 2 |
| 18 | 12 | |
| 19 | 9 | |
| 20 | 15 |
About Masahiko Nishimura
Masahiko Nishimura is a scholar working on Sensory Systems, Ecology and Neurology, having authored 136 papers that have together received 2.2k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (27 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers) and Pancreatic function and diabetes (8 papers). The work is most often cited by research in Sensory Systems (118 citations), Pollution (236 citations) and Immunology and Allergy (88 citations). Masahiko Nishimura has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Kouichi Ohwada, Tamio Ohno, Kazuhiro Kogure, Tsutomu Yoshida, Hidetoshi Urakawa, Taizo Takeda, Akinobu Kakigi, Fumihiko Horio, Masayuki Mori and Toshiyuki Kamoto. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and Blood.
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.