Mie Nishimura
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
- Biological Psychiatry top 10%
Papers in
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- Gut microbiota and health 5
-
- Herbal Medicine Research Studies 3
- Co-authors
- Jun Nishihira (22 shared papers)Tatsuya Ohkawara (9 shared papers)Jun Nishihira (9 shared papers)Masuko Kobori (4 shared papers)Aiko Tanaka (5 shared papers)Yuji Sato (4 shared papers)Hiroji Sato (2 shared papers)Hiroshi Takeda (3 shared papers)
- Journals
- Journal of Traditional and Complementary Medicine (7 papers)Nutrients (5 papers)Food & Function (3 papers)Journal of Functional Foods (3 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- JapanNetherlands
In The Last Decade
Mie Nishimura
38 papers receiving 774 citations
Peers
Comparison fields: 5 of 113
- Biochemistry 80
- Biological Psychiatry 31
- Complementary and alternative medicine 78
- Food Science 180
- Nutrition and Dietetics 132
Countries citing papers authored by Mie Nishimura
This map shows the geographic impact of Mie 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 Mie Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mie Nishimura more than expected).
Fields of papers citing papers by Mie Nishimura
This network shows the impact of papers produced by Mie 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 Mie Nishimura. The network helps show where Mie Nishimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Mie Nishimura, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 67 | |
| 2 | 2016 | 64 | |
| 3 | 2015 | 58 | |
| 4 | 1971 | 56 | |
| 5 | 2015 | 53 | |
| 6 | 2019 | 50 | |
| 7 | 2017 | 45 | |
| 8 | 2014 | 44 | |
| 9 | 2014 | 38 | |
| 10 | 2010 | 33 | |
| 11 | 2021 | 30 | |
| 12 | 2015 | 29 | |
| 13 | 2015 | 28 | |
| 14 | 2018 | 26 | |
| 15 | 2019 | 21 | |
| 16 | 2017 | 16 | |
| 17 | 2021 | 14 | |
| 18 | 2016 | 14 | |
| 19 | 2014 | 14 | |
| 20 | 2019 | 13 |
About Mie Nishimura
Mie Nishimura is a scholar working on Molecular Biology, Complementary and alternative medicine, Food Science, Physiology and Nutrition and Dietetics, having authored 38 papers that have together received 811 indexed citations. Recurring topics across this work include Gut microbiota and health (5 papers), Probiotics and Fermented Foods (4 papers), Biochemical effects in animals (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Antimicrobial Peptides and Activities (3 papers), Herbal Medicine Research Studies (3 papers), Phytoestrogen effects and research (3 papers) and Gastrointestinal motility and disorders (2 papers). The work is most often cited by research in Biochemistry (80 citations), Biological Psychiatry (31 citations), Complementary and alternative medicine (78 citations), Food Science (180 citations) and Nutrition and Dietetics (132 citations). Mie Nishimura has collaborated with scholars based in Japan and Netherlands. Frequent co-authors include Jun Nishihira, Tatsuya Ohkawara, Jun Nishihira, Masuko Kobori, Aiko Tanaka, Yuji Sato, Hiroji Sato, Hiroshi Takeda, Hiroki Satoh and Richard B. Weiskopf. Their work appears in journals such as Journal of Traditional and Complementary Medicine, Nutrients, Food & Function, Journal of Functional Foods and Biochemical and Biophysical Research Communications.
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.