Naoki Takemura
- Molecular Biology top 10%
- Food Science top 2%
- Physiology top 10%
- Nutrition and Dietetics top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Kei SonoyamaChise SuzukiReiji AokiYoshiharu TakayamaTatsuya MoritaJun WatanabeIto HReiko Fujiwara
- Topics
- Probiotics and Fermented Foods (22 papers)Gut microbiota and health (21 papers)Microbial Metabolites in Food Biotechnology (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of ImmunologyPLoS ONE
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Naoki Takemura
62 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 1.0k
- Food Science 354
- Physiology 334
- Nutrition and Dietetics 317
- Cardiology and Cardiovascular Medicine 144
Countries citing papers authored by Naoki Takemura
This map shows the geographic impact of Naoki Takemura'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 Naoki Takemura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Takemura more than expected).
Fields of papers citing papers by Naoki Takemura
This network shows the impact of papers produced by Naoki Takemura. 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 Naoki Takemura. The network helps show where Naoki Takemura may publish in the future.
Co-authorship network of co-authors of Naoki Takemura
This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Takemura. A scholar is included among the top collaborators of Naoki Takemura 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 Naoki Takemura. Naoki Takemura 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 | 26 | |
| 4 | 25 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | Effects of live Lactobacillus paracasei NFRI 7415 on the intestinal immune system and intestinal microflora of mice | 2 |
| 8 | 146 | |
| 9 | 85 | |
| 10 | 25 | |
| 11 | 3 | |
| 12 | 20 | |
| 13 | 2 | |
| 14 | 17 | |
| 15 | 3 | |
| 16 | 108 | |
| 17 | Comparison of the anti-aging potential of Lactoccocus lactis strains and determination of the required feeding period for senescence-accelerated mouse. | 0 |
| 18 | 139 | |
| 19 | 40 | |
| 20 | 14 |
About Naoki Takemura
Naoki Takemura is a scholar working on Food Science, Dermatology and Nutrition and Dietetics, having authored 65 papers that have together received 1.8k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (22 papers), Gut microbiota and health (21 papers) and Microbial Metabolites in Food Biotechnology (7 papers). The work is most often cited by research in Biological Psychiatry (111 citations), Nutrition and Dietetics (317 citations) and Food Science (354 citations). Naoki Takemura has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Kei Sonoyama, Chise Suzuki, Reiji Aoki, Yoshiharu Takayama, Tatsuya Morita, Jun Watanabe, Ito H, Reiko Fujiwara, Toru Ogasawara and Tomoka Takatani‐Nakase. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.
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.