Norihiko Takemoto
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria 5
- Geriatrics and Gerontology top 10%
- Otorhinolaryngology top 10%
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- Vibrio bacteria research studies 3
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- Bacterial Identification and Susceptibility Testing 3
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- Antimicrobial Resistance in Staphylococcus 6
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- Microbial Metabolic Engineering and Bioproduction 6
- Bacterial biofilms and quorum sensing 5
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- Streptococcal Infections and Treatments 6
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- Biofuel production and bioconversion 3
- Co-authors
- Hidenori InoharaYukinori TakenakaRyohei OyaMasayuki InuiYuya TanakaTohru Miyoshi‐AkiyamaShuji TachibanakiSatoru Kawamura
- Journals
- Journal of Bacteriology (2 papers)Molecular Microbiology (2 papers)Journal of Medical Microbiology (2 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Norihiko Takemoto
25 papers receiving 545 citations
Peers
Comparison fields: 5 of 76
- Molecular Medicine 61
- Geriatrics and Gerontology 35
- Otorhinolaryngology 39
- Endocrinology 27
- Clinical Biochemistry 28
Countries citing papers authored by Norihiko Takemoto
This map shows the geographic impact of Norihiko Takemoto'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 Norihiko Takemoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norihiko Takemoto more than expected).
Fields of papers citing papers by Norihiko Takemoto
This network shows the impact of papers produced by Norihiko Takemoto. 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 Norihiko Takemoto. The network helps show where Norihiko Takemoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Norihiko Takemoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 14 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 85 | |
| 11 | 2021 | 33 | |
| 12 | 2020 | 37 | |
| 13 | 2020 | 6 | |
| 14 | 2019 | 2 | |
| 15 | 2018 | 64 | |
| 16 | 2018 | 29 | |
| 17 | 2015 | 28 | |
| 18 | 2014 | 16 | |
| 19 | 2014 | 13 | |
| 20 | 2014 | 38 |
About Norihiko Takemoto
Norihiko Takemoto is a scholar working on Molecular Medicine, Endocrinology and Aging, having authored 28 papers that have together received 546 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Streptococcal Infections and Treatments (6 papers), Antibiotic Resistance in Bacteria (5 papers), Bacterial biofilms and quorum sensing (5 papers), Vibrio bacteria research studies (3 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Biofuel production and bioconversion (3 papers). The work is most often cited by research in Molecular Medicine (61 citations), Geriatrics and Gerontology (35 citations) and Otorhinolaryngology (39 citations). Norihiko Takemoto has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Hidenori Inohara, Yukinori Takenaka, Ryohei Oya, Masayuki Inui, Yuya Tanaka, Tohru Miyoshi‐Akiyama, Shuji Tachibanaki, Satoru Kawamura, Hideaki Yukawa and Kohei Ogura. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Journal of Medical Microbiology, Nucleic Acids Research and Frontiers in Microbiology.
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.