Kaori Tanaka
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 12
- Genomics and Chromatin Dynamics 9
- Single-cell and spatial transcriptomics 8
- Gut microbiota and health 8
- Cancer Research top 5%
- Toxicology top 2%
- Oncology top 5%
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 13
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- Bacterial Identification and Susceptibility Testing 29
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- Streptococcal Infections and Treatments 12
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- Antibiotics Pharmacokinetics and Efficacy 9
- Co-authors
- Hiroyuki TomitaAkira HaraTakuji TanakaKunitomo WatanabeMamoru KoketsuMasayuki NinomiyaXiaobing ShiHong Wen
- Partner nations
- JapanUnited StatesIndonesia
In The Last Decade
Kaori Tanaka
159 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 2.0k
- Cancer Research 375
- Toxicology 77
- Oncology 603
- Molecular Medicine 96
Countries citing papers authored by Kaori Tanaka
This map shows the geographic impact of Kaori Tanaka'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 Kaori Tanaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaori Tanaka more than expected).
Fields of papers citing papers by Kaori Tanaka
This network shows the impact of papers produced by Kaori Tanaka. 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 Kaori Tanaka. The network helps show where Kaori Tanaka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kaori Tanaka, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 22 | |
| 10 | [A Case of Neuroendocrine Carcinoma of the Stomach Treated with TAS-102]. | 2022 | 0 |
| 11 | 2022 | 3 | |
| 12 | A spinal microglia population involved in remitting and relapsing neuropathic painbreakdown → | 2022 | 147 |
| 13 | 2022 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 13 | |
| 16 | 2021 | 3 | |
| 17 | 2020 | 32 | |
| 18 | 2019 | 14 | |
| 19 | 2016 | 11 | |
| 20 | In vitro antibacterial activity of novel cephalosporin, cefozopran, against anaerobic bacteria | 1993 | 1 |
About Kaori Tanaka
Kaori Tanaka is a scholar working on Clinical Biochemistry, Molecular Medicine and Endocrinology, having authored 182 papers that have together received 3.7k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (29 papers), Antibiotic Resistance in Bacteria (13 papers), Genomics and Phylogenetic Studies (12 papers), Streptococcal Infections and Treatments (12 papers), Genomics and Chromatin Dynamics (9 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers), Single-cell and spatial transcriptomics (8 papers) and Gut microbiota and health (8 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Cancer Research (375 citations) and Toxicology (77 citations). Kaori Tanaka has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Hiroyuki Tomita, Akira Hara, Takuji Tanaka, Kunitomo Watanabe, Mamoru Koketsu, Masayuki Ninomiya, Xiaobing Shi, Hong Wen, Danni Peng and Wei Li. Their work appears in journals such as Nature, Science and Cell.
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.