Ai Tamura
- Oncology top 5%
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 5%
- Surgery
- Infectious Diseases top 10%
- Co-authors
- Toshihisa IshikawaHiroshi NakagawaKanako WakabayashiHikaru SaitoYuko OnishiIchiro OkuraKazuyuki HoshijimaToshiaki Kamachi
- Topics
- Drug Transport and Resistance Mechanisms (19 papers)HIV/AIDS drug development and treatment (8 papers)Cholesterol and Lipid Metabolism (4 papers)
- Journals
- Journal of Biological ChemistryNature CommunicationsThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Ai Tamura
27 papers receiving 992 citations
Peers
Comparison fields: 5 of 93
- Oncology 677
- Molecular Biology 402
- Pediatrics, Perinatology and Child Health 221
- Surgery 161
- Infectious Diseases 155
Countries citing papers authored by Ai Tamura
This map shows the geographic impact of Ai Tamura'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 Ai Tamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ai Tamura more than expected).
Fields of papers citing papers by Ai Tamura
This network shows the impact of papers produced by Ai Tamura. 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 Ai Tamura. The network helps show where Ai Tamura may publish in the future.
Co-authorship network of co-authors of Ai Tamura
This figure shows the co-authorship network connecting the top 25 collaborators of Ai Tamura. A scholar is included among the top collaborators of Ai Tamura 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 Ai Tamura. Ai Tamura 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 | 9 | |
| 3 | 31 | |
| 4 | 2D11-3 Effects of voluntary exercise on food intake : comparison with the stress-induced anorexia(The Proceedings of the 22nd Annual Meetings of Japan Society of Exercise and Sports Physiology July 19・20, (Okayama)) : | 1 |
| 5 | 34 | |
| 6 | 7 | |
| 7 | 120 | |
| 8 | 40 | |
| 9 | 13 | |
| 10 | 32 | |
| 11 | 29 | |
| 12 | 68 | |
| 13 | 3 | |
| 14 | 55 | |
| 15 | 102 | |
| 16 | 45 | |
| 17 | Genetic polymorphisms of human ABC transporter ABCG2: development of the standard method for functional validation of SNPs by using the Flp recombinase system. | 18 |
| 18 | 117 | |
| 19 | 42 | |
| 20 | 29 |
About Ai Tamura
Ai Tamura is a scholar working on Oncology, Infectious Diseases and Clinical Biochemistry, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (19 papers), HIV/AIDS drug development and treatment (8 papers) and Cholesterol and Lipid Metabolism (4 papers). The work is most often cited by research in Oncology (677 citations), Pediatrics, Perinatology and Child Health (221 citations) and Pharmacology (74 citations). Ai Tamura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Toshihisa Ishikawa, Hiroshi Nakagawa, Kanako Wakabayashi, Hikaru Saito, Yuko Onishi, Ichiro Okura, Kazuyuki Hoshijima, Toshiaki Kamachi, Yoichi Osawa and Yoshihiro Morishima. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Clinical Endocrinology & Metabolism.
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.