Akiko Tamon
Impact in
- Toxicology top 0.5%
- Pharmacovigilance and Adverse Drug Reactions
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- Computational Drug Discovery Methods
Papers in
- Surgery 3
- Pancreatic function and diabetes 3
- Pancreatitis Pathology and Treatment 1
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- Pharmacovigilance and Adverse Drug Reactions 3
- Co-authors
- Toshiyuki Sakaeda (4 shared papers)Kaori Kadoyama (4 shared papers)Yasushi Okuno (6 shared papers)Satoshi Niijima (2 shared papers)Ryo Kunimoto (2 shared papers)Yasushi Okuno (1 shared paper)Yusuke Okuno (1 shared paper)Chenchen Feng (1 shared paper)
In The Last Decade
Akiko Tamon
12 papers receiving 1.0k citations
Akiko Tamon's Hit Papers
Peers
Comparison fields: 5 of 100
- Toxicology 248
- Computational Theory and Mathematics 126
- Geriatrics and Gerontology 20
- Pharmacology 94
- Endocrinology, Diabetes and Metabolism 66
Countries citing papers authored by Akiko Tamon
This map shows the geographic impact of Akiko Tamon'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 Akiko Tamon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akiko Tamon more than expected).
Fields of papers citing papers by Akiko Tamon
This network shows the impact of papers produced by Akiko Tamon. 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 Akiko Tamon. The network helps show where Akiko Tamon may publish in the future.
Co-authors
The 25 scholars most cited alongside Akiko Tamon, 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 | Data Mining of the Public Version of the FDA Adverse Event Reporting System Hit paper breakdown → | 2013 | 715 |
| 2 | 2007 | 118 | |
| 3 | 2012 | 70 | |
| 4 | 2003 | 42 | |
| 5 | 2003 | 28 | |
| 6 | 2002 | 26 | |
| 7 | 2009 | 23 | |
| 8 | 2002 | 12 | |
| 9 | 2016 | 5 | |
| 10 | Data mining of the public version of the FDA Adverse Event Reporting System, AERS : Colistin-associated adverse events | 2011 | 3 |
| 11 | 2015 | 2 | |
| 12 | 2015 | 1 |
About Akiko Tamon
Akiko Tamon is a scholar working on Surgery, Toxicology, Endocrinology, Diabetes and Metabolism, Infectious Diseases and Molecular Biology, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Pharmacovigilance and Adverse Drug Reactions (3 papers), Diabetes Treatment and Management (2 papers), Tuberculosis Research and Epidemiology (1 paper), Gene expression and cancer classification (1 paper), Digestive system and related health (1 paper), Diet, Metabolism, and Disease (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Toxicology (248 citations), Computational Theory and Mathematics (126 citations), Geriatrics and Gerontology (20 citations), Pharmacology (94 citations) and Endocrinology, Diabetes and Metabolism (66 citations). Akiko Tamon has collaborated with scholars based in Japan and Canada. Frequent co-authors include Toshiyuki Sakaeda, Kaori Kadoyama, Yasushi Okuno, Satoshi Niijima, Ryo Kunimoto, Yasushi Okuno, Yusuke Okuno, Chenchen Feng, Hiroaki Yabuuchi and Nobuyuki Shihara. Their work appears in journals such as Hormone and Metabolic Research, The Journal of Clinical Endocrinology & Metabolism, Diabetes Research and Clinical Practice, Annals of Oncology and Asian Journal of Pharmaceutical Sciences.
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.