Akiko Tamon

1.3k citations
12 papers · 969 indexed · 1 hit paper · h-index 8
Topics
Pancreatic function and diabetes (3 papers)Pharmacovigilance and Adverse Drug Reactions (3 papers)Diabetes Treatment and Management (2 papers)
Partner nations
JapanCanada

In The Last Decade

Akiko Tamon

11 papers receiving 958 citations

Hit Papers

Data Mining of the Public Version of the FDA Adverse Even...20132026201720212013200400600

Peers

Akiko Tamon
Comparison fields: 5 of 108
  • Toxicology 344
  • Molecular Biology 231
  • Pharmacology 189
  • Computational Theory and Mathematics 146
  • Oncology 118
Replace Kaori Kadoyama with:
Kaori Kadoyama Japan
C. Kreft-Jaïs France
Mitsutaka Takada Japan
Yasutomi Kinosada Japan
Kouichi Hosomi Japan
Charles M. Gerrits United States
Joseph M. Tonning United States
Sarah Watson Sweden
Vijay Upreti United States
Yoshiaki Uyama Japan
Akiko Tamon relative to Kaori Kadoyama Japan Kaori Kadoyama's profile →
Citations per field
00.5×1.5×1.8×
Kaori Kadoyama · 1×
Citations per year

Countries citing papers authored by Akiko Tamon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Akiko Tamon

This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Tamon. A scholar is included among the top collaborators of Akiko Tamon 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 Akiko Tamon. Akiko Tamon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 5
2 1
3 1
4
Data Mining of the Public Version of the FDA Adverse Event Reporting Systembreakdown →
655
5 67
6
Data mining of the public version of the FDA Adverse Event Reporting System, AERS : Colistin-associated adverse events
3
7 23
8 108
9 28
10 42
11 25
12 11

About Akiko Tamon

Akiko Tamon is a scholar working on Toxicology, Behavioral Neuroscience and Sensory Systems, having authored 12 papers that have together received 969 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Pharmacovigilance and Adverse Drug Reactions (3 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Toxicology (344 citations), Pharmacology (189 citations) and Geriatrics and Gerontology (41 citations). Akiko Tamon has collaborated with scholars based in Japan and Canada. Frequent co-authors include Toshiyuki Sakaeda, Kaori Kadoyama, Yasushi Okuno, Yasushi Okuno, Satoshi Niijima, Ryo Kunimoto, Hiroaki Yabuuchi, Yusuke Okuno, Chenchen Feng and Nobuyuki Shihara. Their work appears in journals such as Nucleic Acids Research, The Journal of Clinical Endocrinology & Metabolism and Annals of Oncology.

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.

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