Akihiro Honda
- Molecular Biology
- Epidemiology
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Nobuhiro TaharaAtsuko TaharaIsao IshiiSho‐ichi YamagishiShotaro KamataYoshihiro FukumotoYoshikazu NittaHayato Kaida
- Topics
- Peroxisome Proliferator-Activated Receptors (8 papers)Liver Disease Diagnosis and Treatment (7 papers)Cardiovascular Function and Risk Factors (6 papers)
- Cited by
- Clinical BiochemistryEndocrinology, Diabetes and MetabolismCardiology and Cardiovascular Medicine
- Partner nations
- JapanUnited States
In The Last Decade
Akihiro Honda
47 papers receiving 649 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 187
- Epidemiology 172
- Cardiology and Cardiovascular Medicine 171
- Physiology 161
- Endocrinology, Diabetes and Metabolism 151
Countries citing papers authored by Akihiro Honda
This map shows the geographic impact of Akihiro Honda'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 Akihiro Honda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiro Honda more than expected).
Fields of papers citing papers by Akihiro Honda
This network shows the impact of papers produced by Akihiro Honda. 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 Akihiro Honda. The network helps show where Akihiro Honda may publish in the future.
Co-authorship network of co-authors of Akihiro Honda
This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Honda. A scholar is included among the top collaborators of Akihiro Honda 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 Akihiro Honda. Akihiro Honda 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 | 0 | |
| 3 | 5 | |
| 4 | 35 | |
| 5 | 2 | |
| 6 | 25 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 20 | |
| 10 | 13 | |
| 11 | 2 | |
| 12 | 59 | |
| 13 | 13 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 43 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 47 |
About Akihiro Honda
Akihiro Honda is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Clinical Biochemistry, having authored 56 papers that have together received 662 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (8 papers), Liver Disease Diagnosis and Treatment (7 papers) and Cardiovascular Function and Risk Factors (6 papers). The work is most often cited by research in Clinical Biochemistry (89 citations), Endocrinology, Diabetes and Metabolism (151 citations) and Cardiology and Cardiovascular Medicine (171 citations). Akihiro Honda has collaborated with scholars based in Japan and United States. Frequent co-authors include Nobuhiro Tahara, Atsuko Tahara, Isao Ishii, Sho‐ichi Yamagishi, Shotaro Kamata, Yoshihiro Fukumoto, Yoshikazu Nitta, Hayato Kaida, Norihiro Kodama and Sachiyo Igata. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.