Koichi Handa
Impact in
-
- Cardiac electrophysiology and arrhythmias
- Internal Medicine top 10%
Papers in
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- Pharmacogenetics and Drug Metabolism 9
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- Computational Drug Discovery Methods 15
- Co-authors
- Suminori KonoJunichi SasakiKikuo ArakawaJ WatrasMaria C. MoschellaBillie FyfeAndrew R. MarksHitomi Hayabuchi
- Journals
- Atherosclerosis (5 papers)Molecular Pharmaceutics (3 papers)Cancer Letters (3 papers)Cardiovascular Drugs and Therapy (3 papers)Journal of Chemical Information and Modeling (3 papers)
- Partner nations
- JapanUnited KingdomRomania
In The Last Decade
Koichi Handa
45 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 119
- Cardiology and Cardiovascular Medicine 320
- Internal Medicine 42
- Pharmacology 92
- Endocrinology, Diabetes and Metabolism 131
- Pathology and Forensic Medicine 129
Countries citing papers authored by Koichi Handa
This map shows the geographic impact of Koichi Handa'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 Koichi Handa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Handa more than expected).
Fields of papers citing papers by Koichi Handa
This network shows the impact of papers produced by Koichi Handa. 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 Koichi Handa. The network helps show where Koichi Handa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Koichi Handa, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 9 | |
| 5 | 2021 | 23 | |
| 6 | 2014 | 8 | |
| 7 | 2013 | 16 | |
| 8 | 2006 | 29 | |
| 9 | 2001 | 16 | |
| 10 | 2000 | 50 | |
| 11 | 1999 | 104 | |
| 12 | 1997 | 18 | |
| 13 | 1995 | 198 | |
| 14 | 1995 | 71 | |
| 15 | 1993 | 1 | |
| 16 | 1992 | 2 | |
| 17 | 1992 | 20 | |
| 18 | 1992 | 5 | |
| 19 | 1990 | 41 | |
| 20 | 1989 | 99 |
About Koichi Handa
Koichi Handa is a scholar working on Pharmacology, Computational Theory and Mathematics, Internal Medicine, Cardiology and Cardiovascular Medicine and Spectroscopy, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Pharmacogenetics and Drug Metabolism (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Blood properties and coagulation (6 papers), Analytical Chemistry and Chromatography (5 papers), Lipoproteins and Cardiovascular Health (4 papers), Drug Transport and Resistance Mechanisms (4 papers) and Cardiovascular Disease and Adiposity (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (320 citations), Internal Medicine (42 citations), Pharmacology (92 citations), Endocrinology, Diabetes and Metabolism (131 citations) and Pathology and Forensic Medicine (129 citations). Koichi Handa has collaborated with scholars based in Japan, United Kingdom and Romania. Frequent co-authors include Suminori Kono, Junichi Sasaki, Kikuo Arakawa, J Watras, Maria C. Moschella, Billie Fyfe, Andrew R. Marks, Hitomi Hayabuchi, Chikako Kiyohara and Hisako Inoue. Their work appears in journals such as Atherosclerosis, Molecular Pharmaceutics, Cancer Letters, Cardiovascular Drugs and Therapy and Journal of Chemical Information and Modeling.
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.