Daisuke Koide
Impact in
- Toxicology top 5%
- Pharmacovigilance and Adverse Drug Reactions
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- Electronic Health Records Systems
Papers in
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- Electronic Health Records Systems 4
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- Pharmacovigilance and Adverse Drug Reactions 4
- Co-authors
- Kiyoshi Kubota (8 shared papers)Nobuhiro Ooba (4 shared papers)Yukari Kamijima (2 shared papers)Hidemi Nakagawa (1 shared paper)Tsugumichi Sato (2 shared papers)Hajime Iizuka (1 shared paper)Hinako Toyama (3 shared papers)George Otieno (3 shared papers)
- Journals
- Pharmacoepidemiology and Drug Safety (4 papers)International Journal of Medical Informatics (2 papers)Journal of Epidemiology (2 papers)PLoS ONE (2 papers)Circulation Journal (1 paper)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Daisuke Koide
24 papers receiving 588 citations
Peers
Comparison fields: 5 of 82
- Toxicology 55
- Health Information Management 63
- Dermatology 87
- Immunology 196
- Health Informatics 7
Countries citing papers authored by Daisuke Koide
This map shows the geographic impact of Daisuke Koide'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 Daisuke Koide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Koide more than expected).
Fields of papers citing papers by Daisuke Koide
This network shows the impact of papers produced by Daisuke Koide. 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 Daisuke Koide. The network helps show where Daisuke Koide may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Koide, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 248 | |
| 2 | 2004 | 75 | |
| 3 | 2018 | 57 | |
| 4 | 2008 | 50 | |
| 5 | 2021 | 36 | |
| 6 | 2018 | 22 | |
| 7 | 2023 | 17 | |
| 8 | 2022 | 17 | |
| 9 | 2014 | 16 | |
| 10 | 2000 | 11 | |
| 11 | 2018 | 9 | |
| 12 | Evaluation of electronic health records from viewpoint of patients. | 2006 | 9 |
| 13 | 2014 | 8 | |
| 14 | 2016 | 7 | |
| 15 | 2013 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2005 | 4 | |
| 18 | 2002 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 1994 | 1 |
About Daisuke Koide
Daisuke Koide is a scholar working on Health Information Management, Toxicology, Cardiology and Cardiovascular Medicine, Pharmacology and Nephrology, having authored 28 papers that have together received 606 indexed citations. Recurring topics across this work include Electronic Health Records Systems (4 papers), Pharmacovigilance and Adverse Drug Reactions (4 papers), Pharmacy and Medical Practices (3 papers), Telemedicine and Telehealth Implementation (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Pharmaceutical industry and healthcare (1 paper). The work is most often cited by research in Toxicology (55 citations), Health Information Management (63 citations), Dermatology (87 citations), Immunology (196 citations) and Health Informatics (7 citations). Daisuke Koide has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Kiyoshi Kubota, Nobuhiro Ooba, Yukari Kamijima, Hidemi Nakagawa, Tsugumichi Sato, Hajime Iizuka, Hinako Toyama, George Otieno, Koichi Kimura and Soko Setoguchi. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, International Journal of Medical Informatics, Journal of Epidemiology, PLoS ONE and Circulation Journal.
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.