Daisuke Koide

24 papers receiving 560 citations

Peers

Daisuke Koide
Comparison fields: 5 of 91
  • Health Information Management 90
  • Toxicology 62
  • Dermatology 131
  • Immunology 200
  • Health Informatics 8
Replace Tsugumichi Sato with:
Tsugumichi Sato Japan
Neil Dhopeshwarkar United States
Anushi Shah United States
Ylenia Ingrasciotta Italy
Guillaume Bouzillé France
Amr Makady Netherlands
Amy Matcho United States
Florence Ranchon France
Matvey B. Palchuk United States
Kim Saverno United States
Daisuke Koide relative to Tsugumichi Sato Japan Tsugumichi Sato's profile →
Citations per field
00.5×5.3×
Tsugumichi Sato · 1×
Citations per year

Countries citing papers authored by Daisuke Koide

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daisuke Koide Line = papers co-authored together Daisuke Koide links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015238
2 200473
3 201854
4 200849
5 202132
6 201819
7 202316
8 202215
9 201415
10 200011
11 20189
12 20148
13
Evaluation of electronic health records from viewpoint of patients.
20068
14 20167
15 20134
16 20054
17 20194
18 20023
19 20232
20 19941

About Daisuke Koide

Daisuke Koide is a scholar working on Toxicology, Health Information Management, Geriatrics and Gerontology, Issues, ethics and legal aspects and Pharmacology, having authored 27 papers that have together received 577 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (5 papers), Electronic Health Records Systems (4 papers), Pharmacy and Medical Practices (4 papers), Pharmaceutical Practices and Patient Outcomes (3 papers), Cardiac Arrhythmias and Treatments (2 papers), Telemedicine and Telehealth Implementation (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Ethics in Clinical Research (2 papers). The work is most often cited by research in Health Information Management (90 citations), Toxicology (62 citations), Dermatology (131 citations), Immunology (200 citations) and Health Informatics (8 citations). Daisuke Koide has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Kiyoshi Kubota, Nobuhiro Ooba, Yukari Kamijima, Tsugumichi Sato, Hajime Iizuka, Hidemi Nakagawa, George Otieno, Hinako Toyama, Koichi Kimura and Takashi Ando. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, Journal of Epidemiology, PLoS ONE, International Journal of Medical Informatics and BMJ Open.

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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