Daisuke Koide

797 total citations
27 papers, 577 citations indexed

About

Daisuke Koide is a scholar working on Health Information Management, Epidemiology and Toxicology. According to data from OpenAlex, Daisuke Koide has authored 27 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health Information Management, 6 papers in Epidemiology and 5 papers in Toxicology. Recurrent topics in Daisuke Koide's work include Pharmacovigilance and Adverse Drug Reactions (5 papers), Pharmacy and Medical Practices (4 papers) and Electronic Health Records Systems (4 papers). Daisuke Koide is often cited by papers focused on Pharmacovigilance and Adverse Drug Reactions (5 papers), Pharmacy and Medical Practices (4 papers) and Electronic Health Records Systems (4 papers). Daisuke Koide collaborates with scholars based in Japan, United States and Netherlands. Daisuke Koide's co-authors include Kiyoshi Kubota, Nobuhiro Ooba, Yukari Kamijima, Hidemi Nakagawa, Tsugumichi Sato, Hajime Iizuka, George Otieno, Hinako Toyama, Takashi Ando and Mayumi Mochizuki and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMJ Open.

In The Last Decade

Daisuke Koide

24 papers receiving 560 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daisuke Koide Japan 10 200 131 90 73 70 27 577
Tsugumichi Sato Japan 13 210 1.1× 131 1.0× 17 0.2× 106 1.5× 70 1.0× 41 753
Ylenia Ingrasciotta Italy 17 221 1.1× 59 0.5× 6 0.1× 48 0.7× 42 0.6× 44 789
Neil Dhopeshwarkar United States 10 31 0.2× 76 0.6× 50 0.6× 25 0.3× 47 0.7× 18 544
Amr Makady Netherlands 12 78 0.4× 15 0.1× 34 0.4× 82 1.1× 19 0.3× 27 1.2k
Vicente Escudero‐Vilaplana Spain 15 66 0.3× 16 0.1× 26 0.3× 36 0.5× 52 0.7× 78 762
Guillaume Bouzillé France 18 19 0.1× 22 0.2× 79 0.9× 136 1.9× 55 0.8× 86 793
Karl Matuszewski United States 15 69 0.3× 9 0.1× 44 0.5× 68 0.9× 19 0.3× 34 809
Azadeh Shoaibi United States 14 98 0.5× 7 0.1× 20 0.2× 74 1.0× 41 0.6× 40 846
Florence Ranchon France 16 22 0.1× 33 0.3× 37 0.4× 45 0.6× 8 0.1× 58 812
Stuart Turner United States 16 32 0.2× 30 0.2× 27 0.3× 87 1.2× 60 0.9× 42 1.1k

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-authorship network of co-authors of Daisuke Koide

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

All Works

20 of 20 papers shown
1.
Takeuchi, Yoshinori, Yuichiro Iida, Masao Iwagami, et al.. (2025). Safety Assessment of Influenza Vaccination for Neurological Outcomes Among Older Adults in Japan: A Self‐Controlled Case Series Study. Pharmacoepidemiology and Drug Safety. 34(1). e70082–e70082. 1 indexed citations
2.
Ueda, Ikuko, Shun Kohsaka, Nobuhiro Ikemura, et al.. (2023). Patient concern regarding bleeding side effects from oral anticoagulation therapy for atrial fibrillation: an analysis from the multicentre KiCS-AF registry. European Journal of Cardiovascular Nursing. 23(4). 358–366. 2 indexed citations
3.
Kumamaru, Hiraku, Kanae Togo, Tomomi Kimura, et al.. (2023). Inventory of real‐world data sources in Japan: Annual survey conducted by the Japanese Society for Pharmacoepidemiology Task Force. Pharmacoepidemiology and Drug Safety. 33(1). e5680–e5680. 16 indexed citations
4.
Nishikawa, Atsushi, et al.. (2022). Validation Study of Algorithms to Identify Malignant Tumors and Serious Infections in a Japanese Administrative Healthcare Database. SHILAP Revista de lepidopterología. 4(1). 20–31. 15 indexed citations
5.
Gong, Mengchun, Vaishali Popat, Frank Pétavy, et al.. (2021). Use of Clinical Data Interchange Standards Consortium (CDISC) Standards for Real-world Data: Expert Perspectives From a Qualitative Delphi Survey. JMIR Medical Informatics. 10(1). e30363–e30363. 32 indexed citations
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Ando, Takashi, Nobuhiro Ooba, Mayumi Mochizuki, et al.. (2018). Positive predictive value of ICD-10 codes for acute myocardial infarction in Japan: a validation study at a single center. BMC Health Services Research. 18(1). 895–895. 54 indexed citations
8.
Iwagami, Masao, Manabu Akazawa, Chieko Ishiguro, et al.. (2018). <b>Task Force Report on the Validation of Diagnosis Codes and Other Outcome Definitions in the Japanese Receipt Data </b>. 23(2). 95–123. 19 indexed citations
9.
Suzuki, Kazushi, et al.. (2016). Elevated Serum Uric Acid Levels Are Related to Cognitive Deterioration in an Elderly Japanese Population. Dementia and Geriatric Cognitive Disorders Extra. 6(3). 580–588. 7 indexed citations
10.
Kubota, Kiyoshi, Yukari Kamijima, Tsugumichi Sato, et al.. (2015). Epidemiology of psoriasis and palmoplantar pustulosis: a nationwide study using the Japanese national claims database. BMJ Open. 5(1). e006450–e006450. 238 indexed citations
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Hashimoto, Hideki, Takahide Kohro, Hiromasa Horiguchi, et al.. (2014). Influence of Municipality-Level Mean Income on Access to Aortic Valve Surgery: A Cross-Sectional Observational Study under Japan's Universal Health-Care Coverage. PLoS ONE. 9(10). e111071–e111071. 8 indexed citations
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Koide, Daisuke & Edward Peskin. (2005). New uses for computer in medical education, clinical practice, and patient safety in the US and Japan. 3–3. 4 indexed citations
16.
Kubota, Kiyoshi, et al.. (2004). Comparison of data mining methodologies using Japanese spontaneous reports. Pharmacoepidemiology and Drug Safety. 13(6). 387–394. 73 indexed citations
17.
Ohyama, Yoshiharu, Doubun Hayashi, Tsutomu Yamazaki, et al.. (2002). Calcium channel blockers and myocardial infarction: a case–control study in a Japanese hospital. Pharmacoepidemiology and Drug Safety. 11(6). 487–492. 3 indexed citations
18.
Koide, Daisuke, Kazuhiko Ohe, Dennis Ross‐Degnan, & S Kaihara. (2000). Computerized reminders to monitor liver function to improve the use of etretinate. International Journal of Medical Informatics. 57(1). 11–19. 11 indexed citations
19.
Kubota, Kiyoshi, et al.. (1997). Voluntary Reporting on Suspected Drug Reactions Collected via Drug Companies in Japan : Companies' View. 2(2). 111–130. 1 indexed citations
20.
Hamada, Chikuma, et al.. (1994). Questionnaires Relating to the Transmission of Drug Information Regarding the Interaction of Sorivudine.. Rinsho yakuri/Japanese Journal of Clinical Pharmacology and Therapeutics. 25(3). 583–596. 1 indexed citations

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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