Mio Sakuma

1.7k total citations
60 papers, 889 citations indexed

About

Mio Sakuma is a scholar working on Geriatrics and Gerontology, Emergency Medical Services and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mio Sakuma has authored 60 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Geriatrics and Gerontology, 17 papers in Emergency Medical Services and 16 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mio Sakuma's work include Pharmaceutical Practices and Patient Outcomes (20 papers), Patient Safety and Medication Errors (15 papers) and Diabetes Treatment and Management (11 papers). Mio Sakuma is often cited by papers focused on Pharmaceutical Practices and Patient Outcomes (20 papers), Patient Safety and Medication Errors (15 papers) and Diabetes Treatment and Management (11 papers). Mio Sakuma collaborates with scholars based in Japan, United States and Netherlands. Mio Sakuma's co-authors include Takeshi Morimoto, David W. Bates, Shinichiro Ueda, Masako Waki, Sadanori Okada, Hisao Ogawa, Hirofumi Soejima, Masafumi Nakayama, Hideaki Jinnouchi and Yoshihiko Saito and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mio Sakuma

59 papers receiving 860 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mio Sakuma Japan 16 268 185 181 131 122 60 889
Patrick E. Beeler Switzerland 15 232 0.9× 129 0.7× 108 0.6× 210 1.6× 39 0.3× 61 815
Adrian Wong United States 20 196 0.7× 137 0.7× 91 0.5× 215 1.6× 42 0.3× 61 985
Pramil Tiwari India 18 187 0.7× 55 0.3× 97 0.5× 53 0.4× 275 2.3× 66 917
Morten Hansen Denmark 17 216 0.8× 59 0.3× 153 0.8× 301 2.3× 420 3.4× 45 1.2k
Victoria Rollason Switzerland 18 228 0.9× 33 0.2× 149 0.8× 99 0.8× 46 0.4× 50 1.3k
Martina Teichert Netherlands 19 235 0.9× 29 0.2× 272 1.5× 60 0.5× 71 0.6× 81 1.1k
Marietta Rottenkolber Germany 21 215 0.8× 29 0.2× 130 0.7× 224 1.7× 288 2.4× 66 1.4k
Bruno HCh Stricker Netherlands 13 177 0.7× 24 0.1× 111 0.6× 164 1.3× 77 0.6× 16 808
Jochen Schuler Austria 9 279 1.0× 38 0.2× 271 1.5× 56 0.4× 136 1.1× 10 691
Lucas Van Bortel Belgium 14 197 0.7× 57 0.3× 159 0.9× 65 0.5× 116 1.0× 33 768

Countries citing papers authored by Mio Sakuma

Since Specialization
Citations

This map shows the geographic impact of Mio Sakuma'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 Mio Sakuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mio Sakuma more than expected).

Fields of papers citing papers by Mio Sakuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mio Sakuma. 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 Mio Sakuma. The network helps show where Mio Sakuma may publish in the future.

Co-authorship network of co-authors of Mio Sakuma

This figure shows the co-authorship network connecting the top 25 collaborators of Mio Sakuma. A scholar is included among the top collaborators of Mio Sakuma 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 Mio Sakuma. Mio Sakuma 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.
2.
Sakuma, Mio, Tsukasa Nakamura, Chisa Matsumoto, et al.. (2023). Monitoring for adverse drug events of high-risk medications with a computerized clinical decision support system: a prospective cohort study. International Journal for Quality in Health Care. 35(4). 3 indexed citations
3.
Kuwahara, Akiko, et al.. (2022). Over Half of Falls Were Associated with Psychotropic Medication Use in Four Nursing Homes in Japan: A Retrospective Cohort Study. International Journal of Environmental Research and Public Health. 19(5). 3123–3123. 6 indexed citations
4.
Matsumoto, Chisa, Hisao Ogawa, Yoshihiko Saito, et al.. (2022). Incidence of atrial fibrillation in elderly patients with type 2 diabetes mellitus. BMJ Open Diabetes Research & Care. 10(2). e002745–e002745. 4 indexed citations
5.
Sakuma, Mio, Tsukasa Nakamura, Chisa Matsumoto, et al.. (2022). Effectiveness of a computerized clinical decision support system for prevention of glucocorticoid-induced osteoporosis. Scientific Reports. 12(1). 14967–14967. 5 indexed citations
6.
Kuwahara, Akiko, et al.. (2022). Epidemiology of adverse drug events and medication errors in four nursing homes in Japan: the Japan Adverse Drug Events (JADE) Study. BMJ Quality & Safety. 31(12). 878–887. 12 indexed citations
7.
Sakuma, Mio, et al.. (2022). Low Serum Total Protein at Admission Predicts in-Hospital Mortality Among General Inpatients: Historical Cohort Study. International Journal of General Medicine. Volume 15. 7941–7949. 3 indexed citations
8.
Sakuma, Mio, Kazutaka Uchida, Norito Kinjo, et al.. (2021). Experience and awareness of research integrity among Japanese physicians: a nationwide cross-sectional study. BMJ Open. 11(10). e052351–e052351. 7 indexed citations
9.
Teragawa, Hiroki, Takeshi Morimoto, Yoshitaka Fujii, et al.. (2020). Effect of Anagliptin versus Sitagliptin on Inflammatory Markers: Sub-Analysis from the REASON Trial. SHILAP Revista de lepidopterología.
10.
Nakamura, Tsukasa, Shinji Kosaka, Chisa Matsumoto, et al.. (2020). Clinical Decision Support System with Renal Dose Adjustment Did Not Improve Subsequent Renal and Hepatic Function among Inpatients: The Japan Adverse Drug Event Study. Applied Clinical Informatics. 11(5). 846–856. 4 indexed citations
11.
Teragawa, Hiroki, Takeshi Morimoto, Yuichi Fujii, et al.. (2020). <p>Effect of Anagliptin versus Sitagliptin on Inflammatory Markers: Sub-Analysis from the REASON Trial</p>. Diabetes Metabolic Syndrome and Obesity. Volume 13. 4993–5001. 3 indexed citations
12.
Morimoto, Takeshi, Ichiro Sakuma, Mio Sakuma, et al.. (2019). Randomized Evaluation of Anagliptin vs Sitagliptin On low-density lipoproteiN cholesterol in diabetes (REASON) Trial: A 52-week, open-label, randomized clinical trial. Scientific Reports. 9(1). 8537–8537. 11 indexed citations
13.
14.
Takahashi, Yuri, et al.. (2018). Effect of baseline renal and hepatic function on the incidence of adverse drug events: the Japan Adverse Drug Events study. Drug Metabolism and Personalized Therapy. 33(4). 165–173. 3 indexed citations
15.
Sakuma, Mio, et al.. (2018). Improving the assessment of adverse drug reactions using the Naranjo Algorithm in daily practice: The Japan Adverse Drug Events Study. Pharmacology Research & Perspectives. 6(1). 31 indexed citations
16.
Matsumoto, Chisa, Hisao Ogawa, Yoshihiko Saito, et al.. (2018). Abstract 15399: The Association of Visit-To-Visit Blood Pressure and Blood Glucose Variability and Incidence of Dementia in Patients With Type 2 Diabetes Mellitus: Insights From the Jpad2 Cohort Study. Circulation. 1 indexed citations
17.
Koizumi, Akira, Yoshinori Ohta, Mio Sakuma, et al.. (2017). Differences in Adverse Drug Events Among Pediatric Patients With and Without Cancer: Sub-Analysis of a Retrospective Cohort Study. Drugs - Real World Outcomes. 4(3). 167–173. 2 indexed citations
18.
Saito, Yoshihiko, Sadanori Okada, Hisao Ogawa, et al.. (2016). Low-Dose Aspirin for Primary Prevention of Cardiovascular Events in Patients With Type 2 Diabetes Mellitus. Circulation. 135(7). 659–670. 89 indexed citations
19.
Sakuma, Mio, et al.. (2016). Prevention of Medication Errors in Hospitalized Patients: The Japan Adverse Drug Events Study. Drug Safety. 39(11). 1129–1137. 11 indexed citations
20.
Sakuma, Mio, Takeshi Morimoto, Toshiaki Kikuchi, et al.. (2016). The epidemiology of adverse drug events and medication errors among psychiatric inpatients in Japan: the JADE study. BMC Psychiatry. 16(1). 303–303. 24 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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