Mio Sakuma
- Geriatrics and Gerontology top 1%
- Emergency Medical Services top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Takeshi MorimotoDavid W. BatesShinichiro UedaMasako WakiSadanori OkadaHisao OgawaHirofumi SoejimaMasafumi Nakayama
- Topics
- Pharmaceutical Practices and Patient Outcomes (20 papers)Patient Safety and Medication Errors (15 papers)Diabetes Treatment and Management (11 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Mio Sakuma
59 papers receiving 860 citations
Peers
Comparison fields: 5 of 103
- Geriatrics and Gerontology 268
- Emergency Medical Services 185
- Cardiology and Cardiovascular Medicine 181
- Surgery 131
- Endocrinology, Diabetes and Metabolism 122
Countries citing papers authored by Mio Sakuma
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 12 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | Effect of Anagliptin versus Sitagliptin on Inflammatory Markers: Sub-Analysis from the REASON Trial | 0 |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 11 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 31 | |
| 16 | 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 | 1 |
| 17 | 2 | |
| 18 | 89 | |
| 19 | 11 | |
| 20 | 24 |
About Mio Sakuma
Mio Sakuma is a scholar working on Geriatrics and Gerontology, Toxicology and Emergency Medical Services, having authored 60 papers that have together received 889 indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (20 papers), Patient Safety and Medication Errors (15 papers) and Diabetes Treatment and Management (11 papers). The work is most often cited by research in Geriatrics and Gerontology (268 citations), Toxicology (102 citations) and Emergency Medical Services (185 citations). Mio Sakuma has collaborated with scholars based in Japan, United States and Netherlands. Frequent 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. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.
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.