Keiko Sugimoto
- Psychiatry and Mental health top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology top 10%
- Molecular Biology
- Cancer Research top 10%
- Co-authors
- Akira HommaLon R. WhiteHideo SasakiEvelyn L. TengDarryl ChiuTakenori YamaguchiEric B. LarsonKazuo Hasegawa
- Topics
- Takotsubo Cardiomyopathy and Associated Phenomena (9 papers)MicroRNA in disease regulation (6 papers)Traumatic Brain Injury and Neurovascular Disturbances (6 papers)
- Cited by
- Psychiatry and Mental healthNeuropsychology and Physiological PsychologyGeriatrics and Gerontology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEHepatology
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Keiko Sugimoto
46 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Psychiatry and Mental health 477
- Cardiology and Cardiovascular Medicine 330
- Epidemiology 281
- Molecular Biology 279
- Cancer Research 266
Countries citing papers authored by Keiko Sugimoto
This map shows the geographic impact of Keiko Sugimoto'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 Keiko Sugimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Sugimoto more than expected).
Fields of papers citing papers by Keiko Sugimoto
This network shows the impact of papers produced by Keiko Sugimoto. 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 Keiko Sugimoto. The network helps show where Keiko Sugimoto may publish in the future.
Co-authorship network of co-authors of Keiko Sugimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Sugimoto. A scholar is included among the top collaborators of Keiko Sugimoto 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 Keiko Sugimoto. Keiko Sugimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 22 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | 10 | |
| 9 | 22 | |
| 10 | 11 | |
| 11 | 13 | |
| 12 | 4 | |
| 13 | 271 | |
| 14 | 39 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 40 | |
| 18 | The Cognitive Abilities Screening Instrument (CASI): A Practical Test for Cross-Cultural Epidemiological Studies of Dementiabreakdown → | 743 |
| 19 | 3 | |
| 20 | 0 |
About Keiko Sugimoto
Keiko Sugimoto is a scholar working on Cardiology and Cardiovascular Medicine, Leadership and Management and Issues, ethics and legal aspects, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Takotsubo Cardiomyopathy and Associated Phenomena (9 papers), MicroRNA in disease regulation (6 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). The work is most often cited by research in Psychiatry and Mental health (477 citations), Neuropsychology and Physiological Psychology (27 citations) and Geriatrics and Gerontology (70 citations). Keiko Sugimoto has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Akira Homma, Lon R. White, Hideo Sasaki, Evelyn L. Teng, Darryl Chiu, Takenori Yamaguchi, Eric B. Larson, Kazuo Hasegawa, Amy Borenstein Graves and Keisuke Osakabe. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.
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.