Takeshi Morimoto
- Surgery top 0.5%
- Cardiology and Cardiovascular Medicine top 0.5%
- Pulmonary and Respiratory Medicine top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Oncology top 2%
- Co-authors
- Takeshi KimuraYoshihisa NakagawaTsuguya FukuiTakashi HiraiYasuhiro KoderaTomoyuki KatoKenzo YasuiYutaka Furukawa
- Topics
- Coronary Interventions and Diagnostics (93 papers)Cardiac Imaging and Diagnostics (68 papers)Acute Myocardial Infarction Research (55 papers)
- Journals
- The LancetJAMACirculation
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Takeshi Morimoto
515 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Surgery 4.5k
- Cardiology and Cardiovascular Medicine 3.9k
- Pulmonary and Respiratory Medicine 2.8k
- Radiology, Nuclear Medicine and Imaging 1.8k
- Oncology 1.4k
Countries citing papers authored by Takeshi Morimoto
This map shows the geographic impact of Takeshi Morimoto'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 Takeshi Morimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Morimoto more than expected).
Fields of papers citing papers by Takeshi Morimoto
This network shows the impact of papers produced by Takeshi Morimoto. 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 Takeshi Morimoto. The network helps show where Takeshi Morimoto may publish in the future.
Co-authorship network of co-authors of Takeshi Morimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Morimoto. A scholar is included among the top collaborators of Takeshi Morimoto 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 Takeshi Morimoto. Takeshi Morimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 18 | |
| 12 | 20 | |
| 13 | Effect of Anagliptin versus Sitagliptin on Inflammatory Markers: Sub-Analysis from the REASON Trial | 0 |
| 14 | 7 | |
| 15 | Association Between Active Gait Training for Severely Disabled Patients with Nasogastric Tube Feeding or Gastrostoma and Recovery of Oral Feeding: A Retrospective Cohort Study | 1 |
| 16 | 11 | |
| 17 | 16 | |
| 18 | 89 | |
| 19 | 15 | |
| 20 | 1 |
About Takeshi Morimoto
Takeshi Morimoto is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology, having authored 550 papers that have together received 11.7k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (93 papers), Cardiac Imaging and Diagnostics (68 papers) and Acute Myocardial Infarction Research (55 papers). The work is most often cited by research in Geriatrics and Gerontology (845 citations), Cardiology and Cardiovascular Medicine (3.9k citations) and Internal Medicine (520 citations). Takeshi Morimoto has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Takeshi Kimura, Yoshihisa Nakagawa, Tsuguya Fukui, Takashi Hirai, Yasuhiro Kodera, Tomoyuki Kato, Kenzo Yasui, Yutaka Furukawa, Hiroki Shiomi and Yoshitaka Yamamura. Their work appears in journals such as The Lancet, JAMA and Circulation.
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.