Keisuke Tokuda
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology
- Surgery
- Pulmonary and Respiratory Medicine
- Oncology
- Co-authors
- Fumitaka KuwaharaTsutomu ImaizumiHisashi KaiAkira TakeshitaKensuke EgashiraMamiko KaiNobuhiro TaharaMotohiro Takeya
- Topics
- Cardiac Fibrosis and Remodeling (5 papers)Cardiovascular Disease and Adiposity (4 papers)Nitric Oxide and Endothelin Effects (4 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismCancer Research
- Partner nations
- Japan
In The Last Decade
Keisuke Tokuda
16 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Cardiology and Cardiovascular Medicine 933
- Molecular Biology 468
- Surgery 237
- Pulmonary and Respiratory Medicine 167
- Oncology 158
Countries citing papers authored by Keisuke Tokuda
This map shows the geographic impact of Keisuke Tokuda'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 Keisuke Tokuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Tokuda more than expected).
Fields of papers citing papers by Keisuke Tokuda
This network shows the impact of papers produced by Keisuke Tokuda. 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 Keisuke Tokuda. The network helps show where Keisuke Tokuda may publish in the future.
Co-authorship network of co-authors of Keisuke Tokuda
This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Tokuda. A scholar is included among the top collaborators of Keisuke Tokuda 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 Keisuke Tokuda. Keisuke Tokuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 93 | |
| 5 | 4 | |
| 6 | 149 | |
| 7 | 247 | |
| 8 | 36 | |
| 9 | 12 | |
| 10 | 79 | |
| 11 | 97 | |
| 12 | Transforming Growth Factor-β Function Blocking Prevents Myocardial Fibrosis and Diastolic Dysfunction in Pressure-Overloaded Ratsbreakdown → | 522 |
| 13 | 28 | |
| 14 | 86 | |
| 15 | 4 | |
| 16 | [Three cases of hypofibrinogenemia induced by chemotherapy with a combination of synthetic ACTH and valproic acid]. | 6 |
About Keisuke Tokuda
Keisuke Tokuda is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Rehabilitation, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (5 papers), Cardiovascular Disease and Adiposity (4 papers) and Nitric Oxide and Endothelin Effects (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (933 citations), Endocrinology, Diabetes and Metabolism (128 citations) and Cancer Research (108 citations). Keisuke Tokuda has collaborated with scholars based in Japan. Frequent co-authors include Fumitaka Kuwahara, Tsutomu Imaizumi, Hisashi Kai, Akira Takeshita, Kensuke Egashira, Mamiko Kai, Nobuhiro Tahara, Motohiro Takeya, Kiyoko Takemiya and Rei Shibata. Their work appears in journals such as Circulation, Hypertension and Journal of Cardiovascular Pharmacology.
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.