Kiyoshi Doyama
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Physiology
- Surgery
- Co-authors
- Takako FujiwaraHisayoshi FujiwaraKoji HasegawaKazuwa NakaoSeiji OhtaniTsukasa InadaMasashi MukoyamaS Sasayama
- Topics
- Cardiomyopathy and Myosin Studies (6 papers)Viral Infections and Immunology Research (3 papers)Nitric Oxide and Endothelin Effects (2 papers)
In The Last Decade
Kiyoshi Doyama
17 papers receiving 589 citations
Peers
Comparison fields: 5 of 62
- Cardiology and Cardiovascular Medicine 448
- Molecular Biology 166
- Pulmonary and Respiratory Medicine 83
- Physiology 77
- Surgery 69
Countries citing papers authored by Kiyoshi Doyama
This map shows the geographic impact of Kiyoshi Doyama'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 Kiyoshi Doyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyoshi Doyama more than expected).
Fields of papers citing papers by Kiyoshi Doyama
This network shows the impact of papers produced by Kiyoshi Doyama. 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 Kiyoshi Doyama. The network helps show where Kiyoshi Doyama may publish in the future.
Co-authorship network of co-authors of Kiyoshi Doyama
This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Doyama. A scholar is included among the top collaborators of Kiyoshi Doyama 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 Kiyoshi Doyama. Kiyoshi Doyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [Usefulness of technetium-99m tetrofosmin single-photon emission computed tomography for short-term risk stratification in patients with acute chest pain in the emergency room]. | 1 |
| 2 | 89 | |
| 3 | 62 | |
| 4 | 28 | |
| 5 | 13 | |
| 6 | 18 | |
| 7 | 44 | |
| 8 | 53 | |
| 9 | 41 | |
| 10 | 169 | |
| 11 | Ventricular expression of atrial and brain natriuretic peptides in dilated cardiomyopathy. An immunohistocytochemical study of the endomyocardial biopsy specimens using specific monoclonal antibodies. | 44 |
| 12 | 12 | |
| 13 | 4 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 1 |
About Kiyoshi Doyama
Kiyoshi Doyama is a scholar working on Cardiology and Cardiovascular Medicine, Biotechnology and Cancer Research, having authored 17 papers that have together received 601 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (6 papers), Viral Infections and Immunology Research (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (448 citations), Developmental Neuroscience (16 citations) and Nephrology (25 citations). Kiyoshi Doyama has collaborated with scholars based in Japan and Greece. Frequent co-authors include Takako Fujiwara, Hisayoshi Fujiwara, Koji Hasegawa, Kazuwa Nakao, Seiji Ohtani, Tsukasa Inada, Masashi Mukoyama, S Sasayama, Masaru Tanaka and Hideto Imura. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and CHEST Journal.
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.