Clara Kurishima
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Surgery
- Physiology
- Co-authors
- Hideaki SenzakiSatoshi MasutaniHirofumi SaikiSeiko KuwataMasanori TamuraMasaya SugimotoJ. PowersFabio A. Recchia
- Topics
- Congenital Heart Disease Studies (26 papers)Cardiovascular Function and Risk Factors (14 papers)Aortic Disease and Treatment Approaches (7 papers)
- Journals
- CirculationThe American Journal of CardiologyAmerican Journal of Physiology-Heart and Circulatory Physiology
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Clara Kurishima
46 papers receiving 891 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Cardiology and Cardiovascular Medicine 427
- Epidemiology 358
- Pulmonary and Respiratory Medicine 264
- Surgery 215
- Physiology 184
Countries citing papers authored by Clara Kurishima
This map shows the geographic impact of Clara Kurishima'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 Clara Kurishima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara Kurishima more than expected).
Fields of papers citing papers by Clara Kurishima
This network shows the impact of papers produced by Clara Kurishima. 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 Clara Kurishima. The network helps show where Clara Kurishima may publish in the future.
Co-authorship network of co-authors of Clara Kurishima
This figure shows the co-authorship network connecting the top 25 collaborators of Clara Kurishima. A scholar is included among the top collaborators of Clara Kurishima 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 Clara Kurishima. Clara Kurishima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 38 | |
| 4 | 11 | |
| 5 | 22 | |
| 6 | 11 | |
| 7 | 13 | |
| 8 | 15 | |
| 9 | 23 | |
| 10 | Abstract 19961: Factors Associated with Glucose Intolerance and Abnormal Lipid Metabolism in Fontan Patients | 1 |
| 11 | 17 | |
| 12 | 5 | |
| 13 | 10 | |
| 14 | 27 | |
| 15 | 5 | |
| 16 | Unique Hormonal Response after Fontan Operation: Aldosterone-Cortisol Imbalance | 1 |
| 17 | 12 | |
| 18 | 5 | |
| 19 | 13 | |
| 20 | 32 |
About Clara Kurishima
Clara Kurishima is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 897 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (26 papers), Cardiovascular Function and Risk Factors (14 papers) and Aortic Disease and Treatment Approaches (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (427 citations), Epidemiology (358 citations) and Pulmonary and Respiratory Medicine (264 citations). Clara Kurishima has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Hideaki Senzaki, Satoshi Masutani, Hirofumi Saiki, Seiko Kuwata, Masanori Tamura, Masaya Sugimoto, J. Powers, Fabio A. Recchia, Hirotaka Ishido and Timothy Matsuura. Their work appears in journals such as Circulation, The American Journal of Cardiology and American Journal of Physiology-Heart and Circulatory Physiology.
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.