Morio Kuramochi
- Pulmonary and Respiratory Medicine top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Nephrology top 5%
- Co-authors
- Teruo OmaeShunichi KojimaMasao IkedaKunitake HashibaSatoru MatsushitaMitsuo MiyaharaKiku NakaoShinichi Kimata
- Topics
- Renin-Angiotensin System Studies (14 papers)Hormonal Regulation and Hypertension (13 papers)Blood Pressure and Hypertension Studies (10 papers)
- Journals
- CirculationJournal of the American College of CardiologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited States
In The Last Decade
Morio Kuramochi
71 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Pulmonary and Respiratory Medicine 600
- Cardiology and Cardiovascular Medicine 509
- Surgery 354
- Endocrinology, Diabetes and Metabolism 216
- Nephrology 198
Countries citing papers authored by Morio Kuramochi
This map shows the geographic impact of Morio Kuramochi'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 Morio Kuramochi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Morio Kuramochi more than expected).
Fields of papers citing papers by Morio Kuramochi
This network shows the impact of papers produced by Morio Kuramochi. 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 Morio Kuramochi. The network helps show where Morio Kuramochi may publish in the future.
Co-authorship network of co-authors of Morio Kuramochi
This figure shows the co-authorship network connecting the top 25 collaborators of Morio Kuramochi. A scholar is included among the top collaborators of Morio Kuramochi 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 Morio Kuramochi. Morio Kuramochi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 7 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | A Possible Mechanism of Hypotension During LDL Apheresis in Patients Taking ACE Inhibitors(LDL-Apheresis) : | 1 |
| 6 | 6 | |
| 7 | 16 | |
| 8 | 2 | |
| 9 | 58 | |
| 10 | 10 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 22 | |
| 16 | 19 | |
| 17 | 36 | |
| 18 | 3 | |
| 19 | 5 | |
| 20 | 18 |
About Morio Kuramochi
Morio Kuramochi is a scholar working on Cardiology and Cardiovascular Medicine, Microbiology and Endocrinology, Diabetes and Metabolism, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (14 papers), Hormonal Regulation and Hypertension (13 papers) and Blood Pressure and Hypertension Studies (10 papers). The work is most often cited by research in Nephrology (198 citations), Cardiology and Cardiovascular Medicine (509 citations) and Pulmonary and Respiratory Medicine (600 citations). Morio Kuramochi has collaborated with scholars based in Japan and United States. Frequent co-authors include Teruo Omae, Shunichi Kojima, Masao Ikeda, Kunitake Hashiba, Satoru Matsushita, Mitsuo Miyahara, Kiku Nakao, Shinichi Kimata, Yoshiyuki Takeda and Toshio Ozawa. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and The Journal of Clinical Endocrinology & Metabolism.
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.