Ken Nakamura
- Pulmonary and Respiratory Medicine top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Genetics
- Surgery
- Co-authors
- Albert J PedrozaMichael P. FischbeinI. KubotaS YasuiMichiyasu YamakiTsuneo KontaJason Z. CuiWilliam Hiesinger
- Topics
- Aortic Disease and Treatment Approaches (15 papers)Aortic aneurysm repair treatments (14 papers)Connective tissue disorders research (8 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Ken Nakamura
25 papers receiving 399 citations
Peers
Comparison fields: 5 of 49
- Pulmonary and Respiratory Medicine 209
- Cardiology and Cardiovascular Medicine 160
- Molecular Biology 153
- Genetics 107
- Surgery 47
Countries citing papers authored by Ken Nakamura
This map shows the geographic impact of Ken Nakamura'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 Ken Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Nakamura more than expected).
Fields of papers citing papers by Ken Nakamura
This network shows the impact of papers produced by Ken Nakamura. 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 Ken Nakamura. The network helps show where Ken Nakamura may publish in the future.
Co-authorship network of co-authors of Ken Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Nakamura. A scholar is included among the top collaborators of Ken Nakamura 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 Ken Nakamura. Ken Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 21 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 0 | |
| 17 | 24 | |
| 18 | Re-do Replacement Surgery for Degenerated Stentless Bioprostheses: The Open "Valve-in -Valve" Technique (Case Reports) | 0 |
| 19 | Resolusion of a large floating thrombus in intact descending aorta under anticoagulant therapy | 1 |
| 20 | 0 |
About Ken Nakamura
Ken Nakamura is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Radiation, having authored 32 papers that have together received 402 indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (15 papers), Aortic aneurysm repair treatments (14 papers) and Connective tissue disorders research (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (160 citations), Pulmonary and Respiratory Medicine (209 citations) and Genetics (107 citations). Ken Nakamura has collaborated with scholars based in Japan and United States. Frequent co-authors include Albert J Pedroza, Michael P. Fischbein, I. Kubota, S Yasui, Michiyasu Yamaki, Tsuneo Konta, Jason Z. Cui, William Hiesinger, Cristiana Iosef and Paul Cheng. Their work appears in journals such as Circulation, PLoS ONE and Arteriosclerosis Thrombosis and Vascular Biology.
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.