Ikuko Nakamura
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Nephrology top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- Shinya NakamuraAgnes B. FogoDouglas E. VaughanLijun MaNancy J. BrownMichael L. FreemanHaichun YangXiubin Liang
- Topics
- Renin-Angiotensin System Studies (3 papers)Cancer Genomics and Diagnostics (3 papers)Lung Cancer Treatments and Mutations (3 papers)
- Journals
- Journal of the American College of CardiologyScientific ReportsBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Ikuko Nakamura
18 papers receiving 682 citations
Peers
Comparison fields: 5 of 76
- Endocrinology, Diabetes and Metabolism 241
- Cardiology and Cardiovascular Medicine 222
- Molecular Biology 210
- Nephrology 141
- Pulmonary and Respiratory Medicine 140
Countries citing papers authored by Ikuko Nakamura
This map shows the geographic impact of Ikuko 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 Ikuko Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ikuko Nakamura more than expected).
Fields of papers citing papers by Ikuko Nakamura
This network shows the impact of papers produced by Ikuko 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 Ikuko Nakamura. The network helps show where Ikuko Nakamura may publish in the future.
Co-authorship network of co-authors of Ikuko Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Ikuko Nakamura. A scholar is included among the top collaborators of Ikuko 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 Ikuko Nakamura. Ikuko 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 | 2 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 39 | |
| 6 | 31 | |
| 7 | 7 | |
| 8 | 13 | |
| 9 | 41 | |
| 10 | 33 | |
| 11 | 24 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 7 | |
| 15 | 119 | |
| 16 | 215 | |
| 17 | 148 | |
| 18 | 1 | |
| 19 | Clinical and pathological studies of Pulmonary asbestosis | 2 |
About Ikuko Nakamura
Ikuko Nakamura is a scholar working on Cancer Research, Nephrology and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 699 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (3 papers), Cancer Genomics and Diagnostics (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Nephrology (141 citations), Endocrinology, Diabetes and Metabolism (241 citations) and Cardiology and Cardiovascular Medicine (222 citations). Ikuko Nakamura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shinya Nakamura, Agnes B. Fogo, Douglas E. Vaughan, Lijun Ma, Nancy J. Brown, Michael L. Freeman, Lijun Ma, Haichun Yang, Xiubin Liang and Carmelita Marcantoni. Their work appears in journals such as Journal of the American College of Cardiology, Scientific Reports and Biochemical and Biophysical Research Communications.
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.