N Nagaya
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Genetics top 5%
- Co-authors
- Kenji KangawaTakeshi FujiiSatoshi KitamuraTohru ItohTakeshi MatsumotoT. IwaseAlbert A. HerreraLisa R. Banner
- Topics
- Pulmonary Hypertension Research and Treatments (8 papers)Mesenchymal stem cell research (5 papers)Cardiovascular Function and Risk Factors (5 papers)
- Partner nations
- JapanUnited States
In The Last Decade
N Nagaya
23 papers receiving 823 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 260
- Pulmonary and Respiratory Medicine 221
- Cardiology and Cardiovascular Medicine 199
- Surgery 198
- Genetics 192
Countries citing papers authored by N Nagaya
This map shows the geographic impact of N Nagaya'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 N Nagaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N Nagaya more than expected).
Fields of papers citing papers by N Nagaya
This network shows the impact of papers produced by N Nagaya. 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 N Nagaya. The network helps show where N Nagaya may publish in the future.
Co-authorship network of co-authors of N Nagaya
This figure shows the co-authorship network connecting the top 25 collaborators of N Nagaya. A scholar is included among the top collaborators of N Nagaya 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 N Nagaya. N Nagaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | Adipose-Derived Stem Cell Sheet Transplantation Therapy on Swine Chronic Heart Failure Model | 1 |
| 3 | 56 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 14 | |
| 7 | 207 | |
| 8 | Cell therapy for pulmonary hypertension: What is the true potential of endothelial progenitor cells? Response | 2 |
| 9 | 75 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 56 | |
| 13 | [Plasma brain natriuretic peptide as a prognostic indicator in patients with primary pulmonary hypertension]. | 25 |
| 14 | 82 | |
| 15 | 41 | |
| 16 | 53 | |
| 17 | 22 | |
| 18 | 4 | |
| 19 | 15 | |
| 20 | 51 |
About N Nagaya
N Nagaya is a scholar working on Genetics, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 846 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (8 papers), Mesenchymal stem cell research (5 papers) and Cardiovascular Function and Risk Factors (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (125 citations), Genetics (192 citations) and Cellular and Molecular Neuroscience (186 citations). N Nagaya has collaborated with scholars based in Japan and United States. Frequent co-authors include Kenji Kangawa, Takeshi Fujii, Satoshi Kitamura, Tohru Itoh, Takeshi Matsumoto, T. Iwase, Albert A. Herrera, Lisa R. Banner, Shunsuke Ohnishi and Masaaki Uematsu. Their work appears in journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and The Journal of 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.