Reiko Nagano
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Public Health, Environmental and Occupational Health top 10%
- Genetics top 10%
- Co-authors
- Johji NaitoTohru MasuyamaToshiaki ManoHiroya KondoSeiichiroh OhsakoKazuhiro YamamotoTakenobu KamadaMasatsugu Hori
- Topics
- Cardiovascular Function and Risk Factors (19 papers)Cardiac Imaging and Diagnostics (12 papers)Sperm and Testicular Function (6 papers)
- Cited by
- Cardiology and Cardiovascular MedicineReproductive MedicineRadiology, Nuclear Medicine and Imaging
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Reiko Nagano
54 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Cardiology and Cardiovascular Medicine 480
- Molecular Biology 459
- Radiology, Nuclear Medicine and Imaging 242
- Public Health, Environmental and Occupational Health 221
- Genetics 181
Countries citing papers authored by Reiko Nagano
This map shows the geographic impact of Reiko Nagano'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 Reiko Nagano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reiko Nagano more than expected).
Fields of papers citing papers by Reiko Nagano
This network shows the impact of papers produced by Reiko Nagano. 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 Reiko Nagano. The network helps show where Reiko Nagano may publish in the future.
Co-authorship network of co-authors of Reiko Nagano
This figure shows the co-authorship network connecting the top 25 collaborators of Reiko Nagano. A scholar is included among the top collaborators of Reiko Nagano 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 Reiko Nagano. Reiko Nagano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Inference of Gene Regulatory Networks to Detect Toxicity-Specific Effects in Human Embryonic Stem Cells | 1 |
| 2 | 1 | |
| 3 | 26 | |
| 4 | 11 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 56 | |
| 11 | 105 | |
| 12 | 20 | |
| 13 | 10 | |
| 14 | 28 | |
| 15 | 43 | |
| 16 | 28 | |
| 17 | 2 | |
| 18 | 65 | |
| 19 | 28 | |
| 20 | 32 |
About Reiko Nagano
Reiko Nagano is a scholar working on Cardiology and Cardiovascular Medicine, Reproductive Medicine and Radiology, Nuclear Medicine and Imaging, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (19 papers), Cardiac Imaging and Diagnostics (12 papers) and Sperm and Testicular Function (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (480 citations), Reproductive Medicine (104 citations) and Radiology, Nuclear Medicine and Imaging (242 citations). Reiko Nagano has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Johji Naito, Tohru Masuyama, Toshiaki Mano, Hiroya Kondo, Seiichiroh Ohsako, Kazuhiro Yamamoto, Takenobu Kamada, Masatsugu Hori, Jun Tanouchi and Michitoshi Inoue. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.
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.