Nobuo Tsuboi
- Nephrology top 0.5%
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Akinori NomaTakashi YokooGo KanzakiYusuke OkabayashiKentaro KoikeTatsuo HosoyaYasunori UtsunomiyaAkira Shimizu
- Topics
- Renal Diseases and Glomerulopathies (82 papers)Chronic Kidney Disease and Diabetes (54 papers)Birth, Development, and Health (25 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Nobuo Tsuboi
151 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 115
- Nephrology 811
- Molecular Biology 729
- Cardiology and Cardiovascular Medicine 450
- Pediatrics, Perinatology and Child Health 393
- Pulmonary and Respiratory Medicine 340
Countries citing papers authored by Nobuo Tsuboi
This map shows the geographic impact of Nobuo Tsuboi'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 Nobuo Tsuboi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuo Tsuboi more than expected).
Fields of papers citing papers by Nobuo Tsuboi
This network shows the impact of papers produced by Nobuo Tsuboi. 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 Nobuo Tsuboi. The network helps show where Nobuo Tsuboi may publish in the future.
Co-authorship network of co-authors of Nobuo Tsuboi
This figure shows the co-authorship network connecting the top 25 collaborators of Nobuo Tsuboi. A scholar is included among the top collaborators of Nobuo Tsuboi 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 Nobuo Tsuboi. Nobuo Tsuboi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 7 | |
| 14 | 0 | |
| 15 | 6 | |
| 16 | 17 | |
| 17 | 28 | |
| 18 | 2 | |
| 19 | 7 | |
| 20 | A 65 nm Ultra-High-Density Dual-port SRAM with 0.71um2 8T-cell for SoC | 3 |
About Nobuo Tsuboi
Nobuo Tsuboi is a scholar working on Nephrology, Transplantation and Pediatrics, Perinatology and Child Health, having authored 170 papers that have together received 2.3k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (82 papers), Chronic Kidney Disease and Diabetes (54 papers) and Birth, Development, and Health (25 papers). The work is most often cited by research in Nephrology (811 citations), Transplantation (102 citations) and Pediatrics, Perinatology and Child Health (393 citations). Nobuo Tsuboi has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Akinori Noma, Takashi Yokoo, Go Kanzaki, Yusuke Okabayashi, Kentaro Koike, Tatsuo Hosoya, Yasunori Utsunomiya, Akira Shimizu, Tetsuya Kawamura and Kotaro Haruhara. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.
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.