Hajime Nagasu
- Molecular Biology
- Nephrology top 1%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Immunology
- Co-authors
- Naoki KashiharaMinoru SatohKengo KidokoroTamaki SasakiTiffany HorngHal M. HoffmanTomohiko MurakamiLori Broderick
- Topics
- Chronic Kidney Disease and Diabetes (12 papers)Renal Diseases and Glomerulopathies (10 papers)Nitric Oxide and Endothelin Effects (6 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Hajime Nagasu
52 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 668
- Nephrology 463
- Endocrinology, Diabetes and Metabolism 304
- Surgery 288
- Immunology 210
Countries citing papers authored by Hajime Nagasu
This map shows the geographic impact of Hajime Nagasu'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 Hajime Nagasu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hajime Nagasu more than expected).
Fields of papers citing papers by Hajime Nagasu
This network shows the impact of papers produced by Hajime Nagasu. 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 Hajime Nagasu. The network helps show where Hajime Nagasu may publish in the future.
Co-authorship network of co-authors of Hajime Nagasu
This figure shows the co-authorship network connecting the top 25 collaborators of Hajime Nagasu. A scholar is included among the top collaborators of Hajime Nagasu 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 Hajime Nagasu. Hajime Nagasu 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 | 1 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | Oxidative stress and the role of redox signalling in chronic kidney diseasebreakdown → | 121 |
| 8 | 8 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 29 | |
| 12 | Inflammasome activation leads to Caspase-1–dependent mitochondrial damage and block of mitophagybreakdown → | 391 |
| 13 | 14 | |
| 14 | 64 | |
| 15 | 42 | |
| 16 | 10 | |
| 17 | 24 | |
| 18 | 11 | |
| 19 | 19 | |
| 20 | 13 |
About Hajime Nagasu
Hajime Nagasu is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (12 papers), Renal Diseases and Glomerulopathies (10 papers) and Nitric Oxide and Endothelin Effects (6 papers). The work is most often cited by research in Nephrology (463 citations), Endocrinology, Diabetes and Metabolism (304 citations) and Transplantation (32 citations). Hajime Nagasu has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Naoki Kashihara, Minoru Satoh, Kengo Kidokoro, Tamaki Sasaki, Tiffany Horng, Hal M. Hoffman, Tomohiko Murakami, Lori Broderick, Hoang Hai and Jiujiu Yu. 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.