Setsuya Naito
- Immunology top 5%
- Rheumatology top 5%
- Pathology and Forensic Medicine top 5%
- Nephrology top 5%
- Genetics
- Co-authors
- M. R. MickeyNorman S. NamerowP I TerasakiTakehiko SasazukiKikuo ArakawaItsuo IwamotoB. R. HawkinsS. W. Serjeantson
- Topics
- Renal Diseases and Glomerulopathies (15 papers)Systemic Lupus Erythematosus Research (14 papers)T-cell and B-cell Immunology (11 papers)
- Cited by
- NephrologyImmunologyRheumatology
- Journals
- NatureNeurologyKidney International
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Setsuya Naito
47 papers receiving 975 citations
Peers
Comparison fields: 5 of 81
- Immunology 523
- Rheumatology 274
- Pathology and Forensic Medicine 254
- Nephrology 203
- Genetics 151
Countries citing papers authored by Setsuya Naito
This map shows the geographic impact of Setsuya Naito'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 Setsuya Naito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Setsuya Naito more than expected).
Fields of papers citing papers by Setsuya Naito
This network shows the impact of papers produced by Setsuya Naito. 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 Setsuya Naito. The network helps show where Setsuya Naito may publish in the future.
Co-authorship network of co-authors of Setsuya Naito
This figure shows the co-authorship network connecting the top 25 collaborators of Setsuya Naito. A scholar is included among the top collaborators of Setsuya Naito 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 Setsuya Naito. Setsuya Naito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A rare case of dermatomyositis associated with immune-complex type glomerulonephritis, idiopathic thrombopenic purpura, pulmonary fibrosis and lung cancer. | 14 |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 16 | |
| 7 | 23 | |
| 8 | 49 | |
| 9 | 22 | |
| 10 | 8 | |
| 11 | [HLA study in 108 Japanese patients with Crohn's disease]. | 2 |
| 12 | 24 | |
| 13 | 4 | |
| 14 | 79 | |
| 15 | 38 | |
| 16 | 41 | |
| 17 | Immunological studies in Crohn's disease. I. Association with HLA systems in the Japanese. | 29 |
| 18 | 1 | |
| 19 | 46 | |
| 20 | 3 |
About Setsuya Naito
Setsuya Naito is a scholar working on Nephrology, Immunology and Rheumatology, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (15 papers), Systemic Lupus Erythematosus Research (14 papers) and T-cell and B-cell Immunology (11 papers). The work is most often cited by research in Nephrology (203 citations), Immunology (523 citations) and Rheumatology (274 citations). Setsuya Naito has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include M. R. Mickey, Norman S. Namerow, P I Terasaki, Takehiko Sasazuki, Kikuo Arakawa, Itsuo Iwamoto, B. R. Hawkins, S. W. Serjeantson, Masako Tanimura and H. Dunckley. Their work appears in journals such as Nature, Neurology and Kidney International.
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.