Toshiko Nagata
- Rheumatology top 5%
- Surgery
- Epidemiology
- Nephrology top 10%
- Molecular Biology
- Co-authors
- Yukihisa UmedaHiroya MasakiYasukiyo MoriAtsuko NoseYasuaki KijimaYoko Uchiyama‐TanakaToshiji IwasakaToshiko Tokoro
- Topics
- Systemic Lupus Erythematosus Research (5 papers)Renal Diseases and Glomerulopathies (5 papers)Hepatitis C virus research (3 papers)
- Cited by
- RheumatologyNephrologyHepatology
In The Last Decade
Toshiko Nagata
15 papers receiving 294 citations
Peers
Comparison fields: 5 of 47
- Rheumatology 191
- Surgery 110
- Epidemiology 109
- Nephrology 74
- Molecular Biology 70
Countries citing papers authored by Toshiko Nagata
This map shows the geographic impact of Toshiko Nagata'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 Toshiko Nagata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshiko Nagata more than expected).
Fields of papers citing papers by Toshiko Nagata
This network shows the impact of papers produced by Toshiko Nagata. 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 Toshiko Nagata. The network helps show where Toshiko Nagata may publish in the future.
Co-authorship network of co-authors of Toshiko Nagata
This figure shows the co-authorship network connecting the top 25 collaborators of Toshiko Nagata. A scholar is included among the top collaborators of Toshiko Nagata 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 Toshiko Nagata. Toshiko Nagata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 18 | |
| 3 | 39 | |
| 4 | 140 | |
| 5 | 27 | |
| 6 | 9 | |
| 7 | 24 | |
| 8 | 7 | |
| 9 | 15 | |
| 10 | 12 | |
| 11 | Predictive factors for efficacy of interferon therapy in chronic hepatitis type C. | 3 |
| 12 | [Clinical investigation of urinary dipeptidyl aminopeptidase IV (DAP IV) activity in patients with primary glomerular diseases]. | 1 |
| 13 | [A case of lupus cystitis complicated by membranous lupus nephritis]. | 4 |
| 14 | Platelet vasopressin receptor in patients with chronic renal failure. | 2 |
| 15 | Urinary Dipeptidyl Aminopeptidase IV (U-DAP IV) Activity in Patients with Impaired Glucose Tolerance and Diabetes Mellitus | 1 |
About Toshiko Nagata
Toshiko Nagata is a scholar working on Nephrology, Rheumatology and Hepatology, having authored 15 papers that have together received 309 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (5 papers), Renal Diseases and Glomerulopathies (5 papers) and Hepatitis C virus research (3 papers). The work is most often cited by research in Rheumatology (191 citations), Nephrology (74 citations) and Hepatology (30 citations). Toshiko Nagata has collaborated with scholars based in Japan and China. Frequent co-authors include Yukihisa Umeda, Hiroya Masaki, Yasukiyo Mori, Atsuko Nose, Yasuaki Kijima, Yoko Uchiyama‐Tanaka, Toshiji Iwasaka, Toshiko Tokoro, Noriko Kishimoto and Kazuhiro Sonomura. Their work appears in journals such as Applied Catalysis A General, American Journal of Kidney Diseases and Clinical Nephrology.
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.