Toshio Ushiyama
- Rheumatology top 2%
- Surgery
- Genetics
- Pharmacology top 10%
- Oncology
- Co-authors
- S HukudaKoji InoueH. UeyamaJunichi NishiokaTaku KawasakiK ShichikawaMika TsujimotoKayo Inoue
- Topics
- Osteoarthritis Treatment and Mechanisms (6 papers)Rheumatoid Arthritis Research and Therapies (4 papers)Knee injuries and reconstruction techniques (3 papers)
In The Last Decade
Toshio Ushiyama
20 papers receiving 818 citations
Peers
Comparison fields: 5 of 75
- Rheumatology 506
- Surgery 214
- Genetics 150
- Pharmacology 135
- Oncology 93
Countries citing papers authored by Toshio Ushiyama
This map shows the geographic impact of Toshio Ushiyama'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 Toshio Ushiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshio Ushiyama more than expected).
Fields of papers citing papers by Toshio Ushiyama
This network shows the impact of papers produced by Toshio Ushiyama. 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 Toshio Ushiyama. The network helps show where Toshio Ushiyama may publish in the future.
Co-authorship network of co-authors of Toshio Ushiyama
This figure shows the co-authorship network connecting the top 25 collaborators of Toshio Ushiyama. A scholar is included among the top collaborators of Toshio Ushiyama 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 Toshio Ushiyama. Toshio Ushiyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 19 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 7 | |
| 6 | 180 | |
| 7 | Enlargement of iliopsoas bursa in a patient with polymyalgia rheumatica. | 7 |
| 8 | 47 | |
| 9 | 18 | |
| 10 | Possible association of CYP17 gene polymorphisms with the onset of rheumatoid arthritis. | 8 |
| 11 | 101 | |
| 12 | 155 | |
| 13 | 16 | |
| 14 | 25 | |
| 15 | 16 | |
| 16 | 39 | |
| 17 | [Assessment of the American College of Rheumatology criteria for the classification and reporting of osteoarthritis of the knee]. | 24 |
| 18 | Estrogen receptor gene polymorphism and generalized osteoarthritis. | 107 |
| 19 | 10 | |
| 20 | Expression of estrogen receptor related protein (p29) and estradiol binding in human arthritic synovium. | 44 |
About Toshio Ushiyama
Toshio Ushiyama is a scholar working on Rheumatology, Surgery and Immunology and Allergy, having authored 20 papers that have together received 843 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (6 papers), Rheumatoid Arthritis Research and Therapies (4 papers) and Knee injuries and reconstruction techniques (3 papers). The work is most often cited by research in Rheumatology (506 citations), Complementary and Manual Therapy (22 citations) and Orthopedics and Sports Medicine (84 citations). Toshio Ushiyama has collaborated with scholars based in Japan and China. Frequent co-authors include S Hukuda, Koji Inoue, H. Ueyama, Junichi Nishioka, Koji Inoue, Taku Kawasaki, K Shichikawa, Mika Tsujimoto, Kayo Inoue and Masaomi Kimura. Their work appears in journals such as Annals of the Rheumatic Diseases, Osteoarthritis and Cartilage and Lara D. Veeken.
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.