Keiko Nagira
- Rheumatology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Surgery
- Oncology
- Orthopedics and Sports Medicine top 10%
- Co-authors
- Masahiro KurosakaTetsuji YamamotoTakashi MaruiToshihiro AkisueToshiaki HitoraTetsuya NakataniShinichi YoshiyaTeruya Kawamoto
- Topics
- Sarcoma Diagnosis and Treatment (21 papers)Bone Tumor Diagnosis and Treatments (13 papers)Musculoskeletal synovial abnormalities and treatments (11 papers)
- Journals
- Clinical Cancer ResearchClinical Orthopaedics and Related ResearchThe American Journal of Surgical Pathology
- Partner nations
- Japan
In The Last Decade
Keiko Nagira
41 papers receiving 467 citations
Peers
Comparison fields: 5 of 52
- Rheumatology 273
- Pulmonary and Respiratory Medicine 239
- Surgery 205
- Oncology 64
- Orthopedics and Sports Medicine 63
Countries citing papers authored by Keiko Nagira
This map shows the geographic impact of Keiko Nagira'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 Keiko Nagira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Nagira more than expected).
Fields of papers citing papers by Keiko Nagira
This network shows the impact of papers produced by Keiko Nagira. 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 Keiko Nagira. The network helps show where Keiko Nagira may publish in the future.
Co-authorship network of co-authors of Keiko Nagira
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Nagira. A scholar is included among the top collaborators of Keiko Nagira 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 Keiko Nagira. Keiko Nagira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | Expression of stem cell factor and c-kit in human malignant fibrous histiocytoma cell line (TNMY1). | 6 |
| 7 | 17 | |
| 8 | Fine-needle aspiration biopsy in the initial diagnosis of bone lesions. | 9 |
| 9 | Immunohistochemical analysis of platelet-derived growth factor and its receptors in soft tissue malignant fibrous histiocytoma. | 8 |
| 10 | Management of liposarcoma occurring in pregnant women. | 6 |
| 11 | 11 | |
| 12 | 15 | |
| 13 | 43 | |
| 14 | 11 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | 6 | |
| 18 | 14 | |
| 19 | 7 | |
| 20 | 21 |
About Keiko Nagira
Keiko Nagira is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine and Orthopedics and Sports Medicine, having authored 41 papers that have together received 495 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (21 papers), Bone Tumor Diagnosis and Treatments (13 papers) and Musculoskeletal synovial abnormalities and treatments (11 papers). The work is most often cited by research in Rheumatology (273 citations), Pulmonary and Respiratory Medicine (239 citations) and Orthopedics and Sports Medicine (63 citations). Keiko Nagira has collaborated with scholars based in Japan. Frequent co-authors include Masahiro Kurosaka, Tetsuji Yamamoto, Takashi Marui, Toshihiro Akisue, Toshiaki Hitora, Tetsuya Nakatani, Shinichi Yoshiya, Teruya Kawamoto, Ikuo Fujita and Chiho Ohbayashi. Their work appears in journals such as Clinical Cancer Research, Clinical Orthopaedics and Related Research and The American Journal of Surgical Pathology.
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.