Terumasa Sawada
- Cancer Research top 10%
- Breast Cancer Treatment Studies 6
- Cancer Genomics and Diagnostics 4
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas 4
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- Cancer Treatment and Pharmacology 3
- Cancer Cells and Metastasis 3
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- MRI in cancer diagnosis 2
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- BRCA gene mutations in cancer 5
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- DNA Repair Mechanisms 2
- Co-authors
- Takafumi IkedaMasakazu ToiTakayuki KinoshitaKenichi YoshimuraTomoharu SugieSeigo NakamuraHirofumi SuwaNobumi Tagaya
- Journals
- Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (1 paper)Cancer Research (1 paper)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Terumasa Sawada
23 papers receiving 453 citations
Peers
Comparison fields: 5 of 57
- Cancer Research 249
- Pathology and Forensic Medicine 173
- Oncology 163
- Pulmonary and Respiratory Medicine 84
- Radiology, Nuclear Medicine and Imaging 55
Countries citing papers authored by Terumasa Sawada
This map shows the geographic impact of Terumasa Sawada'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 Terumasa Sawada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terumasa Sawada more than expected).
Fields of papers citing papers by Terumasa Sawada
This network shows the impact of papers produced by Terumasa Sawada. 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 Terumasa Sawada. The network helps show where Terumasa Sawada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Terumasa Sawada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | 2022 | 3 | |
| 3 | 2021 | 1 | |
| 4 | 2020 | 16 | |
| 5 | 2020 | 0 | |
| 6 | 2020 | 1 | |
| 7 | 2019 | 20 | |
| 8 | 2019 | 15 | |
| 9 | 2018 | 10 | |
| 10 | 2015 | 28 | |
| 11 | 2015 | 79 | |
| 12 | 2015 | 1 | |
| 13 | 2014 | 44 | |
| 14 | 2013 | 123 | |
| 15 | 2010 | 1 | |
| 16 | [Evaluation of 5-fluorouracil-related genes in breast cancer to predict the effect of adjuvant therapy with CMF]. | 2009 | 4 |
| 17 | 2006 | 23 | |
| 18 | 2000 | 1 | |
| 19 | 1995 | 74 | |
| 20 | [Clinical significance of argyrophilic nucleolar organizer regions (AgNOR) and microvessel quantitation by staining for factor VIII-related antigen as prognostic indicators in stage I breast cancer]. | 1995 | 1 |
About Terumasa Sawada
Terumasa Sawada is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 24 papers that have together received 458 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), BRCA gene mutations in cancer (5 papers), Cancer Genomics and Diagnostics (4 papers), Breast Lesions and Carcinomas (4 papers), Cancer Treatment and Pharmacology (3 papers), Cancer Cells and Metastasis (3 papers), MRI in cancer diagnosis (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Cancer Research (249 citations), Pathology and Forensic Medicine (173 citations) and Oncology (163 citations). Terumasa Sawada has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Takafumi Ikeda, Masakazu Toi, Takayuki Kinoshita, Kenichi Yoshimura, Tomoharu Sugie, Seigo Nakamura, Hirofumi Suwa, Nobumi Tagaya, Akira Shimizu and Miyuki Niimi. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.
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.