Masanori Oshi
- Oncology top 2%
- Molecular Biology top 5%
- Cancer Research top 2%
- Pulmonary and Respiratory Medicine top 2%
- Immunology top 5%
- Co-authors
- Kazuaki TakabeItaru EndoLi YanYoshihisa TokumaruRyusei MatsuyamaMariko AsaokaTakashi IshikawaOmar M. Rashid
- Topics
- Ferroptosis and cancer prognosis (41 papers)Cancer Immunotherapy and Biomarkers (36 papers)Cancer Genomics and Diagnostics (23 papers)
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaCancer Research
- Partner nations
- JapanUnited States
In The Last Decade
Masanori Oshi
121 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 92
- Oncology 1.4k
- Molecular Biology 1.3k
- Cancer Research 1.1k
- Pulmonary and Respiratory Medicine 961
- Immunology 640
Countries citing papers authored by Masanori Oshi
This map shows the geographic impact of Masanori Oshi'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 Masanori Oshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masanori Oshi more than expected).
Fields of papers citing papers by Masanori Oshi
This network shows the impact of papers produced by Masanori Oshi. 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 Masanori Oshi. The network helps show where Masanori Oshi may publish in the future.
Co-authorship network of co-authors of Masanori Oshi
This figure shows the co-authorship network connecting the top 25 collaborators of Masanori Oshi. A scholar is included among the top collaborators of Masanori Oshi 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 Masanori Oshi. Masanori Oshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 0 | |
| 9 | 24 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | 10 | |
| 13 | A novel five-gene score to predict complete pathological response to neoadjuvant chemotherapy in ER-positive/HER2-negative breast cancer. | 10 |
| 14 | 13 | |
| 15 | 38 | |
| 16 | 41 | |
| 17 | 18 | |
| 18 | 38 | |
| 19 | 42 | |
| 20 | 13 |
About Masanori Oshi
Masanori Oshi is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 132 papers that have together received 2.8k indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (41 papers), Cancer Immunotherapy and Biomarkers (36 papers) and Cancer Genomics and Diagnostics (23 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (1.4k citations) and Immunology (640 citations). Masanori Oshi has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazuaki Takabe, Itaru Endo, Li Yan, Yoshihisa Tokumaru, Ryusei Matsuyama, Mariko Asaoka, Takashi Ishikawa, Omar M. Rashid, Hideo Takahashi and Eriko Katsuta. 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.