Masuo Hosokawa
- Molecular Biology top 10%
- Oncology top 5%
- Immunology top 5%
- Cancer Research top 2%
- Genetics top 10%
- Co-authors
- Masanobu KobayashiHiroshi KobayashiFutoshi OkadaMasahiro AsakaJingxin WangJunichi HamadaNoritoshi TakeichiKiyoshi Morikawa
- Topics
- Immunotherapy and Immune Responses (18 papers)Cancer Research and Treatments (16 papers)Virus-based gene therapy research (13 papers)
- Partner nations
- JapanIndiaUnited States
In The Last Decade
Masuo Hosokawa
88 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 1.2k
- Oncology 854
- Immunology 779
- Cancer Research 657
- Genetics 215
Countries citing papers authored by Masuo Hosokawa
This map shows the geographic impact of Masuo Hosokawa'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 Masuo Hosokawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masuo Hosokawa more than expected).
Fields of papers citing papers by Masuo Hosokawa
This network shows the impact of papers produced by Masuo Hosokawa. 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 Masuo Hosokawa. The network helps show where Masuo Hosokawa may publish in the future.
Co-authorship network of co-authors of Masuo Hosokawa
This figure shows the co-authorship network connecting the top 25 collaborators of Masuo Hosokawa. A scholar is included among the top collaborators of Masuo Hosokawa 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 Masuo Hosokawa. Masuo Hosokawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 196 | |
| 2 | 159 | |
| 3 | Detection of apoptotic tumor response in vivo after a single dose of chemotherapy with 99mTc-annexin V. | 64 |
| 4 | 68 | |
| 5 | 109 | |
| 6 | 49 | |
| 7 | 9 | |
| 8 | 22 | |
| 9 | 12 | |
| 10 | 62 | |
| 11 | 21 | |
| 12 | 17 | |
| 13 | 3 | |
| 14 | 18 | |
| 15 | 30 | |
| 16 | 11 | |
| 17 | 5 | |
| 18 | 45 | |
| 19 | Detection of delayed hypersensitivity reaction in rats by radioisotopic footpad assay with sodium deoxycholate extract and mitomycin-C-treated tumor cells. | 1 |
| 20 | Immunochemotherapy of transplanted KMT-17 tumor in WKA rats by combination of cyclophosphamide and immunostimulatory protein-bound polysaccharide isolated from basidiomycetes. | 39 |
About Masuo Hosokawa
Masuo Hosokawa is a scholar working on Biotechnology, Immunology and Allergy and Immunology, having authored 88 papers that have together received 2.7k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (18 papers), Cancer Research and Treatments (16 papers) and Virus-based gene therapy research (13 papers). The work is most often cited by research in Cancer Research (657 citations), Immunology (779 citations) and Immunology and Allergy (193 citations). Masuo Hosokawa has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Masanobu Kobayashi, Hiroshi Kobayashi, Futoshi Okada, Masahiro Asaka, Jingxin Wang, Junichi Hamada, Noritoshi Takeichi, Kiyoshi Morikawa, Jian Chen and Tokushige Kobayashi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and Hepatology.
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.