Masahiko Ikeda
- Oncology top 10%
- Molecular Biology
- Cancer Research top 10%
- Pathology and Forensic Medicine top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Junichi KurebayashiNoriaki TanakaKatsuhiro TanakaKenji ShimizuHiroshi SonooNagahide MatsubaraKeiko KawashimaHirotaka Shibuya
- Topics
- Cancer Treatment and Pharmacology (14 papers)Breast Cancer Treatment Studies (10 papers)Advanced Breast Cancer Therapies (9 papers)
- Journals
- Journal of Clinical OncologyScientific ReportsBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Masahiko Ikeda
51 papers receiving 630 citations
Peers
Comparison fields: 5 of 78
- Oncology 297
- Molecular Biology 218
- Cancer Research 183
- Pathology and Forensic Medicine 156
- Pulmonary and Respiratory Medicine 114
Countries citing papers authored by Masahiko Ikeda
This map shows the geographic impact of Masahiko Ikeda'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 Masahiko Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiko Ikeda more than expected).
Fields of papers citing papers by Masahiko Ikeda
This network shows the impact of papers produced by Masahiko Ikeda. 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 Masahiko Ikeda. The network helps show where Masahiko Ikeda may publish in the future.
Co-authorship network of co-authors of Masahiko Ikeda
This figure shows the co-authorship network connecting the top 25 collaborators of Masahiko Ikeda. A scholar is included among the top collaborators of Masahiko Ikeda 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 Masahiko Ikeda. Masahiko Ikeda 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 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 18 | |
| 13 | 11 | |
| 14 | 49 | |
| 15 | [Evaluation of irinotecan hydrochloride (CPT-11) and trastuzumab combination therapy as salvage treatment in patients with HER2 overexpressing metastatic breast cancer]. | 4 |
| 16 | The Relationship between Wilms' Tumor 1 (WT1) and Paired Box 8 (Pax-8) Protein Expressions in Papillary and Anaplastic Thyroid Carcinomas | 0 |
| 17 | 80 | |
| 18 | 47 | |
| 19 | 23 | |
| 20 | 9 |
About Masahiko Ikeda
Masahiko Ikeda is a scholar working on Microbiology, Oncology and Cancer Research, having authored 55 papers that have together received 655 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (14 papers), Breast Cancer Treatment Studies (10 papers) and Advanced Breast Cancer Therapies (9 papers). The work is most often cited by research in Cancer Research (183 citations), Oncology (297 citations) and Pathology and Forensic Medicine (156 citations). Masahiko Ikeda has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Junichi Kurebayashi, Noriaki Tanaka, Katsuhiro Tanaka, Kenji Shimizu, Hiroshi Sonoo, Nagahide Matsubara, Keiko Kawashima, Hirotaka Shibuya, Isao Kitagawa and Kazutaka Nakashima. Their work appears in journals such as Journal of Clinical Oncology, Scientific Reports and Biochemical and Biophysical Research Communications.
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.