Tamami Morisaki
- Oncology top 5%
- Molecular Biology
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 10%
- Immunology
- Co-authors
- Kosei HirakawaMasaichi OhiraShinichiro KashiwagiYuka AsanoTsutomu TakashimaTatsunari FukuokaMasakazu YashiroTsuyoshi Hasegawa
- Topics
- Cancer Cells and Metastasis (17 papers)Breast Cancer Treatment Studies (17 papers)Cancer Treatment and Pharmacology (16 papers)
- Partner nations
- Japan
In The Last Decade
Tamami Morisaki
90 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Oncology 619
- Molecular Biology 472
- Cancer Research 385
- Pulmonary and Respiratory Medicine 230
- Immunology 177
Countries citing papers authored by Tamami Morisaki
This map shows the geographic impact of Tamami Morisaki'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 Tamami Morisaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamami Morisaki more than expected).
Fields of papers citing papers by Tamami Morisaki
This network shows the impact of papers produced by Tamami Morisaki. 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 Tamami Morisaki. The network helps show where Tamami Morisaki may publish in the future.
Co-authorship network of co-authors of Tamami Morisaki
This figure shows the co-authorship network connecting the top 25 collaborators of Tamami Morisaki. A scholar is included among the top collaborators of Tamami Morisaki 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 Tamami Morisaki. Tamami Morisaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | [A Case in Which Re-Administration of Pertuzumab/Trastuzumab with Eribulin Therapy Was Useful for Recurrent HER2 Breast Cancer]. | 0 |
| 8 | 6 | |
| 9 | 29 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 60 | |
| 13 | 28 | |
| 14 | 65 | |
| 15 | 21 | |
| 16 | 9 | |
| 17 | [Effectiveness of eribulin chemotherapy for squamous cell carcinoma of the breast]. | 6 |
| 18 | [Our experience of eribulin treatment in advanced breast cancer]. | 1 |
| 19 | 49 | |
| 20 | Two cases of pyruvate kinase deficiency: PK 'Kamakura' and PK 'Naniwa'. | 2 |
About Tamami Morisaki
Tamami Morisaki is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 98 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (17 papers), Breast Cancer Treatment Studies (17 papers) and Cancer Treatment and Pharmacology (16 papers). The work is most often cited by research in Cancer Research (385 citations), Oncology (619 citations) and Health Informatics (12 citations). Tamami Morisaki has collaborated with scholars based in Japan. Frequent co-authors include Kosei Hirakawa, Masaichi Ohira, Shinichiro Kashiwagi, Yuka Asano, Tsutomu Takashima, Tatsunari Fukuoka, Masakazu Yashiro, Tsuyoshi Hasegawa, Haruhito Kinoshita and Go Masuda. Their work appears in journals such as PLoS ONE, Cancer Research and British Journal of Cancer.
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.