Yuka Asano
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers 27
- Cancer Cells and Metastasis 23
- Cancer Treatment and Pharmacology 18
- HER2/EGFR in Cancer Research 11
- Inflammatory Biomarkers in Disease Prognosis 11
- Cancer Research top 5%
- Breast Cancer Treatment Studies 26
- Immunology top 10%
- Immunotherapy and Immune Responses 9
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas 15
- Co-authors
- Shinichiro KashiwagiKosei HirakawaTsutomu TakashimaMasahiko OhsawaMasaichi OhiraWataru GotoKoji TakadaSatoru Noda
- Cited by
- OncologyCancer ResearchImmunology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (2 papers)Cancer Research (3 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Yuka Asano
107 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 104
- Oncology 1.0k
- Cancer Research 470
- Immunology 255
- Pulmonary and Respiratory Medicine 289
- Pathology and Forensic Medicine 151
Countries citing papers authored by Yuka Asano
This map shows the geographic impact of Yuka Asano'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 Yuka Asano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuka Asano more than expected).
Fields of papers citing papers by Yuka Asano
This network shows the impact of papers produced by Yuka Asano. 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 Yuka Asano. The network helps show where Yuka Asano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuka Asano, 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 | 2021 | 4 | |
| 2 | 2021 | 8 | |
| 3 | 2021 | 0 | |
| 4 | 2020 | 6 | |
| 5 | 2020 | 29 | |
| 6 | 2020 | 2 | |
| 7 | 2019 | 6 | |
| 8 | 2019 | 3 | |
| 9 | 2019 | 8 | |
| 10 | 2019 | 12 | |
| 11 | [A Case of Male Breast Cancer Suspected of Breast Metastasis from Pancreatic Cancer]. | 2018 | 2 |
| 12 | 2018 | 60 | |
| 13 | 2018 | 33 | |
| 14 | 2017 | 6 | |
| 15 | 2016 | 92 | |
| 16 | 2015 | 6 | |
| 17 | 2015 | 6 | |
| 18 | 2015 | 118 | |
| 19 | [Effectiveness of eribulin chemotherapy for squamous cell carcinoma of the breast]. | 2013 | 6 |
| 20 | [Our experience of eribulin treatment in advanced breast cancer]. | 2013 | 1 |
About Yuka Asano
Yuka Asano is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 111 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (27 papers), Breast Cancer Treatment Studies (26 papers), Cancer Cells and Metastasis (23 papers), Cancer Treatment and Pharmacology (18 papers), Breast Lesions and Carcinomas (15 papers), HER2/EGFR in Cancer Research (11 papers), Inflammatory Biomarkers in Disease Prognosis (11 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Oncology (1.0k citations), Cancer Research (470 citations) and Immunology (255 citations). Yuka Asano has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Shinichiro Kashiwagi, Kosei Hirakawa, Tsutomu Takashima, Masahiko Ohsawa, Masaichi Ohira, Wataru Goto, Koji Takada, Satoru Noda, Naoyoshi Onoda and Shuhei Tomita. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE 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.