Ayaka Katayama
Impact in
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- Breast Cancer Treatment Studies
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
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- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
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- Breast Cancer Treatment Studies 11
- Cancer Genomics and Diagnostics 5
- Cancer, Lipids, and Metabolism 2
- Oncology 17
- Cancer Cells and Metastasis 6
- Cancer Immunotherapy and Biomarkers 5
- HER2/EGFR in Cancer Research 4
- Co-authors
- Tetsunari Oyama (23 shared papers)Emad A. Rakha (12 shared papers)Jun Horiguchi (12 shared papers)Michael S. Toss (9 shared papers)Tadashi Handa (8 shared papers)Takehiko Yokobori (10 shared papers)Masahiko Nishiyama (7 shared papers)Kyoichi Kaira (6 shared papers)
- Journals
- Histopathology (5 papers)British Journal of Cancer (2 papers)European Journal of Cancer (2 papers)International Journal of Oncology (2 papers)Modern Pathology (2 papers)
- Partner nations
- JapanUnited KingdomEgypt
In The Last Decade
Ayaka Katayama
30 papers receiving 375 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 154
- Oncology 164
- Health Informatics 4
- Radiology, Nuclear Medicine and Imaging 65
- Biochemistry 17
Countries citing papers authored by Ayaka Katayama
This map shows the geographic impact of Ayaka Katayama'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 Ayaka Katayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayaka Katayama more than expected).
Fields of papers citing papers by Ayaka Katayama
This network shows the impact of papers produced by Ayaka Katayama. 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 Ayaka Katayama. The network helps show where Ayaka Katayama may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayaka Katayama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 49 | |
| 2 | 2017 | 38 | |
| 3 | 2022 | 29 | |
| 4 | 2020 | 28 | |
| 5 | 2019 | 26 | |
| 6 | 2017 | 25 | |
| 7 | 2019 | 20 | |
| 8 | 2021 | 18 | |
| 9 | 2017 | 18 | |
| 10 | 2021 | 17 | |
| 11 | 2021 | 15 | |
| 12 | 2021 | 13 | |
| 13 | 2021 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2024 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2023 | 3 |
About Ayaka Katayama
Ayaka Katayama is a scholar working on Cancer Research, Oncology, Artificial Intelligence, Pathology and Forensic Medicine and Molecular Biology, having authored 32 papers that have together received 378 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), AI in cancer detection (7 papers), Cancer Cells and Metastasis (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Cancer Genomics and Diagnostics (5 papers), HER2/EGFR in Cancer Research (4 papers), Breast Lesions and Carcinomas (3 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (154 citations), Oncology (164 citations), Health Informatics (4 citations), Radiology, Nuclear Medicine and Imaging (65 citations) and Biochemistry (17 citations). Ayaka Katayama has collaborated with scholars based in Japan, United Kingdom and Egypt. Frequent co-authors include Tetsunari Oyama, Emad A. Rakha, Jun Horiguchi, Michael S. Toss, Tadashi Handa, Takehiko Yokobori, Masahiko Nishiyama, Kyoichi Kaira, Ken Shirabe and Hiroyuki Kuwano. Their work appears in journals such as Histopathology, British Journal of Cancer, European Journal of Cancer, International Journal of Oncology and Modern Pathology.
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.