Amina Bolatkan
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Cancer Genomics and Diagnostics 3
- Cancer-related molecular mechanisms research 2
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- Radiomics and Machine Learning in Medical Imaging 3
- COVID-19 diagnosis using AI 2
- Co-authors
- Ryuji Hamamoto (12 shared papers)Ken Asada (10 shared papers)Syuzo Kaneko (10 shared papers)Masaaki Komatsu (10 shared papers)Kazuma Kobayashi (9 shared papers)Ken Takasawa (8 shared papers)Norio Shinkai (7 shared papers)Satoshi Takahashi (7 shared papers)
- Journals
- Biomolecules (4 papers)Molecular Cancer (2 papers)Biomedicines (2 papers)Journal of Medical Systems (1 paper)International Journal of Oncology (1 paper)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Amina Bolatkan
14 papers receiving 552 citations
Amina Bolatkan's Hit Papers
Peers
Comparison fields: 5 of 109
- Health Informatics 65
- Radiology, Nuclear Medicine and Imaging 154
- Cancer Research 78
- Health Information Management 20
- Artificial Intelligence 119
Countries citing papers authored by Amina Bolatkan
This map shows the geographic impact of Amina Bolatkan'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 Amina Bolatkan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amina Bolatkan more than expected).
Fields of papers citing papers by Amina Bolatkan
This network shows the impact of papers produced by Amina Bolatkan. 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 Amina Bolatkan. The network helps show where Amina Bolatkan may publish in the future.
Co-authors
The 25 scholars most cited alongside Amina Bolatkan, 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 | 2020 | 155 | |
| 2 | Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review Hit paper breakdown → | 2024 | 131 |
| 3 | 2020 | 65 | |
| 4 | 2022 | 42 | |
| 5 | 2021 | 28 | |
| 6 | 2019 | 26 | |
| 7 | 2020 | 26 | |
| 8 | 2021 | 23 | |
| 9 | 2020 | 19 | |
| 10 | 2021 | 17 | |
| 11 | 2021 | 12 | |
| 12 | 2024 | 11 | |
| 13 | 2024 | 8 | |
| 14 | 2023 | 7 |
About Amina Bolatkan
Amina Bolatkan is a scholar working on Cancer Research, Radiology, Nuclear Medicine and Imaging, Health Informatics, Molecular Biology and Infectious Diseases, having authored 14 papers that have together received 570 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), RNA modifications and cancer (3 papers), Cancer-related gene regulation (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers), COVID-19 diagnosis using AI (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Health Informatics (65 citations), Radiology, Nuclear Medicine and Imaging (154 citations), Cancer Research (78 citations), Health Information Management (20 citations) and Artificial Intelligence (119 citations). Amina Bolatkan has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Ryuji Hamamoto, Ken Asada, Syuzo Kaneko, Masaaki Komatsu, Kazuma Kobayashi, Ken Takasawa, Norio Shinkai, Satoshi Takahashi, Hidenori Machino and Akira Sakai. Their work appears in journals such as Biomolecules, Molecular Cancer, Biomedicines, Journal of Medical Systems and International Journal of Oncology.
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.