Amina Bolatkan

769 total citations · 1 hit paper
12 papers, 413 citations indexed

About

Amina Bolatkan is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Amina Bolatkan has authored 12 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Amina Bolatkan's work include Radiomics and Machine Learning in Medical Imaging (3 papers), RNA modifications and cancer (3 papers) and AI in cancer detection (3 papers). Amina Bolatkan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), RNA modifications and cancer (3 papers) and AI in cancer detection (3 papers). Amina Bolatkan collaborates with scholars based in Japan, United Kingdom and United States. Amina Bolatkan's co-authors include Ryuji Hamamoto, Masaaki Komatsu, Syuzo Kaneko, Ken Asada, Kazuma Kobayashi, Ken Takasawa, Norio Shinkai, Satoshi Takahashi, Hidenori Machino and Akira Sakai and has published in prestigious journals such as Medical Image Analysis, Cancers and Briefings in Bioinformatics.

In The Last Decade

Amina Bolatkan

12 papers receiving 404 citations

Hit Papers

Comparison of Vision Transformers and Convolutional Neura... 2024 2026 2025 2024 10 20 30 40 50

Peers

Amina Bolatkan
Comparison fields: 5 of 101
  • Radiology, Nuclear Medicine and Imaging 147
  • Molecular Biology 138
  • Artificial Intelligence 114
  • Cancer Research 78
  • Health Informatics 61
Replace Norio Shinkai with:
Norio Shinkai Japan
Kevin Boehm United States
Ken Takasawa Japan
Kanto Shozu Japan
Ai Dozen Japan
Luoting Zhuang United States
Hidenori Machino Japan
Truong Nguyen Khanh Hung Vietnam
Jasleen Grewal Canada
Ramón Viñas United Kingdom
Norio Shinkai Japan View profile →
Citations per field, relative to Amina Bolatkan
Amina Bolatkan · 1×
Citations per year, relative to Amina Bolatkan
Amina Bolatkan · 1×

Countries citing papers authored by Amina Bolatkan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Amina Bolatkan

This figure shows the co-authorship network connecting the top 25 collaborators of Amina Bolatkan. A scholar is included among the top collaborators of Amina Bolatkan 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 Amina Bolatkan. Amina Bolatkan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1
Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review breakdown →
58
2 5
3 31
4 25
5 21
6 7
7 14
8 18
9 62
10 24
11 126
12 22

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.

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