Balázs Ács
- Health Informatics top 2%
- Cancer Research top 5%
- Breast Cancer Treatment Studies 15
- Cancer Genomics and Diagnostics 5
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 14
- HER2/EGFR in Cancer Research 10
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- Radiomics and Machine Learning in Medical Imaging 12
- Biophysics top 5%
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- AI in cancer detection 13
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- Breast Lesions and Carcinomas 6
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- Immunotherapy and Immune Responses 5
Balázs Ács
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Health Informatics 65
- Cancer Research 333
- Oncology 563
- Radiology, Nuclear Medicine and Imaging 461
- Biophysics 80
Countries citing papers authored by Balázs Ács
This map shows the geographic impact of Balázs Ács'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 Balázs Ács with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Balázs Ács more than expected).
Fields of papers citing papers by Balázs Ács
This network shows the impact of papers produced by Balázs Ács. 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 Balázs Ács. The network helps show where Balázs Ács may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Balázs Ács, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 12 | |
| 9 | 2023 | 2 | |
| 10 | 2021 | 38 | |
| 11 | 2021 | 41 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 125 | |
| 14 | 2021 | 8 | |
| 15 | 2019 | 103 | |
| 16 | 2018 | 83 | |
| 17 | 2017 | 63 | |
| 18 | 2017 | 16 | |
| 19 | 2017 | 14 | |
| 20 | 2015 | 5 |
About Balázs Ács
Balázs Ács is a scholar working on Cancer Research, Oncology and Biophysics, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (15 papers), Cancer Immunotherapy and Biomarkers (14 papers), AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), HER2/EGFR in Cancer Research (10 papers), Breast Lesions and Carcinomas (6 papers), Immunotherapy and Immune Responses (5 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Health Informatics (65 citations), Cancer Research (333 citations) and Oncology (563 citations). Balázs Ács has collaborated with scholars based in Sweden, Hungary and United States. Frequent co-authors include Johan Hartman, Mattias Rantalainen, David L. Rimm, Stephanie Robertson, Maria Toki, Yinxi Wang, Janina Kulka, Yalai Bai, Sandra Martínez-Morilla and Pok Fai Wong. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology 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.