Andreas Heindl
Impact in
- Health Informatics top 5%
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- Cancer Genomics and Diagnostics 3
-
- Single-cell and spatial transcriptomics 3
- Co-authors
- Yinyin Yuan (12 shared papers)Konrad Koelble (2 shared papers)Ivana Šestak (1 shared paper)Mitch Dowsett (1 shared paper)Kuban D. Naidoo (1 shared paper)Jack Cuzick (1 shared paper)Chunyan Lan (3 shared papers)Daniel Nava Rodrigues (4 shared papers)
- Journals
- Nature Communications (2 papers)BMC Cancer (2 papers)Radiology Artificial Intelligence (1 paper)Scientific Reports (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- United KingdomChinaAustria
In The Last Decade
Andreas Heindl
19 papers receiving 770 citations
Peers
Comparison fields: 5 of 86
- Health Informatics 35
- Biophysics 74
- Cancer Research 173
- Oncology 246
- Radiology, Nuclear Medicine and Imaging 202
Countries citing papers authored by Andreas Heindl
This map shows the geographic impact of Andreas Heindl'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 Andreas Heindl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Heindl more than expected).
Fields of papers citing papers by Andreas Heindl
This network shows the impact of papers produced by Andreas Heindl. 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 Andreas Heindl. The network helps show where Andreas Heindl may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Heindl, 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 | 2015 | 162 | |
| 2 | 2015 | 146 | |
| 3 | 2017 | 114 | |
| 4 | 2015 | 103 | |
| 5 | 2019 | 43 | |
| 6 | 2023 | 37 | |
| 7 | 2015 | 31 | |
| 8 | 2018 | 30 | |
| 9 | 2016 | 23 | |
| 10 | 2015 | 21 | |
| 11 | 2020 | 17 | |
| 12 | 2015 | 14 | |
| 13 | 2019 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2017 | 7 | |
| 16 | MammoGAN: High-Resolution Synthesis of Realistic Mammograms | 2019 | 5 |
| 17 | 2015 | 5 | |
| 18 | 2013 | 3 | |
| 19 | 2010 | 1 |
About Andreas Heindl
Andreas Heindl is a scholar working on Cancer Research, Molecular Biology, Oncology, Reproductive Medicine and Artificial Intelligence, having authored 19 papers that have together received 776 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (5 papers), AI in cancer detection (4 papers), Single-cell and spatial transcriptomics (3 papers), Cell Image Analysis Techniques (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Genomics and Diagnostics (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Prostate Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Health Informatics (35 citations), Biophysics (74 citations), Cancer Research (173 citations), Oncology (246 citations) and Radiology, Nuclear Medicine and Imaging (202 citations). Andreas Heindl has collaborated with scholars based in United Kingdom, China and Austria. Frequent co-authors include Yinyin Yuan, Konrad Koelble, Ivana Šestak, Mitch Dowsett, Kuban D. Naidoo, Jack Cuzick, Chunyan Lan, Daniel Nava Rodrigues, Takashi Nagano and Jussi Taipale. Their work appears in journals such as Nature Communications, BMC Cancer, Radiology Artificial Intelligence, Scientific Reports and JNCI Journal of the National Cancer Institute.
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.