Alexander W. Jung
- Health Informatics top 5%
- Biophysics top 5%
-
- Cancer Genomics and Diagnostics 2
-
- Radiomics and Machine Learning in Medical Imaging 1
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models 1
- Machine Learning in Healthcare 1
-
- Genetic Associations and Epidemiology 2
- Genetic Syndromes and Imprinting 1
-
- Statistical Methods and Inference 1
- Statistical Methods and Bayesian Inference 1
- Co-authors
- Moritz GerstungLucy YatesRamón ViñasSantiago GonzálezMercedes Jimenez‐LiñanYu FuHarald VöhringerLuiza Moore
- Partner nations
- United KingdomGermanyDenmark
In The Last Decade
Alexander W. Jung
5 papers receiving 379 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Health Informatics 28
- Biophysics 59
- Cancer Research 120
- Radiology, Nuclear Medicine and Imaging 180
- Artificial Intelligence 221
Countries citing papers authored by Alexander W. Jung
This map shows the geographic impact of Alexander W. Jung'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 Alexander W. Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander W. Jung more than expected).
Fields of papers citing papers by Alexander W. Jung
This network shows the impact of papers produced by Alexander W. Jung. 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 Alexander W. Jung. The network helps show where Alexander W. Jung may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Alexander W. Jung, 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 | 4 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 2 | |
| 5 | Pan-cancer computational histopathology reveals mutations, tumor composition and prognosisbreakdown → | 2020 | 367 |
About Alexander W. Jung
Alexander W. Jung is a scholar working on Cancer Research, Statistics and Probability and Artificial Intelligence, having authored 5 papers that have together received 381 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Genetic Associations and Epidemiology (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Genetic Syndromes and Imprinting (1 paper), Statistical Methods and Inference (1 paper), Bayesian Methods and Mixture Models (1 paper), Statistical Methods and Bayesian Inference (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Health Informatics (28 citations), Biophysics (59 citations) and Cancer Research (120 citations). Alexander W. Jung has collaborated with scholars based in United Kingdom, Germany and Denmark. Frequent co-authors include Moritz Gerstung, Lucy Yates, Ramón Viñas, Santiago González, Mercedes Jimenez‐Liñan, Yu Fu, Harald Vöhringer, Luiza Moore, Artem Shmatko and Laust Hvas Mortensen. Their work appears in journals such as Nature, Nature Communications and The Lancet Digital Health.
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.