Danalyn Byng
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 10%
- AI in cancer detection
Papers in
-
- Breast Cancer Treatment Studies 7
- Oncology 5
- Global Cancer Incidence and Screening 5
- Cancer survivorship and care 1
- Co-authors
- Christian Leibig (3 shared papers)Stefan Bunk (3 shared papers)Katja Pinker (1 shared paper)Lale Umutlu (1 shared paper)Nicholas Mitsakakis (1 shared paper)Jillian Clare Köhler (1 shared paper)Valesca P. Retèl (6 shared papers)Wim H. van Harten (5 shared papers)
- Journals
- Breast Cancer Research and Treatment (2 papers)European Journal of Cancer (2 papers)Cancers (1 paper)European Journal of Radiology (1 paper)Globalization and Health (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Danalyn Byng
12 papers receiving 243 citations
Peers
Comparison fields: 5 of 54
- Health Informatics 39
- Artificial Intelligence 92
- Cancer Research 38
- Radiology, Nuclear Medicine and Imaging 57
- Pulmonary and Respiratory Medicine 45
Countries citing papers authored by Danalyn Byng
This map shows the geographic impact of Danalyn Byng'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 Danalyn Byng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danalyn Byng more than expected).
Fields of papers citing papers by Danalyn Byng
This network shows the impact of papers produced by Danalyn Byng. 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 Danalyn Byng. The network helps show where Danalyn Byng may publish in the future.
Co-authors
The 25 scholars most cited alongside Danalyn Byng, 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 | 2022 | 109 | |
| 2 | 2022 | 32 | |
| 3 | 2015 | 29 | |
| 4 | 2019 | 25 | |
| 5 | 2020 | 16 | |
| 6 | 2021 | 13 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 9 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2018 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 |
About Danalyn Byng
Danalyn Byng is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Artificial Intelligence and Epidemiology, having authored 15 papers that have together received 249 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), Global Cancer Incidence and Screening (5 papers), AI in cancer detection (3 papers), Chronic Disease Management Strategies (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Cancer survivorship and care (1 paper) and Emergency and Acute Care Studies (1 paper). The work is most often cited by research in Health Informatics (39 citations), Artificial Intelligence (92 citations), Cancer Research (38 citations), Radiology, Nuclear Medicine and Imaging (57 citations) and Pulmonary and Respiratory Medicine (45 citations). Danalyn Byng has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Christian Leibig, Stefan Bunk, Katja Pinker, Lale Umutlu, Nicholas Mitsakakis, Jillian Clare Köhler, Valesca P. Retèl, Wim H. van Harten, Oliver Stephan and Jelle Wesseling. Their work appears in journals such as Breast Cancer Research and Treatment, European Journal of Cancer, Cancers, European Journal of Radiology and Globalization and 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.