Kyle Singleton
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 9
- MRI in cancer diagnosis 5
- Medical Imaging Techniques and Applications 2
- Genetics 7
- Glioma Diagnosis and Treatment 7
- Co-authors
- Kristin R. Swanson (13 shared papers)Michael E. Berens (1 shared paper)Nicole M. Warrington (1 shared paper)Eduardo Carrasco (1 shared paper)Justin D. Lathia (1 shared paper)Albert H. Kim (1 shared paper)Joshua B. Rubin (2 shared papers)Sara Taylor (1 shared paper)
- Journals
- Neuro-Oncology (5 papers)npj Digital Medicine (1 paper)Addiction (1 paper)Drug and Alcohol Dependence (1 paper)Journal of Digital Imaging (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Kyle Singleton
18 papers receiving 407 citations
Peers
Comparison fields: 5 of 83
- Genetics 105
- Health Informatics 7
- Modeling and Simulation 18
- Neurology 24
- Cancer Research 41
Countries citing papers authored by Kyle Singleton
This map shows the geographic impact of Kyle Singleton'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 Kyle Singleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Singleton more than expected).
Fields of papers citing papers by Kyle Singleton
This network shows the impact of papers produced by Kyle Singleton. 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 Kyle Singleton. The network helps show where Kyle Singleton may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyle Singleton, 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 | 2019 | 218 | |
| 2 | 2019 | 63 | |
| 3 | 2015 | 53 | |
| 4 | 2019 | 21 | |
| 5 | Wireless data collection of self-administered surveys using tablet computers. | 2011 | 12 |
| 6 | 2017 | 10 | |
| 7 | 2020 | 8 | |
| 8 | Comparing predictive models of glioblastoma multiforme built using multi-institutional and local data sources. | 2012 | 8 |
| 9 | 2023 | 7 | |
| 10 | 2024 | 3 | |
| 11 | 2022 | 2 | |
| 12 | Motivating the additional use of external validity: examining transportability in a model of glioblastoma multiforme. | 2014 | 2 |
| 13 | 2022 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2017 | 1 |
About Kyle Singleton
Kyle Singleton is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Artificial Intelligence, Neurology and Biomedical Engineering, having authored 18 papers that have together received 413 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Glioma Diagnosis and Treatment (7 papers), MRI in cancer diagnosis (5 papers), Brain Tumor Detection and Classification (2 papers), Advanced X-ray and CT Imaging (2 papers), Medical Imaging Techniques and Applications (2 papers), AI in cancer detection (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Genetics (105 citations), Health Informatics (7 citations), Modeling and Simulation (18 citations), Neurology (24 citations) and Cancer Research (41 citations). Kyle Singleton has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Kristin R. Swanson, Michael E. Berens, Nicole M. Warrington, Eduardo Carrasco, Justin D. Lathia, Albert H. Kim, Joshua B. Rubin, Sara Taylor, Ningying Wu and Jill S. Barnholtz‐Sloan. Their work appears in journals such as Neuro-Oncology, npj Digital Medicine, Addiction, Drug and Alcohol Dependence and Journal of Digital Imaging.
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.