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)Paula Whitmire (2 shared papers)Justin D. Lathia (1 shared paper)Wei Yang (1 shared paper)Albert H. Kim (1 shared paper)Ningying Wu (1 shared paper)Sara Taylor (1 shared paper)Eduardo Carrasco (1 shared paper)
- Journals
- Neuro-Oncology (5 papers)PLoS ONE (1 paper)IEEE Transactions on Automation Science and Engineering (1 paper)Neuro-Oncology Advances (1 paper)Addiction (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Kyle Singleton
18 papers receiving 420 citations
Peers
Comparison fields: 5 of 86
- Genetics 109
- Health Informatics 7
- Modeling and Simulation 20
- Cancer Research 44
- Neurology 25
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 | 225 | |
| 2 | 2019 | 67 | |
| 3 | 2015 | 55 | |
| 4 | 2019 | 23 | |
| 5 | Wireless data collection of self-administered surveys using tablet computers. | 2011 | 12 |
| 6 | 2017 | 10 | |
| 7 | 2020 | 9 | |
| 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 429 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 (109 citations), Health Informatics (7 citations), Modeling and Simulation (20 citations), Cancer Research (44 citations) and Neurology (25 citations). Kyle Singleton has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Kristin R. Swanson, Paula Whitmire, Justin D. Lathia, Wei Yang, Albert H. Kim, Ningying Wu, Sara Taylor, Eduardo Carrasco, Jingqin Luo and Michael E. Berens. Their work appears in journals such as Neuro-Oncology, PLoS ONE, IEEE Transactions on Automation Science and Engineering, Neuro-Oncology Advances and Addiction.
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.