Adrian Levine
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
Papers in
- Genetics 11
- Glioma Diagnosis and Treatment 11
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- Neuroblastoma Research and Treatments 3
- Co-authors
- Stephen Yip (9 shared papers)Steven J.M. Jones (5 shared papers)Jasleen Grewal (1 shared paper)Robin Coope (1 shared paper)Keith W. MacDougall (3 shared papers)Andrew G. Parrent (1 shared paper)Hossein Farahani (2 shared papers)Andrew Churg (2 shared papers)
- Journals
- Child s Nervous System (2 papers)World Neurosurgery (2 papers)Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques (2 papers)Neuro-Oncology (2 papers)BMC Biology (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Adrian Levine
22 papers receiving 278 citations
Peers
Comparison fields: 5 of 72
- Health Informatics 25
- Radiology, Nuclear Medicine and Imaging 105
- Anesthesiology and Pain Medicine 20
- Artificial Intelligence 102
- Genetics 33
Countries citing papers authored by Adrian Levine
This map shows the geographic impact of Adrian Levine'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 Adrian Levine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Levine more than expected).
Fields of papers citing papers by Adrian Levine
This network shows the impact of papers produced by Adrian Levine. 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 Adrian Levine. The network helps show where Adrian Levine may publish in the future.
Co-authors
The 25 scholars most cited alongside Adrian Levine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 138 | |
| 2 | 2021 | 44 | |
| 3 | 2016 | 20 | |
| 4 | 2021 | 15 | |
| 5 | 2024 | 11 | |
| 6 | 2020 | 9 | |
| 7 | 2014 | 7 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 5 | |
| 11 | 2018 | 4 | |
| 12 | 2016 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2023 | 1 |
About Adrian Levine
Adrian Levine is a scholar working on Genetics, Neurology, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 287 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Cancer Genomics and Diagnostics (7 papers), Cancer Immunotherapy and Biomarkers (4 papers), Neuroblastoma Research and Treatments (3 papers), Genetic factors in colorectal cancer (2 papers), AI in cancer detection (2 papers), Microtubule and mitosis dynamics (2 papers) and Brain Metastases and Treatment (2 papers). The work is most often cited by research in Health Informatics (25 citations), Radiology, Nuclear Medicine and Imaging (105 citations), Anesthesiology and Pain Medicine (20 citations), Artificial Intelligence (102 citations) and Genetics (33 citations). Adrian Levine has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Stephen Yip, Steven J.M. Jones, Jasleen Grewal, Robin Coope, Keith W. MacDougall, Andrew G. Parrent, Hossein Farahani, Andrew Churg, Ali Bashashati and Julia Naso. Their work appears in journals such as Child s Nervous System, World Neurosurgery, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Neuro-Oncology and BMC Biology.
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.