Virginia Hill
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education 4
- Genetics top 5%
- Glioma Diagnosis and Treatment 14
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- Radiomics and Machine Learning in Medical Imaging 17
- MRI in cancer diagnosis 3
- Neurology top 10%
- Brain Tumor Detection and Classification 4
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- Ferroptosis and cancer prognosis 3
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- Advanced X-ray and CT Imaging 3
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- Medical Image Segmentation Techniques 2
- Co-authors
- Pallavi TiwariNiha BeigAnant MadabhushiKaustav BeraRamón CorreaVolodymyr StatsevychPrateek PrasannaManmeet S. Ahluwalia
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Virginia Hill
24 papers receiving 665 citations
Peers
Comparison fields: 5 of 81
- Health Informatics 43
- Genetics 250
- Radiology, Nuclear Medicine and Imaging 486
- Neurology 99
- Psychiatry and Mental health 62
Countries citing papers authored by Virginia Hill
This map shows the geographic impact of Virginia Hill'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 Virginia Hill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia Hill more than expected).
Fields of papers citing papers by Virginia Hill
This network shows the impact of papers produced by Virginia Hill. 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 Virginia Hill. The network helps show where Virginia Hill may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Virginia Hill, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 19 | |
| 6 | 2023 | 18 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 16 | |
| 10 | 2022 | 23 | |
| 11 | 2021 | 14 | |
| 12 | 2020 | 49 | |
| 13 | 2020 | 92 | |
| 14 | 2020 | 54 | |
| 15 | 2020 | 28 | |
| 16 | 2020 | 3 | |
| 17 | 2019 | 22 | |
| 18 | 2019 | 3 | |
| 19 | 2018 | 74 | |
| 20 | 2018 | 114 |
About Virginia Hill
Virginia Hill is a scholar working on Health Informatics, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 674 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (17 papers), Glioma Diagnosis and Treatment (14 papers), Brain Tumor Detection and Classification (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), MRI in cancer diagnosis (3 papers), Ferroptosis and cancer prognosis (3 papers), Advanced X-ray and CT Imaging (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Health Informatics (43 citations), Genetics (250 citations) and Radiology, Nuclear Medicine and Imaging (486 citations). Virginia Hill has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Pallavi Tiwari, Niha Beig, Anant Madabhushi, Kaustav Bera, Ramón Correa, Volodymyr Statsevych, Prateek Prasanna, Manmeet S. Ahluwalia, Salendra Singh and Vinay Varadan. Their work appears in journals such as NeuroImage, Scientific Reports and Clinical Cancer Research.
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.