Virginia Hill
- Radiology, Nuclear Medicine and Imaging top 5%
- Genetics top 5%
- Pulmonary and Respiratory Medicine
- Neurology top 10%
- Biomedical Engineering
- Co-authors
- Pallavi TiwariNiha BeigAnant MadabhushiKaustav BeraRamón CorreaVolodymyr StatsevychPrateek PrasannaManmeet S. Ahluwalia
- Topics
- Radiomics and Machine Learning in Medical Imaging (17 papers)Glioma Diagnosis and Treatment (14 papers)Brain Tumor Detection and Classification (4 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Virginia Hill
24 papers receiving 665 citations
Peers
Comparison fields: 5 of 81
- Radiology, Nuclear Medicine and Imaging 486
- Genetics 250
- Pulmonary and Respiratory Medicine 112
- Neurology 99
- Biomedical Engineering 96
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 of co-authors of Virginia Hill
This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Hill. A scholar is included among the top collaborators of Virginia Hill based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Virginia Hill. Virginia Hill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 19 | |
| 6 | 18 | |
| 7 | 15 | |
| 8 | 5 | |
| 9 | 16 | |
| 10 | 23 | |
| 11 | 14 | |
| 12 | 49 | |
| 13 | 92 | |
| 14 | 54 | |
| 15 | 28 | |
| 16 | 3 | |
| 17 | 22 | |
| 18 | 3 | |
| 19 | 74 | |
| 20 | 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) and Brain Tumor Detection and Classification (4 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.