Geoffrey S. Young
- Biophysics top 0.5%
- Genetics top 2%
- Glioma Diagnosis and Treatment 24
- Neurology top 5%
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- Advanced MRI Techniques and Applications 12
- Advanced Neuroimaging Techniques and Applications 10
- MRI in cancer diagnosis 9
- Radiomics and Machine Learning in Medical Imaging 8
- Analytical Chemistry top 1%
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- Medical Image Segmentation Techniques 6
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- Brain Metastases and Treatment 5
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- Prion Diseases and Protein Misfolding 5
- Co-authors
- Stephen T.C. WongXiaoyin XuX. Sunney XieSantosh KesariLei GuoLei QinKelvin WongConor L. Evans
- Cited by
- BiophysicsGeneticsNeurology
- Journals
- Journal of Clinical Oncology (1 paper)NeuroImage (1 paper)American Journal of Clinical Nutrition (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Geoffrey S. Young
73 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 142
- Biophysics 616
- Genetics 482
- Neurology 274
- Radiology, Nuclear Medicine and Imaging 728
- Analytical Chemistry 287
Countries citing papers authored by Geoffrey S. Young
This map shows the geographic impact of Geoffrey S. Young'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 Geoffrey S. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey S. Young more than expected).
Fields of papers citing papers by Geoffrey S. Young
This network shows the impact of papers produced by Geoffrey S. Young. 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 Geoffrey S. Young. The network helps show where Geoffrey S. Young may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Geoffrey S. Young, 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 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 12 | |
| 8 | 2020 | 3 | |
| 9 | 2019 | 6 | |
| 10 | 2019 | 82 | |
| 11 | 2019 | 21 | |
| 12 | 2018 | 3 | |
| 13 | 2018 | 15 | |
| 14 | 2017 | 6 | |
| 15 | 2012 | 32 | |
| 16 | 2011 | 114 | |
| 17 | 2009 | 2 | |
| 18 | 2009 | 33 | |
| 19 | 2007 | 8 | |
| 20 | 1985 | 13 |
About Geoffrey S. Young
Geoffrey S. Young is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 76 papers that have together received 2.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (24 papers), Advanced MRI Techniques and Applications (12 papers), Advanced Neuroimaging Techniques and Applications (10 papers), MRI in cancer diagnosis (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Image Segmentation Techniques (6 papers), Brain Metastases and Treatment (5 papers) and Prion Diseases and Protein Misfolding (5 papers). The work is most often cited by research in Biophysics (616 citations), Genetics (482 citations) and Neurology (274 citations). Geoffrey S. Young has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Stephen T.C. Wong, Xiaoyin Xu, X. Sunney Xie, Santosh Kesari, Lei Guo, Lei Qin, Kelvin Wong, Conor L. Evans, Christian W. Freudiger and Oren Sagher. Their work appears in journals such as Journal of Clinical Oncology, NeuroImage and American Journal of Clinical Nutrition.
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.