Stanley Lu
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
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- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in ⓘ
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- Clinical Reasoning and Diagnostic Skills 1
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- Advanced Neuroimaging Techniques and Applications 3
- MRI in cancer diagnosis 3
- Advanced MRI Techniques and Applications 2
- COVID-19 diagnosis using AI 1
- Co-authors
- Glyn Johnson (3 shared papers)Daniel H. Ahn (2 shared papers)Soonmee Cha (2 shared papers)Robert I. Grossman (1 shared paper)David Zagzag (1 shared paper)Meng Law (1 shared paper)Allan R. Tunkel (1 shared paper)Edmond A. Knopp (1 shared paper)
- Journals
- Radiology (1 paper)Analytical Chemistry (1 paper)International Journal of Infectious Diseases (1 paper)Journal of Magnetic Resonance Imaging (1 paper)Journal of the American College of Radiology (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Stanley Lu
8 papers receiving 852 citations
Peers
Comparison fields: 5 of 101
- Genetics 283
- Radiology, Nuclear Medicine and Imaging 610
- Orthopedics and Sports Medicine 77
- Computational Mathematics 5
- Family Practice 15
Countries citing papers authored by Stanley Lu
This map shows the geographic impact of Stanley Lu'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 Stanley Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanley Lu more than expected).
Fields of papers citing papers by Stanley Lu
This network shows the impact of papers produced by Stanley Lu. 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 Stanley Lu. The network helps show where Stanley Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Stanley Lu, 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 | Peritumoral diffusion tensor imaging of high-grade gliomas and metastatic brain tumors. | 2003 | 293 |
| 2 | 2004 | 241 | |
| 3 | 2016 | 127 | |
| 4 | 2015 | 80 | |
| 5 | 2008 | 60 | |
| 6 | 2000 | 57 | |
| 7 | 1998 | 13 | |
| 8 | 2004 | 8 |
About Stanley Lu
Stanley Lu is a scholar working on Family Practice, Radiology, Nuclear Medicine and Imaging, Microbiology, Orthopedics and Sports Medicine and Infectious Diseases, having authored 8 papers that have together received 879 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (3 papers), MRI in cancer diagnosis (3 papers), Advanced MRI Techniques and Applications (2 papers), Mosquito-borne diseases and control (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), COVID-19 diagnosis using AI (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Clinical Reasoning and Diagnostic Skills (1 paper). The work is most often cited by research in Genetics (283 citations), Radiology, Nuclear Medicine and Imaging (610 citations), Orthopedics and Sports Medicine (77 citations), Computational Mathematics (5 citations) and Family Practice (15 citations). Stanley Lu has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Glyn Johnson, Daniel H. Ahn, Soonmee Cha, Robert I. Grossman, David Zagzag, Meng Law, Allan R. Tunkel, Edmond A. Knopp, Andrew Kwak and Richard B. Ruchman. Their work appears in journals such as Radiology, Analytical Chemistry, International Journal of Infectious Diseases, Journal of Magnetic Resonance Imaging and Journal of the American College of Radiology.
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.