Stanley Lu
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- SARS-CoV-2 detection and testing 1
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- Radiomics and Machine Learning in Medical Imaging 1
- MRI in cancer diagnosis 1
- Advanced Neuroimaging Techniques and Applications 1
- Co-authors
- Glyn Johnson (3 shared papers)Daniel H. Ahn (2 shared papers)Soonmee Cha (2 shared papers)David Zagzag (1 shared paper)Robert I. Grossman (1 shared paper)Meng Law (1 shared paper)Edmond A. Knopp (1 shared paper)Allan R. Tunkel (1 shared paper)
- Journals
- Radiology (1 paper)Journal of Magnetic Resonance Imaging (1 paper)Emerging infectious diseases (1 paper)BMC Biotechnology (1 paper)International Journal of Infectious Diseases (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Stanley Lu
12 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 107
- Genetics 272
- Radiology, Nuclear Medicine and Imaging 492
- Orthopedics and Sports Medicine 53
- Computational Mathematics 4
- Health Informatics 8
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 | 320 |
| 2 | 2004 | 273 | |
| 3 | 2016 | 141 | |
| 4 | 2015 | 87 | |
| 5 | 2008 | 61 | |
| 6 | 2000 | 60 | |
| 7 | 2014 | 57 | |
| 8 | 2010 | 23 | |
| 9 | 2015 | 16 | |
| 10 | 1998 | 15 | |
| 11 | 2004 | 9 | |
| 12 | 2017 | 4 |
About Stanley Lu
Stanley Lu is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Epidemiology, Surgery and Molecular Biology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Respiratory viral infections research (2 papers), Influenza Virus Research Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), MRI in cancer diagnosis (1 paper), SARS-CoV-2 detection and testing (1 paper), Mosquito-borne diseases and control (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Genetics (272 citations), Radiology, Nuclear Medicine and Imaging (492 citations), Orthopedics and Sports Medicine (53 citations), Computational Mathematics (4 citations) and Health Informatics (8 citations). Stanley Lu has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Glyn Johnson, Daniel H. Ahn, Soonmee Cha, David Zagzag, Robert I. Grossman, Meng Law, Edmond A. Knopp, Allan R. Tunkel, Richard B. Ruchman and Jian Han. Their work appears in journals such as Radiology, Journal of Magnetic Resonance Imaging, Emerging infectious diseases, BMC Biotechnology and International Journal of Infectious Diseases.
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.