Sarah Englander
Impact in
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Artificial Intelligence top 10%
- AI in cancer detection
Papers in
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- MRI in cancer diagnosis 14
- Medical Imaging Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 4
- Advanced MRI Techniques and Applications 3
- Advanced Neuroimaging Techniques and Applications 2
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- AI in cancer detection 7
- Co-authors
- Mitchell D. Schnall (10 shared papers)Mark Rosen (8 shared papers)Anant Madabhushi (4 shared papers)Shannon C. Agner (4 shared papers)Dinggang Shen (5 shared papers)Yuanjie Zheng (4 shared papers)Linda White Nunes (2 shared papers)Michael D. Feldman (2 shared papers)
- Journals
- Journal of Magnetic Resonance Imaging (2 papers)Magnetic Resonance in Medicine (2 papers)Ophthalmic Research (1 paper)Radiology (1 paper)NMR in Biomedicine (1 paper)
- Partner nations
- United StatesGermanyIndonesia
In The Last Decade
Sarah Englander
21 papers receiving 699 citations
Peers
Comparison fields: 5 of 63
- Radiology, Nuclear Medicine and Imaging 525
- Artificial Intelligence 163
- Computer Vision and Pattern Recognition 78
- Neurology 27
- Computational Mathematics 2
Countries citing papers authored by Sarah Englander
This map shows the geographic impact of Sarah Englander'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 Sarah Englander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Englander more than expected).
Fields of papers citing papers by Sarah Englander
This network shows the impact of papers produced by Sarah Englander. 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 Sarah Englander. The network helps show where Sarah Englander may publish in the future.
Co-authors
The 25 scholars most cited alongside Sarah Englander, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 125 | |
| 2 | 2010 | 104 | |
| 3 | 2001 | 69 | |
| 4 | 1997 | 68 | |
| 5 | 2009 | 63 | |
| 6 | 2005 | 39 | |
| 7 | 2007 | 38 | |
| 8 | 2011 | 36 | |
| 9 | 2014 | 29 | |
| 10 | 2007 | 25 | |
| 11 | 2013 | 21 | |
| 12 | 2001 | 14 | |
| 13 | 2009 | 14 | |
| 14 | 2022 | 13 | |
| 15 | 2001 | 11 | |
| 16 | 2007 | 11 | |
| 17 | 2002 | 10 | |
| 18 | 2007 | 8 | |
| 19 | 2008 | 6 | |
| 20 | 2001 | 6 |
About Sarah Englander
Sarah Englander is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Cognitive Neuroscience, having authored 21 papers that have together received 715 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (14 papers), AI in cancer detection (7 papers), Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Image Segmentation Techniques (4 papers), Advanced MRI Techniques and Applications (3 papers), Digital Radiography and Breast Imaging (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (525 citations), Artificial Intelligence (163 citations), Computer Vision and Pattern Recognition (78 citations), Neurology (27 citations) and Computational Mathematics (2 citations). Sarah Englander has collaborated with scholars based in United States, Germany and Indonesia. Frequent co-authors include Mitchell D. Schnall, Mark Rosen, Anant Madabhushi, Shannon C. Agner, Dinggang Shen, Yuanjie Zheng, Linda White Nunes, Michael D. Feldman, Rachel F. Brem and Jerry D. Glickson. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Magnetic Resonance in Medicine, Ophthalmic Research, Radiology and NMR in Biomedicine.
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.