Deanna L. Langer
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- MRI in cancer diagnosis 7
- Radiomics and Machine Learning in Medical Imaging 5
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- Prostate Cancer Diagnosis and Treatment 12
- Prostate Cancer Treatment and Research 5
- Sarcoma Diagnosis and Treatment 3
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- Medical Image Segmentation Techniques 4
- Rheumatology top 10%
- Biophysics top 10%
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- AI in cancer detection 4
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- Lymphoma Diagnosis and Treatment 4
- Co-authors
- Masoom A. HaiderTheodorus van der KwastAndrew EvansJohn TrachtenbergBrian C. Wilsonİmam Şamil YetikMiles N. WernickAnna Plotkin
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineComputer Vision and Pattern Recognition
- Partner nations
- CanadaUnited StatesIsrael
In The Last Decade
Deanna L. Langer
26 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 83
- Radiology, Nuclear Medicine and Imaging 830
- Pulmonary and Respiratory Medicine 877
- Computer Vision and Pattern Recognition 219
- Rheumatology 148
- Biophysics 38
Countries citing papers authored by Deanna L. Langer
This map shows the geographic impact of Deanna L. Langer'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 Deanna L. Langer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deanna L. Langer more than expected).
Fields of papers citing papers by Deanna L. Langer
This network shows the impact of papers produced by Deanna L. Langer. 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 Deanna L. Langer. The network helps show where Deanna L. Langer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deanna L. Langer, 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 | 2023 | 5 | |
| 3 | 2022 | 28 | |
| 4 | 2021 | 8 | |
| 5 | 2020 | 1 | |
| 6 | 2018 | 20 | |
| 7 | 2017 | 1 | |
| 8 | 2016 | 0 | |
| 9 | 2015 | 17 | |
| 10 | 2010 | 214 | |
| 11 | 2010 | 131 | |
| 12 | 2010 | 92 | |
| 13 | 2010 | 103 | |
| 14 | 2010 | 5 | |
| 15 | 2010 | 3 | |
| 16 | 2009 | 278 | |
| 17 | 2009 | 100 | |
| 18 | 2009 | 28 | |
| 19 | 2008 | 205 | |
| 20 | 2007 | 11 |
About Deanna L. Langer
Deanna L. Langer is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biophysics, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (12 papers), MRI in cancer diagnosis (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Prostate Cancer Treatment and Research (5 papers), AI in cancer detection (4 papers), Medical Image Segmentation Techniques (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (830 citations), Pulmonary and Respiratory Medicine (877 citations) and Computer Vision and Pattern Recognition (219 citations). Deanna L. Langer has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Masoom A. Haider, Theodorus van der Kwast, Andrew Evans, John Trachtenberg, Brian C. Wilson, İmam Şamil Yetik, Miles N. Wernick, Anna Plotkin, Martin J. Yaffe and Yongyi Yang. Their work appears in journals such as Journal of Clinical Oncology, Cancer and 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.