Stephen Dashnaw
Impact in
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- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Atomic and Subatomic Physics Research 5
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- Cerebrovascular and Carotid Artery Diseases 2
- Chronic Obstructive Pulmonary Disease (COPD) Research 2
- Co-authors
- Jennifer H. Menell (1 shared paper)Douglas Ballon (1 shared paper)Linda R. LaTrenta (1 shared paper)A F Abramson (1 shared paper)D. David Dershaw (1 shared paper)Laura Liberman (1 shared paper)Jennifer B. Kaplan (1 shared paper)Elizabeth A. Morris (1 shared paper)
- Journals
- Radiology (3 papers)Social Cognitive and Affective Neuroscience (1 paper)Investigative Radiology (1 paper)Neurology (1 paper)Journal of Alzheimer s Disease (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Stephen Dashnaw
17 papers receiving 637 citations
Peers
Comparison fields: 5 of 63
- Radiology, Nuclear Medicine and Imaging 263
- Neurology 147
- Genetics 73
- Pathology and Forensic Medicine 65
- Neurology 17
Countries citing papers authored by Stephen Dashnaw
This map shows the geographic impact of Stephen Dashnaw'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 Stephen Dashnaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Dashnaw more than expected).
Fields of papers citing papers by Stephen Dashnaw
This network shows the impact of papers produced by Stephen Dashnaw. 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 Stephen Dashnaw. The network helps show where Stephen Dashnaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Dashnaw, 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 | 2002 | 248 | |
| 2 | 2007 | 166 | |
| 3 | 2013 | 44 | |
| 4 | 2011 | 29 | |
| 5 | 2012 | 29 | |
| 6 | 2005 | 24 | |
| 7 | 2005 | 22 | |
| 8 | 2011 | 21 | |
| 9 | 2007 | 18 | |
| 10 | 2019 | 10 | |
| 11 | 2017 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2017 | 7 | |
| 14 | 2011 | 4 | |
| 15 | 2018 | 3 | |
| 16 | 2019 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2023 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2024 | 0 |
About Stephen Dashnaw
Stephen Dashnaw is a scholar working on Atomic and Molecular Physics, and Optics, Pulmonary and Respiratory Medicine, Molecular Biology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 645 indexed citations. Recurring topics across this work include Atomic and Subatomic Physics Research (5 papers), Neurogenetic and Muscular Disorders Research (2 papers), Muscle Physiology and Disorders (2 papers), Cardiovascular Function and Risk Factors (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Acute Ischemic Stroke Management (2 papers) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (263 citations), Neurology (147 citations), Genetics (73 citations), Pathology and Forensic Medicine (65 citations) and Neurology (17 citations). Stephen Dashnaw has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jennifer H. Menell, Douglas Ballon, Linda R. LaTrenta, A F Abramson, D. David Dershaw, Laura Liberman, Jennifer B. Kaplan, Elizabeth A. Morris, Joy Hirsch and Jacqueline Montes. Their work appears in journals such as Radiology, Social Cognitive and Affective Neuroscience, Investigative Radiology, Neurology and Journal of Alzheimer s Disease.
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.