Dan Rettmann
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- Advanced MRI Techniques and Applications 20
- Medical Imaging Techniques and Applications 8
- MRI in cancer diagnosis 7
- Cardiac Imaging and Diagnostics 6
- Advanced Neuroimaging Techniques and Applications 6
- Radiomics and Machine Learning in Medical Imaging 1
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- Cardiovascular Function and Risk Factors 2
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies 2
- Co-authors
- Nathan S. WhiteEric HanAnders M. DaleAjit ShankaranarayananGilberto SzarfLuciano C. AmadoBernhard GerberJoão A.C. Lima
- Cited by
- Radiology, Nuclear Medicine and ImagingCardiology and Cardiovascular MedicineCognitive Neuroscience
- Journals
- Journal of Magnetic Resonance Imaging (7 papers)Magnetic Resonance in Medicine (3 papers)NeuroImage (2 papers)
- Partner nations
- United StatesSpainJapan
In The Last Decade
Dan Rettmann
22 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Radiology, Nuclear Medicine and Imaging 1.1k
- Cardiology and Cardiovascular Medicine 335
- Cognitive Neuroscience 157
- Atomic and Molecular Physics, and Optics 118
- Pediatrics, Perinatology and Child Health 73
Countries citing papers authored by Dan Rettmann
This map shows the geographic impact of Dan Rettmann'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 Dan Rettmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Rettmann more than expected).
Fields of papers citing papers by Dan Rettmann
This network shows the impact of papers produced by Dan Rettmann. 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 Dan Rettmann. The network helps show where Dan Rettmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan Rettmann, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 6 | |
| 5 | 2018 | 10 | |
| 6 | 2018 | 29 | |
| 7 | 2017 | 25 | |
| 8 | 2017 | 6 | |
| 9 | 2016 | 10 | |
| 10 | 2012 | 115 | |
| 11 | 2011 | 43 | |
| 12 | 2010 | 101 | |
| 13 | 2009 | 5 | |
| 14 | 2009 | 13 | |
| 15 | 2009 | 281 | |
| 16 | 2007 | 14 | |
| 17 | 2005 | 3 | |
| 18 | 2005 | 4 | |
| 19 | 2004 | 228 | |
| 20 | 2004 | 380 |
About Dan Rettmann
Dan Rettmann is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health, Neurology, Cardiology and Cardiovascular Medicine and Hepatology, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (20 papers), Medical Imaging Techniques and Applications (8 papers), MRI in cancer diagnosis (7 papers), Cardiac Imaging and Diagnostics (6 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Functional Brain Connectivity Studies (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Cardiology and Cardiovascular Medicine (335 citations), Cognitive Neuroscience (157 citations), Atomic and Molecular Physics, and Optics (118 citations) and Pediatrics, Perinatology and Child Health (73 citations). Dan Rettmann has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Nathan S. White, Eric Han, Anders M. Dale, Ajit Shankaranarayanan, Gilberto Szarf, Luciano C. Amado, Bernhard Gerber, João A.C. Lima, Sandeep Gupta and Khurram Nasir. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Magnetic Resonance in Medicine, NeuroImage, American Journal of Neuroradiology and Scientific Reports.
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.