Ulrike Nöth
Impact in
-
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Biophysics top 5%
Papers in
-
- Advanced MRI Techniques and Applications 48
- Advanced Neuroimaging Techniques and Applications 26
- MRI in cancer diagnosis 14
- Co-authors
- Ralf DeichmannSteffen VolzAxel HaaseElke HattingenChristian SchwarzbauerMarlies WagnerSean MorrisseyManoj Shrestha
- Journals
- Magnetic Resonance in Medicine (9 papers)NeuroImage (6 papers)Journal of Cerebral Blood Flow & Metabolism (4 papers)NMR in Biomedicine (4 papers)Advances in experimental medicine and biology (3 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Ulrike Nöth
69 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Radiology, Nuclear Medicine and Imaging 878
- Biophysics 81
- Cognitive Neuroscience 221
- Psychiatry and Mental health 114
- Neurology 111
Countries citing papers authored by Ulrike Nöth
This map shows the geographic impact of Ulrike Nöth'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 Ulrike Nöth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrike Nöth more than expected).
Fields of papers citing papers by Ulrike Nöth
This network shows the impact of papers produced by Ulrike Nöth. 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 Ulrike Nöth. The network helps show where Ulrike Nöth may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ulrike Nöth, 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 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2020 | 9 | |
| 4 | 2019 | 12 | |
| 5 | 2019 | 3 | |
| 6 | 2019 | 6 | |
| 7 | 2018 | 6 | |
| 8 | 2018 | 11 | |
| 9 | 2017 | 28 | |
| 10 | 2015 | 17 | |
| 11 | 2015 | 29 | |
| 12 | 2012 | 57 | |
| 13 | 2011 | 58 | |
| 14 | 2004 | 29 | |
| 15 | 2001 | 69 | |
| 16 | 2000 | 28 | |
| 17 | 1997 | 10 | |
| 18 | 1997 | 33 | |
| 19 | 1995 | 15 | |
| 20 | 1995 | 10 |
About Ulrike Nöth
Ulrike Nöth is a scholar working on Radiology, Nuclear Medicine and Imaging, Biophysics, Sensory Systems, Spectroscopy and Cognitive Neuroscience, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (48 papers), Advanced Neuroimaging Techniques and Applications (26 papers), MRI in cancer diagnosis (14 papers), Cerebrovascular and Carotid Artery Diseases (11 papers), Advanced NMR Techniques and Applications (10 papers), Acute Ischemic Stroke Management (9 papers), Atomic and Subatomic Physics Research (8 papers) and Functional Brain Connectivity Studies (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (878 citations), Biophysics (81 citations), Cognitive Neuroscience (221 citations), Psychiatry and Mental health (114 citations) and Neurology (111 citations). Ulrike Nöth has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Ralf Deichmann, Steffen Volz, Axel Haase, Elke Hattingen, Christian Schwarzbauer, Marlies Wagner, Sean Morrissey, Manoj Shrestha, Alexander Seiler and Douglas R. Corfield. Their work appears in journals such as Magnetic Resonance in Medicine, NeuroImage, Journal of Cerebral Blood Flow & Metabolism, NMR in Biomedicine and Advances in experimental medicine and biology.
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.