Simon M. Danner
Impact in
- Neurology top 2%
- Transcranial Magnetic Stimulation Studies
-
- Spinal Cord Injury Research
Papers in
-
- Spinal Cord Injury Research 20
-
- Robotic Locomotion and Control 9
- Muscle activation and electromyography studies 8
- Co-authors
- Ursula S. Hofstoetter (16 shared papers)Karen Minassian (16 shared papers)Winfried Mayr (12 shared papers)Ilya A. Rybak (12 shared papers)Frank Rattay (9 shared papers)Natalia A. Shevtsova (7 shared papers)Matthias Krenn (7 shared papers)Brigitta Freundl (4 shared papers)
- Journals
- Artificial Organs (4 papers)eLife (3 papers)Frontiers in Neuroscience (2 papers)The Journal of Physiology (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesAustriaCanada
In The Last Decade
Simon M. Danner
37 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 72
- Neurology 406
- Pathology and Forensic Medicine 792
- Rehabilitation 213
- Anesthesiology and Pain Medicine 132
- Cognitive Neuroscience 245
Countries citing papers authored by Simon M. Danner
This map shows the geographic impact of Simon M. Danner'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 Simon M. Danner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon M. Danner more than expected).
Fields of papers citing papers by Simon M. Danner
This network shows the impact of papers produced by Simon M. Danner. 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 Simon M. Danner. The network helps show where Simon M. Danner may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon M. Danner, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 124 | |
| 2 | 2015 | 115 | |
| 3 | 2015 | 112 | |
| 4 | 2019 | 103 | |
| 5 | 2015 | 102 | |
| 6 | 2017 | 83 | |
| 7 | 2016 | 77 | |
| 8 | 2016 | 62 | |
| 9 | 2013 | 56 | |
| 10 | 2015 | 54 | |
| 11 | 2015 | 52 | |
| 12 | 2019 | 45 | |
| 13 | 2019 | 38 | |
| 14 | 2013 | 36 | |
| 15 | 2018 | 30 | |
| 16 | 2014 | 27 | |
| 17 | 2022 | 23 | |
| 18 | 2015 | 22 | |
| 19 | 2014 | 19 | |
| 20 | 2013 | 18 |
About Simon M. Danner
Simon M. Danner is a scholar working on Pathology and Forensic Medicine, Biomedical Engineering, Surgery, Cell Biology and Cognitive Neuroscience, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (20 papers), Robotic Locomotion and Control (9 papers), Nerve Injury and Rehabilitation (9 papers), Zebrafish Biomedical Research Applications (9 papers), Muscle activation and electromyography studies (8 papers), Neuroscience of respiration and sleep (6 papers), Stroke Rehabilitation and Recovery (6 papers) and Transcranial Magnetic Stimulation Studies (5 papers). The work is most often cited by research in Neurology (406 citations), Pathology and Forensic Medicine (792 citations), Rehabilitation (213 citations), Anesthesiology and Pain Medicine (132 citations) and Cognitive Neuroscience (245 citations). Simon M. Danner has collaborated with scholars based in United States, Austria and Canada. Frequent co-authors include Ursula S. Hofstoetter, Karen Minassian, Winfried Mayr, Ilya A. Rybak, Frank Rattay, Natalia A. Shevtsova, Matthias Krenn, Brigitta Freundl, Heinrich Binder and William McKay. Their work appears in journals such as Artificial Organs, eLife, Frontiers in Neuroscience, The Journal of Physiology and PLoS ONE.
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.