Mark Sundman
Impact in
- Neurology top 2%
- Transcranial Magnetic Stimulation Studies
- Neurological disorders and treatments
- Parkinson's Disease Mechanisms and Treatments
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
Papers in
-
- Transcranial Magnetic Stimulation Studies 7
- Parkinson's Disease Mechanisms and Treatments 3
-
- Functional Brain Connectivity Studies 6
- EEG and Brain-Computer Interfaces 2
- Co-authors
- Ying‐hui Chou (13 shared papers)Nan‐kuei Chen (8 shared papers)Viet Ton That (4 shared papers)Patrick Hickey (3 shared papers)Allen W. Song (3 shared papers)Vignesh Subbian (1 shared paper)Carol P. Weingarten (3 shared papers)Jacob Green (1 shared paper)
- Journals
- Neuroscience & Biobehavioral Reviews (2 papers)Brain Connectivity (2 papers)GeroScience (1 paper)Scientific Reports (1 paper)Brain Communications (1 paper)
- Partner nations
- United StatesFrancePoland
In The Last Decade
Mark Sundman
19 papers receiving 924 citations
Peers
Comparison fields: 5 of 87
- Neurology 397
- Neurology 312
- Cognitive Neuroscience 276
- Biological Psychiatry 33
- Rehabilitation 63
Countries citing papers authored by Mark Sundman
This map shows the geographic impact of Mark Sundman'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 Mark Sundman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Sundman more than expected).
Fields of papers citing papers by Mark Sundman
This network shows the impact of papers produced by Mark Sundman. 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 Mark Sundman. The network helps show where Mark Sundman may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Sundman, 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 | 2019 | 215 | |
| 2 | 2015 | 163 | |
| 3 | 2017 | 150 | |
| 4 | 2015 | 119 | |
| 5 | 2015 | 58 | |
| 6 | 2022 | 53 | |
| 7 | 2015 | 31 | |
| 8 | 2022 | 30 | |
| 9 | 2017 | 29 | |
| 10 | 2018 | 23 | |
| 11 | 2018 | 19 | |
| 12 | 2017 | 15 | |
| 13 | 2020 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 1 |
About Mark Sundman
Mark Sundman is a scholar working on Neurology, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology and Epidemiology, having authored 19 papers that have together received 939 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (7 papers), Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Traumatic Brain Injury Research (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Cardiac Arrest and Resuscitation (3 papers), Optical Imaging and Spectroscopy Techniques (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Neurology (397 citations), Neurology (312 citations), Cognitive Neuroscience (276 citations), Biological Psychiatry (33 citations) and Rehabilitation (63 citations). Mark Sundman has collaborated with scholars based in United States, France and Poland. Frequent co-authors include Ying‐hui Chou, Nan‐kuei Chen, Viet Ton That, Patrick Hickey, Allen W. Song, Vignesh Subbian, Carol P. Weingarten, Jacob Green, Rajendra A. Morey and P. Murali Doraiswamy. Their work appears in journals such as Neuroscience & Biobehavioral Reviews, Brain Connectivity, GeroScience, Scientific Reports and Brain Communications.
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.