Steve Vucic
Impact in
Papers in
- Co-authors
- Matthew C. Kiernan (197 shared papers)Parvathi Menon (84 shared papers)Benjamin C. Cheah (15 shared papers)James R. Burrell (6 shared papers)Martin R. Turner (6 shared papers)Andrew Eisen (5 shared papers)Orla Hardiman (4 shared papers)Margaret Zoing (3 shared papers)
- Journals
- Clinical Neurophysiology (57 papers)Muscle & Nerve (26 papers)Journal of Neurology Neurosurgery & Psychiatry (21 papers)Neurology (12 papers)Brain (11 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Steve Vucic
295 papers receiving 13.3k citations
Steve Vucic's Hit Papers
Peers
Comparison fields: 5 of 143
- Neurology 9.0k
- Genetics 3.3k
- Neurology 2.5k
- Cellular and Molecular Neuroscience 1.9k
- Pathology and Forensic Medicine 1.3k
Countries citing papers authored by Steve Vucic
This map shows the geographic impact of Steve Vucic'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 Steve Vucic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Vucic more than expected).
Fields of papers citing papers by Steve Vucic
This network shows the impact of papers produced by Steve Vucic. 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 Steve Vucic. The network helps show where Steve Vucic may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Vucic, 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 308 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Amyotrophic lateral sclerosis Hit paper breakdown → | 2011 | 1910 |
| 2 | Clinical course, therapeutic responses and outcomes in relapsing MOG antibody-associated demyelination Hit paper breakdown → | 2017 | 400 |
| 3 | 2013 | 387 | |
| 4 | 2008 | 375 | |
| 5 | 2006 | 271 | |
| 6 | 2015 | 254 | |
| 7 | 2011 | 245 | |
| 8 | 2020 | 231 | |
| 9 | 2010 | 211 | |
| 10 | 2012 | 200 | |
| 11 | 2009 | 195 | |
| 12 | 2020 | 186 | |
| 13 | 2014 | 176 | |
| 14 | 2014 | 172 | |
| 15 | 2016 | 169 | |
| 16 | 2016 | 162 | |
| 17 | 2015 | 161 | |
| 18 | 2005 | 160 | |
| 19 | 2006 | 157 | |
| 20 | 2009 | 156 |
About Steve Vucic
Steve Vucic is a scholar working on Neurology, Neurology, Genetics, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine, having authored 308 papers that have together received 13.5k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (148 papers), Neurogenetic and Muscular Disorders Research (59 papers), Transcranial Magnetic Stimulation Studies (49 papers), Peripheral Neuropathies and Disorders (33 papers), Parkinson's Disease Mechanisms and Treatments (32 papers), Genetic Neurodegenerative Diseases (23 papers), Hereditary Neurological Disorders (22 papers) and Multiple Sclerosis Research Studies (17 papers). The work is most often cited by research in Neurology (9.0k citations), Genetics (3.3k citations), Neurology (2.5k citations), Cellular and Molecular Neuroscience (1.9k citations) and Pathology and Forensic Medicine (1.3k citations). Steve Vucic has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Matthew C. Kiernan, Parvathi Menon, Benjamin C. Cheah, James R. Burrell, Martin R. Turner, Andrew Eisen, Orla Hardiman, Margaret Zoing, Garth A. Nicholson and Nimeshan Geevasinga. Their work appears in journals such as Clinical Neurophysiology, Muscle & Nerve, Journal of Neurology Neurosurgery & Psychiatry, Neurology and Brain.
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.