Maja Ukmar
Impact in
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- Multiple Sclerosis Research Studies
- Neurology top 5%
- Peripheral Neuropathies and Disorders
- Long-Term Effects of COVID-19
Papers in
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- Multiple Sclerosis Research Studies 10
- Epidemiology 11
- Acute Ischemic Stroke Management 10
- Co-authors
- Marino Zorzon (12 shared papers)Giuseppe Cazzato (15 shared papers)Robert Zivadinov (10 shared papers)Davide Nasuelli (8 shared papers)Raffaella I. Rumiati (4 shared papers)Roberto De Masi (3 shared papers)A. Grop (4 shared papers)Alessio Bratina (8 shared papers)
- Journals
- La radiologia medica (5 papers)Neurological Sciences (4 papers)European Radiology (4 papers)Journal of Neurology (3 papers)Journal of the Neurological Sciences (3 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Maja Ukmar
65 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 107
- Pathology and Forensic Medicine 770
- Neurology 293
- Cognitive Neuroscience 397
- Neurology 154
- Sensory Systems 78
Countries citing papers authored by Maja Ukmar
This map shows the geographic impact of Maja Ukmar'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 Maja Ukmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Ukmar more than expected).
Fields of papers citing papers by Maja Ukmar
This network shows the impact of papers produced by Maja Ukmar. 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 Maja Ukmar. The network helps show where Maja Ukmar may publish in the future.
Co-authors
The 25 scholars most cited alongside Maja Ukmar, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 272 | |
| 2 | 2001 | 180 | |
| 3 | 2007 | 163 | |
| 4 | 2006 | 142 | |
| 5 | 2001 | 100 | |
| 6 | 2008 | 70 | |
| 7 | 2013 | 69 | |
| 8 | 2007 | 65 | |
| 9 | 2000 | 63 | |
| 10 | 2007 | 62 | |
| 11 | 2023 | 61 | |
| 12 | 2002 | 58 | |
| 13 | 2006 | 45 | |
| 14 | 2004 | 44 | |
| 15 | 2004 | 39 | |
| 16 | 2018 | 39 | |
| 17 | 2003 | 37 | |
| 18 | 2009 | 36 | |
| 19 | 2004 | 34 | |
| 20 | 2003 | 32 |
About Maja Ukmar
Maja Ukmar is a scholar working on Pathology and Forensic Medicine, Epidemiology, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 69 papers that have together received 2.1k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (10 papers), Acute Ischemic Stroke Management (10 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Action Observation and Synchronization (4 papers), Functional Brain Connectivity Studies (4 papers), Advanced MRI Techniques and Applications (4 papers), Neurological disorders and treatments (3 papers) and Hearing Impairment and Communication (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (770 citations), Neurology (293 citations), Cognitive Neuroscience (397 citations), Neurology (154 citations) and Sensory Systems (78 citations). Maja Ukmar has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Marino Zorzon, Giuseppe Cazzato, Robert Zivadinov, Davide Nasuelli, Raffaella I. Rumiati, Roberto De Masi, A. Grop, Alessio Bratina, Maria Assunta Cova and Roberto Pozzi Mucelli. Their work appears in journals such as La radiologia medica, Neurological Sciences, European Radiology, Journal of Neurology and Journal of the Neurological Sciences.
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.