Maja Ukmar

2.7k citations
69 papers · 2.1k · h-index 26

Impact in

Papers in

    • Acute Ischemic Stroke Management 12
    • Traumatic Brain Injury and Neurovascular Disturbances 9
    • Neurological disorders and treatments 4

Maja Ukmar

65 papers receiving 2.0k citations

Peers

Maja Ukmar
Comparison fields: 5 of 110
  • Pathology and Forensic Medicine 834
  • Neurology 425
  • Neurology 197
  • Cognitive Neuroscience 444
  • Sensory Systems 86
Replace Flavia Mattioli with:
Flavia Mattioli Italy
Danielle Ibarrola France
Ugo Nocentini Italy
David I. Kaufman United States
Kathleen M. Zackowski United States
Mauro Bergui Italy
Alvino Bisecco Italy
Nicolas Menjot de Champfleur France
Stefano Magon Switzerland
Laura Bonzano Italy
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Citations per field
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Citations per year

Countries citing papers authored by Maja Ukmar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Maja Ukmar Line = papers co-authored together Maja Ukmar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001272
2 2001180
3 2007162
4 2006142
5 200199
6 201369
7 200869
8 200765
9 200063
10 200762
11 200258
12 202353
13 200645
14 200444
15 201839
16 200439
17 200337
18 200935
19 200434
20 200332

About Maja Ukmar

Maja Ukmar is a scholar working on Epidemiology, Neurology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 69 papers that have together received 2.1k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (13 papers), Acute Ischemic Stroke Management (12 papers), Traumatic Brain Injury and Neurovascular Disturbances (9 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Advanced MRI Techniques and Applications (5 papers), Action Observation and Synchronization (4 papers), Neurological disorders and treatments (4 papers) and Colorectal Cancer Surgical Treatments (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (834 citations), Neurology (425 citations), Neurology (197 citations), Cognitive Neuroscience (444 citations) and Sensory Systems (86 citations). Maja Ukmar has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Marino Zorzon, Giuseppe Cazzato, Robert Zivadinov, Davide Nasuelli, Raffaella I. Rumiati, Roberto De Masi, Roberto Pozzi Mucelli, A. Grop, Alessio Bratina and Maria Assunta Cova. Their work appears in journals such as La radiologia medica, European Radiology, Neurological Sciences, Multiple Sclerosis Journal and Journal of Neurology.

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.

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