Predrag Matić

891 citations
49 papers · 379 · h-index 12

Impact in

Papers in

Predrag Matić

43 papers receiving 361 citations

Peers

Predrag Matić
Comparison fields: 5 of 52
  • Internal Medicine 41
  • Cardiology and Cardiovascular Medicine 115
  • Pulmonary and Respiratory Medicine 127
  • Surgery 133
  • Neurology 42
Replace Marcin Gabriel with:
Marcin Gabriel Poland
William S. Gross United States
M. Laskar France
Cengiz Özbek Türkiye
Michael Gawenda Germany
Maaz A. Ghouri United States
Andrea Odero Italy
Ahmad Faraz Bhatti United Kingdom
Sanjay Sastry United Kingdom
Marcin Świerad Poland
Predrag Matić relative to Marcin Gabriel Poland Marcin Gabriel's profile →
Citations per field
00.5×1.6×
Marcin Gabriel · 1×
Citations per year

Countries citing papers authored by Predrag Matić

Since Specialization
Citations

This map shows the geographic impact of Predrag Matić'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 Predrag Matić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Predrag Matić more than expected).

Fields of papers citing papers by Predrag Matić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Predrag Matić. 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 Predrag Matić. The network helps show where Predrag Matić may publish in the future.

Co-authors

The 25 scholars most cited alongside Predrag Matić, 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 Predrag Matić Line = papers co-authored together Predrag Matić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201537
2 201334
3 201226
4 201525
5 201423
6 201517
7 200717
8 201315
9 201815
10 201414
11 201513
12 201313
13 201710
14 201210
15 20238
16
True First-Line Local-Anesthesia Only Protocol for Transfemoral TAVI.
20158
17 20098
18 20227
19 20027
20 20146

About Predrag Matić

Predrag Matić is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery, Neurology and Epidemiology, having authored 49 papers that have together received 379 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (13 papers), Cardiovascular Health and Disease Prevention (5 papers), Intracranial Aneurysms: Treatment and Complications (4 papers), Acute Ischemic Stroke Management (4 papers), Infectious Aortic and Vascular Conditions (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Vascular Procedures and Complications (3 papers) and Diagnosis and Treatment of Venous Diseases (3 papers). The work is most often cited by research in Internal Medicine (41 citations), Cardiology and Cardiovascular Medicine (115 citations), Pulmonary and Respiratory Medicine (127 citations), Surgery (133 citations) and Neurology (42 citations). Predrag Matić has collaborated with scholars based in Serbia, Germany and United States. Frequent co-authors include Slobodan Tanasković, Djordje J. Radak, Srdjan Babić, Nenad S. Ilijevski, Sameer A. Gafoor, Laura Vaškelytė, Stefan Christian Bertog, Ilona Hofmann, Horst Sievert and Hristina Vlajinac. Their work appears in journals such as Annals of Vascular Surgery, Journal of Vascular Surgery, Catheterization and Cardiovascular Interventions, Phlebology The Journal of Venous Disease and Journal of Endovascular Therapy.

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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