Peter Vaško

769 citations
27 papers · 319 indexed · h-index 9

Impact in

Papers in

Peter Vaško

27 papers receiving 314 citations

Peers

Peter Vaško
Comparison fields: 5 of 58
  • Cardiology and Cardiovascular Medicine 162
  • Internal Medicine 24
  • Family Practice 13
  • Pulmonary and Respiratory Medicine 71
  • Endocrinology, Diabetes and Metabolism 36
Replace Fung Peng Woon with:
Fung Peng Woon Singapore
Josep Lluís Clua‐Espuny Spain
Adrian H. Shandling United States
Wook‐Joo Kim South Korea
Helen L. Po Taiwan
Ali Kerro United States
Shu‐Kai Hsueh Taiwan
Mike Sharma Canada
Kiyoshi Wakugami Japan
Jens Benemann Germany
Peter Vaško relative to Fung Peng Woon Singapore Fung Peng Woon's profile →
Citations per field
00.5×4.2×
Fung Peng Woon · 1×
Citations per year

Countries citing papers authored by Peter Vaško

Since Specialization
Citations

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

Fields of papers citing papers by Peter Vaško

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201890
2 201655
3 201838
4 202021
5 202214
6 202214
7 201712
8 201412
9 20229
10 20218
11 20216
12 20136
13 20156
14 20145
15 20184
16 20203
17
Left ventricle cardiac myxoma as a cause of ischaemic stroke in young patient treated by mechanical thrombectomy.
20203
18 20202
19 20212
20 20152

About Peter Vaško

Peter Vaško is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Neurology and Surgery, having authored 27 papers that have together received 319 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (10 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), Heart Failure Treatment and Management (5 papers), Cardiovascular Function and Risk Factors (3 papers), Myofascial pain diagnosis and treatment (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Musculoskeletal pain and rehabilitation (3 papers) and Venous Thromboembolism Diagnosis and Management (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (162 citations), Internal Medicine (24 citations), Family Practice (13 citations), Pulmonary and Respiratory Medicine (71 citations) and Endocrinology, Diabetes and Metabolism (36 citations). Peter Vaško has collaborated with scholars based in Czechia, Sweden and Switzerland. Frequent co-authors include Lars H. Lund, Ulf Dahlström, Gianluigi Savarese, Åsa Jonsson, Magnus Edner, Ivana Štětkářová, Martin Krbec, Bertram Pitt, Tomáš Peisker and Petr Widimský. Their work appears in journals such as Clinical Neurophysiology, European Heart Journal, EuroIntervention, PLoS ONE and JACC: Cardiovascular Interventions.

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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