Gábor Szabó

7.9k citations
342 papers · 5.7k indexed · h-index 39

Gábor Szabó

322 papers receiving 5.5k citations

Peers

Gábor Szabó
Comparison fields: 5 of 151
  • Cardiology and Cardiovascular Medicine 1.7k
  • Transplantation 159
  • Pathology and Forensic Medicine 830
  • Surgery 1.9k
  • Physiology 127
Replace Stefan Dhein with:
Stefan Dhein Germany
Jie Zhang China
Herbert B. Hechtman United States
David P. Basile United States
Victor E. Laubach United States
P. Christian Schulze Germany
Gerd Wallukat Germany
Magdi H. Yacoub United Kingdom
Shigetake Sasayama Japan
Kenneth B. Margulies United States
Gábor Szabó relative to Stefan Dhein Germany Stefan Dhein's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gábor Szabó

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Szabó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20242
4 20240
5 20234
6 20237
7 201814
8
[Psychometric characteristics of the Shortened Hungarian Cloninger Temperament and Character Inventory (TCI55) based by nationwide samples].
20171
9 201530
10 201326
11 20123
12 201215
13 201122
14 20106
15
A velocity driven lumped-parameter model of mitral valve blood flow - biomed 2009.
20091
16 200930
17 20059
18
Adjuvant treatment with ursodeoxycholic acid may reduce the incidence of acute cardiac allograft rejection.
199813
19
Endemic goitre and its prevention in Hungary.
19562
20
[Effect of electroshock on kidney function].
19531

About Gábor Szabó

Gábor Szabó is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Surgery, having authored 342 papers that have together received 5.7k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (89 papers), Transplantation: Methods and Outcomes (50 papers), Organ Transplantation Techniques and Outcomes (41 papers), Nitric Oxide and Endothelin Effects (34 papers), Cardiac Valve Diseases and Treatments (29 papers), Cardiovascular Function and Risk Factors (29 papers), Mechanical Circulatory Support Devices (26 papers) and Cardiac Structural Anomalies and Repair (24 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.7k citations), Transplantation (159 citations) and Pathology and Forensic Medicine (830 citations). Gábor Szabó has collaborated with scholars based in Germany, Hungary and United States. Frequent co-authors include Tamás Radovits, Matthias Karck, Sivakkanan Loganathan, Siegfried Hagl, Susanne Bährle, Béla Merkely, Gábor Veres, Christian F. Vahl, Sevil Korkmaz and Sevil Korkmaz‐Icöz. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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