Tamás Szabó

142 papers receiving 5.5k citations

Tamás Szabó's Hit Papers

Distinct RNA profiles in subpopulations of extracellular vesicles: apoptotic bodies, microvesicles and exosomes 2013 · 815 citations
8150+5+10Years since publication50010001.5k

Peers

Tamás Szabó
Comparison fields: 5 of 157
  • Sensory Systems 821
  • Cancer Research 1.5k
  • Molecular Biology 3.6k
  • Immunology 746
  • Immunology and Allergy 168
Replace Hajime Sano with:
Hajime Sano Japan
Raúl Urrutia United States
Fan Zhang China
Troy Stevens United States
William T. Gerthoffer United States
Michael J. Caplan United States
Daniel Martı́n United States
Xiaobo Wang China
Rita De Vos Belgium
Andrew F. G. Quest Chile
Tamás Szabó relative to Hajime Sano Japan Hajime Sano's profile →
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Countries citing papers authored by Tamás Szabó

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Szabó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Membrane vesicles, current state-of-the-art: emerging role of extracellular vesicles
Hit paper breakdown →
20111728
2
Distinct RNA profiles in subpopulations of extracellular vesicles: apoptotic bodies, microvesicles and exosomes
Hit paper breakdown →
2013815
3 2001261
4 2001203
5 2015152
6 2011129
7 2021127
8 2012121
9 200196
10 201394
11 202092
12 200280
13 200275
14 200458
15 199958
16 199949
17 200847
18 202044
19 201444
20 200844

About Tamás Szabó

Tamás Szabó is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Sensory Systems and Immunology, having authored 150 papers that have together received 5.5k indexed citations. Recurring topics across this work include Ion Channels and Receptors (18 papers), Pain Mechanisms and Treatments (14 papers), Neuroscience and Neuropharmacology Research (13 papers), Ion channel regulation and function (13 papers), Extracellular vesicles in disease (10 papers), Sports Performance and Training (8 papers), Renal Diseases and Glomerulopathies (7 papers) and Sports injuries and prevention (7 papers). The work is most often cited by research in Sensory Systems (821 citations), Cancer Research (1.5k citations), Molecular Biology (3.6k citations), Immunology (746 citations) and Immunology and Allergy (168 citations). Tamás Szabó has collaborated with scholars based in Hungary, United States and Austria. Frequent co-authors include Edit I. Buzás, Ágnes Kittel, András Falus, Bence György, Éva Pállinger, Peter M. Blumberg, Borbála Aradi, Petra Misják, György Nagy and Mária Pásztói. Their work appears in journals such as Journal of Cardiovascular Pharmacology, British Journal of Pharmacology, Bioorganic & Medicinal Chemistry, Frontiers in Immunology and Journal of Biological Chemistry.

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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