Tamás Csont

116 papers receiving 4.0k citations

Peers

Tamás Csont
Comparison fields: 5 of 125
  • Developmental Neuroscience 317
  • Pathology and Forensic Medicine 1.2k
  • Cardiology and Cardiovascular Medicine 1.1k
  • Emergency Medicine 452
  • Physiology 1.1k
Replace Xinliang Ma with:
Xinliang Ma United States
Masaya Tanno Japan
Tetsuo Minamino Japan
Csaba Csonka Hungary
Haichang Wang China
Amanda Lochner South Africa
Cláudia Penna Italy
Sabzali Javadov Puerto Rico
Maike Krenz United States
Guro Valen Sweden
Tamás Csont relative to Xinliang Ma United States Xinliang Ma's profile →
Citations per field
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Xinliang Ma · 1×
Citations per year

Countries citing papers authored by Tamás Csont

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Csont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20243
3 20234
4 20228
5 20227
6 20213
7 20207
8 202014
9 202011
10 201815
11 201328
12 201122
13 201032
14 200791
15 200736
16 200430
17 200228
18 200142
19 1999105
20 1997107

About Tamás Csont

Tamás Csont is a scholar working on Pathology and Forensic Medicine, Emergency Medicine, Developmental Neuroscience, Cardiology and Cardiovascular Medicine and Physiology, having authored 119 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (59 papers), Nitric Oxide and Endothelin Effects (27 papers), Cardiac Arrest and Resuscitation (18 papers), Cardiac Fibrosis and Remodeling (11 papers), Cardiovascular Function and Risk Factors (10 papers), Cardiac electrophysiology and arrhythmias (9 papers), Cardiac Imaging and Diagnostics (8 papers) and Adipose Tissue and Metabolism (8 papers). The work is most often cited by research in Developmental Neuroscience (317 citations), Pathology and Forensic Medicine (1.2k citations), Cardiology and Cardiovascular Medicine (1.1k citations), Emergency Medicine (452 citations) and Physiology (1.1k citations). Tamás Csont has collaborated with scholars based in Hungary, Canada and Germany. Frequent co-authors include Csaba Csonka, Péter Ferdinandy, Péter Ferdinándy, Péter Bencsik, Richard Schulz, Anikó Görbe, Márta Sárközy, Krisztina Kupai, Márton Pipicz and Gergő Szűcs. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, International Journal of Molecular Sciences, American Journal of Physiology-Heart and Circulatory Physiology, British Journal of Pharmacology and Lipids in Health and Disease.

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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