Médea Veszelka

20 papers receiving 432 citations

Peers

Médea Veszelka
Comparison fields: 5 of 85
  • Drug Discovery 1
  • Endocrinology, Diabetes and Metabolism 64
  • Rehabilitation 25
  • Complementary and alternative medicine 30
  • Geriatrics and Gerontology 12
Replace Wenliang Zhang with:
Wenliang Zhang China
Ricardo José Tofano Brazil
Daisuke Sato Japan
Shawna L. McMillin United States
Pascal P. H. Hommelberg Netherlands
Olha Zhenyukh Spain
Dániel Priksz Hungary
Zehua Li China
Roya Naderi Iran
Ramazan Memişoğulları Türkiye
Médea Veszelka relative to Wenliang Zhang China Wenliang Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Médea Veszelka

Since Specialization
Citations

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

Fields of papers citing papers by Médea Veszelka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2016232
2 201537
3 201532
4 202421
5 201520
6 201714
7 202213
8 202312
9 201511
10 20219
11 20188
12 20237
13 20226
14
The Effects of Exercise Training and High Triglyceride Diet in an Estrogen Depleted Rat Model: The Role of the Heme Oxygenase System and Inflammatory Processes in Cardiovascular Risk.
20186
15 20243
16 20203
17
Novel features of the rat model of inflammatory bowel disease based on 2,4,6-trinitrobenzenesulfonic acidinduced acute colitis
20143
18 20232
19 20251
20 20241

About Médea Veszelka

Médea Veszelka is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Epidemiology and Biochemistry, having authored 20 papers that have together received 441 indexed citations. Recurring topics across this work include Heme Oxygenase-1 and Carbon Monoxide (5 papers), Adipose Tissue and Metabolism (3 papers), Climate Change and Health Impacts (2 papers), Cardiac Arrest and Resuscitation (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Regulation of Appetite and Obesity (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Exercise and Physiological Responses (2 papers). The work is most often cited by research in Drug Discovery (1 citation), Endocrinology, Diabetes and Metabolism (64 citations), Rehabilitation (25 citations), Complementary and alternative medicine (30 citations) and Geriatrics and Gerontology (12 citations). Médea Veszelka has collaborated with scholars based in Hungary, Austria and Qatar. Frequent co-authors include Csaba Varga, Anikó Pósa, Szilvia Török, Krisztina Kupai, Amin Al-Awar, Gergő Szűcs, Zsolt Murlasits, Zouhair K. Attieh, Renáta Szabó and A. Berkó. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, Antioxidants, American Journal of Physiology-Heart and Circulatory Physiology, Cardiovascular Drugs and Therapy and Applied Sciences.

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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