Zsófia Mezei

27 papers receiving 354 citations

Peers

Zsófia Mezei
Comparison fields: 5 of 65
  • Biochemistry 60
  • Neurology 48
  • Cellular and Molecular Neuroscience 86
  • Medical Terminology 1
  • Endocrine and Autonomic Systems 26
Replace Á Gecse with:
Á Gecse Hungary
Takaharu Ono Japan
Mária Kovalská Slovakia
Christer Strömberg United States
Ulla Holtbäck Sweden
Toshiaki Mito Japan
Z Ota Japan
Judith A. Kelleher United States
Magdalena J. Rossowska United States
J. Bembry United States
Zsófia Mezei relative to Á Gecse Hungary Á Gecse's profile →
Citations per field
00.5×
Á Gecse · 1×
Citations per year

Countries citing papers authored by Zsófia Mezei

Since Specialization
Citations

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

Fields of papers citing papers by Zsófia Mezei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198258
2 199937
3
Lack of endothelium-derived hyperpolarizing factor (EDHF) up-regulation in endothelial dysfunction in aorta in diabetic rats.
200837
4 199934
5 200027
6 200025
7 198125
8 198216
9 199713
10 199613
11 199913
12 198912
13
Prostacyclin and prostaglandin synthesis in rat brain microvessels: characteristic changes in hypoxaemia.
198112
14 20158
15 19997
16 19996
17 19874
18 19884
19 20043
20
The effect of hypoxic and hypobaric exercises on the blood-brain barrier in rats.
19803

About Zsófia Mezei

Zsófia Mezei is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biochemistry, Pharmacology and Physiology, having authored 28 papers that have together received 370 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (8 papers), Receptor Mechanisms and Signaling (8 papers), Eicosanoids and Hypertension Pharmacology (8 papers), Nitric Oxide and Endothelin Effects (7 papers), Inflammatory mediators and NSAID effects (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Metabolism and Genetic Disorders (2 papers) and Pharmacological Effects and Toxicity Studies (2 papers). The work is most often cited by research in Biochemistry (60 citations), Neurology (48 citations), Cellular and Molecular Neuroscience (86 citations), Medical Terminology (1 citation) and Endocrine and Autonomic Systems (26 citations). Zsófia Mezei has collaborated with scholars based in Hungary, United Kingdom and Czechia. Frequent co-authors include Á Gecse, Gyula Telegdy, Béla Kis, Ferenc Joó, E. Dux, Irina Karnushina, Anna Ottlecz, László Vécsei, G. Szabó and István Leprán. Their work appears in journals such as European Journal of Pharmacology, Platelets, Inflammation Research, Advances in experimental medicine and biology and Canadian Journal of Physiology and Pharmacology.

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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