Rita Börzsei

29 papers receiving 675 citations

Peers

Rita Börzsei
Comparison fields: 5 of 77
  • Sensory Systems 250
  • Cellular and Molecular Neuroscience 278
  • Physiology 196
  • Endocrine and Autonomic Systems 43
  • Reproductive Medicine 38
Replace Éva Sághy with:
Éva Sághy Hungary
Maja Payrits Hungary
Jill‐Desiree Brederson United States
Jonathan Bullman United Kingdom
Márta Thán Hungary
Neide Hyppolito Jurkiewicz Brazil
Devin M. Swanson United States
Xue‐Mei Hao China
Sándor Zoltán Hungary
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Citations per field
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Citations per year

Countries citing papers authored by Rita Börzsei

Since Specialization
Citations

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

Fields of papers citing papers by Rita Börzsei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200991
2 201583
3 200764
4 200544
5 200743
6 200442
7 200940
8 201135
9 200735
10 200832
11 200726
12 201923
13
Role of transient receptor potential vanilloid 1 receptors in endotoxin-induced airway inflammation in the mouse. Am J Physiol Lung Cell Mol Physiol 292:L1173-L1181
200722
14 202117
15 201016
16 202312
17 20109
18 20109
19 20238
20 20217

About Rita Börzsei

Rita Börzsei is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Sensory Systems, Physiology and Nutrition and Dietetics, having authored 30 papers that have together received 683 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (13 papers), Ion Channels and Receptors (9 papers), Pain Mechanisms and Treatments (6 papers), Receptor Mechanisms and Signaling (5 papers), Protein Structure and Dynamics (4 papers), Computational Drug Discovery Methods (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers) and Biochemical Analysis and Sensing Techniques (4 papers). The work is most often cited by research in Sensory Systems (250 citations), Cellular and Molecular Neuroscience (278 citations), Physiology (196 citations), Endocrine and Autonomic Systems (43 citations) and Reproductive Medicine (38 citations). Rita Börzsei has collaborated with scholars based in Hungary, Pakistan and United States. Frequent co-authors include Zsuzsanna Helyes, Janós Szolcsányi, Erika Pintér, Éva Szőke, Krisztián Elekes, József Németh, Gábor Pozsgai, Árpád Szabó, Katalin Sándor and Teréz Bagoly. Their work appears in journals such as International Journal of Molecular Sciences, European Journal of Pharmacology, Journal of Molecular Neuroscience, Journal of Chemical Information and Modeling and Peptides.

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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