Éva Borbély

1.3k total citations
41 papers, 978 citations indexed

About

Éva Borbély is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Éva Borbély has authored 41 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cellular and Molecular Neuroscience, 19 papers in Physiology and 15 papers in Molecular Biology. Recurrent topics in Éva Borbély's work include Neuropeptides and Animal Physiology (21 papers), Pain Mechanisms and Treatments (17 papers) and Ion Channels and Receptors (12 papers). Éva Borbély is often cited by papers focused on Neuropeptides and Animal Physiology (21 papers), Pain Mechanisms and Treatments (17 papers) and Ion Channels and Receptors (12 papers). Éva Borbély collaborates with scholars based in Hungary, United Kingdom and Canada. Éva Borbély's co-authors include Zsuzsanna Helyes, Bálint Scheich, Erika Pintér, Janós Szolcsányi, Valéria Tékus, Ágnes Kemény, Bálint Botz, Zsófia Hajna, Ádám Horváth and Balázs Gaszner and has published in prestigious journals such as PLoS ONE, Scientific Reports and Pain.

In The Last Decade

Éva Borbély

38 papers receiving 960 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Éva Borbély Hungary 20 359 332 296 167 117 41 978
Haifeng Shu China 18 327 0.9× 165 0.5× 358 1.2× 93 0.6× 93 0.8× 57 1.3k
Michelle K. Winter United States 16 297 0.8× 382 1.2× 218 0.7× 58 0.3× 87 0.7× 31 952
Filipe C. Matheus Brazil 18 366 1.0× 209 0.6× 203 0.7× 76 0.5× 55 0.5× 34 1.0k
Yu‐Lin Dong China 20 465 1.3× 569 1.7× 285 1.0× 62 0.4× 112 1.0× 47 1.1k
Chia‐Chuan Wang Taiwan 17 568 1.6× 654 2.0× 276 0.9× 61 0.4× 151 1.3× 31 1.2k
Changyu Jiang China 25 419 1.2× 775 2.3× 430 1.5× 263 1.6× 103 0.9× 62 1.6k
Yu‐Feng Xie Canada 19 492 1.4× 616 1.9× 324 1.1× 236 1.4× 105 0.9× 51 1.8k
Fu‐Quan Huo China 21 402 1.1× 528 1.6× 255 0.9× 90 0.5× 121 1.0× 36 1.1k
Eric H. Chang United States 18 397 1.1× 262 0.8× 279 0.9× 119 0.7× 78 0.7× 44 1.3k
Tzer-Bin Lin Taiwan 20 343 1.0× 429 1.3× 272 0.9× 45 0.3× 188 1.6× 50 1.0k

Countries citing papers authored by Éva Borbély

Since Specialization
Citations

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

Fields of papers citing papers by Éva Borbély

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éva Borbély

This figure shows the co-authorship network connecting the top 25 collaborators of Éva Borbély. A scholar is included among the top collaborators of Éva Borbély based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Éva Borbély. Éva Borbély is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tékus, Valéria, Éva Borbély, Andreas Göebel, et al.. (2025). Novel approaches for drug development against chronic primary pain: A systematic review. British Journal of Pharmacology.
2.
Horváth, Ádám, Kata Bölcskei, Éva Borbély, et al.. (2024). Novel multitarget analgesic candidate SZV-1287 demonstrates potential disease-modifying effects in the monoiodoacetate-induced osteoarthritis mouse model. Frontiers in Pharmacology. 15. 1377081–1377081.
3.
Borbély, Éva, Angéla Kecskés, József Kun, et al.. (2023). Hemokinin-1 is a mediator of chronic restraint stress-induced pain. Scientific Reports. 13(1). 20030–20030. 3 indexed citations
4.
Hunyady, Agnes I., Viktória Kormos, Ádám Dénes, et al.. (2023). IL-1 Mediates Chronic Stress-Induced Hyperalgesia Accompanied by Microglia and Astroglia Morphological Changes in Pain-Related Brain Regions in Mice. International Journal of Molecular Sciences. 24(6). 5479–5479. 16 indexed citations
5.
Horváth, Ádám, Krisztina Ella, Éva Borbély, et al.. (2023). Lacking ARHGAP25 mitigates the symptoms of autoantibody-induced arthritis in mice. Frontiers in Immunology. 14. 1182278–1182278. 4 indexed citations
6.
Borbély, Éva, Éva Szőke, Péter Urbán, et al.. (2023). Hemokinin-1 induces transcriptomic alterations in pain-related signaling processes in rat primary sensory neurons independent of NK1 tachykinin receptor activation. Frontiers in Molecular Neuroscience. 16. 1186279–1186279. 1 indexed citations
7.
8.
Borbély, Éva, Ferenc Papp, Zoltán Varga, et al.. (2022). Investigation of the Role of the TRPA1 Ion Channel in Conveying the Effect of Dimethyl Trisulfide on Vascular and Histological Changes in Serum-Transfer Arthritis. Pharmaceuticals. 15(6). 671–671. 3 indexed citations
9.
Borbély, Éva, Mária Simon, Eberhard Fuchs, et al.. (2021). Novel drug developmental strategies for treatment‐resistant depression. British Journal of Pharmacology. 179(6). 1146–1186. 67 indexed citations
10.
Szőke, Éva, Rita Börzsei, Junaid Asghar, et al.. (2021). In Silico, In Vitro and In Vivo Pharmacodynamic Characterization of Novel Analgesic Drug Candidate Somatostatin SST4 Receptor Agonists. Frontiers in Pharmacology. 11. 601887–601887. 7 indexed citations
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Conibear, Alexandra E., Junaid Asghar, R. W. Hill, et al.. (2019). A Novel G Protein–Biased Agonist at the δ Opioid Receptor with Analgesic Efficacy in Models of Chronic Pain. Journal of Pharmacology and Experimental Therapeutics. 372(2). 224–236. 48 indexed citations
14.
Tékus, Valéria, Éva Borbély, Tamás Kiss, et al.. (2018). Investigation of Lake Hévíz Mineral Water Balneotherapy and Hévíz Mud Treatment in Murine Osteoarthritis and Rheumatoid Arthritis Models. Evidence-based Complementary and Alternative Medicine. 2018(1). 4816905–4816905. 20 indexed citations
15.
Borbély, Éva, Tamás Kiss, Krisztina Szabadfi, et al.. (2018). Complex Role of Capsaicin-Sensitive Afferents in the Collagen Antibody-Induced Autoimmune Arthritis of the Mouse. Scientific Reports. 8(1). 15916–15916. 13 indexed citations
16.
Horváth, Ádám, Éva Borbély, Kata Bölcskei, et al.. (2018). Regulatory role of capsaicin-sensitive peptidergic sensory nerves in the proteoglycan-induced autoimmune arthritis model of the mouse. Journal of Neuroinflammation. 15(1). 335–335. 8 indexed citations
17.
Borbély, Éva, Katalin Sándor, Adrienn Markovics, et al.. (2016). Role of capsaicin-sensitive nerves and tachykinins in mast cell tryptase-induced inflammation of murine knees. Inflammation Research. 65(9). 725–736. 21 indexed citations
18.
Borbély, Éva, Zsófia Hajna, Bálint Scheich, et al.. (2016). Hemokinin-1 mediates anxiolytic and anti-depressant-like actions in mice. Brain Behavior and Immunity. 59. 219–232. 23 indexed citations
19.
Borbély, Éva, Bálint Botz, Kata Bölcskei, et al.. (2014). Capsaicin-sensitive sensory nerves exert complex regulatory functions in the serum-transfer mouse model of autoimmune arthritis. Brain Behavior and Immunity. 45. 50–59. 48 indexed citations
20.
Helyes, Zsuzsanna, Katalin Sándor, Éva Borbély, et al.. (2009). Involvement of transient receptor potential vanilloid 1 receptors in protease‐activated receptor‐2‐induced joint inflammation and nociception. European Journal of Pain. 14(4). 351–358. 35 indexed citations

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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