Éva Borbély
Impact in
- Sensory Systems top 5%
- Ion Channels and Receptors
-
- Neuropeptides and Animal Physiology
Papers in
- Physiology 24
- Pain Mechanisms and Treatments 21
- Alzheimer's disease research and treatments 2
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- Neuropeptides and Animal Physiology 12
- Co-authors
- Zsuzsanna Helyes (39 shared papers)Bálint Scheich (8 shared papers)Erika Pintér (21 shared papers)Janós Szolcsányi (13 shared papers)Valéria Tékus (12 shared papers)Ágnes Kemény (8 shared papers)Zsófia Hajna (9 shared papers)Bálint Botz (8 shared papers)
- Journals
- Frontiers in Pharmacology (4 papers)Neuropeptides (3 papers)Scientific Reports (3 papers)GeroScience (3 papers)British Journal of Pharmacology (2 papers)
- Partner nations
- HungaryCanadaUnited Kingdom
In The Last Decade
Éva Borbély
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Sensory Systems 147
- Cellular and Molecular Neuroscience 240
- Biological Psychiatry 20
- Physiology 324
- Complementary and Manual Therapy 23
Countries citing papers authored by Éva Borbély
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
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-authors
The 25 scholars most cited alongside Éva Borbély, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 136 | |
| 2 | 2021 | 89 | |
| 3 | 2013 | 84 | |
| 4 | 2016 | 80 | |
| 5 | 2019 | 55 | |
| 6 | 2014 | 52 | |
| 7 | 2015 | 45 | |
| 8 | 2017 | 45 | |
| 9 | 2009 | 37 | |
| 10 | 2017 | 37 | |
| 11 | 2017 | 30 | |
| 12 | 2016 | 29 | |
| 13 | 2013 | 27 | |
| 14 | 2016 | 26 | |
| 15 | 2019 | 26 | |
| 16 | 2019 | 25 | |
| 17 | 2016 | 24 | |
| 18 | 2019 | 23 | |
| 19 | 2023 | 22 | |
| 20 | 2018 | 21 |
About Éva Borbély
Éva Borbély is a scholar working on Physiology, Cellular and Molecular Neuroscience, Sensory Systems, Rheumatology and Behavioral Neuroscience, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (21 papers), Neuropeptides and Animal Physiology (12 papers), Ion Channels and Receptors (8 papers), Rheumatoid Arthritis Research and Therapies (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Receptor Mechanisms and Signaling (2 papers), Alzheimer's disease research and treatments (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Sensory Systems (147 citations), Cellular and Molecular Neuroscience (240 citations), Biological Psychiatry (20 citations), Physiology (324 citations) and Complementary and Manual Therapy (23 citations). Éva Borbély has collaborated with scholars based in Hungary, Canada and United Kingdom. Frequent co-authors include Zsuzsanna Helyes, Bálint Scheich, Erika Pintér, Janós Szolcsányi, Valéria Tékus, Ágnes Kemény, Zsófia Hajna, Bálint Botz, Ádám István Horváth and Balázs Gaszner. Their work appears in journals such as Frontiers in Pharmacology, Neuropeptides, Scientific Reports, GeroScience and British Journal of 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.