Éva Borbély

38 papers receiving 1.0k citations

Peers

Éva Borbély
Comparison fields: 5 of 100
  • Sensory Systems 165
  • Biological Psychiatry 63
  • Behavioral Neuroscience 78
  • Cellular and Molecular Neuroscience 336
  • Anesthesiology and Pain Medicine 64
Replace Yu‐Feng Xie with:
Yu‐Feng Xie Canada
Fani Neto Portugal
Enrique J. Cobos Spain
Ceng Luo China
Dong Kuk Ahn South Korea
Andrea Ebersberger Germany
Junying Du China
Chia‐Chuan Wang Taiwan
Feng Tao United States
Jinlian Li China
Éva Borbély relative to Yu‐Feng Xie Canada Yu‐Feng Xie's profile →
Citations per field
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Yu‐Feng Xie · 1×
Citations per year

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-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.

Border = papers with Éva Borbély Line = papers co-authored together Éva Borbély links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013127
2 201680
3 201380
4 202178
5 201951
6 201451
7 201545
8 201742
9 201737
10
Lyocell, The New Generation of Regenerated Cellulose
200837
11 200936
12 201729
13 201628
14 201325
15 201924
16 201923
17 201623
18 201622
19 201821
20 201921

About Éva Borbély

Éva Borbély is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Sensory Systems and Psychiatry and Mental health, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (17 papers), Pain Mechanisms and Treatments (13 papers), Receptor Mechanisms and Signaling (10 papers), Ion Channels and Receptors (10 papers), Tryptophan and brain disorders (4 papers), Stress Responses and Cortisol (4 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). The work is most often cited by research in Sensory Systems (165 citations), Biological Psychiatry (63 citations), Behavioral Neuroscience (78 citations), Cellular and Molecular Neuroscience (336 citations) and Anesthesiology and Pain Medicine (64 citations). Éva Borbély has collaborated with scholars based in Hungary, United Kingdom and Canada. Frequent co-authors include Zsuzsanna Helyes, Bálint Scheich, Erika Pintér, Janós Szolcsányi, Valéria Tékus, Ágnes Kemény, Bálint Botz, Zsófia Hajna, Ádám Horváth and Agnes I. Hunyady. Their work appears in journals such as Frontiers in Pharmacology, Scientific Reports, Neuropeptides, European Journal of Pain and GeroScience.

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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