Zsófia Hajna
Impact in
- Sensory Systems top 5%
- Ion Channels and Receptors
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- Pain Management and Treatment
Papers in
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- Ion Channels and Receptors 5
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- Neuropeptides and Animal Physiology 5
- Co-authors
- Zsuzsanna Helyes (15 shared papers)Janós Szolcsányi (8 shared papers)Erika Pintér (13 shared papers)Gábor Pozsgai (4 shared papers)Ágnes Kemény (5 shared papers)Éva Borbély (9 shared papers)Valéria Tékus (7 shared papers)Teréz Bagoly (2 shared papers)
- Journals
- British Journal of Clinical Pharmacology (1 paper)Journal of Molecular Neuroscience (1 paper)Peptides (1 paper)Pain (1 paper)European Journal of Pharmaceutical Sciences (1 paper)
- Partner nations
- HungaryUnited KingdomCanada
In The Last Decade
Zsófia Hajna
16 papers receiving 412 citations
Peers
Comparison fields: 5 of 71
- Sensory Systems 76
- Anesthesiology and Pain Medicine 57
- Cellular and Molecular Neuroscience 121
- Behavioral Neuroscience 22
- Physiology 145
Countries citing papers authored by Zsófia Hajna
This map shows the geographic impact of Zsófia Hajna'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 Hajna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zsófia Hajna more than expected).
Fields of papers citing papers by Zsófia Hajna
This network shows the impact of papers produced by Zsófia Hajna. 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 Hajna. The network helps show where Zsófia Hajna may publish in the future.
Co-authors
The 25 scholars most cited alongside Zsófia Hajna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 84 | |
| 2 | 2012 | 64 | |
| 3 | 2013 | 64 | |
| 4 | 2015 | 45 | |
| 5 | 2016 | 29 | |
| 6 | 2013 | 27 | |
| 7 | 2016 | 26 | |
| 8 | 2019 | 24 | |
| 9 | 2020 | 19 | |
| 10 | 2014 | 10 | |
| 11 | 2016 | 9 | |
| 12 | 2015 | 6 | |
| 13 | 2012 | 5 | |
| 14 | 2022 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 |
About Zsófia Hajna
Zsófia Hajna is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience, Physiology, Biological Psychiatry and Behavioral Neuroscience, having authored 17 papers that have together received 417 indexed citations. Recurring topics across this work include Ion Channels and Receptors (5 papers), Neuropeptides and Animal Physiology (5 papers), Asthma and respiratory diseases (3 papers), Receptor Mechanisms and Signaling (3 papers), Respiratory and Cough-Related Research (2 papers), Pain Mechanisms and Treatments (2 papers), Tryptophan and brain disorders (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Sensory Systems (76 citations), Anesthesiology and Pain Medicine (57 citations), Cellular and Molecular Neuroscience (121 citations), Behavioral Neuroscience (22 citations) and Physiology (145 citations). Zsófia Hajna has collaborated with scholars based in Hungary, United Kingdom and Canada. Frequent co-authors include Zsuzsanna Helyes, Janós Szolcsányi, Erika Pintér, Gábor Pozsgai, Ágnes Kemény, Éva Borbély, Valéria Tékus, Teréz Bagoly, Andreas Göebel and Bálint Scheich. Their work appears in journals such as British Journal of Clinical Pharmacology, Journal of Molecular Neuroscience, Peptides, Pain and European Journal of Pharmaceutical Sciences.
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.