Éva Sághy
Impact in
- Sensory Systems top 2%
- Ion Channels and Receptors
-
- Neuropeptides and Animal Physiology
- Neurobiology and Insect Physiology Research
Papers in
-
- Neuropeptides and Animal Physiology 6
- Neurobiology and Insect Physiology Research 4
-
- Ion Channels and Receptors 11
- Co-authors
- Éva Szőke (13 shared papers)Zsuzsanna Helyes (17 shared papers)Maja Payrits (12 shared papers)Janós Szolcsányi (4 shared papers)Krisztina Pohóczky (5 shared papers)György Sétáló (4 shared papers)János Erostyák (5 shared papers)Kata Bölcskei (3 shared papers)
In The Last Decade
Éva Sághy
22 papers receiving 548 citations
Peers
Comparison fields: 5 of 80
- Sensory Systems 224
- Cellular and Molecular Neuroscience 131
- Biochemistry 32
- Developmental Neuroscience 21
- Physiology 130
Countries citing papers authored by Éva Sághy
This map shows the geographic impact of Éva Sághy'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 Sághy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éva Sághy more than expected).
Fields of papers citing papers by Éva Sághy
This network shows the impact of papers produced by Éva Sághy. 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 Sághy. The network helps show where Éva Sághy may publish in the future.
Co-authors
The 25 scholars most cited alongside Éva Sághy, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 82 | |
| 2 | 2015 | 52 | |
| 3 | 2017 | 51 | |
| 4 | 2016 | 49 | |
| 5 | 2018 | 44 | |
| 6 | 2016 | 28 | |
| 7 | 2017 | 27 | |
| 8 | 2016 | 26 | |
| 9 | 2018 | 23 | |
| 10 | 2015 | 20 | |
| 11 | 2020 | 20 | |
| 12 | 2020 | 18 | |
| 13 | 2020 | 17 | |
| 14 | 2021 | 15 | |
| 15 | 2020 | 12 | |
| 16 | 2021 | 10 | |
| 17 | 2015 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2021 | 9 |
About Éva Sághy
Éva Sághy is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems, Physiology, Molecular Biology and Organic Chemistry, having authored 23 papers that have together received 548 indexed citations. Recurring topics across this work include Ion Channels and Receptors (11 papers), Neuropeptides and Animal Physiology (6 papers), Pain Mechanisms and Treatments (5 papers), Neurobiology and Insect Physiology Research (4 papers), Peptidase Inhibition and Analysis (2 papers), Synthesis and Biological Evaluation (2 papers), Cardiac Ischemia and Reperfusion (2 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers). The work is most often cited by research in Sensory Systems (224 citations), Cellular and Molecular Neuroscience (131 citations), Biochemistry (32 citations), Developmental Neuroscience (21 citations) and Physiology (130 citations). Éva Sághy has collaborated with scholars based in Hungary, Germany and Poland. Frequent co-authors include Éva Szőke, Zsuzsanna Helyes, Maja Payrits, Janós Szolcsányi, Krisztina Pohóczky, György Sétáló, János Erostyák, Kata Bölcskei, Erika Pintér and Tibor Z. Jánosi. Their work appears in journals such as International Journal of Molecular Sciences, Neuroscience, Frontiers in Pharmacology, Endocrinology and Neuropeptides.
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.