Pál Riba
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Physiology top 5%
- Pain Mechanisms and Treatments
Papers in
- Physiology 30
- Pain Mechanisms and Treatments 26
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- Neuropeptides and Animal Physiology 25
- Neuroscience and Neuropharmacology Research 5
- Co-authors
- Valéria Kecskeméti (3 shared papers)György Bagdy (2 shared papers)Rita Jakus (1 shared paper)Susanna Fürst (25 shared papers)Mahmoud Al‐Khrasani (30 shared papers)Kornél Király (24 shared papers)Helmut Schmidhammer (7 shared papers)Mariana Spetea (7 shared papers)
In The Last Decade
Pál Riba
44 papers receiving 951 citations
Peers
Comparison fields: 5 of 91
- Cellular and Molecular Neuroscience 526
- Physiology 330
- Psychiatry and Mental health 180
- Pharmacology 57
- Biological Psychiatry 15
Countries citing papers authored by Pál Riba
This map shows the geographic impact of Pál Riba'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 Pál Riba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pál Riba more than expected).
Fields of papers citing papers by Pál Riba
This network shows the impact of papers produced by Pál Riba. 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 Pál Riba. The network helps show where Pál Riba may publish in the future.
Co-authors
The 25 scholars most cited alongside Pál Riba, 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 | 2006 | 302 | |
| 2 | 2005 | 65 | |
| 3 | 2010 | 41 | |
| 4 | 2002 | 35 | |
| 5 | 2007 | 33 | |
| 6 | 2005 | 32 | |
| 7 | 2003 | 31 | |
| 8 | 2002 | 29 | |
| 9 | 2011 | 29 | |
| 10 | 2018 | 26 | |
| 11 | 2012 | 25 | |
| 12 | 2019 | 22 | |
| 13 | 2012 | 21 | |
| 14 | 2010 | 21 | |
| 15 | 2016 | 20 | |
| 16 | 2020 | 20 | |
| 17 | 2013 | 19 | |
| 18 | 2015 | 17 | |
| 19 | 2006 | 16 | |
| 20 | 2021 | 14 |
About Pál Riba
Pál Riba is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 44 papers that have together received 976 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (26 papers), Neuropeptides and Animal Physiology (25 papers), Pharmacological Receptor Mechanisms and Effects (10 papers), Receptor Mechanisms and Signaling (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Pain Management and Opioid Use (4 papers), Advanced Glycation End Products research (4 papers) and Prenatal Substance Exposure Effects (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (526 citations), Physiology (330 citations), Psychiatry and Mental health (180 citations), Pharmacology (57 citations) and Biological Psychiatry (15 citations). Pál Riba has collaborated with scholars based in Hungary, Austria and Germany. Frequent co-authors include Valéria Kecskeméti, György Bagdy, Rita Jakus, Susanna Fürst, Mahmoud Al‐Khrasani, Kornél Király, Helmut Schmidhammer, Mariana Spetea, Júlia Tímár and Mihály Balogh. Their work appears in journals such as European Journal of Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Current Medicinal Chemistry, Molecules and International Journal of Molecular 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.