Pál Riba

44 papers and 902 indexed citations i.

About

Pál Riba is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Pál Riba has authored 44 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Physiology, 27 papers in Cellular and Molecular Neuroscience and 20 papers in Molecular Biology. Recurrent topics in Pál Riba’s work include Pain Mechanisms and Treatments (26 papers), Neuropeptides and Animal Physiology (25 papers) and Pharmacological Receptor Mechanisms and Effects (10 papers). Pál Riba is often cited by papers focused on Pain Mechanisms and Treatments (26 papers), Neuropeptides and Animal Physiology (25 papers) and Pharmacological Receptor Mechanisms and Effects (10 papers). Pál Riba collaborates with scholars based in Hungary, Austria and Germany. Pál Riba's co-authors include Valéria Kecskeméti, György Bagdy, Rita Jakus, Susanna Fürst, Mahmoud Al‐Khrasani, Kornél Király, Helmut Schmidhammer, Mariana Spetea, Júlia Tímár and Nancy M. Lee and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Neurochemistry and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Pál Riba i

Fields of papers citing papers by Pál Riba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Pál Riba

Since Specialization
Citations

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).

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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