Maja Payrits

20 papers and 445 indexed citations
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About

Maja Payrits is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Maja Payrits has authored 20 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Sensory Systems, 10 papers in Cellular and Molecular Neuroscience and 9 papers in Physiology. Recurrent topics in Maja Payrits’s work include Ion Channels and Receptors (15 papers), Pain Mechanisms and Treatments (8 papers) and Neurobiology and Insect Physiology Research (5 papers). Maja Payrits is often cited by papers focused on Ion Channels and Receptors (15 papers), Pain Mechanisms and Treatments (8 papers) and Neurobiology and Insect Physiology Research (5 papers). Maja Payrits collaborates with scholars based in Hungary, United Kingdom and Canada. Maja Payrits's co-authors include Éva Szőke, Éva Sághy, Zsuzsanna Helyes, Janós Szolcsányi, János Erostyák, Erika Pintér, György Sétáló, Krisztina Pohóczky, Tibor Z. Jánosi and Rita Börzsei and has published in prestigious journals such as Endocrinology, Neuroscience and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Maja Payrits

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Payrits. A scholar is included among the top collaborators of Maja Payrits based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maja Payrits. Maja Payrits is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Maja Payrits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maja Payrits. 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 Maja Payrits. The network helps show where Maja Payrits may publish in the future.

Countries citing papers authored by Maja Payrits

Since Specialization
Citations

This map shows the geographic impact of Maja Payrits'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 Maja Payrits with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Payrits 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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