Edina Szűcs

36 papers and 327 indexed citations i.

About

Edina Szűcs is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Edina Szűcs has authored 36 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cellular and Molecular Neuroscience, 17 papers in Molecular Biology and 10 papers in Physiology. Recurrent topics in Edina Szűcs’s work include Neuropeptides and Animal Physiology (18 papers), Receptor Mechanisms and Signaling (12 papers) and Pain Mechanisms and Treatments (7 papers). Edina Szűcs is often cited by papers focused on Neuropeptides and Animal Physiology (18 papers), Receptor Mechanisms and Signaling (12 papers) and Pain Mechanisms and Treatments (7 papers). Edina Szűcs collaborates with scholars based in Hungary, Italy and Poland. Edina Szűcs's co-authors include Sándor Benyhe, Gabriella Kékesi, Gyöngyi Horváth, Ferenc Zádor, Csaba Tömböly, Szabolcs Dvorácskó, László Vécsei, Gábor Nagy-Grócz, Azzurra Stefanucci and Adriano Mollica and has published in prestigious journals such as Brain Research, Scientific Reports and Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Edina Szűcs i

Fields of papers citing papers by Edina Szűcs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Edina Szűcs

Since Specialization
Citations

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