Susanna Fürst

82 papers and 2.0k indexed citations i.

About

Susanna Fürst is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Susanna Fürst has authored 82 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cellular and Molecular Neuroscience, 39 papers in Physiology and 36 papers in Molecular Biology. Recurrent topics in Susanna Fürst’s work include Neuropeptides and Animal Physiology (38 papers), Pain Mechanisms and Treatments (37 papers) and Pharmacological Receptor Mechanisms and Effects (21 papers). Susanna Fürst is often cited by papers focused on Neuropeptides and Animal Physiology (38 papers), Pain Mechanisms and Treatments (37 papers) and Pharmacological Receptor Mechanisms and Effects (21 papers). Susanna Fürst collaborates with scholars based in Hungary, Germany and Austria. Susanna Fürst's co-authors include Valéria Kecskeméti, Pál Pacher, Mahmoud Al‐Khrasani, Péter Illés, Pál Riba, László Köles, Zoltán Ungvári, Sándor Hosztafi, Shaaban A. Mousa and Michael Schäfer and has published in prestigious journals such as Journal of Neuroscience, The FASEB Journal and Journal of Medicinal Chemistry.

In The Last Decade

Co-authorship network of co-authors of Susanna Fürst i

Fields of papers citing papers by Susanna Fürst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Susanna Fürst

Since Specialization
Citations

This map shows the geographic impact of Susanna Fürst'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 Susanna Fürst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanna Fürst 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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2025