Gáspár Pándy‐Szekeres

11 papers and 853 indexed citations i.

About

Gáspár Pándy‐Szekeres is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Gáspár Pándy‐Szekeres has authored 11 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Computational Theory and Mathematics. Recurrent topics in Gáspár Pándy‐Szekeres’s work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (6 papers) and Computational Drug Discovery Methods (4 papers). Gáspár Pándy‐Szekeres is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (6 papers) and Computational Drug Discovery Methods (4 papers). Gáspár Pándy‐Szekeres collaborates with scholars based in Denmark, Hungary and United States. Gáspár Pándy‐Szekeres's co-authors include David E. Gloriam, Christian Munk, Stefan Mordalski, Albert J. Kooistra, György M. Keserű, Alexander S. Hauser, Andrzej J. Bojarski, Kasper Harpsøe, Mauricio Esguerra and Jimmy Caroli and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Gáspár Pándy‐Szekeres i

Fields of papers citing papers by Gáspár Pándy‐Szekeres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gáspár Pándy‐Szekeres. 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 Gáspár Pándy‐Szekeres. The network helps show where Gáspár Pándy‐Szekeres may publish in the future.

Countries citing papers authored by Gáspár Pándy‐Szekeres

Since Specialization
Citations

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