Pál Pacher

388 papers and 42.7k indexed citations i.

About

Pál Pacher is a scholar working on Pharmacology, Molecular Biology and Physiology. According to data from OpenAlex, Pál Pacher has authored 388 papers receiving a total of 42.7k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Pharmacology, 100 papers in Molecular Biology and 68 papers in Physiology. Recurrent topics in Pál Pacher’s work include Cannabis and Cannabinoid Research (95 papers), Adenosine and Purinergic Signaling (53 papers) and Diet, Metabolism, and Disease (44 papers). Pál Pacher is often cited by papers focused on Cannabis and Cannabinoid Research (95 papers), Adenosine and Purinergic Signaling (53 papers) and Diet, Metabolism, and Disease (44 papers). Pál Pacher collaborates with scholars based in United States, Hungary and Switzerland. Pál Pacher's co-authors include Lucas Liaudet, György Haskó, Joseph S. Beckman, Sándor Bátkai, George Kunos, Csaba Szabó, Partha Mukhopadhyay, Mohanraj Rajesh, Jon G. Mabley and Luca Antonioli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

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

Fields of papers citing papers by Pál Pacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pál Pacher

Since Specialization
Citations

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