Magdolna Pákáski

96 papers and 2.0k indexed citations i.

About

Magdolna Pákáski is a scholar working on Physiology, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Magdolna Pákáski has authored 96 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Physiology, 20 papers in Molecular Biology and 20 papers in Psychiatry and Mental health. Recurrent topics in Magdolna Pákáski’s work include Alzheimer's disease research and treatments (33 papers), Dementia and Cognitive Impairment Research (19 papers) and Cholinesterase and Neurodegenerative Diseases (17 papers). Magdolna Pákáski is often cited by papers focused on Alzheimer's disease research and treatments (33 papers), Dementia and Cognitive Impairment Research (19 papers) and Cholinesterase and Neurodegenerative Diseases (17 papers). Magdolna Pákáski collaborates with scholars based in Hungary, United States and Slovakia. Magdolna Pákáski's co-authors include János Kálmán, János Kálmán, P. Kása, Ildikó Hoffmann, Veronika Vincze, Zoltán Janka, Gréta Szatlóczki, Gábor Gosztolya, László Tóth and Anna Juhász and has published in prestigious journals such as PLoS ONE, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Magdolna Pákáski i

Fields of papers citing papers by Magdolna Pákáski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Magdolna Pákáski

Since Specialization
Citations

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