A Pavlík

46 total papers · 985 total citations
35 papers, 826 citations indexed

About

A Pavlík is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, A Pavlík has authored 35 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 10 papers in Physiology. Recurrent topics in A Pavlík's work include Neuroscience and Neuropharmacology Research (9 papers), Mitochondrial Function and Pathology (6 papers) and Biochemical effects in animals (5 papers). A Pavlík is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Mitochondrial Function and Pathology (6 papers) and Biochemical effects in animals (5 papers). A Pavlík collaborates with scholars based in Czechia, Kuwait and Switzerland. A Pavlík's co-authors include Helena Illnerová, J. Vaněček, Hana S. Suidan, Denis Monard, M Buresová, Simone P. Niclou, R. Vejsada, B Jakoubek, R Jelínek and Eva Reinhard and has published in prestigious journals such as Journal of Clinical Oncology, Brain Research and Neuroscience.

In The Last Decade

A Pavlík

32 papers receiving 781 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
A Pavlík 340 256 187 124 103 35 826
Timothy Goodman 225 0.7× 174 0.7× 294 1.6× 99 0.8× 36 0.3× 18 932
Keith Q. Tanis 117 0.3× 162 0.6× 350 1.9× 186 1.5× 83 0.8× 34 943
Katherine L. Rosewell 288 0.8× 146 0.6× 123 0.7× 107 0.9× 14 0.1× 27 1.0k
Patrocinio Molinero 491 1.4× 215 0.8× 254 1.4× 196 1.6× 12 0.1× 40 930
Linda Y. Johnson 474 1.4× 142 0.6× 77 0.4× 278 2.2× 33 0.3× 34 912
Béatrice Georges 63 0.2× 81 0.3× 242 1.3× 143 1.2× 139 1.3× 25 706
Grzegorz R. Juszczak 60 0.2× 196 0.8× 361 1.9× 209 1.7× 48 0.5× 43 1.0k
Virginia Mela 165 0.5× 135 0.5× 169 0.9× 304 2.5× 13 0.1× 40 987
Mulan He 268 0.8× 171 0.7× 256 1.4× 78 0.6× 21 0.2× 47 938
Telma Quintela 286 0.8× 229 0.9× 226 1.2× 235 1.9× 19 0.2× 45 957

Countries citing papers authored by A Pavlík

Since Specialization
Citations

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

Fields of papers citing papers by A Pavlík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A Pavlík

This figure shows the co-authorship network connecting the top 25 collaborators of A Pavlík. A scholar is included among the top collaborators of A Pavlík based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A Pavlík. A Pavlík is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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