Pavel Čabart

20 total papers · 426 total citations
13 papers, 329 citations indexed

About

Pavel Čabart is a scholar working on Molecular Biology, Genetics and Immunology and Allergy. According to data from OpenAlex, Pavel Čabart has authored 13 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Immunology and Allergy. Recurrent topics in Pavel Čabart's work include RNA Research and Splicing (8 papers), Genomics and Chromatin Dynamics (8 papers) and RNA modifications and cancer (4 papers). Pavel Čabart is often cited by papers focused on RNA Research and Splicing (8 papers), Genomics and Chromatin Dynamics (8 papers) and RNA modifications and cancer (4 papers). Pavel Čabart collaborates with scholars based in United States, Czechia and United Kingdom. Pavel Čabart's co-authors include Shona Murphy, Donal S. Luse, Jae Hoon Lee, Ian M. Willis, Ivan Kalousek, Kostya I. Panov, Joost C.B.M. Zomerdijk, J Karsten Friedrich, Jackie Russell and Zbyněk Hrkal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Oncogene.

In The Last Decade

Pavel Čabart

13 papers receiving 325 citations

Author Peers

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

Author Last Decade Papers Cites
Pavel Čabart 301 45 19 18 16 13 329
Maxime Hebrard 172 0.6× 27 0.6× 15 0.8× 15 0.8× 13 0.8× 10 223
Margit Heiske 122 0.4× 50 1.1× 11 0.6× 9 0.5× 15 0.9× 14 214
Michael Saghbini 214 0.7× 48 1.1× 43 2.3× 12 0.7× 39 2.4× 10 272
Diana Aguilar‐Gómez 162 0.5× 67 1.5× 20 1.1× 12 0.7× 31 1.9× 10 240
Kamil Gewartowski 261 0.9× 16 0.4× 13 0.7× 30 1.7× 10 0.6× 8 295
Mark E. Wadsworth 146 0.5× 68 1.5× 15 0.8× 10 0.6× 24 1.5× 9 252
Janine Seyfferth 260 0.9× 26 0.6× 13 0.7× 9 0.5× 29 1.8× 8 298
Amandine Moretton 285 0.9× 41 0.9× 21 1.1× 46 2.6× 26 1.6× 11 319
R. Stefan Isaac 297 1.0× 30 0.7× 46 2.4× 15 0.8× 14 0.9× 8 332
Magali Rompais 217 0.7× 28 0.6× 35 1.8× 12 0.7× 20 1.3× 13 309

Countries citing papers authored by Pavel Čabart

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Čabart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Čabart

This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Čabart. A scholar is included among the top collaborators of Pavel Čabart 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 Pavel Čabart. Pavel Čabart 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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