Pavel Čabart

427 total citations
13 papers, 331 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 331 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, Ian M. Willis, Jae Hoon Lee, Jackie Russell, Ivan Kalousek, Joost C.B.M. Zomerdijk, J Karsten Friedrich, Kostya I. Panov and Andrea Újvári 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 327 citations

Peers

Pavel Čabart
Comparison fields: 5 of 49
  • Molecular Biology 303
  • Genetics 45
  • Plant Science 19
  • Clinical Biochemistry 18
  • Cancer Research 16
Replace M. Siep with:
M. Siep Netherlands
Sinje Geuer Germany
Kamil Gewartowski Poland
Rosemary C. Dietrich United States
Christeen Ramane J. Pedurupillay Norway
Bernhard Kuhle United States
Tatsuhisa Tsuboi China
Christopher F Mugler Switzerland
Charmaine Havenga United Kingdom
Zongyi Yi China
M. Siep Netherlands View profile →
Citations per field, relative to Pavel Čabart
Pavel Čabart · 1×
Citations per year, relative to Pavel Čabart
Pavel Čabart · 1×

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

13 of 13 papers shown
# Work Indexed citations
1 30
2 20
3 11
4 46
5 45
6 69
7 25
8 12
9 25
10
Early gene expression of both RNA polymerase I transcription factors UBF1 and UBF2 precedes ribosomal RNA synthesis during lymphocyte mitogenic stimulation.
4
11 28
12 14
13
Expression of chromosomal protein HMG-1 in transformed and normal human cells.
2

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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