Pavel Kovarik

7.2k citations
71 papers · 5.9k indexed · 1 hit paper · h-index 37
Topics
Cytokine Signaling Pathways and Interactions (28 papers)Immune Response and Inflammation (19 papers)RNA Research and Splicing (18 papers)

In The Last Decade

Pavel Kovarik

69 papers receiving 5.8k citations

Hit Papers

Serine phosphorylation of STATs20002026200820172000200400600

Peers

Pavel Kovarik
Comparison fields: 5 of 113
  • Immunology 3.0k
  • Oncology 2.5k
  • Molecular Biology 2.4k
  • Cancer Research 810
  • Epidemiology 644
Replace Neil C. Rogers with:
Neil C. Rogers United Kingdom
Ben A. Croker United States
Kathleen C. F. Sheehan United States
Michael David United States
Tadaaki Miyazaki Japan
Richard Pine United States
Kenji Kishihara Japan
Jörg Mages Germany
Susanne J. Szabo United States
D S Finbloom United States
Pavel Kovarik relative to Neil C. Rogers United Kingdom Neil C. Rogers's profile →
Citations per field
00.5×1.5×
Neil C. Rogers · 1×
Citations per year

Countries citing papers authored by Pavel Kovarik

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Kovarik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Kovarik

This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Kovarik. A scholar is included among the top collaborators of Pavel Kovarik 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 Kovarik. Pavel Kovarik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 0
3 2
4 4
5 15
6 75
7 27
8 72
9 36
10 35
11 43
12 20
13 86
14 112
15 121
16 111
17 301
18 176
19 206
20 40

About Pavel Kovarik

Pavel Kovarik is a scholar working on Immunology, Oncology and Cancer Research, having authored 71 papers that have together received 5.9k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (28 papers), Immune Response and Inflammation (19 papers) and RNA Research and Splicing (18 papers). The work is most often cited by research in Immunology (3.0k citations), Oncology (2.5k citations) and Cancer Research (810 citations). Pavel Kovarik has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Thomas Decker, Mathias Müller, Marina Karaghiosoff, Andreas Meinke, Dagmar Stoiber, Vitaly Sedlyarov, Silvia Stockinger, Nina Gratz, Peter Steinlein and S. Cohney. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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