Petr Folk

680 citations
28 papers · 526 · h-index 14

Impact in

Papers in

    • RNA Research and Splicing 8
    • Fungal and yeast genetics research 6
    • Genomics and Chromatin Dynamics 5
    • RNA modifications and cancer 5
    • RNA and protein synthesis mechanisms 4
    • Protein Kinase Regulation and GTPase Signaling 3
    • Cellular Mechanics and Interactions 3
    • Microtubule and mitosis dynamics 3

Petr Folk

28 papers receiving 522 citations

Peers

Petr Folk
Comparison fields: 5 of 63
  • Cell Biology 166
  • Immunology and Allergy 45
  • Molecular Biology 362
  • Aging 8
  • Cancer Research 46
Replace Ryoko Maesaki with:
Ryoko Maesaki Japan
Jianglan Liu United States
Simona Denti France
William T. Wong United States
Marcus M. Nalaskowski Germany
Virginia Tajadura Spain
Nathan W. Pierce United States
Anne‐Sophie Macé France
Jennifer A. Benanti United States
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Petr Folk relative to Ryoko Maesaki Japan Ryoko Maesaki's profile →
Citations per field
00.5×1.5×1.8×
Ryoko Maesaki · 1×
Citations per year

Countries citing papers authored by Petr Folk

Since Specialization
Citations

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

Fields of papers citing papers by Petr Folk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Petr Folk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Petr Folk Line = papers co-authored together Petr Folk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200888
2 200466
3 201065
4 201140
5 200831
6 200822
7 200121
8 199619
9 201517
10 200016
11 200716
12 200915
13 200214
14 200213
15
Phospholipid biosynthesis in mature human erythrocytes.
198812
16 20169
17 20169
18 19888
19 20188
20 20177

About Petr Folk

Petr Folk is a scholar working on Molecular Biology, Cell Biology, Genetics, Oncology and Physiology, having authored 28 papers that have together received 526 indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), Fungal and yeast genetics research (6 papers), Genomics and Chromatin Dynamics (5 papers), RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (4 papers), Cellular Mechanics and Interactions (3 papers), Microtubule and mitosis dynamics (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Cell Biology (166 citations), Immunology and Allergy (45 citations), Molecular Biology (362 citations), Aging (8 citations) and Cancer Research (46 citations). Petr Folk has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include František Půta, Michal Skružný, Jan Brábek, Daniel Rösel, Ondřej Tolde, Pavel Veselý, Martin Převorovský, Ondřej Gahura, A Strunecká and Christian Hammann. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications, Cellular and Molecular Life Sciences, Gene and Journal of Cellular Biochemistry.

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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