Paweł S. Krawczyk

1.7k citations
28 papers · 1.0k indexed · 1 hit paper · h-index 15
  • Pollution top 5%
    • RNA Research and Splicing 13
    • RNA modifications and cancer 10
    • RNA and protein synthesis mechanisms 9
    • CRISPR and Genetic Engineering 3
    • RNA regulation and disease 2
  • Ecology top 10%
    • Bacteriophages and microbial interactions 2
    • Bacterial Genetics and Biotechnology 3
    • Virus-based gene therapy research 2

Paweł S. Krawczyk

27 papers receiving 1.0k citations

Hit Papers

PlasFlow: predicting plasmid sequences in metagenomic dat...3962017202620202023100200300

Peers

Paweł S. Krawczyk
Comparison fields: 5 of 99
  • Molecular Medicine 148
  • Pollution 192
  • Molecular Biology 653
  • Ecology 220
  • Endocrinology 40
Replace Leszek Lipiński with:
Leszek Lipiński Poland
Ajaya Kumar Rout India
Beatriz S. Méndez Argentina
Łukasz Paukszto Poland
Valter A. Baura Brazil
Naoto Urano Japan
Rashi Gupta India
Suzan Yilmaz United States
Yu Jing Zhang China
Xuehua Wan United States
Paweł S. Krawczyk relative to Leszek Lipiński Poland Leszek Lipiński's profile →
Citations per field
00.5×1.5×1.8×
Leszek Lipiński · 1×
Citations per year

Countries citing papers authored by Paweł S. Krawczyk

Since Specialization
Citations

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

Fields of papers citing papers by Paweł S. Krawczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paweł S. Krawczyk. 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 Paweł S. Krawczyk. The network helps show where Paweł S. Krawczyk may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Paweł S. Krawczyk, 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 Paweł S. Krawczyk Line = papers co-authored together Paweł S. Krawczyk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20253
4 20241
5 20246
6 20247
7 20233
8 202140
9 202127
10 202136
11 20191
12 201830
13 201831
14 201748
15 201721
16 201672
17 201650
18 20142
19 201171
20 20111

About Paweł S. Krawczyk

Paweł S. Krawczyk is a scholar working on Aging, Molecular Biology and Environmental Chemistry, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (13 papers), RNA modifications and cancer (10 papers), RNA and protein synthesis mechanisms (9 papers), CRISPR and Genetic Engineering (3 papers), Bacterial Genetics and Biotechnology (3 papers), Virus-based gene therapy research (2 papers), Bacteriophages and microbial interactions (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Molecular Medicine (148 citations), Pollution (192 citations) and Molecular Biology (653 citations). Paweł S. Krawczyk has collaborated with scholars based in Poland, Denmark and Spain. Frequent co-authors include Andrzej Dziembowski, Leszek Lipiński, Zbigniew Warkocki, Seweryn Mroczek, Dorota Adamska, Łukasz Drewniak, Rafał Tomecki, Adam Sobczak, A. Urbańska and Małgorzata Perycz. Their work appears in journals such as Cell, Nucleic Acids Research and Nature Communications.

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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