Elżbieta Kierzek

2.5k citations
67 papers · 2.0k indexed · h-index 26

Elżbieta Kierzek

66 papers receiving 2.0k citations

Peers

Elżbieta Kierzek
Comparison fields: 5 of 84
  • Molecular Biology 1.8k
  • Cardiology and Cardiovascular Medicine 226
  • Cancer Research 148
  • Epidemiology 271
  • Immunology 134
Replace Peter J. Lukavsky with:
Peter J. Lukavsky United Kingdom
Mikhail K. Levin United States
Franck Martin France
Leoš Shivaya Valášek Czechia
Joanna Zuberek Poland
Gregory P. McNerney United States
Alexey Petrov United States
Steven L. Alam United States
Alexey A. Malygin Russia
Andrey V. Pisarev United States
Elżbieta Kierzek relative to Peter J. Lukavsky United Kingdom Peter J. Lukavsky's profile →
Citations per field
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Peter J. Lukavsky · 1×
Citations per year

Countries citing papers authored by Elżbieta Kierzek

Since Specialization
Citations

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

Fields of papers citing papers by Elżbieta Kierzek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 202317
4 202311
5 20223
6 202241
7 20223
8 20227
9 20224
10 202110
11 20214
12 20204
13 202020
14 202010
15 202018
16 201946
17 2010101
18 200942
19
Mikromacierze izoenergetyczne, nowa metoda badania struktury RNA
20081
20 200217

About Elżbieta Kierzek

Elżbieta Kierzek is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (60 papers), RNA modifications and cancer (20 papers), RNA Research and Splicing (18 papers), DNA and Nucleic Acid Chemistry (17 papers), Viral Infections and Immunology Research (16 papers), Influenza Virus Research Studies (15 papers), interferon and immune responses (7 papers) and Advanced biosensing and bioanalysis techniques (6 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Cardiology and Cardiovascular Medicine (226 citations) and Cancer Research (148 citations). Elżbieta Kierzek has collaborated with scholars based in Poland, United States and Singapore. Frequent co-authors include Ryszard Kierzek, Douglas H. Turner, Walter N. Moss, Zofia Gdaniec, Philip C. Bevilacqua, David J. Proctor, Jolanta Lisowiec‐Wąchnicka, Martin Gruebele, Hairong Ma and Ilyas Yildirim. Their work appears in journals such as Biochemistry, Nucleic Acids Research, PLoS ONE, Scientific Reports 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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