Jacek Biesiada

2.6k citations
48 papers · 1.7k · h-index 23

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Extracellular vesicles in disease
    • Circular RNAs in diseases
    • RNA modifications and cancer

Papers in

    • Extracellular vesicles in disease 6
    • Epigenetics and DNA Methylation 5
    • Protein Kinase Regulation and GTPase Signaling 3
    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 3

Jacek Biesiada

46 papers receiving 1.7k citations

Peers

Jacek Biesiada
Comparison fields: 5 of 134
  • Cancer Research 444
  • Molecular Biology 696
  • Obstetrics and Gynecology 67
  • Infectious Diseases 157
  • Sensory Systems 37
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Ying Gao China
Mayank Tandon United States
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Citations per field
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Citations per year

Countries citing papers authored by Jacek Biesiada

Since Specialization
Citations

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

Fields of papers citing papers by Jacek Biesiada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012263
2 2012150
3 2014150
4 2018112
5 201787
6 201980
7 200558
8 201551
9 201250
10 201749
11 201445
12 201545
13 201544
14 201144
15 201831
16 201231
17 201326
18 201726
19 201526
20 202024

About Jacek Biesiada

Jacek Biesiada is a scholar working on Molecular Biology, Cancer Research, Health, Toxicology and Mutagenesis, Surgery and Pediatrics, Perinatology and Child Health, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (6 papers), MicroRNA in disease regulation (6 papers), Epigenetics and DNA Methylation (5 papers), Pregnancy and preeclampsia studies (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cancer-related molecular mechanisms research (3 papers), Physics of Superconductivity and Magnetism (3 papers) and Birth, Development, and Health (3 papers). The work is most often cited by research in Cancer Research (444 citations), Molecular Biology (696 citations), Obstetrics and Gynecology (67 citations), Infectious Diseases (157 citations) and Sensory Systems (37 citations). Jacek Biesiada has collaborated with scholars based in United States, Poland and Australia. Frequent co-authors include Jarek Meller, Jerzy Stanek, Mario Medvedovic, Maria Czyzyk-Krzeska, Xiang Zhang, David R. Plas, Birgit Ehmer, Daniel Hall, Damaris Kuhnell and Scott M. Langevin. Their work appears in journals such as PLoS ONE, Cancer Cell, Toxicological Sciences, Epigenetics and Head & Neck.

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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