Anna Szałkowska

596 citations
10 papers · 334 · h-index 8

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Glioma Diagnosis and Treatment

Papers in

    • Chromatin Remodeling and Cancer 2
    • Extracellular vesicles in disease 2
    • RNA modifications and cancer 2
    • Circular RNAs in diseases 2
    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 2

Anna Szałkowska

10 papers receiving 330 citations

Peers

Anna Szałkowska
Comparison fields: 5 of 76
  • Cancer Research 144
  • Genetics 35
  • Molecular Biology 199
  • Pulmonary and Respiratory Medicine 90
  • Immunology 33
Replace Aiping Yin with:
Aiping Yin China
Behnoush Parviz Germany
Boxing Su China
Mark Schreuder Netherlands
Agnieszka Bielska Poland
Conghui Han China
Narsa Machireddy United States
Zhen Dong China
Anna Szałkowska relative to Aiping Yin China Aiping Yin's profile →
Citations per field
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Aiping Yin · 1×
Citations per year

Countries citing papers authored by Anna Szałkowska

Since Specialization
Citations

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

Fields of papers citing papers by Anna Szałkowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2019193
2 202039
3 201928
4 202026
5 202214
6 202012
7 20208
8 20227
9 20216
10
W jaki sposób obraz modyfikuje rozumienie treści telewizyjnych programów informacyjnych
20101

About Anna Szałkowska

Anna Szałkowska is a scholar working on Molecular Biology, Cancer Research, Genetics, Political Science and International Relations and Pharmacology, having authored 10 papers that have together received 334 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Chromatin Remodeling and Cancer (2 papers), Extracellular vesicles in disease (2 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), Circular RNAs in diseases (2 papers), Glioma Diagnosis and Treatment (2 papers) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Cancer Research (144 citations), Genetics (35 citations), Molecular Biology (199 citations), Pulmonary and Respiratory Medicine (90 citations) and Immunology (33 citations). Anna Szałkowska has collaborated with scholars based in Poland, United States and Switzerland. Frequent co-authors include Magdalena Niemira, Adam Krętowski, Agnieszka Bielska, Mirosław Kwaśniewski, Joanna Reszeć, Karolina Chwiałkowska, François Collin, Jacek Nikliński, Katarzyna Maliszewska and Iwona Sidorkiewicz. Their work appears in journals such as Cancers, Acta Neuropathologica Communications, Frontiers in Endocrinology, Journal of Clinical Medicine and Scientific Reports.

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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