A. Szykowska

687 citations
9 papers · 541 · h-index 8

Impact in

    • Epigenetics and DNA Methylation
    • Histone Deacetylase Inhibitors Research
    • Cancer-related gene regulation
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Protein Degradation and Inhibitors
    • Genomics and Chromatin Dynamics
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Epigenetics and DNA Methylation 7
    • RNA modifications and cancer 4
    • Cancer-related gene regulation 4
    • Histone Deacetylase Inhibitors Research 4
    • RNA Research and Splicing 1
    • Protein Degradation and Inhibitors 1
    • Genomics and Chromatin Dynamics 1

A. Szykowska

9 papers receiving 526 citations

Peers

A. Szykowska
Comparison fields: 5 of 59
  • Molecular Biology 449
  • Cancer Research 53
  • Oncology 61
  • Biological Psychiatry 5
  • Aging 3
Replace Paola Giglio with:
Paola Giglio Italy
Amra Grudic Norway
Xiomaris M. Cotto-Rios United States
Helen M. McRae Australia
Trent B. Hinkle United States
Ki Woon Sung South Korea
Bradley Peter Sweden
Pu Theresa Yan China
Natalie L. Downer Australia
Bosen Xu China
A. Szykowska relative to Paola Giglio Italy Paola Giglio's profile →
Citations per field
00.5×2×2.8×
Paola Giglio · 1×
Citations per year

Countries citing papers authored by A. Szykowska

Since Specialization
Citations

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

Fields of papers citing papers by A. Szykowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2016165
2 2017113
3 201685
4 201270
5 201741
6 201428
7 202117
8 201414
9 20248

About A. Szykowska

A. Szykowska is a scholar working on Molecular Biology, Neurology, Cancer Research, Immunology and Insect Science, having authored 9 papers that have together received 541 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (4 papers), Histone Deacetylase Inhibitors Research (4 papers), RNA Research and Splicing (1 paper), Protein Degradation and Inhibitors (1 paper), Genomics and Chromatin Dynamics (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Molecular Biology (449 citations), Cancer Research (53 citations), Oncology (61 citations), Biological Psychiatry (5 citations) and Aging (3 citations). A. Szykowska has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Anthony Tumber, Christopher John Schofield, Akane Kawamura, Nicola Burgess-Brown, Jan Piwowarski, José Valpuesta, Andrzej Dziembowski, José López Carrascosa, Kamil Gewartowski and Seweryn Mroczek. Their work appears in journals such as Journal of Medicinal Chemistry, Structure, The EMBO Journal, Cell chemical biology and MedChemComm.

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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