Aleksandra Pękowska

4.2k citations
21 papers · 2.0k indexed · 1 hit paper · h-index 13
    • Genomics and Chromatin Dynamics 13
    • RNA Research and Splicing 6
    • Epigenetics and DNA Methylation 5
    • RNA modifications and cancer 3
    • Chromosomal and Genetic Variations 2
  • Genetics top 10%
    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 2

Aleksandra Pękowska

20 papers receiving 1.9k citations

Hit Papers

Two independent modes of chromatin organization revealed ...7912017202620202023250500750

Peers

Aleksandra Pękowska
Comparison fields: 5 of 106
  • Molecular Biology 1.7k
  • Cancer Research 191
  • Plant Science 383
  • Genetics 271
  • Immunology 187
Replace Daniel S. Day with:
Daniel S. Day United States
Ramya Raviram United States
Hannah K. Long United Kingdom
Arnaud Krebs Switzerland
J. Seth Strattan United States
Sonia Verp Switzerland
Inês de Santiago United Kingdom
Kashyap Dave Finland
Christèle Maison France
Samuel Collombet France
Aleksandra Pękowska relative to Daniel S. Day United States Daniel S. Day's profile →
Citations per field
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Daniel S. Day · 1×
Citations per year

Countries citing papers authored by Aleksandra Pękowska

Since Specialization
Citations

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

Fields of papers citing papers by Aleksandra Pękowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20252
4 20247
5 20248
6 202257
7 202219
8 201953
9 201857
10 201826
11
Two independent modes of chromatin organization revealed by cohesin removalbreakdown →
2017791
12 2017269
13 201542
14 2015212
15 20158
16 2011249
17 20108
18 2010102
19 201015
20 201016

About Aleksandra Pękowska

Aleksandra Pękowska is a scholar working on Molecular Biology, Immunology and Cancer Research, having authored 21 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (13 papers), RNA Research and Splicing (6 papers), Epigenetics and DNA Methylation (5 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers), RNA modifications and cancer (3 papers), Immunotherapy and Immune Responses (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Cancer Research (191 citations) and Plant Science (383 citations). Aleksandra Pękowska has collaborated with scholars based in United States, Poland and France. Frequent co-authors include Wolfgang Huber, Anton Goloborodko, Nuno A. Fonseca, Leonid A. Mirny, Geoffrey Fudenberg, Christian H. Haering, Yann Loe-Mie, Wibke Schwarzer, François Spitz and Nezar Abdennur. Their work appears in journals such as Nature, Cell and The EMBO Journal.

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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2026