Aleksandra Pękowska

4.2k citations
21 papers · 2.0k indexed · 1 hit paper · h-index 13
Topics
Genomics and Chromatin Dynamics (13 papers)RNA Research and Splicing (6 papers)Epigenetics and DNA Methylation (5 papers)

In The Last Decade

Aleksandra Pękowska

20 papers receiving 1.9k citations

Hit Papers

Two independent modes of chromatin organization revealed ...20172026202020232017250500750

Peers

Aleksandra Pękowska
Comparison fields: 5 of 106
  • Molecular Biology 1.7k
  • Plant Science 383
  • Genetics 271
  • Cancer Research 191
  • 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
00.5×1.5×
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 of co-authors of Aleksandra Pękowska

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksandra Pękowska. A scholar is included among the top collaborators of Aleksandra Pękowska based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aleksandra Pękowska. Aleksandra Pękowska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 7
5 8
6 57
7 19
8 53
9 57
10 26
11
Two independent modes of chromatin organization revealed by cohesin removalbreakdown →
791
12 269
13 42
14 212
15 8
16 249
17 8
18 102
19 15
20 16

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) and Epigenetics and DNA Methylation (5 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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