Agata Smialowska

1.3k citations
13 papers · 504 indexed · h-index 10
  • Aging top 10%
    • RNA Research and Splicing 6
    • RNA and protein synthesis mechanisms 4
    • RNA modifications and cancer 3
    • Fungal and yeast genetics research 3
    • Genomics and Chromatin Dynamics 3
    • Microbial Metabolic Engineering and Bioproduction 3
    • CRISPR and Genetic Engineering 2
    • Chromosomal and Genetic Variations 2

Agata Smialowska

13 papers receiving 500 citations

Peers

Agata Smialowska
Comparison fields: 5 of 70
  • Aging 28
  • Molecular Biology 420
  • Physiology 81
  • Cell Biology 49
  • Biochemistry 10
Replace Jane E. Leadsham with:
Jane E. Leadsham United Kingdom
Erin M. Bank Israel
Shady Saad Switzerland
Chronis Fatouros Germany
Xinchen Teng United States
Andrew D. Mathis United States
Jemma L. Webber United States
Julia O’Sullivan Canada
Mohammed Mahidur Rahman United States
Takeshi Hasebe Japan
Agata Smialowska relative to Jane E. Leadsham United Kingdom Jane E. Leadsham's profile →
Citations per field
00.5×2.7×
Jane E. Leadsham · 1×
Citations per year

Countries citing papers authored by Agata Smialowska

Since Specialization
Citations

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

Fields of papers citing papers by Agata Smialowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20225
2 20225
3 20219
4 201885
5 201811
6 2017135
7 201617
8 201543
9 201518
10 201414
11 200665
12 200621
13 200276

About Agata Smialowska

Agata Smialowska is a scholar working on Aging, Molecular Biology and Plant Science, having authored 13 papers that have together received 504 indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers), Fungal and yeast genetics research (3 papers), Genomics and Chromatin Dynamics (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), CRISPR and Genetic Engineering (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Aging (28 citations), Molecular Biology (420 citations) and Physiology (81 citations). Agata Smialowska has collaborated with scholars based in Sweden, Germany and Denmark. Frequent co-authors include Jens Nielsen, Petri‐Jaan Lahtvee, Ralf Baumeister, Francesco Gatto, Sergo Kasvandik, Ibrahim E. Elsemman, Benjamín J. Sánchez, Konstantin-Alexander Hossmann, László Oláh and Günter Mies. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and Cell Metabolism.

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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