Agata Stępień

596 total citations
10 papers, 458 citations indexed

About

Agata Stępień is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Agata Stępień has authored 10 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Plant Science and 3 papers in Cancer Research. Recurrent topics in Agata Stępień's work include RNA Research and Splicing (7 papers), Plant Molecular Biology Research (6 papers) and RNA modifications and cancer (3 papers). Agata Stępień is often cited by papers focused on RNA Research and Splicing (7 papers), Plant Molecular Biology Research (6 papers) and RNA modifications and cancer (3 papers). Agata Stępień collaborates with scholars based in Poland, Netherlands and United Kingdom. Agata Stępień's co-authors include Zofia Szweykowska-Kulińska, Artur Jarmołowski, Katarzyna Knop, Jakub Dolata, Andrzej Pacak, Marcin Rapacz, Dawid Bielewicz, Izabela Sierocka, L. Sobkowiak and Katarzyna Kruszka and has published in prestigious journals such as Nucleic Acids Research, The Plant Cell and Scientific Reports.

In The Last Decade

Agata Stępień

10 papers receiving 457 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Agata Stępień Poland 6 348 276 40 20 15 10 458
Sylwia Alaba Poland 5 418 1.2× 252 0.9× 40 1.0× 23 1.1× 15 1.0× 6 491
Halina Pietrykowska Poland 6 389 1.1× 249 0.9× 42 1.1× 18 0.9× 8 0.5× 8 468
Liuyin Ma China 11 295 0.8× 314 1.1× 36 0.9× 20 1.0× 10 0.7× 23 470
Izabela Sierocka Poland 7 358 1.0× 221 0.8× 36 0.9× 19 0.9× 8 0.5× 11 439
Kuan-Chieh Tseng Taiwan 7 347 1.0× 255 0.9× 16 0.4× 22 1.1× 19 1.3× 8 452
L. Sobkowiak Poland 4 342 1.0× 223 0.8× 25 0.6× 18 0.9× 8 0.5× 8 413
Yanping Long China 15 532 1.5× 486 1.8× 29 0.7× 41 2.0× 21 1.4× 26 804
Katarzyna Kruszka Poland 11 637 1.8× 467 1.7× 63 1.6× 30 1.5× 16 1.1× 22 815
Meeyeon Park United States 7 623 1.8× 522 1.9× 31 0.8× 21 1.1× 12 0.8× 10 738
Jakub Dolata Poland 12 717 2.1× 568 2.1× 76 1.9× 21 1.1× 18 1.2× 22 920

Countries citing papers authored by Agata Stępień

Since Specialization
Citations

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

Fields of papers citing papers by Agata Stępień

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agata Stępień

This figure shows the co-authorship network connecting the top 25 collaborators of Agata Stępień. A scholar is included among the top collaborators of Agata Stępień 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 Agata Stępień. Agata Stępień is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Plewka, Patrycja, et al.. (2024). Novel function of U7 snRNA in the repression of HERV1/LTR12s and lincRNAs in human cells. Nucleic Acids Research. 52(17). 10504–10519. 1 indexed citations
2.
Stępień, Agata, Jakub Dolata, Dawid Bielewicz, et al.. (2022). Chromatin-associated microprocessor assembly is regulated by the U1 snRNP auxiliary protein PRP40. The Plant Cell. 34(12). 4920–4935. 16 indexed citations
3.
Plewka, Patrycja, et al.. (2022). The Novel Role of hnRNP UL1 in Human Cell Nucleoli. International Journal of Biological Sciences. 18(13). 4809–4823. 2 indexed citations
4.
Walczak, Agnieszka, Agata Stępień, Jonas Mechtersheimer, et al.. (2021). ALS-linked FUS mutants affect the localization of U7 snRNP and replication-dependent histone gene expression in human cells. Scientific Reports. 11(1). 11868–11868. 5 indexed citations
5.
Dolata, Jakub, Andrzej Zieleziński, Agata Stępień, et al.. (2020). Quantitative Analysis of Plant miRNA Primary Transcripts. Methods in molecular biology. 2170. 53–77. 3 indexed citations
6.
Stępień, Agata, et al.. (2019). miRNA Detection by Stem-Loop RT-qPCR in Studying microRNA Biogenesis and microRNA Responsiveness to Abiotic Stresses. Methods in molecular biology. 1932. 131–150. 11 indexed citations
7.
Stępień, Agata, Katarzyna Knop, Jakub Dolata, et al.. (2016). Posttranscriptional coordination of splicing andmiRNAbiogenesis in plants. Wiley Interdisciplinary Reviews - RNA. 8(3). 66 indexed citations
8.
Knop, Katarzyna, Agata Stępień, Maria Barciszewska‐Pacak, et al.. (2016). Active 5′ splice sites regulate the biogenesis efficiency of Arabidopsis microRNAs derived from intron-containing genes. Nucleic Acids Research. 45(5). gkw895–gkw895. 46 indexed citations
9.
Zieleziński, Andrzej, Jakub Dolata, Sylwia Alaba, et al.. (2015). mirEX 2.0 - an integrated environment for expression profiling of plant microRNAs. BMC Plant Biology. 15(1). 144–144. 240 indexed citations

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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