Anna Szałkowska

596 total citations
10 papers, 334 citations indexed

About

Anna Szałkowska is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Anna Szałkowska has authored 10 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Anna Szałkowska's work include MicroRNA in disease regulation (5 papers), RNA modifications and cancer (2 papers) and Extracellular vesicles in disease (2 papers). Anna Szałkowska is often cited by papers focused on MicroRNA in disease regulation (5 papers), RNA modifications and cancer (2 papers) and Extracellular vesicles in disease (2 papers). Anna Szałkowska collaborates with scholars based in Poland, United States and Switzerland. Anna Szałkowska's co-authors include Magdalena Niemira, Adam Krętowski, Agnieszka Bielska, Mirosław Kwaśniewski, Joanna Reszeć, Jacek Nikliński, Karolina Chwiałkowska, François Collin, Katarzyna Maliszewska and Łukasz Szczerbiński and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Anna Szałkowska

10 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Szałkowska Poland 8 199 144 90 35 33 10 334
Xiaofen Zhou China 11 188 0.9× 132 0.9× 51 0.6× 11 0.3× 39 1.2× 29 358
Narsa Machireddy United States 6 153 0.8× 95 0.7× 219 2.4× 14 0.4× 40 1.2× 7 363
Jingjing Xu China 11 151 0.8× 101 0.7× 69 0.8× 22 0.6× 87 2.6× 28 358
Aiping Yin China 11 183 0.9× 97 0.7× 60 0.7× 29 0.8× 35 1.1× 26 302
Rongchao Ying China 10 147 0.7× 88 0.6× 49 0.5× 25 0.7× 34 1.0× 22 276
Dongyi Zhu China 9 338 1.7× 332 2.3× 104 1.2× 14 0.4× 45 1.4× 18 507
Jia Gao China 13 178 0.9× 120 0.8× 37 0.4× 9 0.3× 39 1.2× 25 407
Ling Jin China 9 166 0.8× 82 0.6× 32 0.4× 13 0.4× 49 1.5× 26 292
Koji Maruyama Japan 11 93 0.5× 71 0.5× 55 0.6× 18 0.5× 65 2.0× 24 347
Zhaoliang Lu China 12 320 1.6× 211 1.5× 149 1.7× 10 0.3× 77 2.3× 20 502

Countries citing papers authored by Anna Szałkowska

Since Specialization
Citations

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

Fields of papers citing papers by Anna Szałkowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Szałkowska

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Szałkowska. A scholar is included among the top collaborators of Anna Szałkowska 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 Anna Szałkowska. Anna Szałkowska 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.
Niemira, Magdalena, Kamil Grubczak, Anna Szałkowska, et al.. (2022). The short-term and long-term effects of intranasal mesenchymal stem cell administration to noninflamed mice lung. Frontiers in Immunology. 13. 967487–967487. 7 indexed citations
2.
Bielska, Agnieszka, Magdalena Niemira, Witold Bauer, et al.. (2022). Serum miRNA Profile in Diabetic Patients With Ischemic Heart Disease as a Promising Non-Invasive Biomarker. Frontiers in Endocrinology. 13. 888948–888948. 14 indexed citations
3.
Łastowska, Maria, Ewa Matyja, Bartosz Wojtaś, et al.. (2021). Transcriptional profiling of paediatric ependymomas identifies prognostically significant groups. The Journal of Pathology Clinical Research. 7(6). 565–576. 6 indexed citations
4.
Kunc, Michał, Marta Popęda, Anna Szałkowska, et al.. (2020). microRNA Expression Profile in Single Hormone Receptor-Positive Breast Cancers Is Mainly Dependent on HER2 Status—A Pilot Study. Diagnostics. 10(9). 617–617. 8 indexed citations
5.
Sidorkiewicz, Iwona, Magdalena Niemira, Katarzyna Maliszewska, et al.. (2020). Circulating miRNAs as a Predictive Biomarker of the Progression from Prediabetes to Diabetes: Outcomes of a 5-Year Prospective Observational Study. Journal of Clinical Medicine. 9(7). 2184–2184. 39 indexed citations
6.
Łastowska, Maria, Joanna Trubicka, Bartosz Wojtaś, et al.. (2020). Molecular identification of CNS NB-FOXR2, CNS EFT-CIC, CNS HGNET-MN1 and CNS HGNET-BCOR pediatric brain tumors using tumor-specific signature genes. Acta Neuropathologica Communications. 8(1). 105–105. 26 indexed citations
7.
Niemira, Magdalena, Agnieszka Bielska, Anna Szałkowska, et al.. (2020). Evaluation of Transcriptomic Regulations behind Metabolic Syndrome in Obese and Lean Subjects. International Journal of Molecular Sciences. 21(4). 1455–1455. 12 indexed citations
9.
Zbucka-Krętowska, Monika, Magdalena Niemira, Agnieszka Bielska, et al.. (2019). Prenatal circulating microRNA signatures of foetal Down syndrome. Scientific Reports. 9(1). 28 indexed citations
10.
Francuz, Piotr, Anna Szałkowska, & Magdalena Szubielska. (2010). W jaki sposób obraz modyfikuje rozumienie treści telewizyjnych programów informacyjnych. 41–53. 1 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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