Beata Styp‐Rekowska

969 citations
19 papers · 792 · h-index 16

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 9
    • Congenital heart defects research 4
    • Ubiquitin and proteasome pathways 1
    • Ion Transport and Channel Regulation 1
    • Platelet Disorders and Treatments 3

Beata Styp‐Rekowska

19 papers receiving 778 citations

Peers

Beata Styp‐Rekowska
Comparison fields: 5 of 99
  • Cancer Research 114
  • Pulmonary and Respiratory Medicine 198
  • Fluid Flow and Transfer Processes 42
  • Cell Biology 102
  • Molecular Biology 362
Replace Natalia Maldonado with:
Natalia Maldonado United States
Bianca C.W. Groenendijk Netherlands
Rob E. Poelmann Netherlands
Maria Rita Cozzi Italy
Олег Ким United States
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Akira Suzuki Japan
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Citations per field
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Citations per year

Countries citing papers authored by Beata Styp‐Rekowska

Since Specialization
Citations

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

Fields of papers citing papers by Beata Styp‐Rekowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beata Styp‐Rekowska. 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 Beata Styp‐Rekowska. The network helps show where Beata Styp‐Rekowska may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2010157
2 2007127
3 201167
4 201356
5 201753
6 201648
7 201643
8 201136
9 201434
10 201333
11 200730
12 201721
13 201220
14 201018
15 201418
16 201417
17 20098
18 20145
19
Adhesion-induced eosinophil cytolysis requires the RIPK3-MLKL signaling pathway which is counter-regulated by autophagy.
20171

About Beata Styp‐Rekowska

Beata Styp‐Rekowska is a scholar working on Molecular Biology, Hematology, Cellular and Molecular Neuroscience, Surgery and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 792 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (9 papers), Congenital heart defects research (4 papers), Axon Guidance and Neuronal Signaling (3 papers), Platelet Disorders and Treatments (3 papers), Eosinophilic Disorders and Syndromes (2 papers), Ubiquitin and proteasome pathways (1 paper), Ion Transport and Channel Regulation (1 paper) and Aquatic life and conservation (1 paper). The work is most often cited by research in Cancer Research (114 citations), Pulmonary and Respiratory Medicine (198 citations), Fluid Flow and Transfer Processes (42 citations), Cell Biology (102 citations) and Molecular Biology (362 citations). Beata Styp‐Rekowska has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Axel R. Pries, Valentin Djonov, Timothy W. Secomb, Ruslan Hlushchuk, Andrew N. Makanya, Ivanka Dimova, Ferdinand le Noble, Lena Ulm, Yu Shi and Daniel Henrion. Their work appears in journals such as PLoS ONE, Arteriosclerosis Thrombosis and Vascular Biology, Journal of the American Society of Nephrology, Oncogene and Oncotarget.

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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