Urszula Czerwińska

573 total citations
12 papers, 362 citations indexed

About

Urszula Czerwińska is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Immunology. According to data from OpenAlex, Urszula Czerwińska has authored 12 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Endocrine and Autonomic Systems and 2 papers in Immunology. Recurrent topics in Urszula Czerwińska's work include Single-cell and spatial transcriptomics (4 papers), Bioinformatics and Genomic Networks (3 papers) and Gene expression and cancer classification (3 papers). Urszula Czerwińska is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Bioinformatics and Genomic Networks (3 papers) and Gene expression and cancer classification (3 papers). Urszula Czerwińska collaborates with scholars based in France, Luxembourg and Kazakhstan. Urszula Czerwińska's co-authors include Andreï Zinovyev, Emmanuel Barillot, Sebastián Amigorena, Vassili Soumelis, Fabien Reyal, Maude Guillot‐Delost, Philémon Sirven, Anne Vincent‐Salomon, Floriane Noël and Alix Scholer‐Dahirel and has published in prestigious journals such as Nature Communications, Nature Immunology and International Journal of Molecular Sciences.

In The Last Decade

Urszula Czerwińska

11 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Urszula Czerwińska France 8 153 147 139 41 24 12 362
Parisa Shooshtari Canada 9 79 0.5× 156 1.1× 28 0.2× 26 0.6× 13 0.5× 20 305
Joseph W. Carl United States 9 145 0.9× 86 0.6× 58 0.4× 27 0.7× 6 0.3× 20 310
Nianci Wang United States 8 225 1.5× 88 0.6× 108 0.8× 11 0.3× 15 0.6× 9 474
Zhengjun Gao China 8 107 0.7× 127 0.9× 28 0.2× 31 0.8× 13 0.5× 10 303
Holger Sueltmann Germany 8 53 0.3× 208 1.4× 61 0.4× 35 0.9× 29 1.2× 8 332
Syed Murtuza Baker United Kingdom 14 167 1.1× 282 1.9× 76 0.5× 27 0.7× 25 1.0× 28 525
Wing‐Cheong Wong Singapore 14 202 1.3× 246 1.7× 111 0.8× 46 1.1× 11 0.5× 19 491
Shaocong Mo China 10 61 0.4× 71 0.5× 56 0.4× 17 0.4× 21 0.9× 29 230
Max Schelker Germany 7 73 0.5× 318 2.2× 81 0.6× 70 1.7× 25 1.0× 7 450
Lingxi Chen China 10 43 0.3× 161 1.1× 39 0.3× 72 1.8× 23 1.0× 43 337

Countries citing papers authored by Urszula Czerwińska

Since Specialization
Citations

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

Fields of papers citing papers by Urszula Czerwińska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Urszula Czerwińska

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

All Works

12 of 12 papers shown
1.
Zinovyev, Andreï, Urszula Czerwińska, Laura Cantini, et al.. (2020). Collective intelligence defines biological functions in Wikipedia as communities in the hidden protein connection network. PLoS Computational Biology. 16(2). e1007652–e1007652. 2 indexed citations
2.
Kondratova, Maria, Urszula Czerwińska, Nicolas Sompairac, et al.. (2019). A multiscale signalling network map of innate immune response in cancer reveals cell heterogeneity signatures. Nature Communications. 10(1). 4808–4808. 39 indexed citations
3.
Nazarov, Petr V., Anke Wienecke-Baldacchino, Andreï Zinovyev, et al.. (2019). Deconvolution of transcriptomes and miRNomes by independent component analysis provides insights into biological processes and clinical outcomes of melanoma patients. BMC Medical Genomics. 12(1). 132–132. 16 indexed citations
4.
Sompairac, Nicolas, Petr V. Nazarov, Urszula Czerwińska, et al.. (2019). Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets. International Journal of Molecular Sciences. 20(18). 4414–4414. 49 indexed citations
5.
Michea, Paula, Floriane Noël, Ève Zakine, et al.. (2018). Adjustment of dendritic cells to the breast-cancer microenvironment is subset specific. Nature Immunology. 19(8). 885–897. 162 indexed citations
6.
Bost, Pierre, Isabelle Casadémont, Veasna Duong, et al.. (2018). A Blood RNA Signature Detecting Severe Disease in Young Dengue Patients at Hospital Arrival. The Journal of Infectious Diseases. 217(11). 1690–1698. 18 indexed citations
7.
Czerwińska, Urszula. (2018). UrszulaCzerwinska/DeconICA: DeconICA first release. Zenodo (CERN European Organization for Nuclear Research).
8.
Naldi, Aurélien, Romain M. Larive, Urszula Czerwińska, et al.. (2017). Reconstruction and signal propagation analysis of the Syk signaling network in breast cancer cells. PLoS Computational Biology. 13(3). e1005432–e1005432. 13 indexed citations
9.
Kairov, Ulykbek, Laura Cantini, Alessandro Greco, et al.. (2017). Determining the optimal number of independent components for reproducible transcriptomic data analysis. BMC Genomics. 18(1). 712–712. 43 indexed citations
10.
Czerwińska, Urszula, Laurence Calzone, Emmanuel Barillot, & Andreï Zinovyev. (2015). DeDaL: Cytoscape 3 app for producing and morphing data-driven and structure-driven network layouts. BMC Systems Biology. 9(1). 46–46. 13 indexed citations
11.
Czerwińska, Urszula, et al.. (1974). The effect of nicotinamide on the experimental asthma in guinea pigs.. PubMed. 24(6). 887–9. 3 indexed citations
12.
Czerwińska, Urszula, et al.. (1973). The influence of nicotinamide on the course of experimental bronchial asthma in guinea pig. Inflammation Research. 3(3). 176–176. 4 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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