Marta Urbanska

901 total citations
14 papers, 540 citations indexed

About

Marta Urbanska is a scholar working on Cell Biology, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Marta Urbanska has authored 14 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cell Biology, 8 papers in Biomedical Engineering and 6 papers in Molecular Biology. Recurrent topics in Marta Urbanska's work include Cellular Mechanics and Interactions (9 papers), Microfluidic and Bio-sensing Technologies (6 papers) and 3D Printing in Biomedical Research (4 papers). Marta Urbanska is often cited by papers focused on Cellular Mechanics and Interactions (9 papers), Microfluidic and Bio-sensing Technologies (6 papers) and 3D Printing in Biomedical Research (4 papers). Marta Urbanska collaborates with scholars based in Germany, United Kingdom and China. Marta Urbanska's co-authors include Jochen Guck, Oliver Otto, Hector E. Muñoz, Scott R. Manalis, Dino Di Carlo, Josephine Bagnall, Philipp Rosendahl, Martin Kräter, Anna Taubenberger and Shada Abuhattum and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Development and Nature Methods.

In The Last Decade

Marta Urbanska

14 papers receiving 537 citations

Peers

Marta Urbanska

BIOPH

AMPO

Nicole Töpfner Germany

Kenneth K. Y. Ho United States

Yasaman Nematbakhsh Singapore

Ruchi Goswami Germany

Thorsten Kolb Germany

Hector E. Muñoz United States

Yong Ying United States

Katarzyna Plak Germany

Franziska Wetzel Germany

Monika E. Dolega France

Nicole Töpfner Germany

Marta Urbanska

349 ×1.2

244 ×1.0

77 ×0.6

76 ×0.9

BIOPH

73 ×1.1

AMPO

Citations per year, relative to Marta Urbanska Marta Urbanska (= 1×) peers Nicole Töpfner

Countries citing papers authored by Marta Urbanska

Since Specialization

Citations

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

Fields of papers citing papers by Marta Urbanska

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Urbanska

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

All Works

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14 of 14 papers shown

Urbanska, Marta & Jochen Guck. (2024). Single-Cell Mechanics: Structural Determinants and Functional Relevance. Annual Review of Biophysics. 53(1). 367–395. 16 indexed citations

Nyga, Agata, Katarzyna Plak, Martin Kräter, et al.. (2023). Dynamics of cell rounding during detachment. iScience. 26(5). 106696–106696. 4 indexed citations

Urbanska, Marta, Yan Ge, Maria Winzi, et al.. (2023). De novo identification of universal cell mechanics gene signatures. eLife. 12. 1 indexed citations

Shaebani, M. Reza, Marta Urbanska, Daniel Flormann, et al.. (2022). Effects of vimentin on the migration, search efficiency, and mechanical resilience of dendritic cells. Biophysical Journal. 121(20). 3950–3961. 19 indexed citations

Urbanska, Marta, et al.. (2022). Cytoskeletal vimentin regulates cell size and autophagy through mTORC1 signaling. PLoS Biology. 20(9). e3001737–e3001737. 22 indexed citations

Molinard, Guillaume, Kyoohyun Kim, Marta Urbanska, et al.. (2021). Passive coupling of membrane tension and cell volume during active response of cells to osmosis. Proceedings of the National Academy of Sciences. 118(47). 106 indexed citations

Urbanska, Marta, et al.. (2021). Highly‐Parallel Microfluidics‐Based Force Spectroscopy on Single Cytoskeletal Motors. Small. 17(18). e2007388–e2007388. 6 indexed citations

Urbanska, Marta, Maik Herbig, Martin Kräter, et al.. (2020). Intelligent image-based deformation-assisted cell sorting with molecular specificity. Nature Methods. 17(6). 595–599. 115 indexed citations

Urbanska, Marta, Hector E. Muñoz, Josephine Bagnall, et al.. (2020). A comparison of microfluidic methods for high-throughput cell deformability measurements. Nature Methods. 17(6). 587–593. 188 indexed citations

10.

Herbig, Maik, Ahmad Nawaz, Marta Urbanska, et al.. (2020). Image-based cell sorting using artificial intelligence. 4 indexed citations

11.

Jacobi, Angela, Philipp Rosendahl, Martin Kräter, et al.. (2019). Analysis of Biomechanical Properties of Hematopoietic Stem and Progenitor Cells Using Real-Time Fluorescence and Deformability Cytometry. Methods in molecular biology. 2017. 135–148. 9 indexed citations

12.

Urbanska, Marta, Maria Winzi, Katrin Neumann, et al.. (2018). Single-Cell Mechanical Phenotype is an Intrinsic Marker of Reprogramming and Differentiation along the Neural Lineage. Biophysical Journal. 114(3). 516a–517a. 1 indexed citations

13.

Urbanska, Marta, Philipp Rosendahl, Martin Kräter, & Jochen Guck. (2018). High-throughput single-cell mechanical phenotyping with real-time deformability cytometry. Methods in cell biology. 175–198. 22 indexed citations

14.

Urbanska, Marta, Maria Winzi, Katrin Neumann, et al.. (2017). Single-cell mechanical phenotype is an intrinsic marker of reprogramming and differentiation along the mouse neural lineage. Development. 144(23). 4313–4321. 27 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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