Maria Winzi

1.4k total citations
13 papers, 359 citations indexed

About

Maria Winzi is a scholar working on Molecular Biology, Cell Biology and Biomedical Engineering. According to data from OpenAlex, Maria Winzi has authored 13 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Biomedical Engineering. Recurrent topics in Maria Winzi's work include Pluripotent Stem Cells Research (8 papers), Cellular Mechanics and Interactions (4 papers) and 3D Printing in Biomedical Research (3 papers). Maria Winzi is often cited by papers focused on Pluripotent Stem Cells Research (8 papers), Cellular Mechanics and Interactions (4 papers) and 3D Printing in Biomedical Research (3 papers). Maria Winzi collaborates with scholars based in Germany, Denmark and United Kingdom. Maria Winzi's co-authors include Palle Serup, Jochen Guck, Philipp Rosendahl, C. Herold, Yan Ge, Buzz Baum, Katarzyna Plak, Katrin Wagner, Maik Herbig and Angela Jacobi and has published in prestigious journals such as The EMBO Journal, PLoS ONE and Development.

In The Last Decade

Maria Winzi

13 papers receiving 359 citations

Peers

Maria Winzi
Peter Shyu United States
Hailey E. Brighton United States
Alexandra Surcel United States
Kayla F. Goliwas United States
Joshua D. Greenlee United States
Peter Shyu United States
Maria Winzi
Citations per year, relative to Maria Winzi Maria Winzi (= 1×) peers Peter Shyu

Countries citing papers authored by Maria Winzi

Since Specialization
Citations

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

Fields of papers citing papers by Maria Winzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Winzi

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

All Works

13 of 13 papers shown
1.
Urbanska, Marta, Yan Ge, Maria Winzi, et al.. (2023). De novo identification of universal cell mechanics gene signatures. eLife. 12. 1 indexed citations
2.
Mayer, Daniela, Michael Stadler, Daniel Heß, et al.. (2019). Zfp281 orchestrates interconversion of pluripotent states by engaging Ehmt1 and Zic2. The EMBO Journal. 39(2). e102591–e102591. 20 indexed citations
3.
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
4.
Rosendahl, Philipp, Katarzyna Plak, Angela Jacobi, et al.. (2018). Real-time fluorescence and deformability cytometry. Nature Methods. 15(5). 355–358. 121 indexed citations
5.
Winzi, Maria, Núria Casas-Vila, Maciej Paszkowski‐Rogacz, et al.. (2018). The long noncoding RNA lncR492 inhibits neural differentiation of murine embryonic stem cells. PLoS ONE. 13(1). e0191682–e0191682. 15 indexed citations
6.
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
7.
Bartel, Karin, Maria Winzi, Melanie Ulrich, et al.. (2016). V-ATPase inhibition increases cancer cell stiffness and blocks membrane related Ras signaling - a new option for HCC therapy. Oncotarget. 8(6). 9476–9487. 36 indexed citations
8.
Herberg, Maria, Ingmar Glauche, Thomas Zerjatke, et al.. (2016). Dissecting mechanisms of mouse embryonic stem cells heterogeneity through a model-based analysis of transcription factor dynamics. Journal of The Royal Society Interface. 13(117). 20160167–20160167. 14 indexed citations
9.
Ding, Li, Maciej Paszkowski‐Rogacz, Maria Winzi, et al.. (2015). Systems Analyses Reveal Shared and Diverse Attributes of Oct4 Regulation in Pluripotent Cells. Cell Systems. 1(2). 141–151. 15 indexed citations
10.
Otto, Oliver, Philipp Rosendahl, Stefan Golfier, et al.. (2015). Real-time deformability cytometry as a label-free indicator of cell function. PubMed. 2015. 1861–1864. 9 indexed citations
11.
Winzi, Maria, Poul Hyttel, J. Kim Dale, & Palle Serup. (2011). Isolation and Characterization of Node/Notochord-Like Cells from Mouse Embryonic Stem Cells. Stem Cells and Development. 20(11). 1817–1827. 19 indexed citations
12.
Kalisz, Mark, Maria Winzi, Hanne Cathrine Bisgaard, & Palle Serup. (2011). EVEN-SKIPPED HOMEOBOX 1 controls human ES cell differentiation by directly repressing GOOSECOID expression. Developmental Biology. 362(1). 94–103. 22 indexed citations
13.
Hansson, Mattias, et al.. (2009). A late requirement for Wnt and FGF signaling during activin-induced formation of foregut endoderm from mouse embryonic stem cells. Developmental Biology. 330(2). 286–304. 59 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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