Silvia Grigolon

549 total citations
11 papers, 320 citations indexed

About

Silvia Grigolon is a scholar working on Molecular Biology, Cell Biology and Condensed Matter Physics. According to data from OpenAlex, Silvia Grigolon has authored 11 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Condensed Matter Physics. Recurrent topics in Silvia Grigolon's work include Cellular Mechanics and Interactions (5 papers), Gene Regulatory Network Analysis (3 papers) and Micro and Nano Robotics (3 papers). Silvia Grigolon is often cited by papers focused on Cellular Mechanics and Interactions (5 papers), Gene Regulatory Network Analysis (3 papers) and Micro and Nano Robotics (3 papers). Silvia Grigolon collaborates with scholars based in United Kingdom, France and Austria. Silvia Grigolon's co-authors include Guillaume Salbreux, Carl‐Philipp Heisenberg, Nicoletta I. Petridou, Édouard Hannezo, Carla Bosia, Hitoshi Morita, Gabriel Krens, Shayan Shamipour, Verena Ruprecht and Stefano Bo and has published in prestigious journals such as Nature Cell Biology, Scientific Reports and Developmental Cell.

In The Last Decade

Silvia Grigolon

11 papers receiving 319 citations

Peers

Silvia Grigolon

CB

MB

BE

CMP

CR

Victoria E. Deneke United States

Gregor Mönke Germany

Rukshala Illukkumbura United Kingdom

Scott Curran United Kingdom

Adriana E. Golding United States

Zoltán Spiró Hungary

Mark Zajac United States

Naoya Hino Japan

Cédric J. Cattin Switzerland

Shayan Shamipour Austria

Victoria E. Deneke United States

Silvia Grigolon

173 ×0.8

CB

330 ×2.1

MB

41 ×0.5

BE

28 ×0.9

CMP

16 ×0.8

CR

Citations per year, relative to Silvia Grigolon Silvia Grigolon (= 1×) peers Victoria E. Deneke

Countries citing papers authored by Silvia Grigolon

Since Specialization

Citations

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

Fields of papers citing papers by Silvia Grigolon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Grigolon

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

All Works

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11 of 11 papers shown

1.

ARCOS, Juan Manuel GARCIA, J. F. Ziegler, Silvia Grigolon, et al.. (2024). Rigidity percolation and active advection synergize in the actomyosin cortex to drive amoeboid cell motility. Developmental Cell. 59(22). 2990–3007.e7. 3 indexed citations

2.

Grigolon, Silvia, et al.. (2021). Adhesion Percolation Determines Global Deformation Behavior in Biomimetic Emulsions. Frontiers in Physics. 9. 2 indexed citations

3.

Grigolon, Silvia, et al.. (2019). From Endogenous to Synthetic microRNA-Mediated Regulatory Circuits: An Overview. Cells. 8(12). 1540–1540. 17 indexed citations

4.

Bosia, Carla, et al.. (2018). Stochastic sequestration dynamics: a minimal model with extrinsic noise for bimodal distributions and competitors correlation. Scientific Reports. 8(1). 10387–10387. 7 indexed citations

5.

Bo, Stefano, et al.. (2018). On the role of extrinsic noise in microRNA-mediated bimodal gene expression. PLoS Computational Biology. 14(4). e1006063–e1006063. 15 indexed citations

6.

Petridou, Nicoletta I., Silvia Grigolon, Guillaume Salbreux, Édouard Hannezo, & Carl‐Philipp Heisenberg. (2018). Fluidization-mediated tissue spreading by mitotic cell rounding and non-canonical Wnt signalling. Nature Cell Biology. 21(2). 169–178. 122 indexed citations

7.

Grigolon, Silvia, Barbara Bravi, & Olivier Martin. (2018). Responses to auxin signals: an operating principle for dynamical sensitivity yet high resilience. Royal Society Open Science. 5(1). 172098–172098. 4 indexed citations

8.

Morita, Hitoshi, et al.. (2017). The Physical Basis of Coordinated Tissue Spreading in Zebrafish Gastrulation. Developmental Cell. 40(4). 354–366.e4. 60 indexed citations

9.

Smutny, Michael, Zsuzsa Ákos, Silvia Grigolon, et al.. (2017). Friction forces position the neural anlage. Nature Cell Biology. 19(4). 306–317. 72 indexed citations

10.

Grigolon, Silvia, Silvio Franz, & Matteo Marsili. (2016). Identifying relevant positions in proteins by Critical Variable Selection. Molecular BioSystems. 12(7). 2147–2158. 13 indexed citations

11.

Grigolon, Silvia, Peter Sollich, & Olivier Martin. (2015). Modelling the emergence of polarity patterns for the intercellular transport of auxin in plants. Journal of The Royal Society Interface. 12(106). 20141223–20141223. 5 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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