Simón García

1.4k total citations
9 papers, 961 citations indexed

About

Simón García is a scholar working on Cell Biology, Biomedical Engineering and Condensed Matter Physics. According to data from OpenAlex, Simón García has authored 9 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 5 papers in Biomedical Engineering and 3 papers in Condensed Matter Physics. Recurrent topics in Simón García's work include Cellular Mechanics and Interactions (6 papers), Microfluidic and Bio-sensing Technologies (3 papers) and Micro and Nano Robotics (3 papers). Simón García is often cited by papers focused on Cellular Mechanics and Interactions (6 papers), Microfluidic and Bio-sensing Technologies (3 papers) and Micro and Nano Robotics (3 papers). Simón García collaborates with scholars based in France, Spain and United States. Simón García's co-authors include Pascal Silberzan, Guillaume Duclos, Jean‐François Joanny, Nir S. Gov, Édouard Hannezo, Jens Elgeti, Hannah Yevick, Xavier Trepat, Benjamin Steventon and Andrea Streit and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Cell Biology.

In The Last Decade

Simón García

9 papers receiving 956 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simón García France 8 534 354 333 256 94 9 961
Guillaume Duclos France 13 633 1.2× 463 1.3× 572 1.7× 181 0.7× 234 2.5× 20 1.2k
Carlès Blanch-Mercader France 17 520 1.0× 366 1.0× 459 1.4× 116 0.5× 167 1.8× 32 935
Michael P. Murrell United States 22 1.3k 2.4× 578 1.6× 375 1.1× 477 1.9× 84 0.9× 56 1.9k
Brian A. Camley United States 20 649 1.2× 572 1.6× 271 0.8× 507 2.0× 36 0.4× 44 1.3k
Hervé Turlier France 14 674 1.3× 337 1.0× 159 0.5× 581 2.3× 52 0.6× 16 1.3k
M. Poujade France 5 693 1.3× 545 1.5× 209 0.6× 164 0.6× 36 0.4× 9 951
Thuan Beng Saw Singapore 12 421 0.8× 306 0.9× 168 0.5× 117 0.5× 72 0.8× 15 702
Erwan Grasland‐Mongrain France 7 971 1.8× 1.4k 3.9× 322 1.0× 236 0.9× 66 0.7× 8 1.9k
Kyogo Kawaguchi Japan 10 297 0.6× 134 0.4× 210 0.6× 619 2.4× 98 1.0× 25 1.3k
Jean-François Rupprecht France 18 474 0.9× 300 0.8× 136 0.4× 299 1.2× 37 0.4× 30 886

Countries citing papers authored by Simón García

Since Specialization
Citations

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

Fields of papers citing papers by Simón García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simón García

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

All Works

9 of 9 papers shown
1.
Blanch-Mercader, Carlès, Simón García, Kristina Sliogeryte, et al.. (2018). Collective stresses drive competition between monolayers of normal and Ras-transformed cells. Soft Matter. 15(4). 537–545. 20 indexed citations
2.
Blanch-Mercader, Carlès, Victor Yashunsky, Simón García, et al.. (2018). Turbulent Dynamics of Epithelial Cell Cultures. Physical Review Letters. 120(20). 208101–208101. 110 indexed citations
3.
Hwu, Wen‐mei, et al.. (2017). Thoughts on massively-parallel heterogeneous computing for solving large problems. 3 indexed citations
4.
García, Simón, Édouard Hannezo, Jens Elgeti, et al.. (2015). Physics of active jamming during collective cellular motion in a monolayer. Proceedings of the National Academy of Sciences. 112(50). 15314–15319. 297 indexed citations
5.
Beaune, Grégory, Nada Khalifat, Olivier Cochet‐Escartin, et al.. (2014). How cells flow in the spreading of cellular aggregates. Proceedings of the National Academy of Sciences. 111(22). 8055–8060. 67 indexed citations
6.
Théveneau, Eric, Benjamin Steventon, Elena Scarpa, et al.. (2013). Chase-and-run between adjacent cell populations promotes directional collective migration. Nature Cell Biology. 15(7). 763–772. 239 indexed citations
7.
Duclos, Guillaume, Simón García, Hannah Yevick, & Pascal Silberzan. (2013). Perfect nematic order in confined monolayers of spindle-shaped cells. Soft Matter. 10(14). 2346–2353. 146 indexed citations
8.
Camacho, Luz, Óscar Meca‐Cortés, José Luı́s Abad, et al.. (2013). Acid ceramidase as a therapeutic target in metastatic prostate cancer. Journal of Lipid Research. 54(5). 1207–1220. 63 indexed citations
9.
Nocentini, Sara, Simón García, María Teresa Moreno-Flores, et al.. (2011). Myelin-associated proteins block the migration of olfactory ensheathing cells: an in vitro study using single-cell tracking and traction force microscopy. Cellular and Molecular Life Sciences. 69(10). 1689–1703. 16 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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