David Gonzalez‐Rodriguez

1.2k total citations
36 papers, 834 citations indexed

About

David Gonzalez‐Rodriguez is a scholar working on Cell Biology, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, David Gonzalez‐Rodriguez has authored 36 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cell Biology, 14 papers in Biomedical Engineering and 8 papers in Molecular Biology. Recurrent topics in David Gonzalez‐Rodriguez's work include Cellular Mechanics and Interactions (15 papers), 3D Printing in Biomedical Research (10 papers) and Micro and Nano Robotics (8 papers). David Gonzalez‐Rodriguez is often cited by papers focused on Cellular Mechanics and Interactions (15 papers), 3D Printing in Biomedical Research (10 papers) and Micro and Nano Robotics (8 papers). David Gonzalez‐Rodriguez collaborates with scholars based in France, United States and Finland. David Gonzalez‐Rodriguez's co-authors include Françoise Brochard‐Wyart, Karine Guevorkian, Stéphane Douezan, Ole Secher Madsen, Abdul I. Barakat, Sylvie Dufour, Emmanuel Lemichez, Avin Babataheri, Julien Husson and Patricia Bassereau and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

David Gonzalez‐Rodriguez

34 papers receiving 825 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Gonzalez‐Rodriguez France 17 349 330 156 98 92 36 834
Hongyuan Jiang China 22 655 1.9× 562 1.7× 744 4.8× 137 1.4× 8 0.1× 80 1.9k
Alexander Groisman United States 20 235 0.7× 465 1.4× 341 2.2× 61 0.6× 7 0.1× 28 2.0k
Madhav Mani United States 14 369 1.1× 132 0.4× 384 2.5× 34 0.3× 4 0.0× 33 1.1k
Fabian Heinemann Germany 19 217 0.6× 311 0.9× 259 1.7× 40 0.4× 4 0.0× 32 1.0k
Ricard Alert Spain 17 426 1.2× 405 1.2× 192 1.2× 475 4.8× 4 0.0× 30 1.0k
Daria Bonazzi France 11 384 1.1× 184 0.6× 483 3.1× 52 0.5× 2 0.0× 14 1.1k
Robert Dillon United States 18 158 0.5× 491 1.5× 231 1.5× 453 4.6× 5 0.1× 30 1.4k
Qingzong Tseng France 12 775 2.2× 510 1.5× 427 2.7× 32 0.3× 3 0.0× 16 1.3k
Olivia du Roure France 21 797 2.3× 959 2.9× 256 1.6× 399 4.1× 5 0.1× 46 1.9k
Akihiro Yoshida Japan 21 173 0.5× 101 0.3× 523 3.4× 15 0.2× 6 0.1× 92 1.5k

Countries citing papers authored by David Gonzalez‐Rodriguez

Since Specialization
Citations

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

Fields of papers citing papers by David Gonzalez‐Rodriguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Gonzalez‐Rodriguez. 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 David Gonzalez‐Rodriguez. The network helps show where David Gonzalez‐Rodriguez may publish in the future.

Co-authorship network of co-authors of David Gonzalez‐Rodriguez

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

All Works

20 of 20 papers shown
1.
Gonzalez‐Rodriguez, David, et al.. (2024). Dynamics of paramagnetic permanent chains and self-assembled clusters under a rapidly rotating magnetic field. The Journal of Chemical Physics. 161(16).
2.
Wang, Xiuyu, et al.. (2023). Contractility-induced self-organization of smooth muscle cells: from multilayer cell sheets to dynamic three-dimensional clusters. Communications Biology. 6(1). 262–262. 5 indexed citations
3.
Tsai, Feng‐Ching, Thomas Obadia, Nishit Srivastava, et al.. (2023). Caveolin-1 protects endothelial cells from extensive expansion of transcellular tunnel by stiffening the plasma membrane. eLife. 12. 2 indexed citations
4.
Beaune, Grégory, et al.. (2022). Fusion Dynamics of Hybrid Cell–Microparticle Aggregates: A Jelly Pearl Model. Langmuir. 38(17). 5296–5306. 8 indexed citations
5.
Janel, Sébastien, David Gonzalez‐Rodriguez, Amel Mettouchi, et al.. (2021). DHA-containing phospholipids control membrane fusion and transcellular tunnel dynamics. Journal of Cell Science. 135(5). 3 indexed citations
6.
Beaune, Grégory, et al.. (2021). Inert-living matter, when cells and beads play together. Communications Physics. 4(1). 6 indexed citations
7.
Hamze, Samah, et al.. (2020). Activity-modulated phase transition in a two-dimensional mixture of active and passive colloids. The European Physical Journal E. 43(3). 18–18. 2 indexed citations
8.
9.
Marcos, Marcos, et al.. (2018). Permeability and viscoelastic fracture of a model tumor under interstitial flow. Soft Matter. 14(30). 6386–6392. 8 indexed citations
10.
Messina, René, et al.. (2018). Ordering of sedimenting paramagnetic colloids in a monolayer. Physical review. E. 98(2). 20601–20601. 7 indexed citations
11.
Beaune, Grégory, Carlès Blanch-Mercader, Stéphane Douezan, et al.. (2018). Spontaneous migration of cellular aggregates from giant keratocytes to running spheroids. Proceedings of the National Academy of Sciences. 115(51). 12926–12931. 37 indexed citations
12.
Babataheri, Avin, Stéphanie Dogniaux, Abdul I. Barakat, et al.. (2017). Micropipette force probe to quantify single-cell force generation: application to T-cell activation. Molecular Biology of the Cell. 28(23). 3229–3239. 45 indexed citations
13.
Stefani, Caroline, David Gonzalez‐Rodriguez, Yosuke Senju, et al.. (2017). Ezrin enhances line tension along transcellular tunnel edges via NMIIa driven actomyosin cable formation. Nature Communications. 8(1). 15839–15839. 22 indexed citations
14.
Gonzalez‐Rodriguez, David, Lionel Guillou, Julie Lafaurie-Janvore, et al.. (2016). Mechanical Criterion for the Rupture of a Cell Membrane under Compression. Biophysical Journal. 111(12). 2711–2721. 42 indexed citations
15.
Gonzalez‐Rodriguez, David, et al.. (2015). Optimization of Drug Delivery by Drug-Eluting Stents. PLoS ONE. 10(6). e0130182–e0130182. 54 indexed citations
16.
Gonzalez‐Rodriguez, David, Sébastien Sart, Avin Babataheri, et al.. (2015). Elastocapillary Instability in Mitochondrial Fission. Physical Review Letters. 115(8). 88102–88102. 19 indexed citations
17.
Lemichez, Emmanuel, David Gonzalez‐Rodriguez, Patricia Bassereau, & Françoise Brochard‐Wyart. (2012). Transcellular tunnel dynamics: Control of cellular dewetting by actomyosin contractility and I‐BAR proteins. Biology of the Cell. 105(3). 109–117. 20 indexed citations
18.
Maddugoda, Madhavi P., Caroline Stefani, David Gonzalez‐Rodriguez, et al.. (2011). cAMP Signaling by Anthrax Edema Toxin Induces Transendothelial Cell Tunnels, which Are Resealed by MIM via Arp2/3-Driven Actin Polymerization. Cell Host & Microbe. 10(5). 464–474. 54 indexed citations
19.
Gonzalez‐Rodriguez, David & Ole Secher Madsen. (2011). PREDICTION OF NET BEDLOAD TRANSPORT RATES OBTAINED IN OSCILLATING WATER TUNNELS AND APPLICABILITY TO REAL SURF ZONE WAVES. Coastal Engineering Proceedings. 21–21. 2 indexed citations
20.
Gonzalez‐Rodriguez, David & Ole Secher Madsen. (2009). BEDLOAD TRANSPORT DUE TO ASYMMETRIC AND SKEWED WAVES PLUS A CURRENT. 1596–1605. 3 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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