David Flores-Benítez

869 total citations
16 papers, 657 citations indexed

About

David Flores-Benítez is a scholar working on Molecular Biology, Neurology and Cell Biology. According to data from OpenAlex, David Flores-Benítez has authored 16 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Neurology and 5 papers in Cell Biology. Recurrent topics in David Flores-Benítez's work include Barrier Structure and Function Studies (7 papers), Connexins and lens biology (6 papers) and Hippo pathway signaling and YAP/TAZ (5 papers). David Flores-Benítez is often cited by papers focused on Barrier Structure and Function Studies (7 papers), Connexins and lens biology (6 papers) and Hippo pathway signaling and YAP/TAZ (5 papers). David Flores-Benítez collaborates with scholars based in Mexico, Germany and United States. David Flores-Benítez's co-authors include R. Contreras, Marcelino Cereijido, Liora Shoshani, Isabel Larré, Elisabeth Knust, Catalina Flores-Maldonado, Ruth Rincón-Heredia, Andrea Salazar-Lázaro, Teresita Padilla‐Benavides and Agustı́n Ruiz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Current Opinion in Cell Biology and Biochimica et Biophysica Acta (BBA) - Biomembranes.

In The Last Decade

David Flores-Benítez

16 papers receiving 644 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 Flores-Benítez Mexico 14 396 206 164 50 50 16 657
Nitesh Shashikanth United States 11 406 1.0× 159 0.8× 177 1.1× 73 1.5× 57 1.1× 20 711
Socorro Islas Mexico 12 521 1.3× 483 2.3× 144 0.9× 39 0.8× 81 1.6× 12 910
Anne L. Robertson United States 13 329 0.8× 68 0.3× 190 1.2× 35 0.7× 52 1.0× 13 783
Fabio D’Atri Italy 10 616 1.6× 511 2.5× 247 1.5× 51 1.0× 59 1.2× 10 914
Joanne M. McCormack United States 10 381 1.0× 412 2.0× 92 0.6× 59 1.2× 70 1.4× 11 766
Stacy A. Francis United States 8 371 0.9× 417 2.0× 85 0.5× 40 0.8× 66 1.3× 8 619
Martha Robles‐Flores Mexico 19 663 1.7× 119 0.6× 111 0.7× 70 1.4× 181 3.6× 52 1.0k
Denise Huber Switzerland 9 295 0.7× 116 0.6× 71 0.4× 33 0.7× 26 0.5× 9 502
Kajsa Holmgren Peterson Sweden 11 355 0.9× 81 0.4× 223 1.4× 138 2.8× 22 0.4× 15 693
Julie K. Westphal Germany 6 321 0.8× 418 2.0× 63 0.4× 45 0.9× 50 1.0× 7 543

Countries citing papers authored by David Flores-Benítez

Since Specialization
Citations

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

Fields of papers citing papers by David Flores-Benítez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Flores-Benítez. 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 Flores-Benítez. The network helps show where David Flores-Benítez may publish in the future.

Co-authorship network of co-authors of David Flores-Benítez

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

All Works

16 of 16 papers shown
1.
Brankatschk, Marko, et al.. (2022). In Vivo Analysis of Pathways Regulating Epithelial Polarity and Secretion Using Drosophila Salivary Glands. Methods in molecular biology. 2438. 323–344. 1 indexed citations
2.
Knust, Elisabeth, et al.. (2019). Crumbs organizes the transport machinery by regulating apical levels of PI(4,5)P2 in Drosophila. eLife. 8. 15 indexed citations
3.
Ortega‐Pierres, Guadalupe, Raúl Argüello-García, David Flores-Benítez, et al.. (2018). Giardipain-1, a protease secreted by Giardia duodenalis trophozoites, causes junctional, barrier and apoptotic damage in epithelial cell monolayers. International Journal for Parasitology. 48(8). 621–639. 36 indexed citations
4.
Raya‐Sandino, Arturo, Lourdes Alarcón, David Flores-Benítez, et al.. (2017). Zonula occludens-2 regulates Rho proteins activity and the development of epithelial cytoarchitecture and barrier function. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1864(10). 1714–1733. 33 indexed citations
5.
Caviglia, Sara, et al.. (2017). Rabs on the fly: Functions of Rab GTPases during development. Small GTPases. 10(2). 89–98. 8 indexed citations
6.
Flores-Benítez, David & Elisabeth Knust. (2016). Dynamics of epithelial cell polarity in Drosophila: how to regulate the regulators?. Current Opinion in Cell Biology. 42. 13–21. 38 indexed citations
7.
Flores-Benítez, David & Elisabeth Knust. (2015). Crumbs is an essential regulator of cytoskeletal dynamics and cell-cell adhesion during dorsal closure in Drosophila. eLife. 4. 34 indexed citations
8.
Flores-Benítez, David, et al.. (2013). Fosmid-Based Structure-Function Analysis Reveals Functionally Distinct Domains in the Cytoplasmic Domain ofDrosophilaCrumbs. G3 Genes Genomes Genetics. 3(2). 153–165. 27 indexed citations
9.
Rincón-Heredia, Ruth, David Flores-Benítez, Catalina Flores-Maldonado, et al.. (2013). Ouabain induces endocytosis and degradation of tight junction proteins through ERK1/2-dependent pathways. Experimental Cell Research. 320(1). 108–118. 21 indexed citations
10.
Padilla‐Benavides, Teresita, Isabel Larré, David Flores-Benítez, et al.. (2010). The Polarized Distribution of Na+,K+-ATPase: Role of the Interaction between β Subunits. Molecular Biology of the Cell. 21(13). 2217–2225. 35 indexed citations
11.
Larré, Isabel, R. Contreras, María S. Balda, et al.. (2010). Ouabain modulates epithelial cell tight junction. Proceedings of the National Academy of Sciences. 107(25). 11387–11392. 79 indexed citations
12.
Flores-Benítez, David, et al.. (2009). Control of tight junctional sealing: roles of epidermal growth factor and prostaglandin E2. American Journal of Physiology-Cell Physiology. 297(3). C611–C620. 29 indexed citations
13.
Cereijido, Marcelino, R. Contreras, Liora Shoshani, David Flores-Benítez, & Isabel Larré. (2007). Tight junction and polarity interaction in the transporting epithelial phenotype. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1778(3). 770–793. 118 indexed citations
14.
Cereijido, Marcelino, R. Contreras, David Flores-Benítez, et al.. (2007). New Diseases Derived or Associated with the Tight Junction. Archives of Medical Research. 38(5). 465–478. 69 indexed citations
15.
Flores-Benítez, David, et al.. (2006). Control of tight junctional sealing: role of epidermal growth factor. American Journal of Physiology-Renal Physiology. 292(2). F828–F836. 47 indexed citations
16.
Contreras, R., Catalina Flores-Maldonado, Andrea Salazar-Lázaro, et al.. (2004). Ouabain Binding to Na+,K+-ATPase Relaxes Cell Attachment and Sends a SpecificSignal (NACos) to the Nucleus. The Journal of Membrane Biology. 198(3). 147–158. 67 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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