Kris A. DeMali

5.0k total citations · 1 hit paper
51 papers, 3.8k citations indexed

About

Kris A. DeMali is a scholar working on Cell Biology, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, Kris A. DeMali has authored 51 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cell Biology, 26 papers in Molecular Biology and 16 papers in Immunology and Allergy. Recurrent topics in Kris A. DeMali's work include Cellular Mechanics and Interactions (28 papers), Cell Adhesion Molecules Research (16 papers) and Protein Kinase Regulation and GTPase Signaling (10 papers). Kris A. DeMali is often cited by papers focused on Cellular Mechanics and Interactions (28 papers), Cell Adhesion Molecules Research (16 papers) and Protein Kinase Regulation and GTPase Signaling (10 papers). Kris A. DeMali collaborates with scholars based in United States, France and Australia. Kris A. DeMali's co-authors include Keith Burridge, Jennifer Bays, Andrius Kazlauskas, Krister Wennerberg, Jessica L. Maiers, Hannah Campbell, Christy A. Barlow, Xiao Peng, Ann Marie Pendergast and Rina Plattner and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and The Journal of Cell Biology.

In The Last Decade

Kris A. DeMali

50 papers receiving 3.8k citations

Hit Papers

Vinculin in cell–cell and... 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kris A. DeMali 1.8k 1.8k 768 443 336 51 3.8k
Xiang-Dong Ren 1.9k 1.0× 1.6k 0.9× 984 1.3× 359 0.8× 247 0.7× 28 3.6k
Fredrick M. Pavalko 1.9k 1.1× 1.6k 0.9× 1.3k 1.7× 405 0.9× 318 0.9× 60 4.1k
Fumihiko Nakamura 1.9k 1.1× 2.7k 1.5× 547 0.7× 562 1.3× 234 0.7× 90 4.8k
Dan P. Felsenfeld 1.4k 0.8× 1.7k 1.0× 968 1.3× 616 1.4× 273 0.8× 29 3.5k
Corinne Albigès‐Rizo 1.9k 1.1× 2.0k 1.1× 1.3k 1.7× 673 1.5× 497 1.5× 91 4.6k
Karl R. Fath 1.4k 0.8× 1.7k 1.0× 1.2k 1.5× 317 0.7× 189 0.6× 37 3.2k
Alexis Gautreau 3.0k 1.7× 3.1k 1.8× 975 1.3× 345 0.8× 547 1.6× 89 5.8k
Maryse Bailly 1.5k 0.8× 1.6k 0.9× 727 0.9× 319 0.7× 308 0.9× 66 3.3k
Ellie Tzima 2.5k 1.4× 1.8k 1.0× 923 1.2× 493 1.1× 279 0.8× 62 5.3k
Kyle R. Legate 1.6k 0.9× 1.5k 0.9× 1.8k 2.3× 284 0.6× 353 1.1× 24 3.7k

Countries citing papers authored by Kris A. DeMali

Since Specialization
Citations

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

Fields of papers citing papers by Kris A. DeMali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kris A. DeMali. 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 Kris A. DeMali. The network helps show where Kris A. DeMali may publish in the future.

Co-authorship network of co-authors of Kris A. DeMali

This figure shows the co-authorship network connecting the top 25 collaborators of Kris A. DeMali. A scholar is included among the top collaborators of Kris A. DeMali 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 Kris A. DeMali. Kris A. DeMali 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.
DeMali, Kris A., et al.. (2025). E-Cadherin: A conductor of cellular signaling. Current Opinion in Cell Biology. 95. 102559–102559. 1 indexed citations
2.
DeMali, Kris A., et al.. (2024). Shear stress-stimulated AMPK couples endothelial cell mechanics, metabolism and vasodilation. Journal of Cell Science. 137(24). 3 indexed citations
3.
DeMali, Kris A., et al.. (2023). Vinculin Y822 is an important determinant of ligand binding. Journal of Cell Science. 136(12). 5 indexed citations
4.
DeMali, Kris A., et al.. (2023). Metabolic reprogramming in response to cell mechanics. Biology of the Cell. 115(5). e202200108–e202200108. 8 indexed citations
5.
DeMali, Kris A., et al.. (2021). IRF6 Regulates the Delivery of E-Cadherin to the Plasma Membrane. Journal of Investigative Dermatology. 142(2). 314–322. 10 indexed citations
6.
Bays, Jennifer, et al.. (2021). Ankyrin G organizes membrane components to promote coupling of cell mechanics and glucose uptake. Nature Cell Biology. 23(5). 457–466. 24 indexed citations
7.
Campbell, Hannah, et al.. (2019). PAK2 links cell survival to mechanotransduction and metabolism. The Journal of Cell Biology. 218(6). 1958–1971. 22 indexed citations
8.
Campbell, Hannah, et al.. (2018). SHP-2 is activated in response to force on E-cadherin and dephosphorylates vinculin Y822. Journal of Cell Science. 131(24). 3 indexed citations
9.
Campbell, Hannah, Jessica L. Maiers, & Kris A. DeMali. (2017). Interplay between tight junctions & adherens junctions. Experimental Cell Research. 358(1). 39–44. 234 indexed citations
10.
Bays, Jennifer, Xiao Peng, Christophe Guilluy, et al.. (2014). Vinculin phosphorylation differentially regulates mechanotransduction at cell–cell and cell–matrix adhesions. The Journal of Cell Biology. 205(2). 251–263. 129 indexed citations
11.
Mahauad‐Fernandez, Wadie D., Kris A. DeMali, Alicia K. Olivier, & Chioma M. Okeoma. (2014). Bone marrow stromal antigen 2 expressed in cancer cells promotes mammary tumor growth and metastasis. Breast Cancer Research. 16(6). 493–493. 55 indexed citations
12.
Maiers, Jessica L., Xiao Peng, Alan S. Fanning, & Kris A. DeMali. (2013). ZO-1 recruitment to α-catenin: a novel mechanism for coupling the assembly of tight junctions to adherens junctions. Journal of Cell Science. 126(Pt 17). 3904–15. 57 indexed citations
13.
DeMali, Kris A. & Josephine C. Adams. (2012). Cell–cell and cell–matrix interactions. Molecular Biology of the Cell. 23(6). 965–965. 1 indexed citations
14.
Folkmann, Andrew W., et al.. (2011). Vinculin Activators Target Integrins from Within the Cell to Increase Melanoma Sensitivity to Chemotherapy. Molecular Cancer Research. 9(6). 712–723. 11 indexed citations
15.
Peng, Xiao, et al.. (2010). Vinculin regulates cell-surface E-cadherin expression by binding to β-catenin. Journal of Cell Science. 123(4). 567–577. 133 indexed citations
16.
Ellerbroek, Shawn M., Krister Wennerberg, William T. Arthur, et al.. (2004). SGEF, a RhoG Guanine Nucleotide Exchange Factor that Stimulates Macropinocytosis. Molecular Biology of the Cell. 15(7). 3309–3319. 91 indexed citations
17.
DeMali, Kris A.. (2004). Vinculin – a dynamic regulator of cell adhesion. Trends in Biochemical Sciences. 29(11). 565–567. 68 indexed citations
18.
DeMali, Kris A., Christy A. Barlow, & Keith Burridge. (2002). Recruitment of the Arp2/3 complex to vinculin. The Journal of Cell Biology. 159(5). 881–891. 336 indexed citations
19.
DeMali, Kris A., Craig C. Whiteford, Emin T. Ulug, & Andrius Kazlauskas. (1997). Platelet-derived Growth Factor-dependent Cellular Transformation Requires Either Phospholipase Cγ or Phosphatidylinositol 3 Kinase. Journal of Biological Chemistry. 272(14). 9011–9018. 50 indexed citations
20.
Valenzuela, C. Fernando, Andrius Kazlauskas, Susan J. Brozowski, et al.. (1995). Platelet-derived growth factor receptor is a novel modulator of type A gamma-aminobutyric acid-gated ion channels.. Molecular Pharmacology. 48(6). 1099–1107. 29 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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