Daniel E. Conway

3.4k total citations · 2 hit papers
54 papers, 2.4k citations indexed

About

Daniel E. Conway is a scholar working on Cell Biology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Daniel E. Conway has authored 54 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cell Biology, 29 papers in Molecular Biology and 10 papers in Biomedical Engineering. Recurrent topics in Daniel E. Conway's work include Cellular Mechanics and Interactions (34 papers), Nuclear Structure and Function (10 papers) and 3D Printing in Biomedical Research (8 papers). Daniel E. Conway is often cited by papers focused on Cellular Mechanics and Interactions (34 papers), Nuclear Structure and Function (10 papers) and 3D Printing in Biomedical Research (8 papers). Daniel E. Conway collaborates with scholars based in United States, Singapore and Finland. Daniel E. Conway's co-authors include Martin A. Schwartz, Enrico Gratton, Christopher S. Chen, Mark T. Breckenridge, Elizabeth Hinde, Paul T. Arsenovic, Olga Tornavaca, Neil Dufton, Lourdes Osuna Almagro and Minghao Chia and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Daniel E. Conway

51 papers receiving 2.4k citations

Hit Papers

ZO-1 controls endothelial adherens junctions, cell–cell t... 2013 2026 2017 2021 2015 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel E. Conway United States 23 1.1k 1.1k 392 240 230 54 2.4k
Costanza Giampietro Switzerland 25 1.5k 1.4× 698 0.7× 212 0.5× 228 0.9× 218 0.9× 63 3.2k
Darryl R. Overby United Kingdom 39 1.3k 1.2× 1.0k 1.0× 496 1.3× 507 2.1× 194 0.8× 99 4.3k
Monica Giannotta Italy 18 823 0.8× 476 0.5× 178 0.5× 124 0.5× 126 0.5× 25 1.7k
Yasuhiro Sawada Japan 26 1.3k 1.2× 1.3k 1.2× 405 1.0× 270 1.1× 526 2.3× 76 3.0k
Stephan Huveneers Netherlands 33 2.0k 1.8× 1.7k 1.6× 390 1.0× 303 1.3× 981 4.3× 68 4.1k
Vickery Trinkaus‐Randall United States 36 1.1k 1.0× 619 0.6× 151 0.4× 224 0.9× 313 1.4× 99 3.2k
Mercedes Costell Spain 31 1.4k 1.3× 1.3k 1.3× 221 0.6× 308 1.3× 976 4.2× 57 3.2k
Zhong‐Dong Shi United States 18 985 0.9× 337 0.3× 375 1.0× 145 0.6× 82 0.4× 25 1.8k
Curtis T. Okamoto United States 30 1.5k 1.4× 690 0.7× 182 0.5× 374 1.6× 142 0.6× 77 2.7k
Beata Wójciak‐Stothard United Kingdom 30 2.1k 1.9× 1.0k 1.0× 624 1.6× 742 3.1× 611 2.7× 55 4.5k

Countries citing papers authored by Daniel E. Conway

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Conway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Conway. 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 Daniel E. Conway. The network helps show where Daniel E. Conway may publish in the future.

Co-authorship network of co-authors of Daniel E. Conway

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Conway. A scholar is included among the top collaborators of Daniel E. Conway 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 Daniel E. Conway. Daniel E. Conway 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.
Mohajeri, Mohammad, Sasanka S. Chukkapalli, Pushkar P. Lele, et al.. (2024). Matrix stiffness drives drop like nuclear deformation and lamin A/C tension-dependent YAP nuclear localization. Nature Communications. 15(1). 10151–10151. 13 indexed citations
2.
Conway, Daniel E., et al.. (2023). Vinculin is essential for sustaining normal levels of endogenous forces at cell-cell contacts. Biophysical Journal. 122(23). 4518–4527. 4 indexed citations
3.
Conway, Daniel E., et al.. (2023). E-cadherin adhesion dynamics as revealed by an accelerated force ramp are dependent upon the presence of α-catenin. Biochemical and Biophysical Research Communications. 682. 308–315. 3 indexed citations
4.
Cui, Weiyingqi, Yuanyuan Zhang, Tomas Friman, et al.. (2023). Modulation of E-Cadherin Function through the AmotL2 Isoforms Promotes Ameboid Cell Invasion. Cells. 12(13). 1682–1682. 2 indexed citations
5.
Mäntylä, Elina, et al.. (2023). Nuclear lamina strain states revealed by intermolecular force biosensor. Nature Communications. 14(1). 3867–3867. 26 indexed citations
6.
Maruthamuthu, Venkat, et al.. (2022). α–Catenin-dependent vinculin recruitment to adherens junctions is antagonistic to focal adhesions. Molecular Biology of the Cell. 33(11). ar93–ar93. 7 indexed citations
7.
Lechuga, Susana, Alexander X. Cartagena‐Rivera, Daniel E. Conway, et al.. (2022). A myosin chaperone, UNC‐45A, is a novel regulator of intestinal epithelial barrier integrity and repair. The FASEB Journal. 36(5). e22290–e22290. 13 indexed citations
8.
Dahl, Kris Noel, et al.. (2022). Progerin-expressing endothelial cells are unable to adapt to shear stress. Biophysical Journal. 121(4). 620–628. 16 indexed citations
9.
Dahl, Kris Noel, et al.. (2022). Chromatin condensation regulates endothelial cell adaptation to shear stress. Molecular Biology of the Cell. 33(11). ar101–ar101. 14 indexed citations
10.
Zimmer, Stephanie, Takuya Takeichi, Daniel E. Conway, et al.. (2021). Differential Pathomechanisms of Desmoglein 1 Transmembrane Domain Mutations in Skin Disease. Journal of Investigative Dermatology. 142(2). 323–332.e8. 8 indexed citations
11.
Broussard, Joshua A., Daniel E. Conway, Alexander R. Dunn, et al.. (2020). Scaling up single-cell mechanics to multicellular tissues – the role of the intermediate filament–desmosome network. Journal of Cell Science. 133(6). 47 indexed citations
12.
Mayer, Carl R., et al.. (2020). Osmotic Gradients in Epithelial Acini Increase Mechanical Tension across E-cadherin, Drive Morphogenesis, and Maintain Homeostasis. Current Biology. 30(4). 624–633.e4. 45 indexed citations
13.
Mayer, Carl R., Justin M. Saunders, Miguel Fribourg, et al.. (2020). Interclass GPCR heteromerization affects localization and trafficking. Science Signaling. 13(654). 31 indexed citations
14.
Taylor, R. E., et al.. (2020). Lamin microaggregates lead to altered mechanotransmission in progerin-expressing cells. Nucleus. 11(1). 194–204. 6 indexed citations
15.
Mayer, Carl R., et al.. (2019). Characterization of 3D Printed Stretching Devices for Imaging Force Transmission in Live-Cells. Cellular and Molecular Bioengineering. 12(4). 289–300. 19 indexed citations
17.
McRae, MaryPeace, et al.. (2018). Characterization of cell-cell junction changes associated with the formation of a strong endothelial barrier. Tissue Barriers. 6(1). e1405774–e1405774. 25 indexed citations
18.
Arsenovic, Paul T., Carl R. Mayer, & Daniel E. Conway. (2017). SensorFRET: A Standardless Approach to Measuring Pixel-based Spectral Bleed-through and FRET Efficiency using Spectral Imaging. Scientific Reports. 7(1). 15609–15609. 13 indexed citations
19.
Lagendijk, Anne K., Guillermo A. Gómez, Sungmin Baek, et al.. (2017). Live imaging molecular changes in junctional tension upon VE-cadherin in zebrafish. Nature Communications. 8(1). 1402–1402. 76 indexed citations
20.
Conway, Daniel E. & Martin A. Schwartz. (2012). Lessons from the endothelial junctional mechanosensory complex. F1000 Biology Reports. 4. 1–1. 81 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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