Quynh Dang

636 total citations
10 papers, 453 citations indexed

About

Quynh Dang is a scholar working on Cell Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, Quynh Dang has authored 10 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cell Biology, 3 papers in Immunology and 3 papers in Biomedical Engineering. Recurrent topics in Quynh Dang's work include Cellular Mechanics and Interactions (5 papers), Force Microscopy Techniques and Applications (2 papers) and Microfluidic and Bio-sensing Technologies (2 papers). Quynh Dang is often cited by papers focused on Cellular Mechanics and Interactions (5 papers), Force Microscopy Techniques and Applications (2 papers) and Microfluidic and Bio-sensing Technologies (2 papers). Quynh Dang collaborates with scholars based in United States, Germany and Iran. Quynh Dang's co-authors include Ralph A. Kelly, Richard Lee, Keiji Yamamoto, Scott P. Kennedy, Rapin Osathanondh, Ramaswamy Krishnan, K. Rajendran, Enhua H. Zhou, Jeffrey J. Fredberg and Jae Hun Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Quynh Dang

10 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quynh Dang United States 9 171 153 111 79 66 10 453
Jean M. Underwood United States 12 114 0.7× 451 2.9× 28 0.3× 82 1.0× 32 0.5× 15 721
Melody Liles United Kingdom 7 165 1.0× 65 0.4× 21 0.2× 97 1.2× 23 0.3× 8 385
Rebecca A. Porter United Kingdom 10 202 1.2× 150 1.0× 24 0.2× 113 1.4× 17 0.3× 11 454
Paul B. Henrich Switzerland 16 98 0.6× 174 1.1× 404 3.6× 66 0.8× 68 1.0× 36 783
Iman Jalilian Australia 15 141 0.8× 192 1.3× 26 0.2× 137 1.7× 17 0.3× 23 590
Lyndsay L. Leach United States 11 75 0.4× 464 3.0× 122 1.1× 59 0.7× 14 0.2× 15 647
Giovanni Mariggi United Kingdom 4 96 0.6× 296 1.9× 36 0.3× 30 0.4× 11 0.2× 4 442
Kiyoko Gocho Japan 15 76 0.4× 324 2.1× 597 5.4× 29 0.4× 33 0.5× 39 844
Aleksandr Rabodzey United States 5 372 2.2× 176 1.2× 11 0.1× 162 2.1× 30 0.5× 6 581
Timothy F. Plageman United States 14 200 1.2× 574 3.8× 27 0.2× 23 0.3× 61 0.9× 23 709

Countries citing papers authored by Quynh Dang

Since Specialization
Citations

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

Fields of papers citing papers by Quynh Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quynh Dang

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

All Works

10 of 10 papers shown
1.
Thompson, Emma E., Quynh Dang, K. Rajendran, et al.. (2020). Cytokine-induced molecular responses in airway smooth muscle cells inform genome-wide association studies of asthma. Genome Medicine. 12(1). 64–64. 11 indexed citations
3.
Rajendran, K., Quynh Dang, Amjad Husain, et al.. (2018). Traction Force Screening Enabled by Compliant PDMS Elastomers. Biophysical Journal. 114(9). 2194–2199. 44 indexed citations
4.
Rajakumar, Augustine, Suzanne D. Burke, Sarosh Rana, et al.. (2016). Gelsolin is an endogenous inhibitor of syncytiotrophoblast extracellular vesicle shedding in pregnancy. Pregnancy Hypertension. 6(4). 333–339. 9 indexed citations
5.
Rajendran, K., Quynh Dang, Hao Chen, et al.. (2014). Active mechanics and dynamics of cell spreading on elastic substrates. Soft Matter. 10(37). 7234–7234. 55 indexed citations
6.
Overby, Darryl R., Enhua H. Zhou, Ryan M. Pedrigi, et al.. (2014). Altered mechanobiology of Schlemm’s canal endothelial cells in glaucoma. Proceedings of the National Academy of Sciences. 111(38). 13876–13881. 144 indexed citations
7.
Zhou, Enhua H., Christa Watson, Joel M. Cohen, et al.. (2014). Assessing The Impact of Engineered Nanoparticles on Wound Healing Using A Novel In Vitro Bioassay. Nanomedicine. 9(18). 2803–2815. 34 indexed citations
8.
Yamamoto, Keiji, Quynh Dang, Yoshikazu Maeda, et al.. (2001). Regulation of Cardiomyocyte Mechanotransduction by the Cardiac Cycle. Circulation. 103(10). 1459–1464. 39 indexed citations
9.
Yamamoto, Keiji, Quynh Dang, Scott P. Kennedy, et al.. (1999). Induction of Tenascin-C in Cardiac Myocytes by Mechanical Deformation. Journal of Biological Chemistry. 274(31). 21840–21846. 96 indexed citations
10.
Yamamoto, Keiji, Quynh Dang, Ralph A. Kelly, & Richard Lee. (1998). Mechanical Strain Suppresses Inducible Nitric-oxide Synthase in Cardiac Myocytes. Journal of Biological Chemistry. 273(19). 11862–11866. 20 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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