Michelle Dawson

3.8k total citations
52 papers, 2.6k citations indexed

About

Michelle Dawson is a scholar working on Cell Biology, Oncology and Molecular Biology. According to data from OpenAlex, Michelle Dawson has authored 52 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cell Biology, 18 papers in Oncology and 13 papers in Molecular Biology. Recurrent topics in Michelle Dawson's work include Cellular Mechanics and Interactions (21 papers), Cancer Cells and Metastasis (17 papers) and Mesenchymal stem cell research (7 papers). Michelle Dawson is often cited by papers focused on Cellular Mechanics and Interactions (21 papers), Cancer Cells and Metastasis (17 papers) and Mesenchymal stem cell research (7 papers). Michelle Dawson collaborates with scholars based in United States, Netherlands and Australia. Michelle Dawson's co-authors include Justin Hanes, Daniel J. McGrail, Denis Wirtz, Deepraj Ghosh, Junghae Suh, Rakesh K. Jain, Samuel K. Lai, Michael Boyle, Jung Soo Suk and Dan G. Duda 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

Michelle Dawson

50 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle Dawson United States 26 883 619 535 445 436 52 2.6k
Brian W. Simons United States 26 1.1k 1.2× 609 1.0× 164 0.3× 244 0.5× 99 0.2× 70 2.5k
Ivo Que Netherlands 34 1.5k 1.7× 807 1.3× 237 0.4× 954 2.1× 84 0.2× 85 4.0k
Gary L. Griffiths United States 43 1.4k 1.5× 980 1.6× 101 0.2× 475 1.1× 156 0.4× 116 4.6k
Ángel M. Carcaboso Spain 33 1.4k 1.6× 645 1.0× 277 0.5× 305 0.7× 61 0.1× 100 3.1k
Catharina de Lange Davies Norway 39 1.4k 1.6× 517 0.8× 212 0.4× 2.2k 4.9× 318 0.7× 128 4.6k
Maxim Shevtsov Russia 30 1.2k 1.4× 297 0.5× 89 0.2× 918 2.1× 231 0.5× 129 2.8k
Susan N. Thomas United States 32 1.3k 1.4× 1.5k 2.4× 183 0.3× 1.1k 2.4× 189 0.4× 86 3.9k
Timothy M. Fan United States 37 1.6k 1.8× 968 1.6× 87 0.2× 1.1k 2.4× 212 0.5× 170 4.7k
Robert E. Nordquist United States 34 742 0.8× 374 0.6× 119 0.2× 1.4k 3.2× 236 0.5× 145 3.6k
Ann‐Marie Broome United States 24 977 1.1× 138 0.2× 79 0.1× 699 1.6× 203 0.5× 44 2.4k

Countries citing papers authored by Michelle Dawson

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Dawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Dawson

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Dawson. A scholar is included among the top collaborators of Michelle Dawson 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 Michelle Dawson. Michelle Dawson 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.
Dawson, Michelle, et al.. (2024). Hybrid physics-guided data-driven modeling for generalizable geometric accuracy prediction and improvement in two-photon lithography. Journal of Manufacturing Processes. 110. 202–210. 8 indexed citations
2.
3.
Lee, Amy Huei‐Yi, et al.. (2023). Senescence-associated exosomes transfer miRNA-induced fibrosis to neighboring cells. Aging. 15(5). 1237–1256. 9 indexed citations
4.
Hsu, Jeffrey, et al.. (2023). Metronomic and single high-dose paclitaxel treatments produce distinct heterogenous chemoresistant cancer cell populations. Scientific Reports. 13(1). 19232–19232. 6 indexed citations
5.
Ghosh, Deepraj, et al.. (2021). Contributions of the distinct biophysical phenotype of polyploidal giant cancer cells to cancer progression. Seminars in Cancer Biology. 81. 64–72. 22 indexed citations
6.
Lee, Amy Huei‐Yi, et al.. (2020). Ovarian Cancer Exosomes Trigger Differential Biophysical Response in Tumor-Derived Fibroblasts. Scientific Reports. 10(1). 8686–8686. 25 indexed citations
7.
Quach, Nhat D., Deepraj Ghosh, Tamás Nagy, et al.. (2019). Paradoxical Role of Glypican-1 in Prostate Cancer Cell and Tumor Growth. Scientific Reports. 9(1). 11478–11478. 18 indexed citations
8.
Ghosh, Deepraj & Michelle Dawson. (2018). Microenvironment Influences Cancer Cell Mechanics from Tumor Growth to Metastasis. Advances in experimental medicine and biology. 1092. 69–90. 24 indexed citations
9.
Ghosh, Deepraj, et al.. (2018). Dysregulation in Actin Cytoskeletal Organization Drives Increased Stiffness and Migratory Persistence in Polyploidal Giant Cancer Cells. Scientific Reports. 8(1). 11935–11935. 54 indexed citations
10.
Ghosh, Deepraj, Daniel J. McGrail, & Michelle Dawson. (2017). TGF-β1 Pretreatment Improves the Function of Mesenchymal Stem Cells in the Wound Bed. Frontiers in Cell and Developmental Biology. 5. 28–28. 30 indexed citations
11.
McGrail, Daniel J., et al.. (2015). Osmotic Regulation Is Required for Cancer Cell Survival under Solid Stress. Biophysical Journal. 109(7). 1334–1337. 36 indexed citations
12.
McGrail, Daniel J., et al.. (2015). Actomyosin tension as a determinant of metastatic cancer mechanical tropism. Physical Biology. 12(2). 26001–26001. 30 indexed citations
13.
McAndrews, Kathleen M., Daniel J. McGrail, Nhat D. Quach, & Michelle Dawson. (2014). Spatially coordinated changes in intracellular rheology and extracellular force exertion during mesenchymal stem cell differentiation. Physical Biology. 11(5). 56004–56004. 12 indexed citations
14.
McGrail, Daniel J., et al.. (2014). Metastatic ovarian cancer cell malignancy is increased on soft matrices through a mechanosensitive Rho/ROCK pathway. Journal of Cell Science. 127(Pt 12). 2621–6. 98 indexed citations
15.
McAndrews, Kathleen M., et al.. (2014). Architectural and Mechanical Cues Direct Mesenchymal Stem Cell Interactions with Crosslinked Gelatin Scaffolds. Tissue Engineering Part A. 20(23-24). 3252–3260. 15 indexed citations
16.
Ghosh, Deepraj, et al.. (2013). Integral Role of Platelet-Derived Growth Factor in Mediating Transforming Growth Factor-β1–Dependent Mesenchymal Stem Cell Stiffening. Stem Cells and Development. 23(3). 245–261. 21 indexed citations
17.
McGrail, Daniel J., Kathleen M. McAndrews, & Michelle Dawson. (2012). Biomechanical analysis predicts decreased human mesenchymal stem cell function before molecular differences. Experimental Cell Research. 319(5). 684–696. 23 indexed citations
18.
Kozin, Sergey V., Walid S. Kamoun, Yuhui Huang, et al.. (2010). Recruitment of Myeloid but not Endothelial Precursor Cells Facilitates Tumor Regrowth after Local Irradiation. Cancer Research. 70(14). 5679–5685. 234 indexed citations
19.
Tang, Benjamin C., Michelle Dawson, Samuel K. Lai, et al.. (2009). Biodegradable polymer nanoparticles that rapidly penetrate the human mucus barrier. Proceedings of the National Academy of Sciences. 106(46). 19268–19273. 360 indexed citations
20.
Dawson, Michelle, Denis Wirtz, & Justin Hanes. (2003). Enhanced Viscoelasticity of Human Cystic Fibrotic Sputum Correlates with Increasing Microheterogeneity in Particle Transport. Journal of Biological Chemistry. 278(50). 50393–50401. 242 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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