| Cell adhesiveness serves as a biophysical marker for metastatic potential P Beri, A Popravko, B Yeoman, A Kumar, K Chen, E Hodzic, A Chiang, ... Cancer research 80 (4), 901-911, 2020 | 66 | 2020 |
| Adhesion strength and contractility enable metastatic cells to become adurotactic B Yeoman, G Shatkin, P Beri, A Banisadr, P Katira, AJ Engler Cell reports 34 (10), 108816, 2021 | 61 | 2021 |
| Computational models of migration modes improve our understanding of metastasis G Shatkin, B Yeoman, K Birmingham, P Katira, AJ Engler APL bioengineering 4 (4), 041505, 2020 | 21 | 2020 |
| EGFRvIII uses intrinsic and extrinsic mechanisms to reduce glioma adhesion and increase migration A Banisadr, M Eick, P Beri, AD Parisian, B Yeoman, JK Placone, ... Journal of cell science 133 (24), jcs247189, 2020 | 14 | 2020 |
| To lead or to herd: optimal strategies for 3D collective migration of cell clusters TA Collins, BM Yeoman, P Katira Biomechanics and modeling in mechanobiology 19 (5), 1551-1564, 2020 | 9 | 2020 |
| High shear stress enhances endothelial permeability in the presence of the risk haplotype at 9p21. 3 EL Teng, EM Masutani, B Yeoman, J Fung, R Lian, B Ngo, A Kumar, ... APL bioengineering 5 (3), 036102, 2021 | 7 | 2021 |
| Stromal Cell Adhesion Predicts Severity of Metastatic Disease K Birmingham, B Yeoman, P Beri, J Tuler, I Williams, A Kumar, S Klein, ... | | 2022 |
| A stochastic algorithm for accurately predicting path persistence of cells migrating in 3D matrix environments (vol 13, e0207216, 2018) BM Yeoman, P Katira PLOS ONE 14 (2), 2019 | | 2019 |
