Quantifying cell fate decisions for differentiation and reprogramming of a human stem cell network: landscape and biological paths C Li, J Wang PLoS computational biology 9 (8), e1003165, 2013 | 195 | 2013 |
Landscape and flux reveal a new global view and physical quantification of mammalian cell cycle C Li, J Wang Proceedings of the National Academy of Sciences 111 (39), 14130-14135, 2014 | 132 | 2014 |
Potential and flux landscapes quantify the stability and robustness of budding yeast cell cycle network J Wang, C Li, E Wang Proceedings of the National Academy of Sciences 107 (18), 8195, 2010 | 120 | 2010 |
Quantifying Waddington landscapes and paths of non-adiabatic cell fate decisions for differentiation, reprogramming and transdifferentiation C Li, J Wang Journal of The Royal Society Interface 10 (89), 20130787, 2013 | 86 | 2013 |
Quantifying the underlying landscape and paths of cancer C Li, J Wang Journal of The Royal Society Interface 11 (100), 20140774, 2014 | 82 | 2014 |
Quantifying the landscape for development and cancer from a core cancer stem cell circuit C Li, J Wang Cancer research 75 (13), 2607-2618, 2015 | 77 | 2015 |
A landscape view on the interplay between EMT and cancer metastasis C Li, G Balazsi NPJ systems biology and applications 4 (1), 34, 2018 | 75 | 2018 |
Quantifying the landscape and kinetic paths for epithelial–mesenchymal transition from a core circuit C Li, T Hong, Q Nie Physical Chemistry Chemical Physics 18 (27), 17949-17956, 2016 | 57 | 2016 |
An enriched network motif family regulates multistep cell fate transitions with restricted reversibility Y Ye, X Kang, J Bailey, C Li, T Hong PLoS computational biology 15 (3), e1006855, 2019 | 40 | 2019 |
A dimension reduction approach for energy landscape: identifying intermediate states in metabolism‐EMT network X Kang, C Li Advanced Science 8 (10), 2003133, 2021 | 32 | 2021 |
Potential flux landscapes determine the global stability of a Lorenz chaotic attractor under intrinsic fluctuations C Li, E Wang, J Wang The Journal of Chemical Physics 136 (19), 2012 | 29 | 2012 |
Exposing the underlying relationship of cancer metastasis to metabolism and epithelial-mesenchymal transitions X Kang, J Wang, C Li Iscience 21, 754-772, 2019 | 28 | 2019 |
Landscape and flux decomposition for exploring global natures of non-equilibrium dynamical systems under intrinsic statistical fluctuations C Li, E Wang, J Wang Chemical Physics Letters, 2011 | 28 | 2011 |
Identifying the optimal anticancer targets from the landscape of a cancer–immunity interaction network C Li Physical Chemistry Chemical Physics 19 (11), 7642-7651, 2017 | 27 | 2017 |
Landscape, flux, correlation, resonance, coherence, stability, and key network wirings of stochastic circadian oscillation C Li, E Wang, J Wang Biophysical journal 101 (6), 1335-1344, 2011 | 27 | 2011 |
Landscape and kinetic path quantify critical transitions in epithelial-mesenchymal transition J Lang, Q Nie, C Li Biophysical Journal 120 (20), 4484-4500, 2021 | 23 | 2021 |
Uncovering the rules for protein–protein interactions from yeast genomic data J Wang, C Li, E Wang, X Wang Proceedings of the National Academy of Sciences 106 (10), 3752, 2009 | 23 | 2009 |
Potential Landscape and Probabilistic Flux of a Predator Prey Network C Li, E Wang, J Wang PloS one 6 (3), e17888, 2011 | 22 | 2011 |
Quantitative landscapes reveal trajectories of cell-state transitions associated with drug resistance in melanoma M Pillai, Z Chen, MK Jolly, C Li iScience 25, 105499, 2022 | 15 | 2022 |
Structure and function in artificial, zebrafish and human neural networks P Ji, Y Wang, T Peron, C Li, J Nagler, J Du Physics of Life Reviews 45, 74-111, 2023 | 14 | 2023 |