scispace - formally typeset
M

Min Chen

Researcher at Aalto University

Publications -  256
Citations -  6618

Min Chen is an academic researcher from Aalto University. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 34, co-authored 216 publications receiving 5209 citations. Previous affiliations of Min Chen include University of Texas Southwestern Medical Center & Xi'an Jiaotong-Liverpool University.

Papers
More filters
Journal ArticleDOI

Black Phosphorus Nanosheet‐Based Drug Delivery System for Synergistic Photodynamic/Photothermal/Chemotherapy of Cancer

TL;DR: The synergistic photodynamic/photothermal/chemotherapy makes BP-based drug delivery system a multifunctional nanomedicine platform, and the intrinsic photothermal and photodynamic effects of BP enhance the antitumor activities.
Journal ArticleDOI

Cell-free Formation of RNA Granules: Bound RNAs Identify Features and Components of Cellular Assemblies

TL;DR: Deep sequencing of the associated RNAs revealed an enrichment for mRNAs known to be recruited to neuronal granules used for dendritic transport and localized translation at synapses and an enrichment in binding sites for known granule-associated proteins.
Journal ArticleDOI

Evolutionary history of the angiosperm flora of China

TL;DR: The analyses indicate that eastern China represents a floristic museum, and western China an evolutionary cradle, for herbaceous genera; eastern China has served as both a museum and a cradle for woody genera, and areas of high species richness and phylogenetic diversity, and provide a foundation on which to build conservation efforts in China.
Journal ArticleDOI

Differential Roles of NMDA Receptor Subtypes in Ischemic Neuronal Cell Death and Ischemic Tolerance

TL;DR: It is found that NR2A- and NR2B-containing NMDA receptor subtypes play differential roles in isChemic neuronal death and ischemic tolerance, suggesting attractive new strategies for the development of drugs for patients with stroke.
Journal ArticleDOI

Comparing Statistical Methods for Constructing Large Scale Gene Networks

TL;DR: Different methods in terms of sensitivity and specificity in identifying the true connections and the hub genes, the ease of use, and computational speed are compared to aid in choosing statistical methods for constructing large scale GRNs.