S
Shaomin Yan
Researcher at Chinese Academy of Sciences
Publications - 110
Citations - 2393
Shaomin Yan is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Amino acid & Influenza A virus. The author has an hindex of 17, co-authored 98 publications receiving 2303 citations. Previous affiliations of Shaomin Yan include University of Udine & Yahoo!.
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Journal ArticleDOI
Evidence That Human Cardiac Myocytes Divide after Myocardial Infarction
Antonio Paolo Beltrami,Konrad Urbanek,Jan Kajstura,Shaomin Yan,Nicoletta Finato,Rossana Bussani,Bernardo Nadal-Ginard,Silvestri F,Annarosa Leri,Carlo Alberto Beltrami,Piero Anversa +10 more
TL;DR: The results challenge the dogma that the adult heart is a postmitotic organ and indicate that the regeneration of myocytes may be a critical component of the increase in muscle mass of the myocardium.
Randomness in the Primary Structure of Protein: Methods and Implications
Guang Wu,Shaomin Yan +1 more
TL;DR: Three approaches to analyse protein primary structure are explored using the use of random principles, which can be used to quantitatively analyse the primary structure of intra-protein as well as inter-proteins and get more insights into the mechanisms of protein construction, mutation, and evolutionary process.
Journal ArticleDOI
Secretory pathway of cellulase: a mini-review
Shaomin Yan,Guang Wu +1 more
TL;DR: This mini-review addresses the subcellular locations of cellulase in different organisms, discusses the secretory pathways of cellulases in different organism, and examines the secretORY mechanisms of cellulased.
Journal ArticleDOI
Reorganization of gene network for degradation of polycyclic aromatic hydrocarbons (PAHs) in Pseudomonas aeruginosa PAO1 under several conditions
Shaomin Yan,Guang Wu +1 more
TL;DR: Network analysis is applied to investigating how 46 PAH degradation genes reorganized among 5549 genes in P. aeruginosa PAO1 under nine different conditions using publicly available gene coexpression data from GEO to shed light on understanding of cooperative mechanisms ofPAH degradation from the level of entire genes in an organism.
Journal ArticleDOI
SO 2 Emissions in China – Their Network and Hierarchical Structures
Shaomin Yan,Guang Wu +1 more
TL;DR: Network analysis is used to analyze the SO2 emissions from power generation, industrial, residential and transportation sectors in China for 2008 and 2010, which are recently available from 1744 ground surface monitoring stations and show that theSO2 emissions were highly individualized as small-sized clusters and Hierarchical structure was obtained.