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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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Evidence That Human Cardiac Myocytes Divide after Myocardial Infarction

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

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.
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Secretory pathway of cellulase: a mini-review

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.
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Reorganization of gene network for degradation of polycyclic aromatic hydrocarbons (PAHs) in Pseudomonas aeruginosa PAO1 under several conditions

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.
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SO 2 Emissions in China – Their Network and Hierarchical Structures

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.