Upload Records Snowball Search Search OpenAlex
About the database ScholarIQanswers from OpenAlex & ORCID
How has Liyun He's publication output changed over time?
ScholarIQpublication output · 2011–2019
Output declined50% over the shown period — from 2 works in 2011 to 1 in 2019.
2
1
1
2
1
2
1
2011201220142015201720182019
What are the most-cited papers on Liyun He?
ScholarIQmost cited works
Function and evolution of Magnaporthe oryzae avirulence gene AvrPib responding to the rice blast resistance gene Pib
Shulin Zhang, Ling Wang, Weihuai Wu, Liyun He, Xianfeng Yang, Qinghua Pan
Scientific Reports. 2015152 CitationsOPEN ACCESS
Data processing and analysis in real‐world traditional Chinese medicine clinical data: challenges and approaches
Baoyan Liu, Xuezhong Zhou, Yinhui Wang, Jingqing Hu, Liyun He, Runshun Zhang, Shibo Chen, Yufeng Guo
S55189604. 201156 Citations
Systematic review for geo-authentic Lonicerae Japonicae Flos
Xingyue Yang, Yali Liu, Aijuan Hou, Yang Yang, Xin Tian, Liyun He
S4210177422. 201747 CitationsOPEN ACCESS
Clinical Features for Mild Hand, Foot and Mouth Disease in China
Baoyan Liu, Lin Luo, Shiyan Yan, Tiancai Wen, Wenjing Bai, Hongjiao Li, Guoliang Zhang, Xiaoying Lü, Yan Liu, Liyun He
PLoS ONE. 201539 CitationsOPEN ACCESS
Clinical phenotype network: the underlying mechanism for personalized diagnosis and treatment of traditional Chinese medicine
Xuezhong Zhou, Yubing Li, Yonghong Peng, Jingqing Hu, Runshun Zhang, Liyun He, Yinghui Wang, Lijie Jiang, Shiyan Yan, Peng Li, Qi Xie, Baoyan Liu
S4210177422. 201434 Citations
Related on ScholarIQ
Chinese Academy of Medical Sciences & Peking Union Medical College
Institution
Function and evolution of Magnaporthe oryzae avirulence gene AvrPib responding to the rice blast resistance gene Pib
Paper
Data processing and analysis in real‐world traditional Chinese medicine clinical data: challenges and approaches
Paper
Systematic review for geo-authentic Lonicerae Japonicae Flos
Paper
Clinical Features for Mild Hand, Foot and Mouth Disease in China
Paper
Clinical phenotype network: the underlying mechanism for personalized diagnosis and treatment of traditional Chinese medicine
Paper