基本信息
views: 150

Bio
His laboratory research focuses on the biology of immune inhibitory receptors including leukocyte Ig-like receptor subfamily B (LILRB) in cancer immunology and hematopoietic cells. He is also accustomed to working at the intersection of basic research and its clinical applications; anti-LILRB2 and anti-LILRB4 blocking antibodies discovered by his team/collaborators are in clinical trials for treatment of myeloid leukemia and solid cancers. He published 119 peer-reviewed publications in hematopoietic and cancer research fields. He was a recipient of several awards, including American Society of Hematology Junior Faculty Scholar Award, Leukemia & Lymphoma Society Scholar Award, and Royan International Research Award. He has trained 8 graduate students and 27 post-doctoral researchers. Many of his former postdoc trainees acquired faculty positions.
Research Interests
Papers共 54 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Yubo He,Chengcheng Zhang, Lingxiao Tan,Mi Deng, Xiaoye Liu, Ryan Huang, Xing Yang,Jingjing Xie, Qi Lou, Meng Fang, Caroline Smith, Samuel John, Wei Xiong, Xin Li,Cheryl Lewis,Jade Homsi, Ankit Gupta,Ningyan Zhang,Zhiqiang An, Cheng
Cancer immunology researchno. 6 (2025): 821-835
crossref(2024)
Research square (2024)
Antibody Therapeuticsno. 2 (2024): 157-163
Nucleic Acids Research (2024)
ANTIBODY THERAPEUTICSno. 1 (2023): 13-27
crossref(2023)
Ryan Huang,Xiaoye Liu,Jaehyup Kim,Hui Deng,Mi Deng,Xun Gui,Heyu Chen,Guojin Wu,Wei Xiong,Jingjing Xie,Cheryl Lewis,Jade Homsi, Xing Yang,Chengcheng Zhang,Yubo He, Qi Lou, Caroline Smith,Samuel John,Ningyan Zhang,Zhiqiang An, Cheng
Cancer Immunology Researchno. 3 (2023): 350-362
Cancer Researchno. 12_Supplement (2022): 601-601
Load More
Author Statistics
#Papers: 54
#Citation: 1485
H-Index: 21
G-Index: 36
Sociability: 5
Diversity: 2
Activity: 9
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn