Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Jingxian Zhao and Zhaoyong Zhang.
Connection Strength

0.923
  1. Potent prophylactic and therapeutic efficacy of recombinant human ACE2-Fc against SARS-CoV-2 infection in vivo. Cell Discov. 2021 Aug 12; 7(1):65.
    View in: PubMed
    Score: 0.240
  2. Narrative review of the novel coronavirus SARS-CoV-2: update on genomic characteristics, transmissions and animal model. J Thorac Dis. 2020 Dec; 12(12):7454-7466.
    View in: PubMed
    Score: 0.229
  3. Multi-platform omics analysis reveals molecular signature for COVID-19 pathogenesis, prognosis and drug target discovery. Signal Transduct Target Ther. 2021 04 15; 6(1):155.
    View in: PubMed
    Score: 0.059
  4. Mapping and role of T cell response in SARS-CoV-2-infected mice. J Exp Med. 2021 04 05; 218(4).
    View in: PubMed
    Score: 0.059
  5. Intra-host variation and evolutionary dynamics of SARS-CoV-2 populations in COVID-19 patients. Genome Med. 2021 02 22; 13(1):30.
    View in: PubMed
    Score: 0.058
  6. Population Bottlenecks and Intra-host Evolution During Human-to-Human Transmission of SARS-CoV-2. Front Med (Lausanne). 2021; 8:585358.
    View in: PubMed
    Score: 0.058
  7. Kinetics of viral load and antibody response in relation to COVID-19 severity. J Clin Invest. 2020 10 01; 130(10):5235-5244.
    View in: PubMed
    Score: 0.057
  8. Generation of a Broadly Useful Model for COVID-19 Pathogenesis, Vaccination, and Treatment. Cell. 2020 08 06; 182(3):734-743.e5.
    View in: PubMed
    Score: 0.055
  9. Complete Genome Sequences of Five Human Coronavirus NL63 Strains Causing Respiratory Illness in Hospitalized Children in China. Microbiol Resour Announc. 2020 Feb 20; 9(8).
    View in: PubMed
    Score: 0.054
  10. Discovery of a subgenotype of human coronavirus NL63 associated with severe lower respiratory tract infection in China, 2018. Emerg Microbes Infect. 2020; 9(1):246-255.
    View in: PubMed
    Score: 0.054
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.