Sikai Ling is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases.
According to data from OpenAlex, Sikai Ling has authored 5 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Epidemiology and 1 paper in Infectious Diseases. Recurrent topics in Sikai Ling's work include CRISPR and Genetic Engineering (3 papers), Retinal Development and Disorders (2 papers) and Herpesvirus Infections and Treatments (2 papers). Sikai Ling is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Retinal Development and Disorders (2 papers) and Herpesvirus Infections and Treatments (2 papers). Sikai Ling collaborates with scholars based in China, Denmark and Sweden. Sikai Ling's co-authors include Yujia Cai, Jiaxu Hong, Di Yin, Søren R. Paludan, Yao Dai, Dawei Wang, Xujiao Zhou, Hao Jiang, Xiaoqing Qian and Xiaodong Sun and has published in prestigious journals such as Nature Biotechnology, Nature Nanotechnology and Cell stem cell.
In The Last Decade
Sikai Ling
5 papers
receiving
341 citations
Hit Papers
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Targeting herpes simplex virus with CRISPR–Cas9 cures herpetic stromal keratitis in mice
2021122 citationsDi Yin, Sikai Ling et al.Nature Biotechnologyprofile →
Modified lentiviral globin gene therapy for pediatric β0/β0 transfusion-dependent β-thalassemia: A single-center, single-arm pilot trial
202441 citationsSikai Ling, Dawei Wang et al.Cell stem cellprofile →
Customizable virus-like particles deliver CRISPR–Cas9 ribonucleoprotein for effective ocular neovascular and Huntington’s disease gene therapy
202518 citationsSikai Ling, Xue Zhang et al.Nature Nanotechnologyprofile →
Peers
Sikai Ling
Comparison fields: 5 of 54
Molecular Biology268
Genetics85
Epidemiology54
Ophthalmology38
Public Health, Environmental and Occupational Health32
This map shows the geographic impact of Sikai Ling's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sikai Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sikai Ling more than expected).
This network shows the impact of papers produced by Sikai Ling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sikai Ling. The network helps show where Sikai Ling may publish in the future.
Co-authorship network of co-authors of Sikai Ling
This figure shows the co-authorship network connecting the top 25 collaborators of Sikai Ling.
A scholar is included among the top collaborators of Sikai Ling based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Sikai Ling. Sikai Ling is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
5 of 5 papers shown
#
Work
Indexed citations
1
Customizable virus-like particles deliver CRISPR–Cas9 ribonucleoprotein for effective ocular neovascular and Huntington’s disease gene therapy breakdown →
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.