Liujiang Song

1.2k total citations
32 papers, 816 citations indexed

About

Liujiang Song is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Liujiang Song has authored 32 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 16 papers in Molecular Biology and 8 papers in Epidemiology. Recurrent topics in Liujiang Song's work include Virus-based gene therapy research (16 papers), RNA Interference and Gene Delivery (7 papers) and Herpesvirus Infections and Treatments (7 papers). Liujiang Song is often cited by papers focused on Virus-based gene therapy research (16 papers), RNA Interference and Gene Delivery (7 papers) and Herpesvirus Infections and Treatments (7 papers). Liujiang Song collaborates with scholars based in United States, China and India. Liujiang Song's co-authors include Guangchun He, Xiyun Deng, Hui Yao, Shichao Yan, Thomas J. Rosol, Chao Chen, Matthew L. Hirsch, Brian C. Gilger, Chen Ling and Arun Srivastava and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

In The Last Decade

Liujiang Song

32 papers receiving 809 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liujiang Song United States 14 457 262 192 133 101 32 816
Apollina Goel United States 18 639 1.4× 150 0.6× 258 1.3× 110 0.8× 68 0.7× 23 1.1k
Irina Perdivara United States 14 499 1.1× 134 0.5× 78 0.4× 87 0.7× 92 0.9× 18 793
Marcio C. Bajgelman Brazil 18 407 0.9× 123 0.5× 125 0.7× 108 0.8× 23 0.2× 45 735
Octavio Caba Spain 19 436 1.0× 71 0.3× 253 1.3× 157 1.2× 37 0.4× 52 946
Alexei Shir Israel 12 547 1.2× 100 0.4× 148 0.8× 79 0.6× 56 0.6× 20 738
Jay S. Lillquist United States 15 499 1.1× 131 0.5× 160 0.8× 80 0.6× 106 1.0× 23 857
Martin Loignon Canada 17 604 1.3× 79 0.3× 272 1.4× 117 0.9× 76 0.8× 29 866
Beatriz García Spain 19 468 1.0× 68 0.3× 165 0.9× 98 0.7× 61 0.6× 43 920
Sergey A. Kaliberov United States 15 368 0.8× 213 0.8× 304 1.6× 123 0.9× 29 0.3× 25 825

Countries citing papers authored by Liujiang Song

Since Specialization
Citations

This map shows the geographic impact of Liujiang Song'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 Liujiang Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liujiang Song more than expected).

Fields of papers citing papers by Liujiang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liujiang Song. 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 Liujiang Song. The network helps show where Liujiang Song may publish in the future.

Co-authorship network of co-authors of Liujiang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Liujiang Song. A scholar is included among the top collaborators of Liujiang Song 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 Liujiang Song. Liujiang Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Song, Liujiang, Tomoko Hasegawa, Nolan J. Brown, et al.. (2025). AAV vector transduction restriction and attenuated toxicity in hESCs via a rationally designed inverted terminal repeat. Nucleic Acids Research. 53(3). 2 indexed citations
2.
Suárez-Amarán, Lester, et al.. (2025). AAV vector development, back to the future. Molecular Therapy. 33(5). 1903–1936. 9 indexed citations
3.
Salmon, Jacklyn H., et al.. (2023). AAV-mediated expression of HLA-G for the prevention of experimental ocular graft vs. host disease. Molecular Therapy — Methods & Clinical Development. 29. 227–235. 1 indexed citations
4.
Song, Liujiang, et al.. (2023). Chemical Epigenetic Regulation of Adeno-Associated Virus Delivered Transgenes. Human Gene Therapy. 34(17-18). 947–957. 3 indexed citations
5.
Bower, Jacquelyn J., et al.. (2022). Subconjunctival Administration of Adeno-associated Virus Vectors in Small Animal Models. Journal of Visualized Experiments. 2 indexed citations
6.
Crabtree, Elizabeth, Sara M. Smith, Jacklyn H. Salmon, et al.. (2022). Inhibition of experimental autoimmune uveitis by intravitreal AAV-Equine-IL10 gene therapy. PLoS ONE. 17(8). e0270972–e0270972. 13 indexed citations
7.
Gilger, Brian C., et al.. (2021). Intracorneal sequential dosing of AAV-ArsB clears corneal opacity associated with mucopolysaccharidosis VI in a feline model. Investigative Ophthalmology & Visual Science. 62(8). 801–801. 2 indexed citations
8.
Crabtree, Elizabeth, et al.. (2021). Prevention of experimental autoimmune uveitis by intravitreal AAV-EqIL-10. Investigative Ophthalmology & Visual Science. 62(8). 994–994. 3 indexed citations
9.
Song, Liujiang, R. Jude Samulski, & Matthew L. Hirsch. (2020). Adeno-Associated Virus Vector Mobilization, Risk Versus Reality. Human Gene Therapy. 31(19-20). 1054–1067. 14 indexed citations
10.
Song, Liujiang, et al.. (2020). Ocular Tolerability and Immune Response to Corneal Intrastromal AAV-IDUA Gene Therapy in New Zealand White Rabbits. Molecular Therapy — Methods & Clinical Development. 18. 24–32. 11 indexed citations
11.
Crabtree, Elizabeth, et al.. (2019). Efficient Corneal Gene Delivery Following Subconjunctival Administrations of AAV Vectors. Investigative Ophthalmology & Visual Science. 60(9). 3380–3380. 1 indexed citations
12.
Crabtree, Elizabeth, Liujiang Song, Jacquelyn J. Bower, et al.. (2019). AAV-mediated expression of HLA-G1/5 reduces severity of experimental autoimmune uveitis. Scientific Reports. 9(1). 19864–19864. 20 indexed citations
13.
Gilger, Brian C., Elizabeth Crabtree, Liujiang Song, et al.. (2019). A Fixed-Depth Microneedle Enhances Reproducibility and Safety for Corneal Gene Therapy. Cornea. 39(3). 362–369. 8 indexed citations
14.
Song, Liujiang, et al.. (2018). Serotype survey of AAV gene delivery via subconjunctival injection in mice. Gene Therapy. 25(6). 402–414. 40 indexed citations
15.
Brown, Nolan J., et al.. (2017). Adeno-Associated Virus Vectors and Stem Cells: Friends or Foes?. Human Gene Therapy. 28(6). 450–463. 29 indexed citations
16.
Yao, Hui, Guangchun He, Shichao Yan, et al.. (2016). Triple-negative breast cancer: is there a treatment on the horizon?. Oncotarget. 8(1). 1913–1924. 290 indexed citations
17.
He, Guangchun, Hui Yao, Liujiang Song, et al.. (2015). TGF-β Induces Degradation of PTHrP through Ubiquitin-Proteasome System in Hepatocellular Carcinoma. Journal of Cancer. 6(6). 511–518. 12 indexed citations
18.
19.
Wang, Yuan, Chen Ling, Chen Ling, et al.. (2012). Limitations of Encapsidation of Recombinant Self-Complementary Adeno-Associated Viral Genomes in Different Serotype Capsids and Their Quantitation. Human Gene Therapy Methods. 23(4). 225–233. 32 indexed citations
20.
Tian, Jing, Feng Wang, Jinfeng Xue, et al.. (2011). Recombinant AAV2-mediated β-globin expression in human fetal hematopoietic cells from the aborted fetuses with β-thalassemia major. International Journal of Hematology. 93(6). 691–699. 1 indexed citations

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.

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