Liujiang Song

1.2k citations
32 papers · 816 indexed · h-index 14
Topics
Virus-based gene therapy research (16 papers)RNA Interference and Gene Delivery (7 papers)Herpesvirus Infections and Treatments (7 papers)
Partner nations
United StatesChinaIndia

In The Last Decade

Liujiang Song

32 papers receiving 809 citations

Peers

Liujiang Song
Comparison fields: 5 of 94
  • Molecular Biology 457
  • Genetics 262
  • Oncology 192
  • Cancer Research 133
  • Radiology, Nuclear Medicine and Imaging 101
Replace Beatriz García with:
Beatriz García Spain
Yahya Tamimi Oman
David Sherris United States
Meixin Liu China
Apollina Goel United States
Manuela Piazzi Italy
Patrick Gammell Ireland
Saroj K. Basak United States
Chiung‐Fang Chang Taiwan
Liujiang Song relative to Beatriz García Spain Beatriz García's profile →
Citations per field
00.5×3.9×
Beatriz García · 1×
Citations per year

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
#WorkIndexed citations
1 9
2 2
3 1
4 3
5 13
6 2
7 13
8
Intracorneal sequential dosing of AAV-ArsB clears corneal opacity associated with mucopolysaccharidosis VI in a feline model
2
9
Prevention of experimental autoimmune uveitis by intravitreal AAV-EqIL-10
3
10 14
11 11
12
Efficient Corneal Gene Delivery Following Subconjunctival Administrations of AAV Vectors
1
13 20
14 40
15 29
16 290
17 12
18 43
19 32
20 1

About Liujiang Song

Liujiang Song is a scholar working on Genetics, Physiology and Ophthalmology, having authored 32 papers that have together received 816 indexed citations. Recurring topics across this work include Virus-based gene therapy research (16 papers), RNA Interference and Gene Delivery (7 papers) and Herpesvirus Infections and Treatments (7 papers). The work is most often cited by research in Genetics (262 citations), Cancer Research (133 citations) and Oncology (192 citations). Liujiang Song has collaborated with scholars based in United States, China and India. Frequent co-authors include Guangchun He, Xiyun Deng, Hui Yao, Shichao Yan, Chao Chen, Thomas J. Rosol, Matthew L. Hirsch, Brian C. Gilger, Mengqun Tan and Chen Ling. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.

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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