Shuliang Chen

1.8k total citations
33 papers, 1.4k citations indexed

About

Shuliang Chen is a scholar working on Molecular Biology, Virology and Immunology. According to data from OpenAlex, Shuliang Chen has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Virology and 9 papers in Immunology. Recurrent topics in Shuliang Chen's work include CRISPR and Genetic Engineering (13 papers), HIV Research and Treatment (9 papers) and interferon and immune responses (8 papers). Shuliang Chen is often cited by papers focused on CRISPR and Genetic Engineering (13 papers), HIV Research and Treatment (9 papers) and interferon and immune responses (8 papers). Shuliang Chen collaborates with scholars based in China, United States and Finland. Shuliang Chen's co-authors include Deyin Guo, Qiaoqiao Xiao, Yu Chen, Xiao Yu, Panpan Hou, Chunmei Li, Wei Hou, Li Wu, Ruidong Hao and Xing Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Immunology and Oncogene.

In The Last Decade

Shuliang Chen

33 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuliang Chen China 19 1.0k 278 263 219 217 33 1.4k
Rafal Kaminski United States 18 1.2k 1.1× 105 0.4× 497 1.9× 196 0.9× 318 1.5× 36 1.6k
Ying Dang United States 21 961 1.0× 345 1.2× 795 3.0× 482 2.2× 133 0.6× 42 1.8k
Christian L. Boutwell United States 13 507 0.5× 281 1.0× 395 1.5× 246 1.1× 67 0.3× 18 1.0k
Andreas S. Puschnik United States 18 1.2k 1.2× 372 1.3× 158 0.6× 573 2.6× 427 2.0× 27 2.1k
Fengwen Xu China 17 529 0.5× 568 2.0× 357 1.4× 299 1.4× 107 0.5× 33 1.2k
Qinghua Pan Canada 17 617 0.6× 744 2.7× 851 3.2× 441 2.0× 180 0.8× 35 1.6k
Kristine E. Yoder United States 18 899 0.9× 80 0.3× 379 1.4× 299 1.4× 52 0.2× 40 1.4k
Vanessa Taupin United States 12 597 0.6× 256 0.9× 216 0.8× 128 0.6× 49 0.2× 15 1.0k
Adam W. Whisnant Germany 13 743 0.7× 250 0.9× 83 0.3× 89 0.4× 64 0.3× 19 1.0k
Abdullah Ely South Africa 20 888 0.9× 162 0.6× 74 0.3× 278 1.3× 61 0.3× 54 1.3k

Countries citing papers authored by Shuliang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shuliang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuliang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shuliang Chen. A scholar is included among the top collaborators of Shuliang Chen 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 Shuliang Chen. Shuliang Chen 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.
Lei, Yao, Xinyang Zhang, Xiaoqing Li, et al.. (2025). circAFF2 promotes the development of AML by binding to PML mRNA. Oncogene. 44(18). 1234–1244. 1 indexed citations
2.
Zhang, Weihao, Qi Cheng, Jussi Hepojoki, et al.. (2024). SARS-CoV-2 NSP16 promotes IL-6 production by regulating the stabilization of HIF-1α. Cellular Signalling. 124. 111387–111387. 2 indexed citations
3.
Zhan, Jianbo, Man‐Qing Liu, Bin Hu, et al.. (2023). Diversity and genetic characterization of orthohantavirus from small mammals and humans during 2012–2022 in Hubei Province, Central China. Acta Tropica. 249. 107046–107046. 4 indexed citations
4.
Zhang, Zhihao, Wei Hou, & Shuliang Chen. (2022). Updates on CRISPR-based gene editing in HIV-1/AIDS therapy. Virologica Sinica. 37(1). 1–10. 17 indexed citations
5.
Phillips, Stacia, Alice Baek, Sanggu Kim, Shuliang Chen, & Li Wu. (2022). Protocol for the generation of HIV-1 genomic RNA with altered levels of N6-methyladenosine. STAR Protocols. 3(3). 101616–101616. 6 indexed citations
6.
Yang, Jun, Ruyi He, Xiao Yu, et al.. (2020). PfAgo-based detection of SARS-CoV-2. Biosensors and Bioelectronics. 177. 112932–112932. 95 indexed citations
7.
Hou, Panpan, Penghui Jia, Lan Liu, et al.. (2020). A novel selective autophagy receptor, CCDC50, delivers K63 polyubiquitination-activated RIG-I/MDA5 for degradation during viral infection. Cell Research. 31(1). 62–79. 77 indexed citations
8.
Liang, Jin, Shuliang Chen, Xianhao Liu, et al.. (2020). Genome editing of CCR5 by AsCpf1 renders CD4+T cells resistance to HIV-1 infection. Cell & Bioscience. 10(1). 85–85. 22 indexed citations
9.
10.
Liu, Shuai, Qiankun Wang, Xiao Yu, et al.. (2018). HIV-1 inhibition in cells with CXCR4 mutant genome created by CRISPR-Cas9 and piggyBac recombinant technologies. Scientific Reports. 8(1). 8573–8573. 30 indexed citations
11.
Wang, Qiankun, Shuai Liu, Zhepeng Liu, et al.. (2018). Genome scale screening identification of SaCas9/gRNAs for targeting HIV-1 provirus and suppression of HIV-1 infection. Virus Research. 250. 21–30. 37 indexed citations
12.
Wang, Qiankun, Shuliang Chen, Qiaoqiao Xiao, et al.. (2017). Genome modification of CXCR4 by Staphylococcus aureus Cas9 renders cells resistance to HIV-1 infection. Retrovirology. 14(1). 51–51. 37 indexed citations
13.
Chen, Shiyou, Xiaodan Yang, Yafang Shang, et al.. (2017). Immune regulator ABIN1 suppresses HIV-1 transcription by negatively regulating the ubiquitination of Tat. Retrovirology. 14(1). 12–12. 15 indexed citations
14.
Liu, Zhepeng, Shuliang Chen, Qiankun Wang, et al.. (2017). Genome editing of the HIV co-receptors CCR5 and CXCR4 by CRISPR-Cas9 protects CD4+ T cells from HIV-1 infection. Cell & Bioscience. 7(1). 47–47. 127 indexed citations
15.
Chen, Jun, Xiaoyun Wu, Shi‐You Chen, et al.. (2016). Ubiquitin ligase Fbw7 restricts the replication of hepatitis C virus by targeting NS5B for ubiquitination and degradation. Biochemical and Biophysical Research Communications. 470(3). 697–703. 14 indexed citations
16.
Hou, Panpan, Shuliang Chen, Shilei Wang, et al.. (2015). Genome editing of CXCR4 by CRISPR/cas9 confers cells resistant to HIV-1 infection. Scientific Reports. 5(1). 15577–15577. 170 indexed citations
17.
Xiao, Yu, Shuliang Chen, Panpan Hou, et al.. (2015). VHL negatively regulates SARS coronavirus replication by modulating nsp16 ubiquitination and stability. Biochemical and Biophysical Research Communications. 459(2). 270–276. 12 indexed citations
18.
Chen, Ke, Yu Gan, Kiranmai Gumireddy, et al.. (2015). ZBRK1, a novel tumor suppressor, activates VHL gene transcription through formation of a complex with VHL and p300 in renal cancer. Oncotarget. 6(9). 6959–6976. 22 indexed citations
19.
Chen, Shuliang, et al.. (2013). The sumoylation of zinc-fingers and homeoboxes 1 (ZHX1) by ubc9 regulates its stability and transcriptional repression activity. Journal of Cellular Biochemistry. 114(10). 2323–2333. 16 indexed citations
20.
Chen, Ke, Shuliang Chen, Chunhua Huang, Hanhua Cheng, & Rongjia Zhou. (2013). TCTP increases stability of hypoxia‐inducible factor 1α by interaction with and degradation of the tumour suppressor VHL. Biology of the Cell. 105(5). 208–218. 22 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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