Chao Liang

4.9k total citations · 1 hit paper
83 papers, 2.4k citations indexed

About

Chao Liang is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Chao Liang has authored 83 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 16 papers in Oncology and 15 papers in Biomedical Engineering. Recurrent topics in Chao Liang's work include RNA Interference and Gene Delivery (11 papers), Advanced biosensing and bioanalysis techniques (11 papers) and Bone Metabolism and Diseases (10 papers). Chao Liang is often cited by papers focused on RNA Interference and Gene Delivery (11 papers), Advanced biosensing and bioanalysis techniques (11 papers) and Bone Metabolism and Diseases (10 papers). Chao Liang collaborates with scholars based in China, Hong Kong and United States. Chao Liang's co-authors include Aiping Lü, Ge Zhang, Jie Huang, Xuekun Fu, Bao‐Ting Zhang, Daogang Guan, Lei Dang, Yühong Huang, Zheng Li and Xinxin Chen and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Nature Genetics.

In The Last Decade

Chao Liang

78 papers receiving 2.4k citations

Hit Papers

Promising Therapeutic Targets for Treatment of Rheumatoid... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Liang China 30 1.5k 474 377 315 282 83 2.4k
Stephen R. Pennington Ireland 31 1.5k 1.0× 273 0.6× 295 0.8× 244 0.8× 411 1.5× 133 3.0k
Tokuhiro Chano Japan 31 1.4k 1.0× 542 1.1× 498 1.3× 170 0.5× 168 0.6× 108 2.7k
Saverio Francesco Retta Italy 36 1.6k 1.1× 276 0.6× 295 0.8× 201 0.6× 80 0.3× 83 3.9k
Hon S. Leong Canada 33 1.6k 1.1× 727 1.5× 683 1.8× 349 1.1× 71 0.3× 85 3.0k
Takeshi Hori Japan 27 698 0.5× 195 0.4× 285 0.8× 334 1.1× 185 0.7× 151 2.7k
Tae‐Young Jung South Korea 31 595 0.4× 260 0.5× 411 1.1× 240 0.8× 145 0.5× 216 3.2k
Li Song China 27 1.3k 0.9× 561 1.2× 293 0.8× 177 0.6× 84 0.3× 91 2.3k
Jianfeng Chen China 30 1.4k 1.0× 396 0.8× 436 1.2× 177 0.6× 92 0.3× 105 3.2k
Jin Zhu China 30 1.3k 0.9× 341 0.7× 1.0k 2.7× 296 0.9× 170 0.6× 132 2.9k
Darren C. Tomlinson United Kingdom 34 2.5k 1.7× 375 0.8× 448 1.2× 317 1.0× 79 0.3× 95 3.5k

Countries citing papers authored by Chao Liang

Since Specialization
Citations

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

Fields of papers citing papers by Chao Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Liang. A scholar is included among the top collaborators of Chao Liang 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 Chao Liang. Chao Liang 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.
Sun, Yuliang, Ke-Wei Chen, Kai Zhao, et al.. (2025). MnO2-Assisted Photosynthetic Bacteria Interfering with the Adenosine-A2AR Metabolic Pathway to Enhance Tumor Photothermal Immunotherapy. ACS Nano. 19(8). 7962–7980. 6 indexed citations
2.
Huang, Jie, Xuekun Fu, Zhuqian Wang, et al.. (2025). snoRNA Snord3 promotes rheumatoid arthritis by epigenetic regulation of ESM1 in fibroblast-like synoviocytes in mice. Science Translational Medicine. 17(824). eadt5340–eadt5340.
3.
Yan, Jianhua, Chao Liang, Yuping Chen, et al.. (2025). Injectable multifunctional hydrogels for adipose tissue remodeling to treat obesity and alleviate metabolic syndrome. Journal of Controlled Release. 381. 113585–113585. 1 indexed citations
4.
Fu, Xuekun, Jin Li, Xinxin Chen, et al.. (2024). Repurposing AS1411 for constructing ANM-PROTACs. Cell chemical biology. 31(7). 1290–1304.e7. 13 indexed citations
5.
Guo, Wangxin, Pengfei Shao, Chao Liang, et al.. (2024). JAK/STAT signaling maintains an intermediate cell population during prostate basal cell fate determination. Nature Genetics. 56(12). 2776–2789. 5 indexed citations
6.
Qiu, Fang, et al.. (2024). Development of hybrid aptamers-engineered PROTACs for degrading VEGF165 in both tumor- and vascular endothelial cells. European Journal of Medicinal Chemistry. 281. 117027–117027. 2 indexed citations
7.
Chen, Hongzhen, Xuekun Fu, Xiaohao Wu, et al.. (2024). Gut microbial metabolite targets HDAC3-FOXK1-interferon axis in fibroblast-like synoviocytes to ameliorate rheumatoid arthritis. Bone Research. 12(1). 31–31. 20 indexed citations
9.
Huang, Jie, Lingqiang Zhang, Aiping Lü, & Chao Liang. (2023). Organoids as Innovative Models for Bone and Joint Diseases. Cells. 12(12). 1590–1590. 29 indexed citations
10.
Mi, Chao, Xun Zhang, Jianqun Wu, et al.. (2023). Bone disease imaging through the near-infrared-II window. Nature Communications. 14(1). 6287–6287. 37 indexed citations
11.
Bai, Ying, Xin Zhang, Jiawei Zhou, et al.. (2023). A2aR on lung adenocarcinoma cells: A novel target for cancer therapy via recruiting and regulating tumor-associated macrophages. Chemico-Biological Interactions. 382. 110543–110543. 11 indexed citations
12.
Liu, Qi, et al.. (2022). Anatomical study of the inferior extensor retinaculum and the oblique superolateral band: implications for the Brostrom-Gould procedure. BMC Musculoskeletal Disorders. 23(1). 28–28. 3 indexed citations
13.
Huang, Jie, Xuekun Fu, Xinxin Chen, et al.. (2021). Promising Therapeutic Targets for Treatment of Rheumatoid Arthritis. Frontiers in Immunology. 12. 686155–686155. 225 indexed citations breakdown →
14.
Wang, Zhuqian, Jie Huang, Duoli Xie, et al.. (2021). Toward Overcoming Treatment Failure in Rheumatoid Arthritis. Frontiers in Immunology. 12. 755844–755844. 31 indexed citations
15.
Liang, Chao, Songlin Peng, Jie Li, et al.. (2018). Inhibition of osteoblastic Smurf1 promotes bone formation in mouse models of distinctive age-related osteoporosis. Nature Communications. 9(1). 3428–3428. 44 indexed citations
16.
Yu, Yuanyuan, Feng Jiang, Daogang Guan, et al.. (2016). Molecular Mechanisms and Translational Therapies for Human Epidermal Receptor 2 Positive Breast Cancer. International Journal of Molecular Sciences. 17(12). 2095–2095. 41 indexed citations
17.
Wu, Xiaohao, Bing He, Jin Liu, et al.. (2016). Molecular Insight into Gut Microbiota and Rheumatoid Arthritis. International Journal of Molecular Sciences. 17(3). 431–431. 69 indexed citations
18.
Liang, Chao, Defang Li, Guang‐Xian Zhang, et al.. (2015). Comparison of the methods for generating single-stranded DNA in SELEX. The Analyst. 140(10). 3439–3444. 24 indexed citations
19.
Li, Dahu, Heng Zhu, Chao Liang, et al.. (2014). CKIP-1 suppresses the adipogenesis of mesenchymal stem cells by enhancing HDAC1-associated repression of C/EBPα. Journal of Molecular Cell Biology. 6(5). 368–379. 24 indexed citations
20.
Doody, J., B. Lipschultz, Lihua Zhou, et al.. (2013). An approach to explore the eddy currents of the new type divertor for EAST device using ANSYS code. Science China Technological Sciences. 57(1). 9–13. 8 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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