Yan Liang

1.3k total citations
66 papers, 1.0k citations indexed

About

Yan Liang is a scholar working on Molecular Biology, Surgery and Rheumatology. According to data from OpenAlex, Yan Liang has authored 66 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 22 papers in Surgery and 11 papers in Rheumatology. Recurrent topics in Yan Liang's work include Knee injuries and reconstruction techniques (9 papers), Osteoarthritis Treatment and Mechanisms (9 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Yan Liang is often cited by papers focused on Knee injuries and reconstruction techniques (9 papers), Osteoarthritis Treatment and Mechanisms (9 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Yan Liang collaborates with scholars based in China, Canada and United States. Yan Liang's co-authors include Aillette Mulet‐Sierra, Adetola B. Adesida, Melanie Kunze, Alexander R. A. Szojka, Xinying Wang, Weifei Wang, Xiwu Gao, Nadr M. Jomha, Liang Peng and Haitao Qing and has published in prestigious journals such as The EMBO Journal, PLoS ONE and Scientific Reports.

In The Last Decade

Yan Liang

61 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Liang China 20 384 271 176 129 121 66 1.0k
Ting Zhu China 16 264 0.7× 304 1.1× 98 0.6× 161 1.2× 98 0.8× 30 982
Jiahong Meng China 17 422 1.1× 186 0.7× 132 0.8× 124 1.0× 107 0.9× 36 920
Itziar Palacios Spain 20 340 0.9× 380 1.4× 152 0.9× 157 1.2× 299 2.5× 46 1.2k
Md Shaifur Rahman Bangladesh 12 469 1.2× 217 0.8× 86 0.5× 193 1.5× 84 0.7× 21 990
Changan Guo China 24 340 0.9× 450 1.7× 131 0.7× 194 1.5× 178 1.5× 76 1.4k
Laura Pierdomenico Italy 23 742 1.9× 396 1.5× 122 0.7× 149 1.2× 88 0.7× 44 1.7k
Qiushi Wei China 20 666 1.7× 509 1.9× 214 1.2× 155 1.2× 196 1.6× 107 1.6k
Serçin Karahüseyinoğlu Türkiye 16 421 1.1× 505 1.9× 86 0.5× 107 0.8× 60 0.5× 33 1.5k
Shun‐Fu Chang Taiwan 21 678 1.8× 143 0.5× 223 1.3× 208 1.6× 119 1.0× 69 1.4k
Ileana Ruxandra Botusan Sweden 16 453 1.2× 182 0.7× 87 0.5× 59 0.5× 111 0.9× 21 1.3k

Countries citing papers authored by Yan Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Liang. A scholar is included among the top collaborators of Yan 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 Yan Liang. Yan 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.
Wang, Zhaoyang, Yan Liang, Yufei Wang, Tingting Li, & Gong Cheng. (2025). Progress in research on mosquito-borne viruses: Understanding infection, transmission, and control. 6(1). 48–61.
3.
Li, Jiehong, Yijian Li, Yan Liang, et al.. (2024). GLUT1 Promotes NLRP3 Inflammasome Activation of Airway Epithelium in Lipopolysaccharide-Induced Acute Lung Injury. American Journal Of Pathology. 194(7). 1185–1196. 5 indexed citations
5.
Zhang, Wancong, et al.. (2022). α-Enolase inhibits apoptosis and promotes cell invasion and proliferation of skin cutaneous melanoma. Molecular Biology Reports. 49(9). 8241–8250. 10 indexed citations
6.
Zhao, Jie, Yan Liang, Wei Hu, et al.. (2022). Cost-Effectiveness Analysis of PEG-rhG-CSF as Primary Prophylaxis to Chemotherapy-Induced Neutropenia in Women With Breast Cancer in China: Results Based on Real-World Data. Frontiers in Pharmacology. 12. 754366–754366. 6 indexed citations
7.
Liu, Shijia, Changjian Li, Zhiwei Zhang, et al.. (2022). The role of phosphatidylcholine 34:1 in the occurrence, development and treatment of ulcerative colitis. Acta Pharmaceutica Sinica B. 13(3). 1231–1245. 21 indexed citations
8.
Liang, Yan, et al.. (2022). [Effect of Carvacrol on the Biological Behavior of Leukemia Cells and Its Mechanism].. PubMed. 30(2). 393–399. 1 indexed citations
9.
Liang, Yan, et al.. (2021). KRT81 Knockdown Inhibits Malignant Progression of Melanoma Through Regulating Interleukin-8. DNA and Cell Biology. 40(10). 1290–1297. 16 indexed citations
10.
Zhao, Longmei, Long Wang, Wenqian Zhang, et al.. (2021). Promotion of right ventricular outflow tract reconstruction using a novel cardiac patch incorporated with hypoxia-pretreated urine-derived stem cells. Bioactive Materials. 14. 206–218. 17 indexed citations
11.
Szojka, Alexander R. A., Yan Liang, Stephen H. J. Andrews, et al.. (2021). Engineered human meniscus’ matrix-forming phenotype is unaffected by low strain dynamic compression under hypoxic conditions. PLoS ONE. 16(3). e0248292–e0248292. 7 indexed citations
12.
Szojka, Alexander R. A., Yan Liang, Rita de Cássia Marqueti, et al.. (2021). Time course of 3D fibrocartilage formation by expanded human meniscus fibrochondrocytes in hypoxia. Journal of Orthopaedic Research®. 40(2). 495–503. 5 indexed citations
13.
Szojka, Alexander R. A., Rita de Cássia Marqueti, David Li, et al.. (2021). Human engineered meniscus transcriptome after short-term combined hypoxia and dynamic compression. Journal of Tissue Engineering. 12. 2753720250–2753720250. 11 indexed citations
14.
Elkhenany, Hoda, Alexander R. A. Szojka, Aillette Mulet‐Sierra, et al.. (2020). Bone Marrow Mesenchymal Stem Cell-Derived Tissues are Mechanically Superior to Meniscus Cells. Tissue Engineering Part A. 27(13-14). 914–928. 19 indexed citations
15.
Szojka, Alexander R. A., Yan Liang, Melanie Kunze, et al.. (2018). Hypoxia and TGF-β3 Synergistically Mediate Inner Meniscus-Like Matrix Formation by Fibrochondrocytes. Tissue Engineering Part A. 25(5-6). 446–456. 15 indexed citations
16.
Li, Xing, et al.. (2018). Early increases in serum FGF21 levels predict mortality of septic patients. Cytokine. 111. 428–433. 23 indexed citations
17.
Wang, Xinwen, Yan Liang, Jian Shi, Hao‐Jie Zhu, & Barry E. Bleske. (2018). Crataegus Special Extract WS 1442 Effects on eNOS and microRNA 155. Planta Medica. 84(15). 1094–1100. 5 indexed citations
18.
Liang, Yan, Alexander R. A. Szojka, Stephen H. J. Andrews, et al.. (2018). Chondrogenic differentiation of synovial fluid mesenchymal stem cells on human meniscus-derived decellularized matrix requires exogenous growth factors. Acta Biomaterialia. 80. 131–143. 49 indexed citations
19.
Liang, Yan, Yang Xu, Xiaojian Zhang, et al.. (2016). Antidepressant-like effect of the saponins part of ethanol extract from SHF. Journal of Ethnopharmacology. 191. 307–314. 29 indexed citations
20.
Liang, Yan. (2004). NON-LINEAR INVERSION WITH THE QUADRATIC FUNCTION APPROACHING METHOD FOR MAGNETOTELLURIC DATA. 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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