Yu Lian

2.5k total citations · 1 hit paper
13 papers, 1.8k citations indexed

About

Yu Lian is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Yu Lian has authored 13 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Epidemiology. Recurrent topics in Yu Lian's work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (4 papers) and Mycobacterium research and diagnosis (3 papers). Yu Lian is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (4 papers) and Mycobacterium research and diagnosis (3 papers). Yu Lian collaborates with scholars based in China, United States and Uganda. Yu Lian's co-authors include Wei Xiong, Zhaoyang Zeng, Guiyuan Li, Xiayu Li, Zhaojian Gong, Can Guo, Yingfeng Wu, Wei Fang, Lishen Zhang and Maonan Wang and has published in prestigious journals such as Molecular Cancer, International Journal of Biological Macromolecules and Separation and Purification Technology.

In The Last Decade

Yu Lian

12 papers receiving 1.8k citations

Hit Papers

Role of tumor microenvironment in tumorigenesis 2017 2026 2020 2023 2017 250 500 750 1000

Peers

Yu Lian
Xianming Huang United States
Dan A. Landau United States
Tsz-Lun Yeung United States
Kai Shen China
Marc D. Bullock United Kingdom
Liyan Lao China
Cecilia S. Leung United States
Ernst J.A. Steller Netherlands
Ying Ma China
Yu Lian
Citations per year, relative to Yu Lian Yu Lian (= 1×) peers Pedro P. López‐Casas

Countries citing papers authored by Yu Lian

Since Specialization
Citations

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

Fields of papers citing papers by Yu Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Lian

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

All Works

13 of 13 papers shown
1.
Xu, Meng, et al.. (2025). Statistical interpretation of Langmuir-Freundlich equation for physical adsorption by exchange-electron number of adsorbate with surface. Separation and Purification Technology. 373. 133501–133501. 3 indexed citations
2.
Lian, Yu, et al.. (2025). Protein hydrolysate from Atlantic salmon (Salmo salar) improves aging-associated neuroinflammation and cognitive decline in rats by reshaping the gut microbiota and Th17/Treg balance. International Journal of Biological Macromolecules. 306(Pt 1). 141270–141270. 1 indexed citations
3.
Mader, W. F., et al.. (2023). Improved Yolov5 and Image Morphology Processing Based on UAV Platform for Dike Health Inspection. International Journal of Web Services Research. 20(1). 1–13.
4.
Tang, Yanyan, Jinpeng Wang, Yu Lian, et al.. (2017). Linking long non-coding RNAs and SWI/SNF complexes to chromatin remodeling in cancer. Molecular Cancer. 16(1). 42–42. 115 indexed citations
5.
Wang, Maonan, Lishen Zhang, Wei Fang, et al.. (2017). Role of tumor microenvironment in tumorigenesis. Journal of Cancer. 8(5). 761–773. 1023 indexed citations breakdown →
6.
Yu, Jianjun, Yan Liu, Can Guo, et al.. (2017). Upregulated long non-coding RNA LINC00152 expression is associated with progression and poor prognosis of tongue squamous cell carcinoma. Journal of Cancer. 8(4). 523–530. 88 indexed citations
7.
Lian, Yu, Hui Cai, Xiaojun Yang, et al.. (2017). Clinicopathological significance of c-MYC in esophageal squamous cell carcinoma. Tumor Biology. 39(7). 3726133180–3726133180. 21 indexed citations
8.
Tang, Yanyan, Yi He, Lei Shi, et al.. (2017). Co-expression of AFAP1-AS1 and PD-1 predicts poor prognosis in nasopharyngeal carcinoma. Oncotarget. 8(24). 39001–39011. 103 indexed citations
9.
Yang, Liting, Yanyan Tang, Yi He, et al.. (2016). High Expression of LINC01420 indicates an unfavorable prognosis and modulates cell migration and invasion in nasopharyngeal carcinoma. Journal of Cancer. 8(1). 97–103. 64 indexed citations
10.
Zeng, Zhaoyang, Hao Bo, Zhaojian Gong, et al.. (2015). AFAP1-AS1, a long noncoding RNA upregulated in lung cancer and promotes invasion and metastasis. Tumor Biology. 37(1). 729–737. 128 indexed citations
11.
Bo, Hao, Zhaojian Gong, Wenling Zhang, et al.. (2015). Upregulated long non-coding RNA AFAP1-AS1 expression is associated with progression and poor prognosis of nasopharyngeal carcinoma. Oncotarget. 6(24). 20404–20418. 188 indexed citations
12.
Lian, Yu, Xiaojun Wang, Ruiling Wang, et al.. (2011). Environmental flows and its evaluation of restoration effect based on LEDESS model in Yellow River Delta wetlands. Mitigation and Adaptation Strategies for Global Change. 17(4). 357–367. 20 indexed citations
13.
Giordano, M., et al.. (2003). Yellow river comprehensive assessment: basin features and issues.. Digital Library Of The Commons Repository (Indiana University). 19 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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