Lian Tang

644 total citations
44 papers, 507 citations indexed

About

Lian Tang is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Lian Tang has authored 44 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Cancer Research and 10 papers in Surgery. Recurrent topics in Lian Tang's work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers) and Bone Metabolism and Diseases (4 papers). Lian Tang is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers) and Bone Metabolism and Diseases (4 papers). Lian Tang collaborates with scholars based in China, Australia and United States. Lian Tang's co-authors include Wenjuan Yao, Fan Dai, Xiaobo Lu, Lifeng Yang, Chao Huang, Xiaoqiang Yu, Yan Liu, Yuqin Wang, Xihai Zhang and Shuya Liu and has published in prestigious journals such as Experimental Cell Research, Journal of Antimicrobial Chemotherapy and Environmental Research.

In The Last Decade

Lian Tang

40 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lian Tang China 14 282 173 60 50 48 44 507
Shui Qiu China 14 316 1.1× 169 1.0× 42 0.7× 46 0.9× 61 1.3× 21 526
Jian‐Ching Wu Taiwan 12 260 0.9× 111 0.6× 61 1.0× 56 1.1× 74 1.5× 18 472
Yanhua Li China 15 345 1.2× 178 1.0× 32 0.5× 34 0.7× 42 0.9× 33 625
Jinsong Yan China 14 445 1.6× 218 1.3× 43 0.7× 74 1.5× 77 1.6× 66 787
Qin Yi China 16 313 1.1× 130 0.8× 45 0.8× 56 1.1× 40 0.8× 42 510
Libin Yang China 11 244 0.9× 161 0.9× 28 0.5× 67 1.3× 68 1.4× 29 460
Sherin Bakhashab Saudi Arabia 15 228 0.8× 130 0.8× 48 0.8× 91 1.8× 33 0.7× 38 497
Ruiyan Li China 14 458 1.6× 299 1.7× 54 0.9× 57 1.1× 57 1.2× 22 689

Countries citing papers authored by Lian Tang

Since Specialization
Citations

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

Fields of papers citing papers by Lian Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lian Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Lian Tang. A scholar is included among the top collaborators of Lian Tang 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 Lian Tang. Lian Tang 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.
Yang, Lijuan, Qian Zhang, Tongtong Li, et al.. (2025). Population pharmacokinetic model of linezolid and its metabolite PNU-142300 in elderly patients. Journal of Antimicrobial Chemotherapy. 80(11). 3001–3010.
2.
Liu, Zixi, et al.. (2025). Analysis of factors affecting the water footprint of major grain crops in the Qingtongxia irrigation area. Ecohydrology & Hydrobiology. 25(3). 763–775.
3.
Yang, Jinghong, et al.. (2024). Ilizarov method combined with accordion technique for treating long bone defects in the lower limbs: a systematic review. Journal of Orthopaedic Surgery and Research. 19(1). 781–781. 1 indexed citations
4.
Yang, Jinghong, et al.. (2024). Nomogram construction and validation of axial deviation in patients with tibial defects treated with the Ilizarov bone transport technique. BMC Musculoskeletal Disorders. 25(1). 483–483. 1 indexed citations
5.
Chen, Yinglong, et al.. (2024). Forecasting the potential of reclaimed water using signal decomposition and deep learning. Journal of Water Process Engineering. 65. 105770–105770. 3 indexed citations
6.
Lai, Xin, Shuangjie Li, Jun Qiu, et al.. (2024). Predictive role of early treatment dynamics of HBV RNA and HBcrAg for HBeAg seroconversion in children with chronic hepatitis B. Journal of Medical Virology. 96(5). e29670–e29670. 1 indexed citations
7.
Jiang, Tao, et al.. (2024). Interleukin 17A promotes glycolysis to activate human hepatic stellate cells by mediating the TRAF2/TRAF5/HuR/PFKFB3 axis. Central European Journal of Immunology. 49(4). 404–424.
8.
Chen, Yinglong, Hongling Zhang, You Yang, Jing Zhang, & Lian Tang. (2024). A hybrid deep learning model based on signal decomposition and dynamic feature selection for forecasting the influent parameters of wastewater treatment plants. Environmental Research. 266. 120615–120615. 7 indexed citations
9.
Tang, Lian, Shiqi Liang, Chunlin Chen, et al.. (2024). Comparison of urethral parameters in females presenting cystoceles with and without stress urinary incontinence based on dynamic magnetic resonance imaging: are they different?. Abdominal Radiology. 49(8). 2902–2912. 1 indexed citations
10.
Tang, Lian, et al.. (2024). circ_0029463 promotes osteoclast differentiation by mediating miR-134-5p/Rab27a axis. Journal of Orthopaedic Surgery and Research. 19(1). 128–128. 4 indexed citations
11.
Zhang, Xuan, Dingding Zhang, Hongmin Li, et al.. (2023). Melatonin-Mediated Suppression of mtROS-JNK-FOXO1 Pathway Alleviates Hypoxia-Induced Apoptosis in Porcine Granulosa Cells. Antioxidants. 12(10). 1881–1881. 4 indexed citations
12.
Luo, Haiyan, Songxu Peng, Yanfang Tan, et al.. (2022). Assessment of liver fibrosis by transient elastography and multi-parameters model in young children with chronic hepatitis B virus infection. BMC Infectious Diseases. 22(1). 160–160. 14 indexed citations
13.
Li, Jianhua, Lian Tang, Xin Liu, et al.. (2021). The Deubiquitinating Enzyme UCHL1 Induces Resistance to Doxorubicin in HER2+ Breast Cancer by Promoting Free Fatty Acid Synthesis. Frontiers in Oncology. 11. 629640–629640. 8 indexed citations
15.
Zhang, Jingjing, et al.. (2019). ROCK inhibitors alleviate myofibroblast transdifferentiation and vascular remodeling via decreasing TGFβ1-mediated RhoGDI expression. General Physiology and Biophysics. 38(4). 271–280. 9 indexed citations
16.
Dai, Fan, Lian Tang, Xiaofeng Bao, et al.. (2018). Distinct Roles For ROCK1 and ROCK2 in the Regulation of Oxldl-Mediated Endothelial Dysfunction. Cellular Physiology and Biochemistry. 49(2). 565–577. 15 indexed citations
17.
Tang, Lian, Cheng Peng, Lan Chen, et al.. (2018). A modified model can improve the accuracy of foetal weight estimation by magnetic resonance imaging. European Journal of Radiology. 110. 242–248. 5 indexed citations
18.
Tang, Lian, et al.. (2017). The metastasis suppressor gene KISS-1 regulates osteosarcoma apoptosis and autophagy processes. Molecular Medicine Reports. 15(3). 1286–1290. 13 indexed citations
19.
Chen, Chunlin, Peng Cheng, Lu Huang, et al.. (2015). [Comparison of levator ani muscles in three-dimensional MRI-based models in women with and without pelvic organ prolapse at rest].. PubMed. 50(6). 428–33. 2 indexed citations
20.
Jiang, Tao, et al.. (2013). [Changes in Th17 and CD4+CD25+ Treg cells and their significance among children with hand, foot and mouth disease].. PubMed. 15(12). 1113–5. 3 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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