Liwen Liu

805 total citations
31 papers, 588 citations indexed

About

Liwen Liu is a scholar working on Molecular Biology, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Liwen Liu has authored 31 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Biomedical Engineering and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Liwen Liu's work include Ultrasound and Hyperthermia Applications (3 papers), Estrogen and related hormone effects (3 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Liwen Liu is often cited by papers focused on Ultrasound and Hyperthermia Applications (3 papers), Estrogen and related hormone effects (3 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Liwen Liu collaborates with scholars based in China and United States. Liwen Liu's co-authors include Kenneth S. Korach, Yin Li, Sylvia C. Hewitt, Sara A. Grimm, Pierre R. Bushel, Yu Chen, Leping Li, David C. Fargo, Xin Meng and Minjuan Zheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American College of Cardiology and Scientific Reports.

In The Last Decade

Liwen Liu

28 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liwen Liu China 12 237 102 91 75 74 31 588
Yongli Chu China 13 183 0.8× 111 1.1× 28 0.3× 76 1.0× 75 1.0× 39 489
Changlong Guo China 12 791 3.3× 50 0.5× 163 1.8× 87 1.2× 67 0.9× 31 1.1k
Yun Feng China 11 468 2.0× 95 0.9× 45 0.5× 29 0.4× 210 2.8× 42 773
Pauliina Porola Finland 15 177 0.7× 101 1.0× 109 1.2× 44 0.6× 23 0.3× 24 617
Fashuai Wu China 11 228 1.0× 50 0.5× 125 1.4× 26 0.3× 125 1.7× 23 557
Akio Matsushita Japan 17 227 1.0× 29 0.3× 72 0.8× 23 0.3× 31 0.4× 53 698
Shailendra Maheshwari India 7 230 1.0× 54 0.5× 193 2.1× 14 0.2× 80 1.1× 13 642
Shin Ito Japan 14 167 0.7× 66 0.6× 18 0.2× 67 0.9× 82 1.1× 61 599
L F Fajardo United States 7 250 1.1× 94 0.9× 42 0.5× 110 1.5× 101 1.4× 10 626

Countries citing papers authored by Liwen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Liwen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liwen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Liwen Liu. A scholar is included among the top collaborators of Liwen Liu 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 Liwen Liu. Liwen Liu 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.
Zhu, Ling, et al.. (2025). Constructing a predictive model for acute mastitis in lactating women based on machine learning. Scientific Reports. 15(1). 30922–30922.
2.
Zhang, Lanlan, Bo Wang, Jing Wang, Jia Zhao, & Liwen Liu. (2025). Relationship between genotype and clinical phenotype of hypertrophic cardiomyopathy. World Journal of Cardiology. 17(8). 107847–107847.
3.
Cao, Liang, Wei Bai, Jian Yang, et al.. (2025). Efficacy of the transcatheter tricuspid valve replacement for patients with severe tricuspid regurgitation: Lux-Valve versus Lux-Valve Plus. Journal of Zhejiang University (Medical Sciences). 54(2). 213–218. 1 indexed citations
4.
Wang, Bo, Xueli Zhao, Jiao Liu, et al.. (2024). Association between Hypertrophic Cardiomyopathy and Variations in Sarcomere Gene and Calcium Channel Gene in Adults. Cardiology. 149(5). 440–450. 2 indexed citations
5.
Hu, Ting, Liwen Liu, Chi Zhang, et al.. (2023). Self-assembled α-tocopherol succinate dimer nanoparticles combining doxorubicin for increasing chemotherapy/oxidative therapy in 3D tumor spheroids. Journal of Drug Delivery Science and Technology. 84. 104454–104454. 2 indexed citations
6.
7.
Zhao, Shuo, Fangfang Li, Fan Yang, et al.. (2022). Microbial production of valuable chemicals by modular co-culture strategy. World Journal of Microbiology and Biotechnology. 39(1). 6–6. 10 indexed citations
8.
Zhao, Zhipeng, et al.. (2022). Targeting Indoleamine Dioxygenase and Tryptophan Dioxygenase in Cancer Immunotherapy: Clinical Progress and Challenges. Drug Design Development and Therapy. Volume 16. 2639–2657. 28 indexed citations
9.
Gu, Pengfei, Liwen Liu, Qianqian Ma, et al.. (2021). Metabolic engineering of Escherichia coli for the production of isobutanol: a review. World Journal of Microbiology and Biotechnology. 37(10). 168–168. 7 indexed citations
10.
Luo, Wen, Xiao Yang, Ying Liu, et al.. (2021). Role of contrast-enhanced ultrasonography in MR-guided focused ultrasound ablation on uterus fibroids: lesion selection and assessment of ablative effects. European Radiology. 32(3). 2110–2119. 2 indexed citations
11.
Meng, Xin, Minjuan Zheng, Ming Yu, et al.. (2019). Transplantation of CRISPRa system engineered IL10-overexpressing bone marrow-derived mesenchymal stem cells for the treatment of myocardial infarction in diabetic mice. Journal of Biological Engineering. 13(1). 49–49. 40 indexed citations
12.
Gong, Wenqing, et al.. (2018). Perioperative survival rate and relevant risk factors in patients with aortic dissection. 15(12). 935–941. 1 indexed citations
13.
14.
Bao, Jie, Yan Yu, Jianan Chen, et al.. (2018). MiR-126 negatively regulates PLK-4 to impact the development of hepatocellular carcinoma via ATR/CHEK1 pathway. Cell Death and Disease. 9(10). 1045–1045. 72 indexed citations
15.
Li, Yin, Katherine J. Hamilton, Tianyuan Wang, et al.. (2018). DNA methylation and transcriptome aberrations mediated by ERα in mouse seminal vesicles following developmental DES exposure. Proceedings of the National Academy of Sciences. 115(18). E4189–E4198. 20 indexed citations
16.
17.
Li, Fengsheng, Jianlei Zhang, Yunmei Wang, & Liwen Liu. (2015). Clinical value of elasticity imaging and contrast-enhanced ultrasound in the diagnosis of papillary thyroid microcarcinoma. Oncology Letters. 10(3). 1371–1377. 26 indexed citations
18.
Xu, Jian, Hongliang Zhao, Xiaoying Wang, et al.. (2014). Accuracy, Image Quality, and Radiation Dose of Prospectively ECG-Triggered High-Pitch Dual-Source CT Angiography in Infants and Children with Complex Coarctation of the Aorta. Academic Radiology. 21(10). 1248–1254. 32 indexed citations
19.
Wall, E.H., Sylvia C. Hewitt, Liwen Liu, et al.. (2013). Genetic control of estrogen‐regulated transcriptional and cellular responses in mouse uterus. The FASEB Journal. 27(5). 1874–1886. 17 indexed citations
20.
Zhong, L., et al.. (2010). Re-Os Geochronology of Molybdenite from Yuanzhuding Porphyry Cu-Mo Deposit in South China. Resource Geology. 60(4). 389–396. 11 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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