Tangzhiming Li

783 total citations
24 papers, 537 citations indexed

About

Tangzhiming Li is a scholar working on Pulmonary and Respiratory Medicine, Immunology and Surgery. According to data from OpenAlex, Tangzhiming Li has authored 24 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 7 papers in Immunology and 6 papers in Surgery. Recurrent topics in Tangzhiming Li's work include Pulmonary Hypertension Research and Treatments (11 papers), Galectins and Cancer Biology (5 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers). Tangzhiming Li is often cited by papers focused on Pulmonary Hypertension Research and Treatments (11 papers), Galectins and Cancer Biology (5 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers). Tangzhiming Li collaborates with scholars based in China, United Kingdom and United States. Tangzhiming Li's co-authors include Zaixin Yu, Lin Zhao, Jingni He, Qiangqiang Qi, Lihuang Zha, Xiaohui Li, Hui Luo, Xiaohui Li, Yuwei Liu and Yilu Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Cardiovascular Research.

In The Last Decade

Tangzhiming Li

23 papers receiving 535 citations

Peers

Tangzhiming Li
Allyson Capili United States
Chao Fan China
Qihong Wu China
Yilin Pan China
Jihwa Chung South Korea
Zhi Zuo China
Tangzhiming Li
Citations per year, relative to Tangzhiming Li Tangzhiming Li (= 1×) peers Tiance Wang

Countries citing papers authored by Tangzhiming Li

Since Specialization
Citations

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

Fields of papers citing papers by Tangzhiming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tangzhiming Li

This figure shows the co-authorship network connecting the top 25 collaborators of Tangzhiming Li. A scholar is included among the top collaborators of Tangzhiming Li 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 Tangzhiming Li. Tangzhiming Li 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.
Liu, Huadong, Feng Chen, Qiyun Liu, et al.. (2025). Developing an Interpretable Machine Learning Model for Early Prediction of Cardiovascular Involvement in Systemic Lupus Erythematosus. Journal of Inflammation Research. Volume 18. 8629–8641. 2 indexed citations
2.
Li, Tangzhiming, Qiyun Liu, Xiaoyu Wang, et al.. (2024). Analysis of differential metabolites in serum metabolomics of patients with aortic dissection. BMC Cardiovascular Disorders. 24(1). 226–226. 3 indexed citations
3.
Lin, Wenchao, Yiyang Tang, Tangzhiming Li, et al.. (2024). Selenium supplementation elevated SELENBP1 to inhibit fibroblast activation in pulmonary arterial hypertension. iScience. 27(10). 111036–111036. 5 indexed citations
4.
Wu, Man, Tangzhiming Li, Jie Yu, et al.. (2024). Clinical Features and a Prediction Model for Early Prediction of Composite Outcome in Chlamydia psittaci Pneumonia: A Multi-Centre Retrospective Study in China. Infection and Drug Resistance. Volume 17. 3913–3923. 1 indexed citations
5.
Li, Tangzhiming, Qiyun Liu, Xiaoyu Wang, et al.. (2024). Development and validation of a risk prediction model for valve regurgitation in Behçet’s disease. Clinical Rheumatology. 43(5). 1711–1721. 1 indexed citations
6.
Li, Tangzhiming, Qian Li, Cong Xu, et al.. (2024). AS-0326 Proteomic Biomarker Discovery and Machine Learning–Based Prediction of Acute Coronary Syndrome in Young Adults: A Multi-Marker Study. Journal of the American College of Cardiology. 84(22). C17–C17.
7.
Luo, Hui, et al.. (2023). Novel lncRNA LNC_000113 Drives the Activation of Pulmonary Adventitial Fibroblasts through Modulating PTEN/Akt/FoxO1 Pathway. Journal of Cardiovascular Development and Disease. 10(6). 262–262. 2 indexed citations
8.
Wang, Xiaoyu, et al.. (2022). Clinical characteristics and predictors for cardiovascular system involvement in patients with Behçet's disease. Clinical and Experimental Rheumatology. 41(10). 1964–1969. 3 indexed citations
9.
Xu, Cong, Tangzhiming Li, Jie Yuan, et al.. (2022). Iron metabolism-related genes reveal predictive value of acute coronary syndrome. Frontiers in Pharmacology. 13. 1040845–1040845. 4 indexed citations
10.
Ou, Z. W., Zaixin Yu, Lin Zhao, et al.. (2022). Evolocumab enables rapid LDL-C reduction and inflammatory modulation during in-hospital stage of acute coronary syndrome: A pilot study on Chinese patients. Frontiers in Cardiovascular Medicine. 9. 939791–939791. 6 indexed citations
11.
Zhao, Lin, et al.. (2022). β3 adrenoceptor agonist mirabegron protects against right ventricular remodeling and drives Drp1 inhibition. Cardiovascular Diagnosis and Therapy. 12(6). 815–827. 2 indexed citations
12.
Yan, Jianlong, Yanbin Pan, Caiping Wang, et al.. (2022). Beneficial effect of the short-chain fatty acid propionate on vascular calcification through intestinal microbiota remodelling. Microbiome. 10(1). 195–195. 89 indexed citations
13.
Yu, Biao, Tangzhiming Li, & Huadong Liu. (2021). Retrospective analysis of factors associated with aortic remodeling in patients with Stanford type B aortic dissection after thoracic endovascular aortic repair. Journal of Cardiothoracic Surgery. 16(1). 190–190. 4 indexed citations
14.
Zeng, Xiaofang, et al.. (2020). Rapid disease progress in a PVOD patient carrying a novel EIF2AK4 mutation: a case report. BMC Pulmonary Medicine. 20(1). 186–186. 9 indexed citations
15.
Feng, Yilu, Ye Zhang, Yi Cai, et al.. (2020). A20 targets PFKL and glycolysis to inhibit the progression of hepatocellular carcinoma. Cell Death and Disease. 11(2). 89–89. 79 indexed citations
16.
Li, Tangzhiming, Lihuang Zha, Hui Luo, et al.. (2018). Galectin-3 Mediates Endothelial-to-Mesenchymal Transition in Pulmonary Arterial Hypertension. Aging and Disease. 10(4). 731–731. 28 indexed citations
17.
Zha, Lihuang, Jun Zhou, Tangzhiming Li, et al.. (2018). NLRC3: A Novel Noninvasive Biomarker for Pulmonary Hypertension Diagnosis. Aging and Disease. 9(5). 843–843. 10 indexed citations
18.
Zhao, Lin, Hui Luo, Xiaohui Li, et al.. (2017). Exosomes Derived from Human Pulmonary Artery Endothelial Cells Shift the Balance between Proliferation and Apoptosis of Smooth Muscle Cells. Cardiology. 137(1). 43–53. 65 indexed citations
19.
Luo, Hui, Bin Liu, Lin Zhao, et al.. (2017). Galectin-3 mediates pulmonary vascular remodeling in hypoxia-induced pulmonary arterial hypertension. Journal of the American Society of Hypertension. 11(10). 673–683.e3. 32 indexed citations
20.
He, Jingni, Xiaohui Li, Hui Luo, et al.. (2017). Galectin-3 mediates the pulmonary arterial hypertension–induced right ventricular remodeling through interacting with NADPH oxidase 4. Journal of the American Society of Hypertension. 11(5). 275–289.e2. 56 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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