Dazhu Li

1.7k total citations
48 papers, 1.3k citations indexed

About

Dazhu Li is a scholar working on Immunology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Dazhu Li has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Immunology, 12 papers in Molecular Biology and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Dazhu Li's work include Atherosclerosis and Cardiovascular Diseases (16 papers), Cancer-related molecular mechanisms research (6 papers) and T-cell and B-cell Immunology (6 papers). Dazhu Li is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (16 papers), Cancer-related molecular mechanisms research (6 papers) and T-cell and B-cell Immunology (6 papers). Dazhu Li collaborates with scholars based in China, United States and United Kingdom. Dazhu Li's co-authors include Shaolin He, Jing Lin, Xinghui Sun, Akm Khyrul Wara, Basak Icli, Mark W. Feinberg, Nathan Belkin, Jibin Lin, Galina K. Sukhova and Timothy S. Blackwell and has published in prestigious journals such as Circulation, PLoS ONE and Circulation Research.

In The Last Decade

Dazhu Li

47 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dazhu Li China 20 635 556 320 163 160 48 1.3k
Xiaobo Mao China 20 480 0.8× 364 0.7× 185 0.6× 180 1.1× 116 0.7× 40 1.0k
Jin Cao China 15 500 0.8× 487 0.9× 253 0.8× 110 0.7× 253 1.6× 25 1.3k
Pontus Dunér Sweden 20 489 0.8× 552 1.0× 156 0.5× 165 1.0× 184 1.1× 44 1.2k
Mihaela Nitulescu Sweden 16 417 0.7× 517 0.9× 182 0.6× 226 1.4× 266 1.7× 27 1.2k
Eric A. Shikatani Canada 12 589 0.9× 607 1.1× 126 0.4× 234 1.4× 269 1.7× 13 1.5k
Karishma Rahman United States 9 430 0.7× 645 1.2× 142 0.4× 157 1.0× 250 1.6× 15 1.1k
Xiao Meng China 18 481 0.8× 501 0.9× 194 0.6× 283 1.7× 91 0.6× 41 1.3k
Ming‐Jiang Xu China 22 626 1.0× 280 0.5× 194 0.6× 150 0.9× 250 1.6× 37 1.7k
Lieve Temmerman Netherlands 11 402 0.6× 378 0.7× 111 0.3× 100 0.6× 131 0.8× 22 945
Xue‐Yong Zhu China 25 710 1.1× 296 0.5× 213 0.7× 220 1.3× 429 2.7× 36 1.4k

Countries citing papers authored by Dazhu Li

Since Specialization
Citations

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

Fields of papers citing papers by Dazhu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dazhu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Dazhu Li. A scholar is included among the top collaborators of Dazhu 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 Dazhu Li. Dazhu 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.
Wang, Yilong, Minglu Liang, Kaiyuan Liu, et al.. (2025). BAP1 Suppresses White Adipose Tissue Browning and Thermogenesis Through Deubiquitinating KDM1B. Diabetes. 74(7). 1153–1167.
2.
Lv, Bingjie, et al.. (2024). Two-sample Mendelian randomization to study the causal association between gut microbiota and atherosclerosis. Frontiers in Immunology. 14. 1282072–1282072. 9 indexed citations
3.
Zhang, Yuanyuan, Tianxiao Liu, Zhiyong Deng, et al.. (2023). Group 2 Innate Lymphoid Cells Protect Mice from Abdominal Aortic Aneurysm Formation via IL5 and Eosinophils. Advanced Science. 10(7). e2206958–e2206958. 16 indexed citations
4.
Liu, Tianxiao, Jing Liu, Jie Li, et al.. (2022). Group 2 innate lymphoid cells protect mouse heart from myocardial infarction injury via interleukin 5, eosinophils, and dendritic cells. Cardiovascular Research. 119(4). 1046–1061. 12 indexed citations
5.
Lin, Jibin, et al.. (2021). Innate Lymphoid Cells and Myocardial Infarction. Frontiers in Immunology. 12. 758272–758272. 14 indexed citations
6.
Gao, Xiaonan, Jibin Lin, Shangwei Liu, et al.. (2020). Type 2 innate lymphoid cells regulation by regulatory T cells attenuates atherosclerosis. Journal of Molecular and Cellular Cardiology. 145. 99–111. 13 indexed citations
7.
Liu, Tianxiao, Jing Liu, Yingzhong Lin, et al.. (2019). IL-37 inhibits the maturation of dendritic cells through the IL-1R8-TLR4-NF-κB pathway. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1864(10). 1338–1349. 42 indexed citations
8.
9.
Lin, Jing, Boyuan Wang, Shaolin He, et al.. (2015). Inflammatory Cytokine TSLP Stimulates Platelet Secretion and Potentiates Platelet Aggregation via a TSLPR-Dependent PI3K/Akt Signaling Pathway. Cellular Physiology and Biochemistry. 35(1). 160–174. 23 indexed citations
10.
He, Shaolin, Liyuan Yang, Dazhu Li, & Ming Li. (2015). Kruppel-Like Factor 2-Mediated Suppression of MicroRNA-155 Reduces the Proinflammatory Activation of Macrophages. PLoS ONE. 10(9). e0139060–e0139060. 14 indexed citations
11.
Mao, Yi, Yudong Peng, Qiutang Zeng, et al.. (2015). A Potential Mechanism of High-Dose Ticagrelor in Modulating Platelet Activity and Atherosclerosis Mediated by Thymic Stromal Lymphopoietin Receptor. PLoS ONE. 10(10). e0141464–e0141464. 6 indexed citations
12.
Fang, Hongcheng, Jing Lin, Lei Wang, et al.. (2013). Kruppel-Like Factor 2 Regulates Dendritic Cell Activation in Patients with Acute Coronary Syndrome. Cellular Physiology and Biochemistry. 32(4). 931–941. 10 indexed citations
13.
Lin, Jing, Xiling Shou, Xiaobo Mao, et al.. (2013). Oxidized Low Density Lipoprotein Induced Caspase-1 Mediated Pyroptotic Cell Death in Macrophages: Implication in Lesion Instability?. PLoS ONE. 8(4). e62148–e62148. 72 indexed citations
14.
Wang, Boyuan, Yudong Peng, Jing Lin, et al.. (2013). Human Platelets Express Functional Thymic Stromal Lymphopoietin Receptors: a Potential Role in Platelet Activation in Acute Coronary Syndrome. Cellular Physiology and Biochemistry. 32(6). 1741–1750. 18 indexed citations
15.
Zhao, Hui, Ming Li, Lei Wang, et al.. (2012). Angiotensin II Induces TSLP via an AT1 Receptor/NF-KappaB Pathway, Promoting Th17 Differentiation. Cellular Physiology and Biochemistry. 30(6). 1383–1397. 29 indexed citations
16.
Li, Xiaolin, Dazhu Li, & Zhixiao Wang. (2009). Induction of oral tolerance to HSP 60 and its effects in the progression of atherosclerotic plaque in mice.. Zhongguo mianyixue zazhi. 25(3). 206–208. 1 indexed citations
17.
Lin, Jing, et al.. (2009). The role of CD4+CD25+ regulatory T cells in macrophage-derived foam-cell formation. Journal of Lipid Research. 51(5). 1208–1217. 87 indexed citations
18.
19.
Li, Dazhu, et al.. (2004). [Effects of atorvastatin on the function of dendritic cells in patients with unstable angina pectoris].. PubMed. 43(6). 429–32. 3 indexed citations
20.
Li, Dazhu, et al.. (2004). Differentiation of dendritic cells in monocyte cultures isolated from patients with unstable angina. International Journal of Cardiology. 97(3). 551–555. 27 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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