Hongmei Tan

2.6k total citations · 1 hit paper
37 papers, 2.1k citations indexed

About

Hongmei Tan is a scholar working on Molecular Biology, Rheumatology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Hongmei Tan has authored 37 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Rheumatology and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Hongmei Tan's work include Inflammasome and immune disorders (10 papers), Folate and B Vitamins Research (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Hongmei Tan is often cited by papers focused on Inflammasome and immune disorders (10 papers), Folate and B Vitamins Research (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Hongmei Tan collaborates with scholars based in China, United States and Hong Kong. Hongmei Tan's co-authors include Cheng Zeng, Renqing Wang, Hong Wang, Tao-Hua Lan, Fengqi Duan, Xiongqing Huang, Xiaofeng Yang, Fan Yang, Xuanhong Zhang and Xiaoying Lou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Circulation Research and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Hongmei Tan

34 papers receiving 2.1k citations

Hit Papers

NLRP3 inflammasome-mediat... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongmei Tan China 22 1.1k 334 300 296 270 37 2.1k
M. Yvonne Alexander United Kingdom 32 1.2k 1.0× 378 1.1× 311 1.0× 627 2.1× 320 1.2× 90 2.9k
Feng Huang China 22 758 0.7× 356 1.1× 198 0.7× 166 0.6× 387 1.4× 123 1.8k
Yong Du United States 29 697 0.6× 203 0.6× 239 0.8× 399 1.3× 136 0.5× 96 2.0k
Takashi Nomiyama Japan 29 1.2k 1.1× 384 1.1× 155 0.5× 412 1.4× 604 2.2× 85 3.1k
Daniel Petrovič Slovenia 26 809 0.7× 517 1.5× 91 0.3× 281 0.9× 262 1.0× 141 2.3k
Zhi Yang China 34 1.4k 1.2× 229 0.7× 134 0.4× 296 1.0× 230 0.9× 66 2.6k
Sung Kwang Park South Korea 24 935 0.8× 408 1.2× 73 0.2× 223 0.8× 236 0.9× 62 2.3k
Wai Han Yiu Hong Kong 23 787 0.7× 111 0.3× 223 0.7× 467 1.6× 219 0.8× 53 2.1k
Šárka Lhoták Canada 31 1.0k 0.9× 191 0.6× 340 1.1× 497 1.7× 610 2.3× 49 2.8k
Ting C. Zhao United States 33 1.9k 1.7× 230 0.7× 75 0.3× 352 1.2× 164 0.6× 106 2.9k

Countries citing papers authored by Hongmei Tan

Since Specialization
Citations

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

Fields of papers citing papers by Hongmei Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongmei Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Hongmei Tan. A scholar is included among the top collaborators of Hongmei Tan 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 Hongmei Tan. Hongmei Tan 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.
Wu, Hao, Weijie Li, Chong Deng, et al.. (2025). Inhibition of CDC27 O-GlcNAcylation coordinates the antitumor efficacy in multiple myeloma through the autophagy-lysosome pathway. Acta Pharmacologica Sinica. 46(7). 2041–2055.
2.
Duan, Fengqi, Li Li, Sijun Liu, et al.. (2024). Cortistatin protects against septic cardiomyopathy by inhibiting cardiomyocyte pyroptosis through the SSTR2-AMPK-NLRP3 pathway. International Immunopharmacology. 134. 112186–112186. 7 indexed citations
3.
Tan, Hongmei, et al.. (2024). Comparison of Drug Therapy Efficacy in Patients With Hypertrophic Cardiomyopathy: A Network Meta-Analysis. The American Journal of Cardiology. 226. 97–107. 3 indexed citations
4.
Zhang, Fengtai, et al.. (2023). Evaluation of tourism ecological security based on DPSIRM-SBM model and its temporal–spatial evolution characteristics. Environment Development and Sustainability. 26(7). 18111–18137. 4 indexed citations
5.
Liu, Sijun, Ge Tang, Fengqi Duan, et al.. (2021). MiR-17-5p Inhibits TXNIP/NLRP3 Inflammasome Pathway and Suppresses Pancreatic β-Cell Pyroptosis in Diabetic Mice. Frontiers in Cardiovascular Medicine. 8. 768029–768029. 22 indexed citations
6.
Zeng, Cheng & Hongmei Tan. (2020). Gut Microbiota and Heart, Vascular Injury. Advances in experimental medicine and biology. 1238. 107–141. 15 indexed citations
7.
Zeng, Cheng, Fengqi Duan, Jia Hu, et al.. (2020). NLRP3 inflammasome-mediated pyroptosis contributes to the pathogenesis of non-ischemic dilated cardiomyopathy. Redox Biology. 34. 101523–101523. 277 indexed citations breakdown →
8.
Zhang, Lixiao, Xianwei Wang, Ramón Cueto, et al.. (2019). Biochemical basis and metabolic interplay of redox regulation. Redox Biology. 26. 101284–101284. 234 indexed citations
9.
Zhang, Ximei, Feng Huang, Jia Yuan, et al.. (2018). Human Gingiva-Derived Mesenchymal Stem Cells Modulate Monocytes/Macrophages and Alleviate Atherosclerosis. Frontiers in Immunology. 9. 878–878. 80 indexed citations
10.
Wang, Xiaowu, Bo Xu, Hongliang Liang, et al.. (2018). Distribution characteristics and factors influencing oral warfarin adherence in patients after heart valve replacement. Patient Preference and Adherence. Volume 12. 1641–1648. 15 indexed citations
11.
Wang, Renqing, Yiqin Wang, Nana Mu, et al.. (2017). Activation of NLRP3 inflammasomes contributes to hyperhomocysteinemia-aggravated inflammation and atherosclerosis in apoE-deficient mice. Laboratory Investigation. 97(8). 922–934. 118 indexed citations
13.
Wang, Liangyan, Hongmei Tan, Kaiying Cheng, et al.. (2015). Sec Pathway Influences the Growth of Deinococcus radiodurans. Current Microbiology. 70(5). 651–656. 3 indexed citations
14.
Tan, Hongmei. (2014). Hyperhomocysteinemia promotes vascular remodeling in vein graph in mice. Frontiers in bioscience. 19(6). 958–958. 9 indexed citations
15.
Lou, Xiaoying, et al.. (2013). Folic acid attenuates hyperhomocysteinemia-induced glomerular damage in rats. Microvascular Research. 89. 146–152. 30 indexed citations
16.
Lan, Tao-Hua, Xiongqing Huang, & Hongmei Tan. (2013). Vascular fibrosis in atherosclerosis. Cardiovascular Pathology. 22(5). 401–407. 134 indexed citations
17.
Lan, Tao-Hua, et al.. (2011). Ginsenoside Rb1 prevents homocysteine-induced endothelial dysfunction via PI3K/Akt activation and PKC inhibition. Biochemical Pharmacology. 82(2). 148–155. 55 indexed citations
18.
Wu, Wei-Kang, Hongmei Tan, Zhi Wang, et al.. (2008). Ghrelin prevents doxorubicin-induced cardiotoxicity through TNF-alpha/NF-κB pathways and mitochondrial protective mechanisms. Toxicology. 247(2-3). 133–138. 98 indexed citations
19.
Wang, Zhi, Min Li, Wei-Kang Wu, Hongmei Tan, & Deng-feng Geng. (2008). Ginsenoside Rb1 Preconditioning Protects Against Myocardial Infarction After Regional Ischemia and Reperfusion by Activation of Phosphatidylinositol-3-kinase Signal Transduction. Cardiovascular Drugs and Therapy. 22(6). 443–452. 77 indexed citations
20.
Yang, Fan, Hongmei Tan, & Hong Wang. (2005). Hyperhomocysteinemia and atherosclerosis.. PubMed. 57(2). 103–14. 39 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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