Zhange Li

2.0k total citations · 1 hit paper
17 papers, 1.5k citations indexed

About

Zhange Li is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Zhange Li has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Zhange Li's work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). Zhange Li is often cited by papers focused on MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). Zhange Li collaborates with scholars based in China, Australia and Russia. Zhange Li's co-authors include Yong Zhang, Baofeng Yang, Chaoqian Xu, Huan Yang, Xue Bai, Xin Liu, Jiamin Li, Xianxian Wu, Lin Yuan and Haiying Zhang and has published in prestigious journals such as Scientific Reports, Cell Death and Differentiation and European Journal of Pharmacology.

In The Last Decade

Zhange Li

17 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nicotine promotes atherosclerosis via ROS-NLRP3-mediated endothelial cell pyroptosis

2018 467 citations Xianxian Wu, Haiying Zhang et al. Cell Death and Disease profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhange Li China	16	1.1k	404	296	156	152	17	1.5k
Xianxian Wu China	17	832 0.8×	372 0.9×	277 0.9×	123 0.8×	211 1.4×	45	1.4k
Qin Chen China	21	1.0k 1.0×	520 1.3×	164 0.6×	99 0.6×	146 1.0×	78	1.8k
Song‐Yang Zhang China	21	754 0.7×	216 0.5×	322 1.1×	73 0.5×	199 1.3×	32	1.6k
Xiaoyu Liu China	22	710 0.7×	231 0.6×	193 0.7×	139 0.9×	155 1.0×	58	1.5k
Giovanni Tossetta Italy	29	750 0.7×	233 0.6×	300 1.0×	41 0.3×	116 0.8×	65	1.7k
Naijin Zhang China	22	730 0.7×	223 0.6×	143 0.5×	200 1.3×	95 0.6×	71	1.3k
Zhen Qiu China	14	784 0.7×	195 0.5×	165 0.6×	125 0.8×	146 1.0×	38	1.2k

Countries citing papers authored by Zhange Li

Since Specialization

Citations

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

Fields of papers citing papers by Zhange Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhange Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zhange Li. A scholar is included among the top collaborators of Zhange 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 Zhange Li. Zhange Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Yin, Hang, Lin Chen, Yiru Wang, et al.. (2021). M6A RNA methylation-mediated RMRP stability renders proliferation and progression of non-small cell lung cancer through regulating TGFBR1/SMAD2/SMAD3 pathway. Cell Death and Differentiation. 30(3). 605–617. 99 indexed citations

Li, Zhange, Honglin Xu, Xin Liu, et al.. (2020). GDF11 inhibits cardiomyocyte pyroptosis and exerts cardioprotection in acute myocardial infarction mice by upregulation of transcription factor HOXA3. Cell Death and Disease. 11(10). 917–917. 59 indexed citations

Jiao, Lei, Yingchun Shao, Qi Yu, et al.. (2020). GDF11 replenishment protects against hypoxia-mediated apoptosis in cardiomyocytes by regulating autophagy. European Journal of Pharmacology. 885. 173495–173495. 15 indexed citations

Qin, Wei, Longyin Zhang, Zhange Li, et al.. (2020). Endothelial to mesenchymal transition contributes to nicotine-induced atherosclerosis. Theranostics. 10(12). 5276–5289. 35 indexed citations

Xiao, Dan, Yue Zhang, Rui Wang, et al.. (2019). Emodin alleviates cardiac fibrosis by suppressing activation of cardiac fibroblasts via upregulating metastasis associated protein 3. Acta Pharmaceutica Sinica B. 9(4). 724–733. 45 indexed citations

Qin, Wei, Longyin Zhang, Zhange Li, et al.. (2019). Metoprolol protects against myocardial infarction by inhibiting miR-1 expression in rats. Journal of Pharmacy and Pharmacology. 72(1). 76–83. 15 indexed citations

Qin, Wei, Longyin Zhang, Zhange Li, et al.. (2019). SIRT6-mediated transcriptional suppression of MALAT1 is a key mechanism for endothelial to mesenchymal transition. International Journal of Cardiology. 295. 7–13. 21 indexed citations

Hu, Yingying, Xi Chen, Zhange Li, et al.. (2019). MicroRNA‑1 downregulation induced by carvedilol protects cardiomyocytes against apoptosis by targeting heat shock protein 60. Molecular Medicine Reports. 19(5). 3527–3536. 16 indexed citations

Li, Qiang, Zhange Li, Lin Yuan, et al.. (2019). High glucose promotes hepatic fibrosis via miR‑32/MTA3‑mediated epithelial‑to‑mesenchymal transition. Molecular Medicine Reports. 19(4). 3190–3200. 14 indexed citations

10.

Xiao, Dan, Tong Zhou, Yujie Fu, et al.. (2018). MicroRNA-17 impairs glucose metabolism in insulin-resistant skeletal muscle via repressing glucose transporter 4 expression. European Journal of Pharmacology. 838. 170–176. 25 indexed citations

11.

Xiao, Dan, Yingying Hu, Yujie Fu, et al.. (2018). Emodin improves glucose metabolism by targeting microRNA-20b in insulin-resistant skeletal muscle. Phytomedicine. 59. 152758–152758. 33 indexed citations

12.

Wu, Xianxian, Haiying Zhang, Wei Qi, et al.. (2018). Nicotine promotes atherosclerosis via ROS-NLRP3-mediated endothelial cell pyroptosis. Cell Death and Disease. 9(2). 171–171. 467 indexed citations breakdown →

13.

Zhang, Yong, Xin Liu, Xue Bai, et al.. (2017). Melatonin prevents endothelial cell pyroptosis via regulation of long noncoding RNA MEG3/miR‐223/NLRP3 axis. Journal of Pineal Research. 64(2). 348 indexed citations

14.

Zhang, Yong, Xianxian Wu, Yang Li, et al.. (2016). Endothelial to mesenchymal transition contributes to arsenic-trioxide-induced cardiac fibrosis. Scientific Reports. 6(1). 33787–33787. 47 indexed citations

15.

Zhang, Tianze, Yingying Hu, Jin Ju, et al.. (2016). Downregulation of miR-522 suppresses proliferation and metastasis of non-small cell lung cancer cells by directly targeting DENN/MADD domain containing 2D. Scientific Reports. 6(1). 19346–19346. 47 indexed citations

16.

Hu, Yingying, Li Zhang, Xianxian Wu, et al.. (2016). Bisphenol A, an environmental estrogen-like toxic chemical, induces cardiac fibrosis by activating the ERK1/2 pathway. Toxicology Letters. 250-251. 1–9. 49 indexed citations

17.

Zhang, Yong, Wei Qin, Longyin Zhang, et al.. (2015). MicroRNA-26a prevents endothelial cell apoptosis by directly targeting TRPC6 in the setting of atherosclerosis. Scientific Reports. 5(1). 9401–9401. 131 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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