Zhongni Liu

528 total citations
9 papers, 391 citations indexed

About

Zhongni Liu is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Zhongni Liu has authored 9 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Zhongni Liu's work include Autophagy in Disease and Therapy (3 papers), Extracellular vesicles in disease (2 papers) and Heme Oxygenase-1 and Carbon Monoxide (2 papers). Zhongni Liu is often cited by papers focused on Autophagy in Disease and Therapy (3 papers), Extracellular vesicles in disease (2 papers) and Heme Oxygenase-1 and Carbon Monoxide (2 papers). Zhongni Liu collaborates with scholars based in China. Zhongni Liu's co-authors include Liming Yang, Yinghong Zheng, Yueqing Jiang, Jiayuan Kou, Zhaoyu Zhong, Ye Tian, Xiaobo Han, Hong Li, Rui Wang and Xuesong Li and has published in prestigious journals such as Scientific Reports, Cell Death and Disease and International Journal of Nanomedicine.

In The Last Decade

Zhongni Liu

9 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhongni Liu China	9	138	112	105	104	63	9	391
Yinghong Zheng China	8	174 1.3×	116 1.0×	124 1.2×	75 0.7×	59 0.9×	13	442
Caixia Lin China	12	171 1.2×	44 0.4×	76 0.7×	51 0.5×	47 0.7×	17	473
Aimin Huang China	10	129 0.9×	36 0.3×	53 0.5×	82 0.8×	35 0.6×	15	380
Qianmei Wang China	13	147 1.1×	48 0.4×	70 0.7×	41 0.4×	36 0.6×	31	401
Wenhao Han China	14	378 2.7×	38 0.3×	107 1.0×	50 0.5×	52 0.8×	20	660
Guan Lian China	7	241 1.7×	63 0.6×	206 2.0×	26 0.3×	102 1.6×	9	536
Jinxing Liu China	11	171 1.2×	66 0.6×	65 0.6×	51 0.5×	30 0.5×	45	463
Ayed Allawzi United States	15	192 1.4×	50 0.4×	55 0.5×	58 0.6×	226 3.6×	19	547
Zhiping Rao China	7	383 2.8×	54 0.5×	122 1.2×	67 0.6×	88 1.4×	12	529

Countries citing papers authored by Zhongni Liu

Since Specialization

Citations

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

Fields of papers citing papers by Zhongni Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongni Liu

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

All Works

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9 of 9 papers shown

Liu, Zhongni, et al.. (2020). Galectin‐3 Is a Potential Mediator for Atherosclerosis. Journal of Immunology Research. 2020(1). 5284728–5284728. 90 indexed citations

Han, Xiaobo, Jiayuan Kou, Yinghong Zheng, et al.. (2019). ROS Generated by Upconversion Nanoparticle-Mediated Photodynamic Therapy Induces Autophagy via PI3K/AKT/Mtor Signaling Pathway in M1 Peritoneal Macrophage. Cellular Physiology and Biochemistry. 52(6). 1325–1338. 24 indexed citations

Liu, Huamin, Yan Yao, Youxin Wang, et al.. (2019). Ideal cardiovascular health metrics and the risk of non‐alcoholic fatty liver disease: A cross‐sectional study in northern China. Liver International. 39(5). 950–955. 18 indexed citations

Liu, Zhongni, Hong Li, Yinghong Zheng, et al.. (2018). Association of Lipoprotein-Associated Phospholipase A2 with the Prevalence of Nonalcoholic Fatty Liver Disease: A Result from the APAC Study. Scientific Reports. 8(1). 10127–10127. 13 indexed citations

Jiang, Yueqing, Jiayuan Kou, Xiaobo Han, et al.. (2017). ROS‐Dependent Activation of Autophagy through the PI3K/Akt/mTOR Pathway Is Induced by Hydroxysafflor Yellow A‐Sonodynamic Therapy in THP‐1 Macrophages. Oxidative Medicine and Cellular Longevity. 2017(1). 8519169–8519169. 84 indexed citations

Li, Xuesong, Xin Zhang, Jiayuan Kou, et al.. (2016). Hypericin-mediated sonodynamic therapy induces autophagy and decreases lipids in THP-1 macrophage by promoting ROS-dependent nuclear translocation of TFEB. Cell Death and Disease. 7(12). e2527–e2527. 69 indexed citations

Zheng, Xiufeng, Jinrong Wu, Qun Shao, et al.. (2016). Apoptosis of THP-1 Macrophages Induced by Pseudohypericin-Mediated Sonodynamic Therapy Through the Mitochondria-Caspase Pathway. Cellular Physiology and Biochemistry. 38(2). 545–557. 17 indexed citations

Li, Ying, Xuesong Li, Jiayuan Kou, et al.. (2016). Combination of Hydroxyl Acetylated Curcumin and Ultrasound Induces Macrophage Autophagy with Anti-Apoptotic and Anti-Lipid Aggregation Effects. Cellular Physiology and Biochemistry. 39(5). 1746–1760. 32 indexed citations

Yang, Li‐Ming, Xing Zhu, Hao Wang, et al.. (2015). Upconversion nanoparticle-mediated photodynamic therapy induces THP-1 macrophage apoptosis via ROS bursts and activation of the mitochondrial caspase pathway. International Journal of Nanomedicine. 10. 3719–3719. 44 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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