Jingyu Ni

1.2k total citations · 1 hit paper
25 papers, 950 citations indexed

About

Jingyu Ni is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Jingyu Ni has authored 25 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Cardiology and Cardiovascular Medicine and 5 papers in Surgery. Recurrent topics in Jingyu Ni's work include Cardiac Fibrosis and Remodeling (7 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Mitochondrial Function and Pathology (3 papers). Jingyu Ni is often cited by papers focused on Cardiac Fibrosis and Remodeling (7 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Mitochondrial Function and Pathology (3 papers). Jingyu Ni collaborates with scholars based in China, United States and Malaysia. Jingyu Ni's co-authors include Guanwei Fan, Lan Li, Xiumei Gao, Yan Zhu, Jingyuan Mao, Zhihao Liu, Lan Li, Shan Gao, Guanwei Fan and Meifeng Zhu and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and Journal of Controlled Release.

In The Last Decade

Jingyu Ni

24 papers receiving 944 citations

Hit Papers

M2 Macrophage‐Derived sEV... 2023 2026 2024 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingyu Ni China 17 455 214 134 126 111 25 950
Lan Li China 13 388 0.9× 202 0.9× 164 1.2× 95 0.8× 121 1.1× 25 908
Jiazhen Zhu China 18 436 1.0× 145 0.7× 154 1.1× 77 0.6× 120 1.1× 57 1.1k
Yuan Du China 24 781 1.7× 237 1.1× 99 0.7× 171 1.4× 180 1.6× 68 1.5k
Liang Yang China 22 543 1.2× 162 0.8× 70 0.5× 176 1.4× 154 1.4× 53 1.2k
Beidong Chen China 20 349 0.8× 167 0.8× 146 1.1× 93 0.7× 153 1.4× 37 939
Dongqing Guo China 22 755 1.7× 345 1.6× 219 1.6× 96 0.8× 93 0.8× 47 1.3k
Lei Peng China 21 570 1.3× 100 0.5× 130 1.0× 145 1.2× 202 1.8× 49 1.4k
Sijin Yang China 18 489 1.1× 78 0.4× 109 0.8× 57 0.5× 121 1.1× 75 981
Domenica Rea Italy 24 745 1.6× 444 2.1× 53 0.4× 155 1.2× 149 1.3× 52 1.8k

Countries citing papers authored by Jingyu Ni

Since Specialization
Citations

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

Fields of papers citing papers by Jingyu Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyu Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyu Ni. A scholar is included among the top collaborators of Jingyu Ni 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 Jingyu Ni. Jingyu Ni 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.
Ni, Jingyu, Ziyi Wang, Lan Li, et al.. (2025). Kang Shuai Lao Pian exerts anti-aging effects by enhancing mitochondrial oxidative metabolism. Phytomedicine. 148. 157376–157376.
2.
Wang, Xiaodan, et al.. (2023). Distinct roles of telomerase activity in age-related chronic diseases: An update literature review. Biomedicine & Pharmacotherapy. 167. 115553–115553. 7 indexed citations
3.
Li, Lan, Jiasong Cao, Sheng Li, et al.. (2023). M2 Macrophage‐Derived sEV Regulate Pro‐Inflammatory CCR2 + Macrophage Subpopulations to Favor Post‐AMI Cardiac Repair. Advanced Science. 10(14). 60 indexed citations breakdown →
4.
Wang, Xiao, Yuting Huang, Kai Zhang, et al.. (2023). Changes of energy metabolism in failing heart and its regulation by SIRT3. Heart Failure Reviews. 28(4). 977–992. 9 indexed citations
5.
Ni, Jingyu, Hao Zhang, Xiaodan Wang, et al.. (2022). Rg3 regulates myocardial pyruvate metabolism via P300-mediated dihydrolipoamide dehydrogenase 2-hydroxyisobutyrylation in TAC-induced cardiac hypertrophy. Cell Death and Disease. 13(12). 1073–1073. 20 indexed citations
7.
Zhang, Haixia, Ke Yang, Feng Chen, et al.. (2022). Role of the CCL2-CCR2 axis in cardiovascular disease: Pathogenesis and clinical implications. Frontiers in Immunology. 13. 975367–975367. 79 indexed citations
8.
Liu, Wei, Qiang Xu, Rui Guo, et al.. (2021). Tianma Gouteng Decoction regulates oxidative stress and inflammation in AngII-induced hypertensive mice via transcription factor EB to exert anti-hypertension effect. Biomedicine & Pharmacotherapy. 145. 112383–112383. 22 indexed citations
9.
Wang, Xiaodan, Jingyu Ni, Rui Guo, et al.. (2021). SGLT2 inhibitors break the vicious circle between heart failure and insulin resistance: targeting energy metabolism. Heart Failure Reviews. 27(3). 961–980. 30 indexed citations
10.
Ni, Jingyu, Zhihao Liu, Miaomiao Jiang, et al.. (2021). Ginsenoside Rg3 ameliorates myocardial glucose metabolism and insulin resistance via activating the AMPK signaling pathway. Journal of Ginseng Research. 46(2). 235–247. 20 indexed citations
11.
Huang, Yuting, Jingyu Ni, Jingrui Chen, et al.. (2020). Qi Dan Li Xin pill improves chronic heart failure by regulating mTOR/p70S6k-mediated autophagy and inhibiting apoptosis. Scientific Reports. 10(1). 6105–6105. 16 indexed citations
12.
Huang, Yuting, Miaomiao Jiang, Jingyu Ni, et al.. (2020). Regulation of energy metabolism by combination therapy attenuates cardiac metabolic remodeling in heart failure. International Journal of Biological Sciences. 16(16). 3133–3148. 25 indexed citations
13.
Chen, Jingrui, Jing Wei, John Orgah, et al.. (2019). Cardioprotective Effect of Danhong Injection against Myocardial Infarction in Rats Is Critically Contributed by MicroRNAs. Evidence-based Complementary and Alternative Medicine. 2019. 1–14. 8 indexed citations
15.
Jiang, Miaomiao, et al.. (2019). Astragaloside IV Attenuates Myocardial Ischemia-Reperfusion Injury from Oxidative Stress by Regulating Succinate, Lysophospholipid Metabolism, and ROS Scavenging System. Oxidative Medicine and Cellular Longevity. 2019. 1–17. 54 indexed citations
16.
Gao, Shan, Lingyan Li, Lan Li, et al.. (2019). Effects of the combination of tanshinone IIA and puerarin on cardiac function and inflammatory response in myocardial ischemia mice. Journal of Molecular and Cellular Cardiology. 137. 59–70. 75 indexed citations
17.
Liu, Zhihao, Jingyu Ni, Lan Li, et al.. (2019). SERCA2a: a key protein in the Ca2+ cycle of the heart failure. Heart Failure Reviews. 25(3). 523–535. 112 indexed citations
18.
Chen, Jingrui, Jing Wei, Yu‐Ting Huang, et al.. (2018). Danhong Injection Enhances the Therapeutic Efficacy of Mesenchymal Stem Cells in Myocardial Infarction by Promoting Angiogenesis. Frontiers in Physiology. 9. 991–991. 19 indexed citations
19.
Li, Lan, Jingyu Ni, Min Li, et al.. (2017). Ginsenoside Rg3 micelles mitigate doxorubicin-induced cardiotoxicity and enhance its anticancer efficacy. Drug Delivery. 24(1). 1617–1630. 56 indexed citations
20.
Ni, Jingyu, Yang Shi, Li Lan, et al.. (2017). Cardioprotection against Heart Failure by Shenfu Injection via TGF‐β/Smads Signaling Pathway. Evidence-based Complementary and Alternative Medicine. 2017(1). 7083016–7083016. 20 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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