Mingjing Yan

2.0k total citations · 1 hit paper
18 papers, 1.1k citations indexed

About

Mingjing Yan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Mingjing Yan has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Mingjing Yan's work include Electron Spin Resonance Studies (3 papers), Cardiac Ischemia and Reperfusion (3 papers) and Chemotherapy-induced cardiotoxicity and mitigation (3 papers). Mingjing Yan is often cited by papers focused on Electron Spin Resonance Studies (3 papers), Cardiac Ischemia and Reperfusion (3 papers) and Chemotherapy-induced cardiotoxicity and mitigation (3 papers). Mingjing Yan collaborates with scholars based in China and Taiwan. Mingjing Yan's co-authors include Tao Shen, Weiqing Tang, Xiuqing Huang, Jian Li, Lin Dou, Jun Guo, Shenghui Sun, Kun Xu, Yong Man and Que Wang and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Neurochemistry and European Journal of Pharmacology.

In The Last Decade

Mingjing Yan

18 papers receiving 1.1k citations

Hit Papers

Aging and aging-related diseases: from molecular mechanis... 2022 2026 2023 2024 2022 250 500 750
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.

  1. Aging and aging-related diseases: from molecular mechanisms to interventions and treatments
    2022 808 citations Jun Guo, Xiuqing Huang et al. Signal Transduction and Targeted Therapy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingjing Yan China 10 467 266 155 105 98 18 1.1k
Lin Dou China 13 540 1.2× 293 1.1× 134 0.9× 105 1.0× 157 1.6× 25 1.3k
Zhenlong Xin China 20 739 1.6× 214 0.8× 107 0.7× 39 0.4× 181 1.8× 27 1.5k
Sharon Phaneuf United States 8 631 1.4× 422 1.6× 270 1.7× 104 1.0× 87 0.9× 8 1.3k
Mark T. Mc Auley United Kingdom 18 465 1.0× 177 0.7× 46 0.3× 105 1.0× 103 1.1× 38 980
Ming-Hui Zou United States 11 386 0.8× 160 0.6× 158 1.0× 23 0.2× 94 1.0× 12 958
Alberto Díaz‐Ruiz Spain 23 601 1.3× 558 2.1× 101 0.7× 75 0.7× 375 3.8× 42 1.5k
Tracey Phillips United States 10 497 1.1× 422 1.6× 403 2.6× 86 0.8× 135 1.4× 12 1.3k
Huan Liang China 19 669 1.4× 306 1.2× 66 0.4× 69 0.7× 142 1.4× 74 1.3k

Countries citing papers authored by Mingjing Yan

Since Specialization
Citations

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

Fields of papers citing papers by Mingjing Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingjing Yan

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

All Works

18 of 18 papers shown
1.
Jia, Na, et al.. (2024). Shock Wave Therapy Alleviates Hypoxia/Reoxygenation‐Induced Cardiomyocyte Injury by Inhibiting Both Apoptosis and Ferroptosis. Analytical Cellular Pathology. 2024(1). 8753898–8753898. 2 indexed citations
2.
Li, Wenlin, Kun Xu, Junpeng Gao, et al.. (2024). The dual functions of the pentacyclic triterpenoid madecassic acid in ameliorating doxorubicin-induced cardiotoxicity and enhancing the antitumor efficacy of doxorubicin. International Journal of Biological Sciences. 20(14). 5396–5414. 3 indexed citations
3.
4.
Xu, Kun, Jiannan Wang, Bing Liu, et al.. (2023). Apigenin alleviates oxidative stress-induced myocardial injury by regulating SIRT1 signaling pathway. European Journal of Pharmacology. 944. 175584–175584. 32 indexed citations
5.
Yan, Mingjing, et al.. (2023). A system based on machine learning for improving sleep. Journal of Neuroscience Methods. 397. 109936–109936. 1 indexed citations
6.
Yuan, Jing, Q. Wang, Zhihong Liu, et al.. (2023). Emotion recognition based on convolutional gated recurrent units with attention. Connection Science. 35(1). 14 indexed citations
7.
8.
Huang, Xiuqing, Mingjing Yan, Hao Chen, et al.. (2023). Better biocompatibility of nitrogen‐doped graphene compared with graphene oxide by reducing cell autophagic flux blockage and cell apoptosis. Journal of Biomedical Materials Research Part A. 112(1). 121–138. 2 indexed citations
9.
Yan, Mingjing, Yuan Cao, Que Wang, et al.. (2022). miR‐488‐3p Protects Cardiomyocytes against Doxorubicin‐Induced Cardiotoxicity by Inhibiting CyclinG1. Oxidative Medicine and Cellular Longevity. 2022(1). 5184135–5184135. 12 indexed citations
10.
Guo, Jun, Xiuqing Huang, Lin Dou, et al.. (2022). Aging and aging-related diseases: from molecular mechanisms to interventions and treatments. Signal Transduction and Targeted Therapy. 7(1). 391–391. 808 indexed citations breakdown →
11.
Xu, Kun, Shenghui Sun, Mingjing Yan, et al.. (2022). DDX5 and DDX17—multifaceted proteins in the regulation of tumorigenesis and tumor progression. Frontiers in Oncology. 12. 943032–943032. 38 indexed citations
12.
Sun, Shenghui, Kun Xu, Mingjing Yan, et al.. (2022). Delphinidin induces autophagic flux blockage and apoptosis by inhibiting both multidrug resistance gene 1 and DEAD-box helicase 17 expressions in liver cancer cells. Journal of Pharmacy and Pharmacology. 75(2). 253–263. 8 indexed citations
13.
Yan, Mingjing, Shenghui Sun, Kun Xu, et al.. (2021). Cardiac Aging: From Basic Research to Therapeutics. Oxidative Medicine and Cellular Longevity. 2021(1). 9570325–9570325. 61 indexed citations
14.
Sun, Shenghui, et al.. (2021). Ferulic Acid Alleviates Oxidative Stress-Induced Cardiomyocyte Injury by the Regulation of miR-499-5p/p21 Signal Cascade. Evidence-based Complementary and Alternative Medicine. 2021. 1–15. 12 indexed citations
15.
Yu, Xiaoxue, Yang Ruan, Tao Shen, et al.. (2020). Dexrazoxane Protects Cardiomyocyte from Doxorubicin‐Induced Apoptosis by Modulating miR‐17‐5p. BioMed Research International. 2020(1). 5107193–5107193. 43 indexed citations
16.
Yan, Mingjing, et al.. (2020). Individual Tree Location Detection by High-Resolution RGB Satellite Imagery in Urban Area. 139–143. 3 indexed citations
17.
Yu, Xiaoxue, Yang Ruan, Xiuqing Huang, et al.. (2019). Dexrazoxane ameliorates doxorubicin-induced cardiotoxicity by inhibiting both apoptosis and necroptosis in cardiomyocytes. Biochemical and Biophysical Research Communications. 523(1). 140–146. 75 indexed citations
18.
Wang, Que, Xiaoxue Yu, Lin Dou, et al.. (2019). miR-154-5p Functions as an Important Regulator of Angiotensin II-Mediated Heart Remodeling. Oxidative Medicine and Cellular Longevity. 2019. 1–16. 24 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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