Cong Mai

1.4k total citations
36 papers, 1.0k citations indexed

About

Cong Mai is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Cong Mai has authored 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Surgery. Recurrent topics in Cong Mai's work include Pancreatic and Hepatic Oncology Research (4 papers), ZnO doping and properties (4 papers) and Cancer, Lipids, and Metabolism (3 papers). Cong Mai is often cited by papers focused on Pancreatic and Hepatic Oncology Research (4 papers), ZnO doping and properties (4 papers) and Cancer, Lipids, and Metabolism (3 papers). Cong Mai collaborates with scholars based in China, United States and Vietnam. Cong Mai's co-authors include Kenan Gündoğdu, Yuriy G. Semenov, Yifei Yu, Andrew Barrette, Linyou Cao, K. W. Kim, Yunqiang Tang, Zhenghe Jin, Yuanfeng Gong and Hui Tang and has published in prestigious journals such as Nano Letters, Applied Physics Letters and PLoS ONE.

In The Last Decade

Cong Mai

36 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Mai China 14 552 402 215 106 98 36 1.0k
Shichao Lv China 22 427 0.8× 241 0.6× 445 2.1× 111 1.0× 139 1.4× 83 1.4k
J. Pohl Germany 15 305 0.6× 468 1.2× 109 0.5× 211 2.0× 48 0.5× 56 978
Yoshihito Takahashi Japan 19 315 0.6× 333 0.8× 199 0.9× 58 0.5× 50 0.5× 70 1.2k
Shigeyuki Matsumoto Japan 15 172 0.3× 183 0.5× 324 1.5× 107 1.0× 45 0.5× 65 798
Chul Kim South Korea 16 312 0.6× 115 0.3× 117 0.5× 319 3.0× 30 0.3× 49 915
Yu‐Hsuan Kuo Taiwan 16 355 0.6× 943 2.3× 252 1.2× 642 6.1× 65 0.7× 75 1.6k
Yang Ding China 17 344 0.6× 253 0.6× 219 1.0× 36 0.3× 160 1.6× 65 818
Marina Serra Italy 14 143 0.3× 140 0.3× 102 0.5× 105 1.0× 68 0.7× 41 540
Masao Yano Japan 16 101 0.2× 262 0.7× 269 1.3× 171 1.6× 54 0.6× 59 1.2k
R. Büttner Germany 16 225 0.4× 97 0.2× 192 0.9× 27 0.3× 47 0.5× 51 1.0k

Countries citing papers authored by Cong Mai

Since Specialization
Citations

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

Fields of papers citing papers by Cong Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Mai

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Mai. A scholar is included among the top collaborators of Cong Mai 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 Cong Mai. Cong Mai 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.
Liang, Xiaoting, Qian Han, Haiwei He, et al.. (2025). Exosomal miR-202-5p derived from iPSC-MSCs protects against myocardial infarction through inhibition of cardiomyocyte pyroptosis. Stem Cell Research & Therapy. 16(1). 282–282. 2 indexed citations
2.
Hong, Yimei, Xiaoting Liang, Cong Mai, et al.. (2024). ALDH2 regulates mesenchymal stem cell senescence via modulation of mitochondrial homeostasis. Free Radical Biology and Medicine. 223. 172–183. 2 indexed citations
3.
Zeng, Weiyue, Cong Mai, Linli Shi, et al.. (2024). Ciprofloxacin Accelerates Angiotensin-II-Induced Vascular Smooth Muscle Cells Senescence Through Modulating AMPK/ROS pathway in Aortic Aneurysm and Dissection. Cardiovascular Toxicology. 24(9). 889–903. 4 indexed citations
4.
Ma, Jun, Haojie Liu, Yi Zhang, et al.. (2024). Microscale fiber photoacoustic spectroscopy for in situ and real-time trace gas sensing. Advanced Photonics. 6(6). 32 indexed citations
5.
Liu, Baojuan, Cong Mai, Jiaqi Chen, et al.. (2023). TRAF3IP2 drives mesenchymal stem cell senescence via regulation of NAMPT-mediated NAD biosynthesis. Heliyon. 9(9). e19505–e19505. 1 indexed citations
6.
Hu, Xuejiao, Peng Han, Suling Liu, et al.. (2023). Novel Clinical mNGS-Based Machine Learning Model for Rapid Antimicrobial Susceptibility Testing of Acinetobacter baumannii. Journal of Clinical Microbiology. 61(5). e0180522–e0180522. 28 indexed citations
7.
Hong, Yimei, Cong Mai, Zicong Wu, et al.. (2023). Transcriptome analysis reveals therapeutic potential of NAMPT in protecting against abdominal aortic aneurysm in human and mouse. Bioactive Materials. 34. 17–36. 8 indexed citations
8.
Li, Honghui, et al.. (2023). Photoacoustic Microscopic Imaging of Cerebral Vessels for Intensive Monitoring of Metabolic Acidosis. Molecular Imaging and Biology. 25(4). 659–670. 7 indexed citations
9.
10.
Liang, Xiaoting, Qian Han, Cong Mai, et al.. (2022). Apelin-13 Pretreatment Promotes the Cardioprotective Effect of Mesenchymal Stem Cells against Myocardial Infarction by Improving Their Survival. Stem Cells International. 2022. 1–15. 12 indexed citations
11.
Liang, Xiaoting, Qian Han, Yuxiao Zhang, et al.. (2021). Hemin enhances the cardioprotective effects of mesenchymal stem cell-derived exosomes against infarction via amelioration of cardiomyocyte senescence. Journal of Nanobiotechnology. 19(1). 332–332. 70 indexed citations
12.
Wang, Kun, Yujuan Zhan, Cong Mai, et al.. (2020). <p>Screening and Identification of Potential Biomarkers for Hepatocellular Carcinoma: An Analysis of TCGA Database and Clinical Validation</p>. Cancer Management and Research. Volume 12. 1991–2000. 4 indexed citations
13.
Deng, Yujun, Jie Yuan, Heng Ye, et al.. (2017). The Incidence, Risk Factors and Outcomes of Postoperative Acute Kidney Injury in Neurosurgical Critically Ill Patients. Scientific Reports. 7(1). 4245–4245. 50 indexed citations
14.
Gong, Yuanfeng, Quanbo Zhou, Yadi Liao, et al.. (2017). Optimized construction of MUC1-VNTRn DNA vaccine and its anti-pancreatic cancer efficacy. Oncology Letters. 13(4). 2198–2206. 10 indexed citations
15.
16.
Gong, Yuanfeng, Siying Li, Yunqiang Tang, et al.. (2014). Cholelithiasis and risk of pancreatic cancer: systematic review and meta-analysis of 21 observational studies. Cancer Causes & Control. 25(11). 1543–1551. 9 indexed citations
17.
Yan, Zheng, Wei Wang, Ke Pan, et al.. (2014). Reduced Expression of Uroplakin 1A Is Associated with the Poor Prognosis of Gastric Adenocarcinoma Patients. PLoS ONE. 9(4). e93073–e93073. 14 indexed citations
18.
Jiang, Peng, Yunqiang Tang, Lu He, et al.. (2014). Aberrant expression of nuclear KPNA2 is correlated with early recurrence and poor prognosis in patients with small hepatocellular carcinoma after hepatectomy. Medical Oncology. 31(8). 131–131. 30 indexed citations
19.
Mai, Cong, et al.. (2014). Decreased ITIH5 expression is associated with poor prognosis in primary gastric cancer. Medical Oncology. 31(7). 53–53. 12 indexed citations
20.
Wang, Peng, Cong Mai, Jing-Jing Zhao, et al.. (2013). Decreased expression of the mitochondrial metabolic enzyme aconitase (ACO2) is associated with poor prognosis in gastric cancer. Medical Oncology. 30(2). 552–552. 42 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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