Jun‐Ming Tang

3.1k total citations · 1 hit paper
94 papers, 2.4k citations indexed

About

Jun‐Ming Tang is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Jun‐Ming Tang has authored 94 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 18 papers in Surgery and 18 papers in Genetics. Recurrent topics in Jun‐Ming Tang's work include Mesenchymal stem cell research (15 papers), Tissue Engineering and Regenerative Medicine (10 papers) and Angiogenesis and VEGF in Cancer (9 papers). Jun‐Ming Tang is often cited by papers focused on Mesenchymal stem cell research (15 papers), Tissue Engineering and Regenerative Medicine (10 papers) and Angiogenesis and VEGF in Cancer (9 papers). Jun‐Ming Tang collaborates with scholars based in China, United States and Canada. Jun‐Ming Tang's co-authors include Jianye Yang, Xia Kong, Yong-Zhang Huang, Linyun Guo, Fei Zheng, Shi‐You Chen, Jianing Wang, Xuhua Mao, Lei Zhang and Yu Wan and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jun‐Ming Tang

89 papers receiving 2.3k citations

Hit Papers

Altered gut microbial profile is associated with abnormal... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun‐Ming Tang China 29 1.2k 498 369 290 243 94 2.4k
Ying Fan China 28 1.1k 0.9× 329 0.7× 171 0.5× 163 0.6× 122 0.5× 118 2.3k
Jae‐Ryong Kim South Korea 32 1.2k 1.0× 404 0.8× 117 0.3× 253 0.9× 149 0.6× 118 2.9k
Wei Jin China 31 1.3k 1.1× 282 0.6× 126 0.3× 385 1.3× 107 0.4× 75 2.8k
Shinji Goto Japan 31 1.4k 1.2× 407 0.8× 118 0.3× 270 0.9× 81 0.3× 97 3.0k
Claudio Aguayo Chile 24 740 0.6× 343 0.7× 125 0.3× 231 0.8× 151 0.6× 71 2.9k
Kenneth K. Wu United States 21 853 0.7× 446 0.9× 351 1.0× 155 0.5× 59 0.2× 47 2.3k
Yan Liao China 30 1.2k 1.0× 298 0.6× 252 0.7× 662 2.3× 63 0.3× 122 2.7k

Countries citing papers authored by Jun‐Ming Tang

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Ming Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Ming Tang. 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 Jun‐Ming Tang. The network helps show where Jun‐Ming Tang may publish in the future.

Co-authorship network of co-authors of Jun‐Ming Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Ming Tang. A scholar is included among the top collaborators of Jun‐Ming Tang 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 Jun‐Ming Tang. Jun‐Ming Tang 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.
Wu, Hongchun, Hao Fan, Jingjing Li, et al.. (2025). Inhibition of circALPK2 enhances proliferation and therapeutic potential of human pluripotent stem cell-derived cardiomyocytes in myocardial infarction. Stem Cell Research & Therapy. 16(1). 107–107.
2.
Zuo, Hao, Wei Jiang, Jianwei Gao, et al.. (2024). SYISL Knockout Promotes Embryonic Muscle Development of Offspring by Modulating Maternal Gut Microbiota and Fetal Myogenic Cell Dynamics. Advanced Science. 12(6). e2410953–e2410953.
4.
Hu, Lin, Yue Zhang, Jun‐Ming Tang, et al.. (2022). ANGPTL8 is a negative regulator in pathological cardiac hypertrophy. Cell Death and Disease. 13(7). 621–621. 12 indexed citations
5.
Cai, Li, et al.. (2021). Platelet-derived growth factor-BB promotes proliferation, differentiation and migration of skeletal muscle myoblast. Zhongguo zuzhi gongcheng yanjiu yu linchuang kangfu. 25(7). 1050. 1 indexed citations
6.
Wu, Yi, Xianhui Wang, Xihua Li, et al.. (2021). Common mtDNA variations at C5178a and A249d/T6392C/G10310A decrease the risk of severe COVID-19 in a Han Chinese population from Central China. Military Medical Research. 8(1). 15 indexed citations
7.
Yang, Jing, Guoqiang Gu, Qiong Wang, et al.. (2021). Sensorineural Hearing Loss and Mitochondrial Apoptosis of Cochlear Spiral Ganglion Neurons in Fibroblast Growth Factor 13 Knockout Mice. Frontiers in Cellular Neuroscience. 15. 658586–658586. 7 indexed citations
8.
Wang, Zhixiao, Yun He, Wenjun Zhang, et al.. (2020). Qiliqiangxin reduced cardiomyocytes apotosis and improved heart function in infarcted heart through Pink1/Parkin -mediated mitochondrial autophagy. BMC Complementary Medicine and Therapies. 20(1). 203–203. 22 indexed citations
9.
Lv, Yanxia, Bin Luo, Shaojuan Chen, et al.. (2018). VEGF-A and VEGF-B Coordinate the Arteriogenesis to Repair the Infarcted Heart with Vagus Nerve Stimulation. Cellular Physiology and Biochemistry. 48(2). 433–449. 35 indexed citations
10.
Zhang, Lei, Lingling Yao, Fei Zheng, et al.. (2017). S100B promotes injury-induced vascular remodeling through modulating smooth muscle phenotype. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(11). 2772–2782. 30 indexed citations
11.
Tao, Wan, et al.. (2016). Enhanced recovery after surgery programs versus traditional perioperative care in laparoscopic hepatectomy: A meta-analysis. International Journal of Surgery. 36(Pt A). 274–282. 42 indexed citations
12.
Tang, Jun‐Ming, Bin Luo, Junhui Xiao, et al.. (2015). VEGF-A promotes cardiac stem cell engraftment and myocardial repair in the infarcted heart. International Journal of Cardiology. 183. 221–231. 26 indexed citations
13.
Chen, Jinfeng, Song Yang, Xianghai Zhao, et al.. (2014). Association study of common variations of FBN1 gene and essential hypertension in Han Chinese population. Molecular Biology Reports. 41(4). 2257–2264. 3 indexed citations
14.
Tang, Jun‐Ming, Jianing Wang, Lei Zhang, et al.. (2011). VEGF/SDF-1 promotes cardiac stem cell mobilization and myocardial repair in the infarcted heart. Cardiovascular Research. 91(3). 402–411. 207 indexed citations
15.
Tang, Jun‐Ming, Jianing Wang, Fei Zheng, et al.. (2010). Combination of chemokine and angiogenic factor genes and mesenchymal stem cells could enhance angiogenesis and improve cardiac function after acute myocardial infarction in rats. Molecular and Cellular Biochemistry. 339(1-2). 107–118. 61 indexed citations
16.
Tang, Jun‐Ming, Jianing Wang, Yong-Zhang Huang, et al.. (2009). Adenovirus-mediated stromal cell-derived factor-1 alpha gene transfer improves cardiac structure and function after experimental myocardial infarction through angiogenic and antifibrotic actions. Molecular Biology Reports. 37(4). 1957–1969. 29 indexed citations
17.
Tang, Jun‐Ming, Jia‐Ning Wang, Xia Kong, et al.. (2009). Vascular endothelial growth factor promotes cardiac stem cell migration via the PI3K/Akt pathway. Experimental Cell Research. 315(20). 3521–3531. 88 indexed citations
18.
Tang, Jun‐Ming. (2008). TRANSDUCTION OF PEP-1-SOD1 FUSION PROTEIN INTO RAT LIVER TISSUES AND ENZYME ACTIVITY. 1 indexed citations
19.
Shen, Xiaoming, Chonghuai Yan, Di Guo, et al.. (1998). Low-Level Prenatal Lead Exposure and Neurobehavioral Development of Children in the First Year of Life: A Prospective Study in Shanghai. Environmental Research. 79(1). 1–8. 66 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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