Ming He

1.7k total citations
58 papers, 973 citations indexed

About

Ming He is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Ming He has authored 58 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 13 papers in Immunology and 12 papers in Surgery. Recurrent topics in Ming He's work include Cancer-related molecular mechanisms research (9 papers), Atherosclerosis and Cardiovascular Diseases (8 papers) and Kruppel-like factors research (6 papers). Ming He is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), Atherosclerosis and Cardiovascular Diseases (8 papers) and Kruppel-like factors research (6 papers). Ming He collaborates with scholars based in China, United States and Taiwan. Ming He's co-authors include Marcy Martin, Zhen Chen, Humaira Gowher, Lama AlAbdi, Zuyi Yuan, Brendan Gongol, Traci Marin, Jian Kang, Panjamaporn Sangwung and Shu Chien and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ming He

53 papers receiving 968 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming He China 20 528 198 193 167 135 58 973
Chen Shao China 20 545 1.0× 230 1.2× 153 0.8× 101 0.6× 98 0.7× 68 1.1k
Vincenzo Grimaldi Italy 21 554 1.0× 153 0.8× 193 1.0× 281 1.7× 69 0.5× 68 1.3k
Chao Fang China 18 323 0.6× 199 1.0× 105 0.5× 91 0.5× 107 0.8× 56 989
Yudong Ji China 13 551 1.0× 220 1.1× 206 1.1× 97 0.6× 44 0.3× 17 860
Dil Afroze India 17 492 0.9× 144 0.7× 192 1.0× 136 0.8× 104 0.8× 53 997
Alexandre Kauskot France 22 379 0.7× 192 1.0× 80 0.4× 145 0.9× 138 1.0× 46 1.4k
Ning Dai United States 12 847 1.6× 222 1.1× 388 2.0× 102 0.6× 69 0.5× 15 1.2k
Xin Yan China 17 384 0.7× 95 0.5× 128 0.7× 72 0.4× 271 2.0× 36 753
Fernando Martínez Spain 17 469 0.9× 169 0.9× 95 0.5× 68 0.4× 69 0.5× 27 928

Countries citing papers authored by Ming He

Since Specialization
Citations

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

Fields of papers citing papers by Ming He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming He

This figure shows the co-authorship network connecting the top 25 collaborators of Ming He. A scholar is included among the top collaborators of Ming He 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 Ming He. Ming He 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.
Zhao, Guojun, Yajuan Li, Shijie Qin, et al.. (2025). METTL3 mediates atheroprone flow–induced glycolysis in endothelial cells. Proceedings of the National Academy of Sciences. 122(19). e2424796122–e2424796122. 4 indexed citations
2.
He, Ming, Yuqing Zhang, Chen Wang, et al.. (2023). Epitranscriptomic Modification of MicroRNA Increases Atherosclerosis Susceptibility. Circulation. 148(22). 1819–1822. 5 indexed citations
3.
Ma, Xiaoping, Wanling Yang, Chengdong Wang, et al.. (2023). Metabolome and Transcriptome Combinatory Profiling Reveals Fluconazole Resistance Mechanisms of Trichosporon asahii and the Role of Farnesol in Fluconazole Tolerance. Microorganisms. 11(11). 2798–2798. 3 indexed citations
4.
Kim, Jihoon, et al.. (2023). Endothelial Cell Response in Kawasaki Disease and Multisystem Inflammatory Syndrome in Children. International Journal of Molecular Sciences. 24(15). 12318–12318. 4 indexed citations
5.
Guo, Bin, et al.. (2023). Distal-continual colon interposition for esophageal reconstruction after esophagectomy: Two case reports. Frontiers in Surgery. 10. 1098583–1098583.
6.
Shimizu, Chisato, Jihoon Kim, Ming He, et al.. (2022). RNA Sequencing Reveals Beneficial Effects of Atorvastatin on Endothelial Cells in Acute Kawasaki Disease. Journal of the American Heart Association. 11(14). e025408–e025408. 7 indexed citations
7.
Liu, Song, Caiwu Li, Wenjun Yan, et al.. (2022). Using Blood Transcriptome Analysis to Determine the Changes in Immunity and Metabolism of Giant Pandas with Age. Veterinary Sciences. 9(12). 667–667. 1 indexed citations
8.
Wang, Chen, Jianyu Zhang, Ming He, et al.. (2022). MED1 Regulates BMP/TGF-β in Endothelium: Implication for Pulmonary Hypertension. Circulation Research. 131(10). 828–841. 22 indexed citations
9.
Wang, Shen‐Chih, Yoshitake Cho, Cara R. Schiavon, et al.. (2022). Obstructive Sleep Apnea–induced Endothelial Dysfunction Is Mediated by miR-210. American Journal of Respiratory and Critical Care Medicine. 207(3). 323–335. 15 indexed citations
10.
Li, Caiwu, Ming He, Yan Huang, et al.. (2022). Whole blood transcriptome profiling identifies candidate genes associated with alopecia in male giant pandas (Ailuropoda melanoleuca). BMC Genomics. 23(1). 297–297. 1 indexed citations
11.
Martin, Marcy, Jiao Zhang, Yifei Miao, et al.. (2021). Role of endothelial cells in pulmonary fibrosis via SREBP2 activation. JCI Insight. 6(22). 39 indexed citations
12.
Han, Yue, Ming He, Traci Marin, et al.. (2021). Roles of KLF4 and AMPK in the inhibition of glycolysis by pulsatile shear stress in endothelial cells. Proceedings of the National Academy of Sciences. 118(21). 42 indexed citations
13.
Li, Caiwu, Ming He, Yan Huang, et al.. (2021). Immune profiles of male giant panda (Ailuropoda melanoleuca) during the breeding season. BMC Genomics. 22(1). 143–143. 6 indexed citations
14.
He, Ming, Marcy Martin, Traci Marin, Zhen Chen, & Brendan Gongol. (2020). Endothelial mechanobiology. APL Bioengineering. 4(1). 10904–10904. 26 indexed citations
15.
Li, Jinghong, Qi Wei, Willis X. Li, et al.. (2020). Metformin Use in Diabetes Prior to Hospitalization: Effects on Mortality in Covid-19. Endocrine Practice. 26(10). 1166–1172. 29 indexed citations
16.
Zhu, Ying, Catherine E. Grueber, Yan Li, et al.. (2020). MHC-associated Baylisascaris schroederi load informs the giant panda reintroduction program. International Journal for Parasitology Parasites and Wildlife. 12. 113–120. 6 indexed citations
17.
He, Ming, Liang Xiao, Jianqing She, et al.. (2018). Pu‐erh Tea Ameliorates Atherosclerosis Associated with Promoting Macrophage Apoptosis by Reducing NF‐κB Activation in ApoE Knockout Mice. Oxidative Medicine and Cellular Longevity. 2018(1). 3197829–3197829. 14 indexed citations
18.
AlAbdi, Lama, et al.. (2018). The transcription factor Vezf1 represses the expression of the antiangiogenic factor Cited2 in endothelial cells. Journal of Biological Chemistry. 293(28). 11109–11118. 28 indexed citations
19.
Li, Shuai, Shen‐Chih Wang, Ming He, et al.. (2016). TIFA as a crucial mediator for NLRP3 inflammasome. Proceedings of the National Academy of Sciences. 113(52). 15078–15083. 37 indexed citations
20.
Liang, Xiao, Ming He, Yan Liu, et al.. (2013). Multiple roles of SOCS proteins: Differential expression of SOCS1 and SOCS3 in atherosclerosis. International Journal of Molecular Medicine. 31(5). 1066–1074. 21 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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