Ming He

3.9k total citations · 1 hit paper
88 papers, 2.8k citations indexed

About

Ming He is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Ming He has authored 88 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 20 papers in Cancer Research and 13 papers in Epidemiology. Recurrent topics in Ming He's work include Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (9 papers) and RNA modifications and cancer (7 papers). Ming He is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (9 papers) and RNA modifications and cancer (7 papers). Ming He collaborates with scholars based in China, Thailand and United States. Ming He's co-authors include Wei Han, Guoqiang Chen, Qian Zhao, Ci-Xiang Zhou, Jinling Li, Jianrong He, Yifan Gu, Yongjun Liang, Qiuyu Wang and Xiaofei An and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Cell Metabolism.

In The Last Decade

Ming He

81 papers receiving 2.8k citations

Hit Papers

An Acetylation Switch of the NLRP3 Inflammasome Regulates... 2020 2026 2022 2024 2020 100 200 300
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. An Acetylation Switch of the NLRP3 Inflammasome Regulates Aging-Associated Chronic Inflammation and Insulin Resistance
    2020 310 citations Ming He et al. profile →

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 28 1.4k 844 268 254 243 88 2.8k
Rui Wei China 30 1.6k 1.2× 475 0.6× 261 1.0× 260 1.0× 210 0.9× 116 3.6k
Xiaoqin Zhang China 32 1.9k 1.3× 1.1k 1.4× 258 1.0× 120 0.5× 194 0.8× 167 3.4k
Antonio Rodríguez‐Ariza Spain 33 1.2k 0.9× 551 0.7× 227 0.8× 212 0.8× 344 1.4× 86 3.1k
Bin Yang China 27 1.2k 0.9× 730 0.9× 213 0.8× 82 0.3× 284 1.2× 108 2.3k
Aihua Gu China 31 1.1k 0.8× 384 0.5× 208 0.8× 348 1.4× 89 0.4× 126 3.3k
Fang Zhang China 35 1.9k 1.4× 405 0.5× 240 0.9× 478 1.9× 409 1.7× 80 4.3k
Jiao Meng China 30 1.3k 0.9× 538 0.6× 202 0.8× 444 1.7× 246 1.0× 82 2.7k
Yan Ding China 33 1.6k 1.2× 402 0.5× 541 2.0× 89 0.4× 285 1.2× 124 3.5k
Dongmei Wu China 37 2.0k 1.4× 448 0.5× 474 1.8× 174 0.7× 247 1.0× 130 4.0k
Xiaofei Lv China 31 1.0k 0.7× 277 0.3× 224 0.8× 161 0.6× 148 0.6× 85 2.4k

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
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Zhang, Yingting, Zhihui Zou, Yunqiu Wang, et al.. (2024). Targeting SIRT2 in Aging-Associated Fibrosis Pathophysiology. Aging and Disease. 16(4). 2036–2036. 4 indexed citations
4.
Guo, Zengya, Xi‐Dai Long, Yingting Zhang, et al.. (2023). SIRT2 regulates extracellular vesicle-mediated liver–bone communication. Nature Metabolism. 5(5). 821–841. 56 indexed citations
5.
Wo, Lulu, Xin Zhang, Ci-Xiang Zhou, et al.. (2022). LncRNA HABON promoted liver cancer cells survival under hypoxia by inhibiting mPTP opening. Cell Death Discovery. 8(1). 171–171. 14 indexed citations
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Wang, Siyuan, et al.. (2022). Emerging role of aging in the progression of NAFLD to HCC. Ageing Research Reviews. 84. 101833–101833. 57 indexed citations
8.
Miao, Jianing, et al.. (2021). d-Mannose suppresses osteoarthritis development in vivo and delays IL-1β-induced degeneration in vitro by enhancing autophagy activated via the AMPK pathway. Biomedicine & Pharmacotherapy. 135. 111199–111199. 27 indexed citations
9.
Miao, Jianing, Tao Zhang, Ming He, et al.. (2021). JUNB‐FBXO21‐ERK axis promotes cartilage degeneration in osteoarthritis by inhibiting autophagy. Aging Cell. 20(2). e13306–e13306. 73 indexed citations
10.
Fan, Weijun, et al.. (2020). 1012P Analysis of tumor location related oncologic characteristics of hepatocellular carcinoma. Annals of Oncology. 31. S701–S701. 1 indexed citations
11.
Tang, Jun, Jianrong He, Guoqiang Chen, et al.. (2017). MicroRNA-630 inhibits breast cancer progression by directly targeting BMI1. Experimental Cell Research. 362(2). 378–385. 18 indexed citations
12.
He, Ming, et al.. (2016). Noscapine targets EGFRp-Tyr1068 to suppress the proliferation and invasion of MG63 cells. Scientific Reports. 6(1). 37062–37062. 18 indexed citations
13.
Yang, Zhan, Bin Zheng, Yu Zhang, et al.. (2015). miR-155-dependent regulation of mammalian sterile 20-like kinase 2 (MST2) coordinates inflammation, oxidative stress and proliferation in vascular smooth muscle cells. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1852(7). 1477–1489. 49 indexed citations
14.
Liang, Yongjun, Qiuyu Wang, Ci-Xiang Zhou, et al.. (2012). MiR-124 targets Slug to regulate epithelial–mesenchymal transition and metastasis of breast cancer. Carcinogenesis. 34(3). 713–722. 169 indexed citations
15.
Zhang, Bailin, Cheng Zhou, Minggao Guo, et al.. (2010). Pathologically decreased miR-26a antagonizes apoptosis and facilitates carcinogenesis by targeting MTDH and EZH2 in breast cancer. Carcinogenesis. 32(1). 2–9. 186 indexed citations
16.
Han, Wei & Ming He. (2010). The application of exogenous cellulase to improve soil fertility and plant growth due to acceleration of straw decomposition. Bioresource Technology. 101(10). 3724–3731. 77 indexed citations
17.
Yan, Ming, et al.. (2009). Central administration of kisspeptin-10 inhibits natriuresis and diuresis induced by blood volume expansion in anesthetized male rats. Acta Pharmacologica Sinica. 31(2). 145–149. 15 indexed citations
18.
Sun, Shouqin, et al.. (2009). Antioxidative responses related to H2O2 depletion in Hypnum plumaeforme under the combined stress induced by Pb and Ni. Environmental Monitoring and Assessment. 163(1-4). 303–312. 30 indexed citations
19.
Yin, Chunsheng, et al.. (2008). A Technology for Rapid Reconstruction of Moss-Dominated Soil Crusts. Environmental Engineering Science. 25(8). 1129–1138. 42 indexed citations
20.
Sun, Shouqin, Ming He, Tong Cao, Youchi Zhang, & Wei Han. (2008). Response mechanisms of antioxidants in bryophyte (Hypnum plumaeforme) under the stress of single or combined Pb and/or Ni. Environmental Monitoring and Assessment. 149(1-4). 291–302. 50 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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