Meng Hu

791 total citations
22 papers, 622 citations indexed

About

Meng Hu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Meng Hu has authored 22 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 5 papers in Physiology. Recurrent topics in Meng Hu's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Alzheimer's disease research and treatments (3 papers) and Cell Adhesion Molecules Research (3 papers). Meng Hu is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Alzheimer's disease research and treatments (3 papers) and Cell Adhesion Molecules Research (3 papers). Meng Hu collaborates with scholars based in China, United States and Sweden. Meng Hu's co-authors include Qiang Ding, Pulin Che, Guoqiang Cai, Mei Hu, Hao Hong, Yan Long, Xiaosi Han, Youfeng Yang, Victor J. Thannickal and Tracy Luckhardt and has published in prestigious journals such as Scientific Reports, The FASEB Journal and American Journal Of Pathology.

In The Last Decade

Meng Hu

22 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Hu China 14 238 117 116 72 71 22 622
Elaine Cheng United States 12 137 0.6× 60 0.5× 101 0.9× 84 1.2× 48 0.7× 30 662
Zhi Song China 16 322 1.4× 68 0.6× 102 0.9× 54 0.8× 33 0.5× 42 817
Christina Leibrock Germany 17 350 1.5× 89 0.8× 95 0.8× 19 0.3× 20 0.3× 25 932
Masami Shimizu‐Albergine United States 19 523 2.2× 48 0.4× 104 0.9× 68 0.9× 22 0.3× 25 920
Hongjiao Xu China 16 238 1.0× 29 0.2× 100 0.9× 39 0.5× 31 0.4× 32 576
Urszula Wasik Poland 11 308 1.3× 21 0.2× 214 1.8× 95 1.3× 43 0.6× 15 671
Shingo Iwata Japan 14 157 0.7× 33 0.3× 113 1.0× 62 0.9× 57 0.8× 35 611
Chan Park South Korea 15 129 0.5× 24 0.2× 88 0.8× 53 0.7× 97 1.4× 44 603
Sung Sup Park South Korea 15 332 1.4× 26 0.2× 177 1.5× 24 0.3× 43 0.6× 20 627
Hui Dong China 13 382 1.6× 273 2.3× 61 0.5× 26 0.4× 84 1.2× 25 832

Countries citing papers authored by Meng Hu

Since Specialization
Citations

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

Fields of papers citing papers by Meng Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Hu. A scholar is included among the top collaborators of Meng Hu 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 Meng Hu. Meng Hu 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.
Yu, Xuan, et al.. (2025). Weighted Gene Coexpression Network Analysis Identifies Neutrophil-Related Molecular Subtypes and Their Clinical Significance in Gastric Cancer. Cancer Management and Research. Volume 17. 397–418. 2 indexed citations
2.
Liu, C C, Yingying Li, Yanrong Li, et al.. (2024). Sufficiently activated mature natural killer cells derived from peripheral blood mononuclear cells substantially enhance antitumor activity. Immunity Inflammation and Disease. 12(1). e1143–e1143. 1 indexed citations
3.
Hu, Meng, et al.. (2024). Current status and breakthroughs in treating advanced non-small cell lung cancer with EGFR exon 20 insertion mutations. Frontiers in Immunology. 15. 1399975–1399975. 8 indexed citations
4.
Wang, Yaqi, Chao Sun, Yun Shi, et al.. (2023). High expression of peroxisomal D-bifunctional protein in cytosol regulates apoptosis and energy metabolism of hepatocellular carcinoma cells via PI3K/AKT pathway.. PubMed. 13(5). 1884–1903. 2 indexed citations
5.
Ji, Wei, Zhibo Sun, Yanqing Yang, et al.. (2023). Downregulation of RUNX1-Activated Osteopontin Facilitates Burn Wound Healing by Activating the MAPK Pathways. Journal of Burn Care & Research. 44(6). 1371–1381. 1 indexed citations
6.
Hu, Meng, et al.. (2022). Quercetin acts via the G3BP1/YWHAZ axis to inhibit glycolysis and proliferation in oral squamous cell carcinoma. Toxicology Mechanisms and Methods. 33(2). 141–150. 13 indexed citations
7.
Shi, Lin, et al.. (2021). Swimming Exercise Ameliorates Hypertension-Induced Kidney Dysfunction via Alleviating Renal Interstitial Fibrosis and Apoptosis. Kidney & Blood Pressure Research. 46(2). 219–228. 21 indexed citations
8.
9.
Zhan, Shuqin, Pulin Che, Xueke Zhao, et al.. (2019). Molecular mechanism of tumour necrosis factor alpha regulates hypocretin (orexin) expression, sleep and behaviour. Journal of Cellular and Molecular Medicine. 23(10). 6822–6834. 17 indexed citations
10.
11.
Ding, Qiang, Indhu Subramanian, Tracy Luckhardt, et al.. (2017). Focal adhesion kinase signaling determines the fate of lung epithelial cells in response to TGF-β. American Journal of Physiology-Lung Cellular and Molecular Physiology. 312(6). L926–L935. 23 indexed citations
12.
Zhao, Xueke, Lei Yu, Mingliang Cheng, et al.. (2017). Focal Adhesion Kinase Regulates Hepatic Stellate Cell Activation and Liver Fibrosis. Scientific Reports. 7(1). 4032–4032. 96 indexed citations
13.
Che, Pulin, Youfeng Yang, Xiaosi Han, et al.. (2015). S100A4 promotes pancreatic cancer progression through a dual signaling pathway mediated by Src and focal adhesion kinase. Scientific Reports. 5(1). 8453–8453. 45 indexed citations
14.
Hu, Meng, et al.. (2014). Telmisartan Treatment Ameliorates Memory Deficits in Streptozotocin-Induced Diabetic Mice via Attenuating Cerebral Amyloidosis. Journal of Pharmacological Sciences. 124(4). 418–426. 18 indexed citations
15.
16.
Hu, Meng, Pulin Che, Xiaosi Han, et al.. (2014). Therapeutic Targeting of Src Kinase in Myofibroblast Differentiation and Pulmonary Fibrosis. Journal of Pharmacology and Experimental Therapeutics. 351(1). 87–95. 82 indexed citations
17.
Ding, Qiang, Meng Hu, Youfeng Yang, et al.. (2013). FAK-Related Nonkinase Is a Multifunctional Negative Regulator of Pulmonary Fibrosis. American Journal Of Pathology. 182(5). 1572–1584. 46 indexed citations
18.
Liu, Liping, Tianhua Yan, Liying Jiang, et al.. (2013). Pioglitazone ameliorates memory deficits in streptozotocin-induced diabetic mice by reducing brain β-amyloid through PPARγ activation. Acta Pharmacologica Sinica. 34(4). 455–463. 63 indexed citations
19.
Cai, Guoqiang, Chu‐Fang Chou, Meng Hu, et al.. (2012). Neuronal Wiskott-Aldrich syndrome protein (N-WASP) is critical for formation of α-smooth muscle actin filaments during myofibroblast differentiation. American Journal of Physiology-Lung Cellular and Molecular Physiology. 303(8). L692–L702. 30 indexed citations
20.
Zhan, Shuqin, Guoqiang Cai, Yuping Wang, et al.. (2010). Tumor necrosis factor-alpha regulates the Hypocretin system via mRNA degradation and ubiquitination. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1812(4). 565–571. 41 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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