Ming Han

522 total citations
25 papers, 396 citations indexed

About

Ming Han is a scholar working on Epidemiology, Molecular Biology and Hepatology. According to data from OpenAlex, Ming Han has authored 25 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 10 papers in Molecular Biology and 8 papers in Hepatology. Recurrent topics in Ming Han's work include Liver Disease Diagnosis and Treatment (7 papers), Liver physiology and pathology (6 papers) and Hepatitis B Virus Studies (5 papers). Ming Han is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Liver physiology and pathology (6 papers) and Hepatitis B Virus Studies (5 papers). Ming Han collaborates with scholars based in China, Philippines and Belgium. Ming Han's co-authors include Jun Cheng, Shunai Liu, Xiaoxue Yuan, Li Zhou, Kai Han, Jing Zhao, Yanhua Ma, Na Duan, Zitong Wang and Shuling Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Cellular and Molecular Life Sciences.

In The Last Decade

Ming Han

22 papers receiving 395 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 Han China 12 199 141 99 78 46 25 396
Marta Iruarrizaga‐Lejarreta Spain 14 252 1.3× 187 1.3× 60 0.6× 79 1.0× 10 0.2× 22 516
Alejandra Hernández Chile 10 153 0.8× 164 1.2× 65 0.7× 55 0.7× 11 0.2× 16 332
Jingxian Gu China 14 307 1.5× 71 0.5× 262 2.6× 47 0.6× 18 0.4× 19 548
Yaqi Xing China 4 243 1.2× 64 0.5× 93 0.9× 10 0.1× 15 0.3× 7 425
Consuelo Sauceda United States 8 173 0.9× 54 0.4× 38 0.4× 13 0.2× 20 0.4× 12 326
Rick D. Fannin United States 8 166 0.8× 53 0.4× 40 0.4× 22 0.3× 7 0.2× 14 392
Rilu Feng China 11 183 0.9× 73 0.5× 20 0.2× 85 1.1× 10 0.2× 21 360
Meiyuan Huang China 11 158 0.8× 32 0.2× 68 0.7× 12 0.2× 16 0.3× 27 351
Leila Khamzina Canada 6 337 1.7× 161 1.1× 37 0.4× 59 0.8× 11 0.2× 7 618
Jiman He China 9 105 0.5× 121 0.9× 26 0.3× 24 0.3× 6 0.1× 25 327

Countries citing papers authored by Ming Han

Since Specialization
Citations

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

Fields of papers citing papers by Ming Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Han

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Han. A scholar is included among the top collaborators of Ming Han 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 Han. Ming Han 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.
Zhang, Yuanyuan, Yifan Xu, Yingying Zhao, et al.. (2025). Featured intestinal microbiota associated with hepatocellular carcinoma in various liver disease states. Frontiers in Immunology. 16. 1674838–1674838.
2.
Yuan, Xiaoxue, Ming Han, Yun Wang, et al.. (2024). TRPV4 promotes HBV replication and capsid assembly via methylation modification of H3K4 and HBc ubiquitin. Journal of Medical Virology. 96(4). e29510–e29510. 4 indexed citations
3.
Yuan, Xiaoxue, Yun Wang, Yu Alex Zhang, et al.. (2024). PreS1BP mediates inhibition of Hepatitis B virus replication by promoting HBx protein degradation. Virus Research. 341. 199326–199326. 2 indexed citations
4.
5.
Zhou, Li, Jing Zhao, Ming Han, et al.. (2023). Aspartate Reduces Liver Inflammation and Fibrosis by Suppressing the NLRP3 Inflammasome Pathway via Upregulating NS3TP1 Expression. Journal of Personalized Medicine. 13(3). 386–386. 5 indexed citations
6.
Cao, Ying, Rui Li, Lan Li, et al.. (2022). Macrophages evoke autophagy of hepatic stellate cells to promote liver fibrosis in NAFLD mice via the PGE2/EP4 pathway. Cellular and Molecular Life Sciences. 79(6). 303–303. 56 indexed citations
7.
Ma, Yanhua, Xiaoxue Yuan, Ming Han, et al.. (2022). miR-98-5p as a novel biomarker suppress liver fibrosis by targeting TGFβ receptor 1. Hepatology International. 16(3). 614–626. 8 indexed citations
8.
Lun, Yongzhi, Zhipeng Pan, Jie Sun, et al.. (2020). The peptide encoded by a novel putative lncRNA HBVPTPAP inducing the apoptosis of hepatocellular carcinoma cells by modulating JAK/STAT signaling pathways. Virus Research. 287. 198104–198104. 29 indexed citations
9.
Yuan, Xiaoxue, Yu Zhang, Ming Han, et al.. (2020). HCBP6 deficiency exacerbates glucose and lipid metabolism disorders in non-alcoholic fatty liver mice. Biomedicine & Pharmacotherapy. 129. 110347–110347. 14 indexed citations
10.
Wang, Yun, Ming Han, Shunai Liu, et al.. (2020). S6K1 inhibits HBV replication through inhibiting AMPK-ULK1 pathway and disrupting acetylation modification of H3K27. Life Sciences. 265. 118848–118848. 12 indexed citations
11.
Wang, Yixuan, Shan Zhang, Ming Han, et al.. (2019). Characteristics of intestinal flora of patients with hepatitis B related decompensated cirrhosis. 13(2). 110–116. 1 indexed citations
12.
Han, Ming, Kai Han, Xiaoxue Yuan, et al.. (2019). XTP8 promotes hepatocellular carcinoma growth by forming a positive feedback loop with FOXM1 oncogene. Biochemical and Biophysical Research Communications. 515(3). 455–461. 5 indexed citations
13.
Zhao, Jing, Ming Han, Li Zhou, et al.. (2019). TAF and TDF attenuate liver fibrosis through NS5ATP9, TGFβ1/Smad3, and NF-κB/NLRP3 inflammasome signaling pathways. Hepatology International. 14(1). 145–160. 20 indexed citations
14.
Zhao, Jing, Yun Wang, Ming Han, et al.. (2019). P7TP3 inhibits tumor development, migration, invasion and adhesion of liver cancer through the Wnt/β‐catenin signaling pathway. Cancer Science. 111(3). 994–1007. 20 indexed citations
15.
Zhang, Tianhui, et al.. (2018). [Surgical Treatment of Bronchial Stricture due to Endobronchial Tuberculosis: 
Results in 36 Consecutive Cases].. SHILAP Revista de lepidopterología. 21(4). 320–322.
16.
Zhou, Li, Shunai Liu, Ming Han, et al.. (2017). miR-185 Inhibits Fibrogenic Activation of Hepatic Stellate Cells and Prevents Liver Fibrosis. Molecular Therapy — Nucleic Acids. 10. 91–102. 32 indexed citations
17.
Liu, Yifan, Ming Han, Xiaoshuang Li, et al.. (2017). Age-related changes in the mitochondria of human mural granulosa cells. Human Reproduction. 32(12). 2465–2473. 65 indexed citations
18.
Li, Yaru, Shunai Liu, Ming Han, et al.. (2017). NS5ATP13 Promotes Liver Fibrogenesis Via Activation of Hepatic Stellate Cells. Journal of Cellular Biochemistry. 118(8). 2463–2473. 5 indexed citations
19.
Han, Ming, et al.. (2016). Association between NADPH oxidase (NOX) and lung cancer: a systematic review and meta-analysis. Journal of Thoracic Disease. 8(7). 1704–1711. 27 indexed citations
20.
Deng, Zihui, Jie Liao, Jinying Zhang, et al.. (2014). Inhibition of the Connexin 43 Elevation May be Involved in the Neuroprotective Activity of Leptin Against Brain Ischemic Injury. Cellular and Molecular Neurobiology. 34(6). 871–879. 31 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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