Zhongji Meng

3.7k total citations · 1 hit paper
77 papers, 2.4k citations indexed

About

Zhongji Meng is a scholar working on Epidemiology, Hepatology and Immunology. According to data from OpenAlex, Zhongji Meng has authored 77 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Epidemiology, 38 papers in Hepatology and 21 papers in Immunology. Recurrent topics in Zhongji Meng's work include Hepatitis B Virus Studies (35 papers), Liver Disease Diagnosis and Treatment (25 papers) and Liver Disease and Transplantation (18 papers). Zhongji Meng is often cited by papers focused on Hepatitis B Virus Studies (35 papers), Liver Disease Diagnosis and Treatment (25 papers) and Liver Disease and Transplantation (18 papers). Zhongji Meng collaborates with scholars based in China, Germany and United States. Zhongji Meng's co-authors include Mengji Lu, Michael Roggendorf, JF Schlaak, Ruth Broering, Jun Wu, Dongliang Yang, Martin Trippler, Guido Gerken, Ulf Dittmer and Frank Krux and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

In The Last Decade

Zhongji Meng

72 papers receiving 2.3k citations

Hit Papers

Pilot trial of high-dose ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongji Meng China 24 1.3k 986 611 534 342 77 2.4k
Maria Isaguliants Russia 21 670 0.5× 400 0.4× 501 0.8× 719 1.3× 292 0.9× 90 1.9k
José M. González‐Navajas Spain 28 858 0.6× 529 0.5× 1.2k 1.9× 934 1.7× 345 1.0× 56 2.8k
Seyed Reza Mohebbi Iran 22 577 0.4× 392 0.4× 211 0.3× 410 0.8× 489 1.4× 137 1.7k
Hong Tang China 28 1.9k 1.4× 1.2k 1.2× 336 0.5× 863 1.6× 260 0.8× 171 3.1k
Yuchen Xia China 24 999 0.8× 671 0.7× 279 0.5× 712 1.3× 889 2.6× 73 2.5k
Nobuhiro Nakamoto Japan 30 1.2k 0.9× 1.0k 1.1× 1.0k 1.7× 613 1.1× 145 0.4× 113 2.8k
Xiaoyong Zhang China 26 1.1k 0.9× 776 0.8× 453 0.7× 627 1.2× 236 0.7× 83 2.1k
Masaya Sugiyama Japan 33 2.5k 1.9× 2.2k 2.2× 506 0.8× 631 1.2× 450 1.3× 163 3.7k
Zhengsheng Zou China 30 1.7k 1.3× 1.4k 1.4× 1.0k 1.6× 371 0.7× 186 0.5× 82 3.3k
Linling Cheng United States 19 446 0.3× 557 0.6× 705 1.2× 245 0.5× 159 0.5× 38 1.6k

Countries citing papers authored by Zhongji Meng

Since Specialization
Citations

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

Fields of papers citing papers by Zhongji Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongji Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongji Meng. A scholar is included among the top collaborators of Zhongji Meng 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 Zhongji Meng. Zhongji Meng 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.
Zhou, Hui, Hai Li, Guohong Deng, et al.. (2025). A novel model for identifying infections in patients with AoCLD: a nationwide, multicenter, prospective cohort study. QJM. 118(7). 489–500. 1 indexed citations
4.
Yuan, Yue, Yanghui Chen, Zongli Zhang, et al.. (2023). Dual role of ANGPTL8 in promoting tumor cell proliferation and immune escape during hepatocarcinogenesis. Oncogenesis. 12(1). 26–26. 8 indexed citations
5.
Cheng, Bin, Qiong Wang, Zhiqiang Wei, et al.. (2022). MHBSt167 induced autophagy promote cell proliferation and EMT by activating the immune response in L02 cells. Virology Journal. 19(1). 110–110. 1 indexed citations
6.
Wang, Xianbo, Guohong Deng, Yan Huang, et al.. (2021). Cohort profile: a multicentre prospective validation cohort of the Chinese Acute-on-Chronic Liver Failure (CATCH-LIFE) study. BMJ Open. 11(1). e037793–e037793. 6 indexed citations
7.
Meng, Zhongji, Tongyu Wang, Li Chen, et al.. (2021). The Effect of Recombinant Human Interferon Alpha Nasal Drops to Prevent COVID-19 Pneumonia for Medical Staff in an Epidemic Area. Current Topics in Medicinal Chemistry. 21(10). 920–927. 45 indexed citations
8.
Wang, Xueyu, Zhiqiang Wei, Yulin He, et al.. (2021). CCDC88A/GIV promotes HBV replication and progeny secretion via enhancing endosomal trafficking and blocking autophagic degradation. Autophagy. 18(2). 357–374. 21 indexed citations
9.
Wang, Xueyu, Zhiqiang Wei, Yongfang Jiang, Zhongji Meng, & Mengji Lu. (2021). mTOR Signaling: The Interface Linking Cellular Metabolism and Hepatitis B Virus Replication. Virologica Sinica. 36(6). 1303–1314. 15 indexed citations
10.
He, Yulin, Xingrong Guo, Jianbo Xia, et al.. (2021). Human umbilical cord-derived mesenchymal stem cells improve the function of liver in rats with acute-on-chronic liver failure via downregulating Notch and Stat1/Stat3 signaling. Stem Cell Research & Therapy. 12(1). 396–396. 47 indexed citations
11.
Li, Xin, Qi Song, Xin Guo, et al.. (2020). The Metastasis Potential Promoting Capacity of Cancer-Associated Fibroblasts Was Attenuated by Cisplatin via Modulating KRT8. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Meng, Zhongji, Yuanyuan Chen, & Mengji Lu. (2020). Advances in Targeting the Innate and Adaptive Immune Systems to Cure Chronic Hepatitis B Virus Infection. Frontiers in Immunology. 10. 3127–3127. 80 indexed citations
13.
Liu, Jing, Yanhang Gao, Xianbo Wang, et al.. (2020). Culture-Positive Spontaneous Ascitic Infection in Patients with Acute Decompensated Cirrhosis: Multidrug-Resistant Pathogens and Antibiotic Strategies. Yonsei Medical Journal. 61(2). 145–145. 10 indexed citations
15.
Sun, Yuhui, et al.. (2018). Interleukin-6 Gene Polymorphism and the Risk of Systemic Inflammatory Response Syndrome Caused by Wasp Sting Injury. DNA and Cell Biology. 37(12). 967–972. 10 indexed citations
16.
Hu, Pei, Xingrong Guo, Pan Ren, et al.. (2018). Both glypican-3/Wnt/β-catenin signaling pathway and autophagy contributed to the inhibitory effect of curcumin on hepatocellular carcinoma. Digestive and Liver Disease. 51(1). 120–126. 62 indexed citations
17.
Meng, Zhongji, Xiaoyong Zhang, Jun Wu, et al.. (2013). RNAi Induces Innate Immunity through Multiple Cellular Signaling Pathways. PLoS ONE. 8(5). e64708–e64708. 19 indexed citations
18.
Meng, Zhongji, et al.. (2013). Rapid screening and identification of dominant B cell epitopes of HBV surface antigen by quantum dot-based fluorescence polarization assay. Nanoscale Research Letters. 8(1). 118–118. 13 indexed citations
19.
Wu, Jun, Zhongji Meng, Martin Trippler, et al.. (2008). 581 HBV SUPPRESSES TLR-MEDIATED INNATE IMMUNE RESPONSES IN MURINE PARENCHYMAL AND NON-PARENCHYMAL LIVER CELLS. Journal of Hepatology. 48. S217–S218. 2 indexed citations
20.
Meng, Zhongji, et al.. (2005). Development of a Mouse Model for Acute Hepatitis B Virus Infection. Virologica Sinica. 20(6). 565–569. 1 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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