Libo Tang

753 total citations
34 papers, 498 citations indexed

About

Libo Tang is a scholar working on Epidemiology, Hepatology and Immunology. According to data from OpenAlex, Libo Tang has authored 34 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 17 papers in Hepatology and 14 papers in Immunology. Recurrent topics in Libo Tang's work include Hepatitis B Virus Studies (25 papers), Hepatitis C virus research (15 papers) and Liver Disease Diagnosis and Treatment (9 papers). Libo Tang is often cited by papers focused on Hepatitis B Virus Studies (25 papers), Hepatitis C virus research (15 papers) and Liver Disease Diagnosis and Treatment (9 papers). Libo Tang collaborates with scholars based in China, United States and Australia. Libo Tang's co-authors include Jinlin Hou, Yongyin Li, Jian Sun, Nikolai V. Naoumov, Shiwu Ma, Weibin Wang, Tianling Zhang, William G.H. Abbott, Shuqin Gu and Chengcong Chen and has published in prestigious journals such as Hepatology, Scientific Reports and The Journal of Infectious Diseases.

In The Last Decade

Libo Tang

31 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Libo Tang China 11 308 235 211 59 56 34 498
Frank Krux Germany 6 325 1.1× 233 1.0× 331 1.6× 57 1.0× 60 1.1× 7 567
A Glässner Germany 13 299 1.0× 344 1.5× 414 2.0× 37 0.6× 58 1.0× 25 751
Sara Romani Iran 13 220 0.7× 177 0.8× 101 0.5× 52 0.9× 133 2.4× 41 468
Noelle K. Polakos United States 8 265 0.9× 236 1.0× 267 1.3× 30 0.5× 64 1.1× 9 571
Christopher Marshall United States 8 344 1.1× 338 1.4× 261 1.2× 25 0.4× 68 1.2× 9 602
Hiroyoshi Doi Japan 10 189 0.6× 206 0.9× 166 0.8× 99 1.7× 22 0.4× 19 429
Miyako Murakawa Japan 12 330 1.1× 401 1.7× 146 0.7× 45 0.8× 85 1.5× 31 583
Erwin Daniel Brenndörfer Sweden 13 202 0.7× 250 1.1× 151 0.7× 78 1.3× 41 0.7× 22 442
Arshi Khanam United States 14 383 1.2× 390 1.7× 140 0.7× 44 0.7× 91 1.6× 23 660
Kim Kreefft Netherlands 10 224 0.7× 245 1.0× 240 1.1× 19 0.3× 26 0.5× 13 468

Countries citing papers authored by Libo Tang

Since Specialization
Citations

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

Fields of papers citing papers by Libo Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Libo Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Libo Tang. A scholar is included among the top collaborators of Libo Tang 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 Libo Tang. Libo Tang 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.
Shao, Yue, Junling Chen, Jiayue Yang, et al.. (2025). The LUBAC subunit HOIL-1 promotes the progression of HBV-associated hepatocellular carcinoma independently of linear ubiquitination. Experimental & Molecular Medicine. 57(10). 2317–2330.
2.
Chen, Chengcong, Yongjun Zhou, Libo Tang, et al.. (2024). Anti-HBc mirrors the activation of HBV-specific CD8+ T cell immune response and exhibits a direct effect on HBV control. Antiviral Research. 230. 105975–105975. 1 indexed citations
3.
Li, Hongjian, et al.. (2024). Energy-efficient offloading based on hybrid bio-inspired algorithm for edge–cloud integrated computation. Sustainable Computing Informatics and Systems. 42. 100972–100972. 8 indexed citations
4.
Gu, Shuqin, Libo Tang, Ling Guo, et al.. (2024). Circulating HBsAg-specific B cells are partially rescued in chronically HBV-infected patients with functional cure. Emerging Microbes & Infections. 13(1). 2409350–2409350. 1 indexed citations
5.
Li, Yifan, Tianling Zhang, Zhipeng Liu, et al.. (2023). Peyer's patch-involved gut microbiota facilitates anti-HBV immunity in mice. Virus Research. 331. 199129–199129. 4 indexed citations
6.
Zhou, Yang, et al.. (2023). CTLA4+CD4+CXCR5−FOXP3+ T cells associate with unfavorable outcome in patients with chronic HBV infection. BMC Immunology. 24(1). 3–3. 8 indexed citations
7.
Zhou, Yang, Yongjun Zhou, Shuqin Gu, et al.. (2023). HBV Core-specific CD4+ T cells correlate with sustained viral control upon off-treatment in HBeAg-positive chronic hepatitis B patients. Antiviral Research. 213. 105585–105585. 4 indexed citations
8.
Liu, Zhenguo, Junling Chen, Yongjun Zhou, et al.. (2023). Causal associations between chronic hepatitis B and COVID-19 in East Asian populations. Virology Journal. 20(1). 109–109. 2 indexed citations
9.
Li, Junwei, et al.. (2023). Multi-feature Fusion for Relation Extraction using Entity Types and Word Dependencies. International Journal of Advanced Computer Science and Applications. 14(7). 3 indexed citations
10.
Li, Qiong, et al.. (2022). Interferon α facilitates anti-HBV cellular immune response in a B cell-dependent manner. Antiviral Research. 207. 105420–105420. 10 indexed citations
11.
Zhang, Tianling, et al.. (2021). Cytokines and Chemokines in HBV Infection. Frontiers in Molecular Biosciences. 8. 805625–805625. 47 indexed citations
12.
Gu, Shuqin, Chengcong Chen, Xiaoyi Li, et al.. (2021). High L-Carnitine Levels Impede Viral Control in Chronic Hepatitis B Virus Infection. Frontiers in Immunology. 12. 649197–649197. 5 indexed citations
13.
Gu, Shuqin, Zhipeng Liu, Li Lin, et al.. (2021). Identification and Mapping of HBsAg Loss-Related B-Cell Linear Epitopes in Chronic HBV Patients by Peptide Array. Frontiers in Immunology. 12. 767000–767000. 6 indexed citations
14.
Li, Xiaoyi, et al.. (2020). Expanded circulating follicular dendritic cells facilitate immune responses in chronic HBV infection. Journal of Translational Medicine. 18(1). 417–417. 5 indexed citations
15.
Chen, Chengcong, Xiaotao Jiang, Xuan Liu, et al.. (2020). Identification of the association between HBcAg-specific T cell and viral control in chronic HBV infection using a cultured ELISPOT assay. Journal of Leukocyte Biology. 109(2). 455–465. 10 indexed citations
16.
Li, Yongyin, Libo Tang, Ling Guo, et al.. (2019). CXCL13-mediated recruitment of intrahepatic CXCR5+CD8+ T cells favors viral control in chronic HBV infection. Journal of Hepatology. 72(3). 420–430. 77 indexed citations
17.
Zhang, Geng, Yong Lin, Hongyan Liu, et al.. (2017). Transforming growth factor β-activated kinase 1 transcriptionally suppresses hepatitis B virus replication. Scientific Reports. 7(1). 39901–39901. 11 indexed citations
18.
Li, Yongyin, Libo Tang, & Jinlin Hou. (2014). Role of interleukin-21 in HBV infection: friend or foe?. Cellular and Molecular Immunology. 12(3). 303–308. 16 indexed citations
20.
Ma, Shiwu, Xuan Huang, Libo Tang, et al.. (2011). High serum IL-21 levels after 12 weeks of antiviral therapy predict HBeAg seroconversion in chronic hepatitis B. Journal of Hepatology. 56(4). 775–781. 89 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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