Li‐Hua Mo

662 total citations
48 papers, 488 citations indexed

About

Li‐Hua Mo is a scholar working on Immunology, Physiology and Immunology and Allergy. According to data from OpenAlex, Li‐Hua Mo has authored 48 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Immunology, 19 papers in Physiology and 17 papers in Immunology and Allergy. Recurrent topics in Li‐Hua Mo's work include Asthma and respiratory diseases (18 papers), Immune Cell Function and Interaction (15 papers) and IL-33, ST2, and ILC Pathways (13 papers). Li‐Hua Mo is often cited by papers focused on Asthma and respiratory diseases (18 papers), Immune Cell Function and Interaction (15 papers) and IL-33, ST2, and ILC Pathways (13 papers). Li‐Hua Mo collaborates with scholars based in China, Canada and United States. Li‐Hua Mo's co-authors include Ping–Chang Yang, Jiang‐Qi Liu, Huanping Zhang, Zhi‐Gang Liu, Gui Yang, Xiao‐Rui Geng, Xiang‐Qian Luo, Pengyuan Zheng, Zhi‐Gang Liu and Zhiqiang Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Allergy and Clinical Immunology.

In The Last Decade

Li‐Hua Mo

45 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li‐Hua Mo China 13 191 160 144 129 47 48 488
Kazumi Kasakura Japan 15 291 1.5× 123 0.8× 161 1.1× 86 0.7× 43 0.9× 33 483
Erika Méndez-Enríquez Sweden 8 208 1.1× 163 1.0× 69 0.5× 81 0.6× 29 0.6× 15 390
Charlotte Weller United Kingdom 8 358 1.9× 201 1.3× 120 0.8× 109 0.8× 25 0.5× 14 549
Kirstin Jansen Switzerland 9 276 1.4× 181 1.1× 71 0.5× 200 1.6× 41 0.9× 10 562
Elaine Zayas Marcelino da Silva Brazil 9 439 2.3× 129 0.8× 276 1.9× 129 1.0× 47 1.0× 14 724
Jason Yasenchak United States 7 99 0.5× 175 1.1× 193 1.3× 99 0.8× 47 1.0× 7 537
Paolo Tassinari Venezuela 12 190 1.0× 152 0.9× 86 0.6× 174 1.3× 54 1.1× 33 651
Sangeeta Kumari India 7 215 1.1× 56 0.3× 81 0.6× 60 0.5× 26 0.6× 30 420
Zhitao Su China 12 101 0.5× 92 0.6× 85 0.6× 103 0.8× 35 0.7× 31 635
Makoto Kurose Japan 12 98 0.5× 103 0.6× 193 1.3× 86 0.7× 99 2.1× 44 579

Countries citing papers authored by Li‐Hua Mo

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Hua Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Hua Mo. 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 Li‐Hua Mo. The network helps show where Li‐Hua Mo may publish in the future.

Co-authorship network of co-authors of Li‐Hua Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Hua Mo. A scholar is included among the top collaborators of Li‐Hua Mo 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 Li‐Hua Mo. Li‐Hua Mo 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.
Feng, Yan, Le Liu, Hanqing Zhang, et al.. (2025). From mechanism to therapy: How EIPA modulates dendritic cell-mediated allergic responses via IL-12b and TIM4. Biomedicine & Pharmacotherapy. 189. 118285–118285.
2.
Li, Minyao, Dan Peng, Junyi Wang, et al.. (2024). Characterization of the immune suppressive functions of eosinophils. Cellular Immunology. 401-402. 104829–104829. 1 indexed citations
3.
Yang, Gui, Xiao‐Rui Geng, Jiang‐Qi Liu, et al.. (2023). The transcription factor XBP1 in dendritic cells promotes the T H 2 cell response in airway allergy. Science Signaling. 16(791). eabm9454–eabm9454. 19 indexed citations
4.
Yang, Gui, et al.. (2023). Targeting the RhoA-GEF-H1 pathway of mast cells attenuates experimental airway allergy. Archives of Biochemistry and Biophysics. 741. 109597–109597.
5.
Liu, Zhizhen, Yun Liao, Xiwen Zhang, et al.. (2023). Undersized telomeres in regulatory T cells link to the pathogenesis of allergic rhinitis. iScience. 27(1). 108615–108615. 1 indexed citations
6.
Tian, Guixiang, et al.. (2022). CD38+ B cells affect immunotherapy for allergic rhinitis. Journal of Allergy and Clinical Immunology. 149(5). 1691–1701.e9. 21 indexed citations
7.
Luo, Xiang‐Qian, Li‐Hua Mo, Xinxin Wang, et al.. (2022). Rnf20 inhibition enhances immunotherapy by improving regulatory T cell generation. Cellular and Molecular Life Sciences. 79(12). 588–588. 8 indexed citations
8.
Mo, Li‐Hua, Xiang‐Qian Luo, Ke Ma, et al.. (2022). Superoxide Dismutase Prevents SARS‐CoV‐2‐Induced Plasma Cell Apoptosis and Stabilizes Specific Antibody Induction. Oxidative Medicine and Cellular Longevity. 2022(1). 5397733–5397733. 2 indexed citations
9.
Luo, Xiang‐Qian, et al.. (2022). TAFA4-IL-10 axis potentiate immunotherapy for airway allergy by induction of specific regulatory T cells. npj Vaccines. 7(1). 133–133. 3 indexed citations
10.
Liu, Jiang‐Qi, Miao Zhao, Dian Yu, et al.. (2020). Exosomes carry IL-10 and antigen/MHC II complexes to induce antigen-specific oral tolerance. Cytokine. 133. 155176–155176. 13 indexed citations
11.
Li, Yan, Liteng Yang, Jiang‐Qi Liu, et al.. (2020). FcγRI plays a critical role in patients with ulcerative colitis relapse. European Journal of Immunology. 51(2). 459–470. 5 indexed citations
12.
Li, Yan, Li‐Hua Mo, Gui Yang, et al.. (2020). Specific Ag-guiding nano-vaccines attenuate neutrophil-dominant allergic asthma. Molecular Immunology. 129. 103–111. 6 indexed citations
13.
Liu, Jiang‐Qi, Tianyong Hu, Dian Yu, et al.. (2020). Cold stress promotes IL-33 expression in intestinal epithelial cells to facilitate food allergy development. Cytokine. 136. 155295–155295. 5 indexed citations
14.
Zheng, Pengyuan, Xiao‐Rui Geng, Jingyi Hong, et al.. (2019). Regulating Bcl2L12 expression in mast cells inhibits food allergy. Theranostics. 9(17). 4982–4992. 7 indexed citations
15.
Geng, Xiao‐Rui, Li‐Hua Mo, Jiang‐Qi Liu, et al.. (2018). The 3-methyl-4-nitrophenol (PNMC) compromises airway epithelial barrier function. Toxicology. 395. 9–14. 9 indexed citations
16.
Jiang, Jing, Jiang‐Qi Liu, Meng Li, et al.. (2015). Trek1 contributes to maintaining nasal epithelial barrier integrity. Scientific Reports. 5(1). 9191–9191. 31 indexed citations
17.
Yang, Li, Lingzhi Xu, Zhiqiang Liu, et al.. (2015). Interleukin-13 interferes with activation-induced t-cell apoptosis by repressing p53 expression. Cellular and Molecular Immunology. 13(5). 669–677. 17 indexed citations
18.
Zeng, Lu, Li‐Hua Mo, Lingzhi Xu, et al.. (2015). Interaction of TIM4 and TIM3 induces T helper 1 cell apoptosis. Immunologic Research. 64(2). 470–475. 8 indexed citations
19.
Yu, Yong, Si Chen, Gaofeng Lu, et al.. (2014). Alphavbeta6 is required in maintaining the intestinal epithelial barrier function. Cell Biology International. 38(6). 777–781. 17 indexed citations
20.
Zhang, Huanping, Yingying Wu, Jiang‐Qi Liu, et al.. (2013). TSP1-producing B cells show immune regulatory property and suppress allergy-related mucosal inflammation. Scientific Reports. 3(1). 3345–3345. 54 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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