Xiaochun Liu

529 total citations
17 papers, 364 citations indexed

About

Xiaochun Liu is a scholar working on Dermatology, Immunology and Immunology and Allergy. According to data from OpenAlex, Xiaochun Liu has authored 17 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Dermatology, 8 papers in Immunology and 6 papers in Immunology and Allergy. Recurrent topics in Xiaochun Liu's work include Dermatology and Skin Diseases (15 papers), Asthma and respiratory diseases (5 papers) and Allergic Rhinitis and Sensitization (4 papers). Xiaochun Liu is often cited by papers focused on Dermatology and Skin Diseases (15 papers), Asthma and respiratory diseases (5 papers) and Allergic Rhinitis and Sensitization (4 papers). Xiaochun Liu collaborates with scholars based in China, Hong Kong and United States. Xiaochun Liu's co-authors include Wei Li, Xu Yao, He Wen, Yang Luo, Jingxi Zhang, Brock E. Harper, Filemon K. Tan, Yue Han, Maureen D. Mayes and John D. Reveille and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Allergy and Clinical Immunology and Frontiers in Immunology.

In The Last Decade

Xiaochun Liu

17 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaochun Liu China 11 219 111 90 78 73 17 364
Luciana Paula ­Samorano Brazil 8 222 1.0× 114 1.0× 36 0.4× 102 1.3× 54 0.7× 21 396
Girish C. Mohan United States 10 219 1.0× 104 0.9× 64 0.7× 64 0.8× 30 0.4× 13 346
Paola Facheris Italy 14 367 1.7× 190 1.7× 151 1.7× 89 1.1× 30 0.4× 36 489
Peter Elg Finland 7 261 1.2× 204 1.8× 65 0.7× 86 1.1× 37 0.5× 13 420
Momoko Kimishima Japan 10 215 1.0× 77 0.7× 180 2.0× 88 1.1× 65 0.9× 15 529
Irina Turchin Canada 13 256 1.2× 64 0.6× 170 1.9× 63 0.8× 51 0.7× 44 424
Alexandra Gruber‐Wackernagel Austria 15 487 2.2× 48 0.4× 403 4.5× 94 1.2× 93 1.3× 28 690
Stanislava Tzaneva Austria 11 250 1.1× 98 0.9× 109 1.2× 29 0.4× 24 0.3× 20 351
Jeremy Udkoff United States 10 324 1.5× 244 2.2× 34 0.4× 89 1.1× 25 0.3× 27 420
Wojciech Francuzik Germany 14 178 0.8× 234 2.1× 47 0.5× 79 1.0× 13 0.2× 36 475

Countries citing papers authored by Xiaochun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaochun Liu. A scholar is included among the top collaborators of Xiaochun Liu 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 Xiaochun Liu. Xiaochun Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Xu, Xiaoqiang, Xiaokai Wang, Xiaochun Liu, et al.. (2024). Multi-omics signatures reveal genomic and functional heterogeneity of Cutibacterium acnes in normal and diseased skin. Cell Host & Microbe. 32(7). 1129–1146.e8. 19 indexed citations
2.
Luo, Yang, et al.. (2024). Senescent fibroblasts and innate immune cell activation might play a role in the pathogenesis of elderly atopic dermatitis. Journal of Dermatological Science. 114(3). 94–103. 2 indexed citations
3.
Zhang, Shan, et al.. (2024). Comprehensive analysis of phenotypes and transcriptome characteristics reveal the best atopic dermatitis mouse model induced by MC903. Journal of Dermatological Science. 114(3). 104–114. 2 indexed citations
4.
Liu, Xiaochun, Yang Luo, Xingyu Chen, et al.. (2024). Fecal microbiota transplantation against moderate‐to‐severe atopic dermatitis: A randomized, double‐blind controlled explorer trial. Allergy. 80(5). 1377–1388. 5 indexed citations
5.
Liu, Xiaochun, Beilei Xu, Xiaoqiang Xu, et al.. (2023). Attenuation of allergen-specific immunotherapy for atopic dermatitis by ectopic colonization of Brevundimonas vesicularis in the intestine. Cell Reports Medicine. 4(12). 101340–101340. 5 indexed citations
6.
Zhou, Yuan, Xiaoqiang Xu, Ao Wang, et al.. (2023). Heterogeneous Regulation of Staphylococcus Aureus by Different Staphylococcus Epidermidis agr Types in Atopic Dermatitis. Journal of Investigative Dermatology. 143(12). 2484–2493.e11. 4 indexed citations
7.
Liu, Xiaochun, Jing Xu, Zhifeng Wang, et al.. (2023). Differential changes in the gut microbiota between extrinsic and intrinsic atopic dermatitis. Journal of Autoimmunity. 141. 103096–103096. 11 indexed citations
8.
Xu, Beilei, Yang Luo, Xiaochun Liu, et al.. (2022). Transglutaminase 3 Attenuates Skin Inflammation in Psoriasis by Inhibiting NF-κB Activation through Phosphorylated STAT3–TET3 Signaling. Journal of Investigative Dermatology. 142(11). 2968–2977.e10. 10 indexed citations
9.
Zhu, Zhenlai, Xiaochun Liu, Chaoying Gu, et al.. (2022). A dysregulated sebum–microbial metabolite–IL-33 axis initiates skin inflammation in atopic dermatitis. The Journal of Experimental Medicine. 219(10). 60 indexed citations
10.
Xu, Beilei, Xiaoqiang Xu, Xiaochun Liu, et al.. (2021). A New Formulation of Probiotics Attenuates Calcipotriol-Induced Dermatitis by Inducing Regulatory Dendritic Cells. Frontiers in Immunology. 12. 775018–775018. 7 indexed citations
11.
Wen, He, Yu Zhang, Beilei Xu, et al.. (2021). A Dendritic Cells-Targeting Nano-Vaccine by Coupling Polylactic-Co-Glycolic Acid-Encapsulated Allergen with Mannan Induces Regulatory T Cells. International Archives of Allergy and Immunology. 182(9). 777–787. 11 indexed citations
12.
Liu, Xiaochun, Xiaoning Zhang, Jingxi Zhang, et al.. (2020). Activation of aryl hydrocarbon receptor in Langerhans cells by a microbial metabolite of tryptophan negatively regulates skin inflammation. Journal of Dermatological Science. 100(3). 192–200. 30 indexed citations
13.
Luo, Yang, Jing Sun, Xiaochun Liu, et al.. (2019). Transglutaminase 3 Promotes Skin Inflammation in Atopic Dermatitis by Activating Monocyte-Derived Dendritic Cells via DC-SIGN. Journal of Investigative Dermatology. 140(2). 370–379.e8. 16 indexed citations
14.
Li, Wei, Xiaoqiang Xu, He Wen, et al.. (2019). Inverse Association Between the Skin and Oral Microbiota in Atopic Dermatitis. Journal of Investigative Dermatology. 139(8). 1779–1787.e12. 41 indexed citations
15.
Luo, Yang, Su Wang, Xiaochun Liu, et al.. (2019). Langerhans cells mediate the skin‐induced tolerance to ovalbumin via Langerin in a murine model. Allergy. 74(9). 1738–1747. 19 indexed citations
16.
Han, Yue, Yuxin Chen, Xiaochun Liu, et al.. (2017). Efficacy and safety of dupilumab for the treatment of adult atopic dermatitis: A meta-analysis of randomized clinical trials. Journal of Allergy and Clinical Immunology. 140(3). 888–891.e6. 44 indexed citations
17.
Liu, Xiaochun, Maureen D. Mayes, Filemon K. Tan, et al.. (2012). Correlation of interferon‐inducible chemokine plasma levels with disease severity in systemic sclerosis. Arthritis & Rheumatism. 65(1). 226–235. 78 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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