An‐Fang Huang

1.4k total citations
57 papers, 930 citations indexed

About

An‐Fang Huang is a scholar working on Immunology, Rheumatology and Molecular Biology. According to data from OpenAlex, An‐Fang Huang has authored 57 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Immunology, 34 papers in Rheumatology and 16 papers in Molecular Biology. Recurrent topics in An‐Fang Huang's work include Systemic Lupus Erythematosus Research (30 papers), Cytokine Signaling Pathways and Interactions (13 papers) and Psoriasis: Treatment and Pathogenesis (9 papers). An‐Fang Huang is often cited by papers focused on Systemic Lupus Erythematosus Research (30 papers), Cytokine Signaling Pathways and Interactions (13 papers) and Psoriasis: Treatment and Pathogenesis (9 papers). An‐Fang Huang collaborates with scholars based in China, Taiwan and France. An‐Fang Huang's co-authors include Wang‐Dong Xu, Linchong Su, Xiaoyan Liu, Xingyou Liu, Hong Jia, Yi Liu, Qian Wu, Jie Zhou, Jiamin Wang and Chan Yang and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and Journal of Cellular Physiology.

In The Last Decade

An‐Fang Huang

56 papers receiving 917 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
An‐Fang Huang China 17 439 283 236 141 136 57 930
Elham Farhadi Iran 19 358 0.8× 326 1.2× 352 1.5× 98 0.7× 123 0.9× 95 1.1k
Ning Ma China 18 506 1.2× 262 0.9× 157 0.7× 104 0.7× 160 1.2× 42 919
Ruifang Wu China 14 447 1.0× 402 1.4× 120 0.5× 229 1.6× 132 1.0× 45 928
Takeru Yoshimura Japan 19 649 1.5× 329 1.2× 209 0.9× 78 0.6× 275 2.0× 36 1.7k
Lingxiao Xu China 19 283 0.6× 313 1.1× 261 1.1× 82 0.6× 177 1.3× 49 843
Kimito Kawahata Japan 18 584 1.3× 320 1.1× 259 1.1× 56 0.4× 181 1.3× 82 1.3k
Bradley J. Rabquer United States 17 332 0.8× 362 1.3× 177 0.8× 85 0.6× 159 1.2× 31 912
Zhenrui Shi China 16 414 0.9× 242 0.9× 195 0.8× 39 0.3× 158 1.2× 47 898
Tianyu Cao China 18 377 0.9× 460 1.6× 89 0.4× 240 1.7× 124 0.9× 35 994
Katrien Van Raemdonck United States 16 377 0.9× 268 0.9× 136 0.6× 81 0.6× 249 1.8× 21 919

Countries citing papers authored by An‐Fang Huang

Since Specialization
Citations

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

Fields of papers citing papers by An‐Fang Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by An‐Fang Huang. 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 An‐Fang Huang. The network helps show where An‐Fang Huang may publish in the future.

Co-authorship network of co-authors of An‐Fang Huang

This figure shows the co-authorship network connecting the top 25 collaborators of An‐Fang Huang. A scholar is included among the top collaborators of An‐Fang Huang 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 An‐Fang Huang. An‐Fang Huang 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.
Li, Ruicen, et al.. (2025). A Risk Prediction Model for the Development of Rheumatoid Arthritis, Sjögren's Syndrome, Systemic Sclerosis in Patients With Systemic Lupus Erythematosus: Multicenter Approaches. International Journal of Rheumatic Diseases. 28(2). e70156–e70156. 1 indexed citations
2.
Xu, Wang‐Dong, et al.. (2025). Targeting Th9 cells in autoimmune diseases: a narrative review. Frontiers in Immunology. 16. 1615611–1615611. 3 indexed citations
3.
Xu, Wang‐Dong, et al.. (2024). Development and external validation of a prediction model for interstitial lung disease in systemic lupus erythematosus patients: A cross-sectional study. Seminars in Arthritis and Rheumatism. 69. 152556–152556. 1 indexed citations
4.
Wang, Dacheng, et al.. (2023). Systemic lupus erythematosus with high disease activity identification based on machine learning. Inflammation Research. 72(9). 1909–1918. 5 indexed citations
5.
Li, Rong, Ling Zhou, Chan Yang, Wang‐Dong Xu, & An‐Fang Huang. (2023). Relationship between SHP2 gene polymorphisms and systemic lupus erythematosus risk. International Journal of Rheumatic Diseases. 26(8). 1485–1494. 3 indexed citations
6.
Wang, Youqiang, et al.. (2023). Emerging role of hypoxia-inducible factor-1α in inflammatory autoimmune diseases: A comprehensive review. Frontiers in Immunology. 13. 1073971–1073971. 38 indexed citations
7.
8.
Xu, Wang‐Dong, et al.. (2022). GDF-15: A Potential Biomarker and Therapeutic Target in Systemic Lupus Erythematosus. Frontiers in Immunology. 13. 926373–926373. 15 indexed citations
9.
Xu, Wang‐Dong, Linchong Su, Lu Fu, et al.. (2022). IL-38, a potential therapeutic agent for lupus, inhibits lupus progression. Inflammation Research. 71(7-8). 963–975. 8 indexed citations
10.
Wu, Qian, et al.. (2021). Association between IL-37 and Systemic Lupus Erythematosus Risk. Immunological Investigations. 51(4). 727–738. 16 indexed citations
11.
Wang, Jiamin, et al.. (2021). Serum levels and gene polymorphisms of angiopoietin 2 in systemic lupus erythematosus patients. Scientific Reports. 11(1). 10–10. 29 indexed citations
12.
Xu, Wang‐Dong, et al.. (2021). Association of CD40 Gene Polymorphisms With Systemic Lupus Erythematosus and Rheumatoid Arthritis in a Chinese Han Population. Frontiers in Immunology. 12. 642929–642929. 6 indexed citations
13.
Xu, Wang‐Dong, et al.. (2020). Gene polymorphisms and serum levels of sVEGFR-1 in patients with systemic lupus erythematosus. Scientific Reports. 10(1). 15031–15031. 2 indexed citations
14.
Wang, Jiamin, Wang‐Dong Xu, & An‐Fang Huang. (2020). Association of STAT4 Gene Rs7574865, Rs10168266 Polymorphisms and Systemic Lupus Erythematosus Susceptibility: A Meta-analysis. Immunological Investigations. 50(2-3). 282–294. 14 indexed citations
15.
Xie, Qiang, Wang‐Dong Xu, Min Pan, et al.. (2020). Association of IL-35 expression and gene polymorphisms in rheumatoid arthritis. International Immunopharmacology. 90. 107231–107231. 11 indexed citations
16.
Xu, Wang‐Dong, et al.. (2019). Biology of IL-36 Signaling and Its Role in Systemic Inflammatory Diseases. Frontiers in Immunology. 10. 2532–2532. 92 indexed citations
17.
Xu, Wang‐Dong, et al.. (2018). Plasma interleukin-38 in patients with rheumatoid arthritis. International Immunopharmacology. 65. 1–7. 48 indexed citations
18.
Huang, An‐Fang, Hui Li, Ke Lei, et al.. (2017). Association of angiotensin‐converting enzyme insertion/deletion polymorphism with susceptibility to systemic lupus erythematosus: a meta‐analysis. International Journal of Rheumatic Diseases. 21(2). 447–457. 4 indexed citations
19.
Huang, An‐Fang, et al.. (2016). [An analysis of latent tuberculosis infection among patients with rheumatic diseases].. PubMed. 55(4). 307–10. 2 indexed citations
20.
Xu, Yuan, Lingshu Zhang, An‐Fang Huang, Yi Zhao, & Yi Liu. (2015). [An investigation of sleep disturbance and related factors in rheumatoid arthritis patients].. PubMed. 54(11). 927–30. 5 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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