Dai Gao

951 total citations
37 papers, 674 citations indexed

About

Dai Gao is a scholar working on Rheumatology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dai Gao has authored 37 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Rheumatology, 11 papers in Immunology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dai Gao's work include Systemic Lupus Erythematosus Research (14 papers), Rheumatoid Arthritis Research and Therapies (8 papers) and Spondyloarthritis Studies and Treatments (6 papers). Dai Gao is often cited by papers focused on Systemic Lupus Erythematosus Research (14 papers), Rheumatoid Arthritis Research and Therapies (8 papers) and Spondyloarthritis Studies and Treatments (6 papers). Dai Gao collaborates with scholars based in China, United States and Australia. Dai Gao's co-authors include Zhuoli Zhang, Yong Fan, Wenhui Xie, Lanlan Ji, Hong Huang, Yanjie Hao, Jiří Lukáš, Steven A. Rosenberg, Wenhsiang Wen and Denice Tsao‐Wei and has published in prestigious journals such as Frontiers in Immunology, Annals of the Rheumatic Diseases and Journal of the American Academy of Dermatology.

In The Last Decade

Dai Gao

32 papers receiving 662 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dai Gao China 16 284 186 147 100 77 37 674
Erin Mangan United States 15 397 1.4× 247 1.3× 212 1.4× 91 0.9× 95 1.2× 39 867
J. Arnoud Marquart Netherlands 15 221 0.8× 152 0.8× 204 1.4× 38 0.4× 48 0.6× 25 843
Arnaud François France 15 157 0.6× 180 1.0× 220 1.5× 110 1.1× 92 1.2× 68 821
Kelly Maurer United States 16 184 0.6× 305 1.6× 434 3.0× 95 0.9× 142 1.8× 32 824
Maria C. M. Bickerstaff United Kingdom 6 157 0.6× 287 1.5× 469 3.2× 112 1.1× 82 1.1× 6 876
Satoshi Jodo Japan 14 150 0.5× 308 1.7× 350 2.4× 56 0.6× 118 1.5× 36 758
Yoshio Ozaki Japan 16 191 0.7× 185 1.0× 585 4.0× 108 1.1× 137 1.8× 43 1.0k
Wahiba Chaara France 13 183 0.6× 158 0.8× 630 4.3× 106 1.1× 128 1.7× 15 1.0k
Milan Buc Slovakia 15 148 0.5× 114 0.6× 287 2.0× 51 0.5× 71 0.9× 44 671
Aleida M. Bakker Netherlands 15 209 0.7× 200 1.1× 714 4.9× 122 1.2× 142 1.8× 20 1.2k

Countries citing papers authored by Dai Gao

Since Specialization
Citations

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

Fields of papers citing papers by Dai Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dai Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Dai Gao. A scholar is included among the top collaborators of Dai Gao 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 Dai Gao. Dai Gao 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
3.
Gao, Dai, Lanlan Ji, Xiaohui Zhang, et al.. (2025). Transitioning from Lupus Low Disease Activity State to remission in systemic lupus erythematosus: real-world evidence. Frontiers in Immunology. 16. 1546306–1546306.
4.
Xie, Wenhui, Minjie Li, Hong Huang, et al.. (2025). Association between triglyceride-glucose index and subclinical carotid atherosclerosis in systemic lupus erythematosus: a cohort-based study. Frontiers in Immunology. 16. 1614970–1614970. 1 indexed citations
5.
Zhang, Xiaohui, Hong Huang, Dai Gao, et al.. (2023). Comparison of the Effectiveness and Safety of Mycophenolate Mofetil and Cyclophosphamide in Lupus Nephritis: Evidence from a Real-World Study. Rheumatology and Therapy. 10(5). 1199–1213. 4 indexed citations
6.
7.
Fan, Yong, Dai Gao, & Zhuoli Zhang. (2022). Telitacicept, a novel humanized, recombinant TACI-Fc fusion protein, for the treatment of systemic lupus erythematosus. Drugs of today. 58(1). 23–32. 44 indexed citations
8.
Wang, Yiwen, Zheng Zhao, Dai Gao, et al.. (2022). Clinical value of plasmablasts in predicting disease relapse in patients with IgG4-related disease. Clinical Rheumatology. 42(1). 135–143. 1 indexed citations
9.
Hao, Yanjie, Shereen Oon, Lanlan Ji, et al.. (2021). Determinants and protective associations of the lupus low disease activity state in a prospective Chinese cohort. Clinical Rheumatology. 41(2). 357–366. 15 indexed citations
10.
Fan, Yong, Yan Geng, Yu Wang, et al.. (2021). Safety and disease flare of autoimmune inflammatory rheumatic diseases: a large real-world survey on inactivated COVID-19 vaccines. Annals of the Rheumatic Diseases. 81(3). 443–445. 39 indexed citations
11.
Fan, Yong, Yanjie Hao, Dai Gao, et al.. (2021). Phenotype and function of macrophage polarization in monocrotaline-induced pulmonary arterial hypertension rat model. Physiological Research. 70(2). 213–226. 29 indexed citations
12.
Huang, Hong, Mu Lin, Zhuoli Zhang, et al.. (2021). Treatments and outcomes in Chinese patients with serologically active clinically quiescent systemic lupus erythematosus: a retrospective observational study. Arthritis Research & Therapy. 23(1). 275–275. 9 indexed citations
13.
Gao, Dai, Yanjie Hao, Yong Fan, Lanlan Ji, & Zhuoli Zhang. (2021). Predicting lupus low disease activity state and remission in SLE: novel insights. Expert Review of Clinical Immunology. 17(10). 1083–1089. 2 indexed citations
14.
Zhang, Huijuan, Haoze Zhang, Dai Gao, et al.. (2020). Overlapping Sjogren’s syndrome reduces the probability of reaching target in rheumatoid arthritis patients: a propensity score matched real-world cohort from 2009 to 2019. Arthritis Research & Therapy. 22(1). 100–100. 11 indexed citations
15.
Xie, Wenhui, Xinlei Yang, Hong Huang, et al.. (2020). Risk of malignancy with non-TNFi biologic or tofacitinib therapy in rheumatoid arthritis: A meta-analysis of observational studies. Seminars in Arthritis and Rheumatism. 50(5). 930–937. 30 indexed citations
16.
Xie, Wenhui, Hong Huang, Xuerong Deng, Dai Gao, & Zhuoli Zhang. (2020). Modifiable lifestyle and environmental factors associated with onset of psoriatic arthritis in patients with psoriasis: A systematic review and meta-analysis of observational studies. Journal of the American Academy of Dermatology. 84(3). 701–711. 35 indexed citations
17.
Wang, Yiwen, Dai Gao, Xiaojian Ji, et al.. (2019). When brucellosis met the Assessment of SpondyloArthritis international Society classification criteria for spondyloarthritis: a comparative study. Clinical Rheumatology. 38(7). 1873–1880. 4 indexed citations
18.
Xie, Wenhui, Shiyu Xiao, Xiaoying Sun, et al.. (2019). A meta-analysis of biologic therapies on risk of new or recurrent cancer in patients with rheumatoid arthritis and a prior malignancy. Lara D. Veeken. 59(5). 930–939. 30 indexed citations
19.
Wang, Yiwen, Dai Gao, Kunpeng Li, et al.. (2017). The value of 18 F-FDG PET/CT in the distinction between retroperitoneal fibrosis and its malignant mimics. Seminars in Arthritis and Rheumatism. 47(4). 593–600. 23 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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