Sirui Yang

1.1k total citations · 1 hit paper
37 papers, 761 citations indexed

About

Sirui Yang is a scholar working on Immunology, Surgery and Rheumatology. According to data from OpenAlex, Sirui Yang has authored 37 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 11 papers in Surgery and 9 papers in Rheumatology. Recurrent topics in Sirui Yang's work include Systemic Lupus Erythematosus Research (8 papers), Kawasaki Disease and Coronary Complications (7 papers) and T-cell and B-cell Immunology (5 papers). Sirui Yang is often cited by papers focused on Systemic Lupus Erythematosus Research (8 papers), Kawasaki Disease and Coronary Complications (7 papers) and T-cell and B-cell Immunology (5 papers). Sirui Yang collaborates with scholars based in China, United States and Belgium. Sirui Yang's co-authors include Jinghua Wang, Meng Xu, Lu Pan, Meiping Lu, Baldev K. Nottay, Mark A. Pallansch, Chunfu Yang, Yan Zhou, David R. Kilpatrick and Mick N. Mulders and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Journal of Clinical Microbiology.

In The Last Decade

Sirui Yang

35 papers receiving 749 citations

Hit Papers

Immunological pathogenesis and treatment of systemic lupu... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Immunological pathogenesis and treatment of systemic lupus erythematosus
    2019 267 citations Lu Pan, Meiping Lu et al. World Journal of Pediatrics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sirui Yang China 14 276 237 190 140 122 37 761
Pascale Nicaise France 15 310 1.1× 305 1.3× 90 0.5× 132 0.9× 59 0.5× 32 981
Carlos Zamora Spain 17 237 0.9× 91 0.4× 138 0.7× 109 0.8× 31 0.3× 43 736
Ziv Paz Israel 13 218 0.8× 208 0.9× 46 0.2× 66 0.5× 81 0.7× 29 617
Ιωάννα Μαρίνου Greece 19 277 1.0× 325 1.4× 45 0.2× 139 1.0× 171 1.4× 35 984
Laura Soldini Italy 14 570 2.1× 103 0.4× 67 0.4× 127 0.9× 97 0.8× 31 1.2k
Michael Platzer United States 21 250 0.9× 156 0.7× 257 1.4× 148 1.1× 305 2.5× 31 1.2k
Silvia Lee Australia 18 385 1.4× 71 0.3× 118 0.6× 72 0.5× 94 0.8× 95 929
Oriano Radillo Italy 19 612 2.2× 125 0.5× 51 0.3× 140 1.0× 38 0.3× 51 1.1k
Aurélien Guffroy France 15 281 1.0× 264 1.1× 23 0.1× 107 0.8× 94 0.8× 48 700
Krzysztof Bielecki Poland 12 107 0.4× 78 0.3× 92 0.5× 74 0.5× 67 0.5× 52 650

Countries citing papers authored by Sirui Yang

Since Specialization
Citations

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

Fields of papers citing papers by Sirui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sirui Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Sirui Yang. A scholar is included among the top collaborators of Sirui Yang 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 Sirui Yang. Sirui Yang 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.
2.
Jiang, Shuai, et al.. (2024). Deep Learning-Driven Optimization of Antihypertensive Properties from Whey Protein Hydrolysates: A Multienzyme Approach. Journal of Agricultural and Food Chemistry. 73(2). 1373–1388. 6 indexed citations
3.
Tang, Xuemei, Zhixuan Zhou, Wei Zhou, et al.. (2024). Efficacy and safety of tocilizumab in Chinese patients with systemic juvenile idiopathic arthritis: a multicentre phase IV trial. Clinical Rheumatology. 43(11). 3457–3467. 3 indexed citations
4.
Pan, Lu, et al.. (2023). Childhood-onset systemic lupus erythematosus: characteristics and the prospect of glucocorticoid pulse therapy. Frontiers in Immunology. 14. 1128754–1128754. 10 indexed citations
5.
Zhang, Changming, Sirui Yang, Yinghua Chen, et al.. (2022). Novel loss-of-function mutations in TNFAIP3 gene in patients with lupus nephritis. Clinical Kidney Journal. 15(11). 2027–2038. 15 indexed citations
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Chen, Yilin, et al.. (2020). [Advances in oral bacteria influencing host epigenetic regulation].. PubMed Central. 38(5). 583–588. 1 indexed citations
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Pan, Lu, et al.. (2020). Deficiency in the frequency and function of Tr1 cells in IgAV and the possible role of IL-27. Lara D. Veeken. 60(7). 3432–3442. 11 indexed citations
10.
Pan, Lu, Meiping Lu, Jinghua Wang, Meng Xu, & Sirui Yang. (2019). Immunological pathogenesis and treatment of systemic lupus erythematosus. World Journal of Pediatrics. 16(1). 19–30. 267 indexed citations breakdown →
11.
Xu, Meng, Yanfang Jiang, Jinghua Wang, et al.. (2019). Distribution of distinct subsets of circulating T follicular helper cells in Kawasaki disease. BMC Pediatrics. 19(1). 43–43. 13 indexed citations
12.
Xu, Meng, Yanfang Jiang, Jinghua Wang, et al.. (2019). Distinct variations of antibody secreting cells and memory B cells during the course of Kawasaki disease. BMC Immunology. 20(1). 16–16. 15 indexed citations
13.
Wu, Jianfeng, Sirui Yang, Di Yu, et al.. (2018). CRISPR/cas9 mediated knockout of an intergenic variant rs6927172 identified IL-20RA as a new risk gene for multiple autoimmune diseases. Genes and Immunity. 20(2). 103–111. 19 indexed citations
14.
Liu, Xianjun, Wenjing Gao, Di Yu, et al.. (2017). A functional variant in the OAS1 gene is associated with Sjögren’s syndrome complicated with HBV infection. Scientific Reports. 7(1). 17571–17571. 19 indexed citations
15.
16.
Yang, Sirui, et al.. (2014). Cardiac embryonal rhabdomyosarcoma in an adult. European Journal of Cardio-Thoracic Surgery. 45(6). e233–e233. 1 indexed citations
17.
Zhou, Yan, et al.. (2012). Cardiovascular Risk Factors Significantly Correlate With Autonomic Nervous System Activity in Children. Canadian Journal of Cardiology. 28(4). 477–482. 52 indexed citations
18.
Liu, Yahui, Sirui Yang, & Qian Tong. (2011). Spontaneous Intramural Hematoma of Colon. Clinical Gastroenterology and Hepatology. 10(4). e38–e38. 22 indexed citations
19.
Zhang, Fengyu, et al.. (2009). Association between the PD1.3A/G polymorphism of the PDCD1 gene and systemic lupus erythematosus in European populations: a meta‐analysis. Journal of the European Academy of Dermatology and Venereology. 23(4). 425–432. 30 indexed citations
20.
Yang, Sirui & Gek-Kee Sim. (1999). New forms of dog CD80 and CD86 transcripts that encode secreted B7 molecules. Immunogenetics. 50(5-6). 349–353. 14 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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