Ruili Qi

1.1k total citations · 1 hit paper
17 papers, 823 citations indexed

About

Ruili Qi is a scholar working on Molecular Biology, Immunology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ruili Qi has authored 17 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ruili Qi's work include interferon and immune responses (2 papers), Virus-based gene therapy research (2 papers) and Tea Polyphenols and Effects (2 papers). Ruili Qi is often cited by papers focused on interferon and immune responses (2 papers), Virus-based gene therapy research (2 papers) and Tea Polyphenols and Effects (2 papers). Ruili Qi collaborates with scholars based in China, Canada and United States. Ruili Qi's co-authors include Yoshinori Mine, Rong Tsao, Lujuan Xing, Hua Zhang, Hua Zhang, Lili Gong, Qian Nie, Qin Ke, Ming Zou and Xiangcheng Tang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Agricultural and Food Chemistry and Free Radical Biology and Medicine.

In The Last Decade

Ruili Qi

15 papers receiving 810 citations

Hit Papers

Recent Advances in the Understanding of the Health Benefi... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruili Qi China 10 314 273 190 147 80 17 823
Claudia Musiał Poland 6 233 0.7× 174 0.6× 178 0.9× 93 0.6× 20 0.3× 11 682
Monthana Weerawatanakorn Thailand 15 107 0.3× 138 0.5× 149 0.8× 233 1.6× 48 0.6× 41 813
Van‐Long Truong South Korea 12 143 0.5× 374 1.4× 135 0.7× 97 0.7× 52 0.7× 32 926
Masazumi Suzuki Japan 8 406 1.3× 90 0.3× 271 1.4× 97 0.7× 62 0.8× 12 615
Sung‐Joon Lee South Korea 18 116 0.4× 369 1.4× 155 0.8× 173 1.2× 27 0.3× 56 1.1k
Yuxi Guo China 23 64 0.2× 396 1.5× 184 1.0× 321 2.2× 32 0.4× 58 1.3k
Yewei Huang China 15 167 0.5× 169 0.6× 98 0.5× 94 0.6× 18 0.2× 26 603
You‐Cheng Shen Taiwan 21 98 0.3× 305 1.1× 233 1.2× 205 1.4× 36 0.5× 48 1.1k
Dae Joong Kim South Korea 20 105 0.3× 474 1.7× 208 1.1× 194 1.3× 73 0.9× 46 1.3k

Countries citing papers authored by Ruili Qi

Since Specialization
Citations

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

Fields of papers citing papers by Ruili Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruili Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Ruili Qi. A scholar is included among the top collaborators of Ruili Qi 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 Ruili Qi. Ruili Qi 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.
Huang, Shan, et al.. (2025). Personalized prediction of psoriasis relapse post-biologic discontinuation: a machine learning-driven population cohort study. Journal of Dermatological Treatment. 36(1). 2480743–2480743.
2.
Qi, Ruili, Tong‐Chuan He, Russell R. Reid, et al.. (2025). Spina bifida as a multifactorial birth defect: Risk factors and genetic underpinnings. PubMed. 3(2). e2517–e2517.
3.
Zou, Ming, Qin Ke, Qian Nie, et al.. (2022). Inhibition of cGAS-STING by JQ1 alleviates oxidative stress-induced retina inflammation and degeneration. Cell Death and Differentiation. 29(9). 1816–1833. 76 indexed citations
4.
Ke, Qin, Lili Gong, Xingfei Zhu, et al.. (2022). Multinucleated Retinal Pigment Epithelial Cells Adapt to Vision and Exhibit Increased DNA Damage Response. Cells. 11(9). 1552–1552. 7 indexed citations
5.
Zou, Ming, Lili Gong, Qin Ke, et al.. (2021). Heterochromatin inhibits cGAS and STING during oxidative stress-induced retinal pigment epithelium and retina degeneration. Free Radical Biology and Medicine. 178. 147–160. 11 indexed citations
6.
Sun, Qian, Lili Gong, Ruili Qi, et al.. (2019). Oxidative stress-induced KLF4 activates inflammatory response through IL17RA and its downstream targets in retinal pigment epithelial cells. Free Radical Biology and Medicine. 147. 271–281. 19 indexed citations
7.
Xing, Lujuan, Hua Zhang, Ruili Qi, Rong Tsao, & Yoshinori Mine. (2019). Recent Advances in the Understanding of the Health Benefits and Molecular Mechanisms Associated with Green Tea Polyphenols. Journal of Agricultural and Food Chemistry. 67(4). 1029–1043. 431 indexed citations breakdown →
8.
Nie, Qian, Yuan Xiao, Xuan Wang, et al.. (2019). Localization Patterns of Sumoylation Enzymes E1, E2 and E3 in Ocular Cell Lines Predict Their Functional Importance. Current Molecular Medicine. 18(8). 516–522. 1 indexed citations
9.
Zhang, Hua, Ruili Qi, Yuhan Zeng, Rong Tsao, & Yoshinori Mine. (2019). Chinese Sweet Leaf Tea (Rubus suavissimus) Mitigates LPS-Induced Low-Grade Chronic Inflammation and Reduces the Risk of Metabolic Disorders in a C57BL/6J Mouse Model. Journal of Agricultural and Food Chemistry. 68(1). 138–146. 32 indexed citations
10.
Zhang, Hua, Ruili Qi, & Yoshinori Mine. (2019). The impact of oolong and black tea polyphenols on human health. Food Bioscience. 29. 55–61. 132 indexed citations
11.
Xiao, Yuan, Huimin Chen, Yunfei Liu, et al.. (2019). Glucose Oxidase- and UVA-Induced Changes in the Expression Patterns of Seven De-sumoylation Enzymes (SENPs) Are Associated with Cataract Development. Current Molecular Medicine. 19(1). 48–53. 6 indexed citations
12.
Gong, Lili, Fangyuan Liu, Zhen Xiong, et al.. (2018). Heterochromatin protects retinal pigment epithelium cells from oxidative damage by silencing p53 target genes. Proceedings of the National Academy of Sciences. 115(17). E3987–E3995. 24 indexed citations
13.
Li, Yuejun, et al.. (2017). Paeoniflorin suppresses pancreatic cancer cell growth by upregulating HTRA3 expression. Drug Design Development and Therapy. Volume 11. 2481–2491. 47 indexed citations
14.
Yang, Yunsheng, et al.. (2017). SUMOylation in Neurological Diseases. Current Molecular Medicine. 16(10). 893–899. 11 indexed citations
15.
Hu, Xiang, Qian Nie, Ruili Qi, et al.. (2017). Regulation of CREB Functions by Phosphorylation and Sumoylation in Nervous and Visual Systems. Current Molecular Medicine. 16(10). 885–892. 17 indexed citations
16.
Wu, Bingbing, Ruili Qi, Jun He, et al.. (2012). Effect of immunization with a recombinant cholera toxin B subunit/somatostatin fusion protein on immune response and growth hormone levels in mice. Biotechnology Letters. 34(12). 2199–2203. 4 indexed citations
17.
Wu, Bingbing, Ruili Qi, Bin Li, et al.. (2012). Effect of active immunization against a recombinant mouse granulocyte-macrophage colony-stimulating factor/somatostatin fusion protein on the growth of mice. Molecular Biology Reports. 39(6). 6773–6779. 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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