Yuling Shi

5.6k total citations · 3 hit papers
158 papers, 3.5k citations indexed

About

Yuling Shi is a scholar working on Immunology, Dermatology and Molecular Biology. According to data from OpenAlex, Yuling Shi has authored 158 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Immunology, 60 papers in Dermatology and 34 papers in Molecular Biology. Recurrent topics in Yuling Shi's work include Psoriasis: Treatment and Pathogenesis (78 papers), Dermatology and Skin Diseases (48 papers) and Cytokine Signaling Pathways and Interactions (15 papers). Yuling Shi is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (78 papers), Dermatology and Skin Diseases (48 papers) and Cytokine Signaling Pathways and Interactions (15 papers). Yuling Shi collaborates with scholars based in China, United States and Czechia. Yuling Shi's co-authors include Youdong Chen, Shigeki Miyamoto, Lian Cui, Chunyuan Guo, Randal S. Tibbetts, Zhao‐Hui Wu, Zeyu Chen, Yu Gong, Qian Yu and Jixiao Niu and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yuling Shi

144 papers receiving 3.5k citations

Hit Papers

Advances in the pathogenesis of psoriasis: from keratinoc... 2022 2026 2023 2024 2022 2022 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuling Shi China 29 1.6k 1.2k 850 593 548 158 3.5k
Claus Johansen Denmark 35 2.2k 1.3× 1.3k 1.0× 1.2k 1.4× 558 0.9× 727 1.3× 115 3.7k
Mayumi Fujita United States 34 1.4k 0.9× 1.9k 1.6× 561 0.7× 425 0.7× 1.0k 1.9× 131 4.1k
Min Hee Oh United States 23 1.7k 1.0× 1.2k 1.0× 679 0.8× 743 1.3× 666 1.2× 44 3.7k
Fujio Otsuka Japan 30 1.4k 0.9× 2.0k 1.6× 1.2k 1.5× 311 0.5× 825 1.5× 178 5.4k
Inna S. Afonina Belgium 18 1.7k 1.1× 1.1k 0.9× 249 0.3× 297 0.5× 268 0.5× 26 2.8k
Junjie Zhao China 33 1.4k 0.9× 1.9k 1.6× 167 0.2× 686 1.2× 718 1.3× 114 4.2k
Reinhart Speeckaert Belgium 38 1.3k 0.8× 785 0.6× 761 0.9× 194 0.3× 413 0.8× 143 4.0k
Claudia Scarponi Italy 27 1.7k 1.0× 506 0.4× 1.0k 1.2× 144 0.2× 654 1.2× 47 2.8k
Stefania Madonna Italy 27 1.4k 0.9× 638 0.5× 804 0.9× 113 0.2× 527 1.0× 53 2.5k
Feng Xue China 28 728 0.4× 808 0.7× 372 0.4× 290 0.5× 225 0.4× 87 2.3k

Countries citing papers authored by Yuling Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yuling Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuling Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yuling Shi. A scholar is included among the top collaborators of Yuling Shi 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 Yuling Shi. Yuling Shi 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.
Chen, Zeyu, Morgan Dragan, Peng Sun, et al.. (2025). The AhR-Ovol1-Id1 regulatory axis in keratinocytes promotes epidermal and immune homeostasis in atopic dermatitis-like skin inflammation. Cellular and Molecular Immunology. 22(3). 300–315. 9 indexed citations
2.
Jiang, Yuxiong, Xiaoke Liu, Rui Ma, et al.. (2025). The Impact of Family History on Clinical Presentation and Biologic Treatment Response in Patients with Psoriasis: A Multicenter Prospective Cohort Study. American Journal of Clinical Dermatology. 26(2). 291–300. 2 indexed citations
3.
Ma, Rui, Nan Yang, Hao Mei, et al.. (2025). Associations of exposure to acrylamide and glycidamide with psoriasis among adults: Findings from a population-based study. Ecotoxicology and Environmental Safety. 295. 118147–118147.
5.
Ma, Rui, Lian Cui, Jiangluyi Cai, et al.. (2024). Association between systemic immune inflammation index, systemic inflammation response index and adult psoriasis: evidence from NHANES. Frontiers in Immunology. 15. 1323174–1323174. 54 indexed citations breakdown →
6.
Huang, Dawei, Zitong Chen, Yingyuan Yu, et al.. (2024). Advantages of ultrasound imaging for the early diagnosis of psoriatic arthritis in patients with moderate to severe psoriasis. Heliyon. 10(13). e34136–e34136.
7.
Zheng, Jianfeng, et al.. (2024). Effectiveness of baricitinib in acquired reactive perforating collagenosis: a case report. Frontiers in Immunology. 15. 2 indexed citations
8.
Shi, Yuling, et al.. (2024). The Real-World Effectiveness and Tolerability of a Soothing Cream Containing the Postbiotic Aquaphilus dolomiae Extract-G2 for Skin Healing. Dermatology and Therapy. 14(3). 697–712. 2 indexed citations
9.
Choon, Siew Eng, Peter Foley, Pravit Asawanonda, et al.. (2024). Asia‐Pacific consensus recommendations on the management of generalized pustular psoriasis. The Journal of Dermatology. 51(12). 1579–1595. 3 indexed citations
10.
Chen, Youdong, et al.. (2023). Biologic and Small-Molecule Therapies for Moderate-to-Severe Psoriasis: Focus on Psoriasis Comorbidities. BioDrugs. 37(1). 35–55. 54 indexed citations
11.
Jiang, Xingyu, Rui Ma, Xinyi Tang, et al.. (2023). The role of microRNA in psoriasis: A review. Experimental Dermatology. 32(10). 1598–1612. 19 indexed citations
12.
Huang, Dawei, Yuexin Zhang, Yingyuan Yu, et al.. (2023). Long-term efficacy and safety of dupilumab for severe bullous pemphigoid: A prospective cohort study. International Immunopharmacology. 125(Pt A). 111157–111157. 13 indexed citations
13.
15.
Yang, Yang, et al.. (2022). Discovering Novel Biomarkers Associated with the Pathogenesis of Psoriasis: Evidence from Bioinformatic Analysis. SHILAP Revista de lepidopterología. 5 indexed citations
16.
Sun, Peng, Remy Vu, Morgan Dragan, et al.. (2020). OVOL1 Regulates Psoriasis-Like Skin Inflammation and Epidermal Hyperplasia. Journal of Investigative Dermatology. 141(6). 1542–1552. 18 indexed citations
17.
Xu, Hui, et al.. (2018). An exploration of the optimum dosage and number of cycles of itraconazole pulse therapy for severe onychomycosis. Mycoses. 61(10). 736–742. 9 indexed citations
18.
Yu, Qian, et al.. (2018). Scalp metastases as first presentation of pulmonary adenocarcinomas: a case report. OncoTargets and Therapy. Volume 11. 6147–6151. 4 indexed citations
19.
Chen, Zeyu, Yu Gong, & Yuling Shi. (2017). Novel Biologic Agents Targeting Interleukin-23 and Interleukin-17 for Moderate-to-Severe Psoriasis. Clinical Drug Investigation. 37(10). 891–899. 15 indexed citations
20.
Zhou, Li, Yuling Shi, Kai Li, et al.. (2015). Increased circulating Th17 cells and elevated serum levels of TGF ‐beta and IL ‐21 are correlated with human non‐segmental vitiligo development. Pigment Cell & Melanoma Research. 28(3). 324–329. 68 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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