Wu Zhu

3.5k total citations · 1 hit paper
109 papers, 2.3k citations indexed

About

Wu Zhu is a scholar working on Immunology, Dermatology and Molecular Biology. According to data from OpenAlex, Wu Zhu has authored 109 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Immunology, 33 papers in Dermatology and 32 papers in Molecular Biology. Recurrent topics in Wu Zhu's work include Psoriasis: Treatment and Pathogenesis (46 papers), Dermatology and Skin Diseases (28 papers) and Urticaria and Related Conditions (10 papers). Wu Zhu is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (46 papers), Dermatology and Skin Diseases (28 papers) and Urticaria and Related Conditions (10 papers). Wu Zhu collaborates with scholars based in China, United States and Canada. Wu Zhu's co-authors include Cong Peng, Xiang Chen, Yehong Kuang, Chao Chen, Panpan Liu, Xiang Chen, Bei Yan, Lei Zhu, Shuang Zhao and Juan Su and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Bone and Mineral Research.

In The Last Decade

Wu Zhu

105 papers receiving 2.2k citations

Hit Papers

The mechanisms of lysophosphatidylcholine in the developm... 2020 2026 2022 2024 2020 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
Wu Zhu China 21 868 716 464 245 241 109 2.3k
Feng Xue China 28 808 0.9× 728 1.0× 372 0.8× 154 0.6× 290 1.2× 87 2.3k
Fei Chen China 22 582 0.7× 713 1.0× 141 0.3× 226 0.9× 187 0.8× 81 2.1k
Hong‐Duo Chen China 30 714 0.8× 506 0.7× 1.2k 2.7× 184 0.8× 158 0.7× 204 3.3k
Xing‐Hua Gao China 29 586 0.7× 532 0.7× 1.1k 2.4× 166 0.7× 134 0.6× 197 3.1k
Hiroyuki Fujita Japan 29 812 0.9× 533 0.7× 238 0.5× 414 1.7× 170 0.7× 188 3.2k
Kwan‐Kyu Park South Korea 37 1.4k 1.6× 449 0.6× 180 0.4× 277 1.1× 485 2.0× 150 4.2k
Xing Chen China 22 660 0.8× 778 1.1× 119 0.3× 124 0.5× 206 0.9× 80 1.9k
Satoshi Takeuchi Japan 20 388 0.4× 320 0.4× 1.0k 2.2× 367 1.5× 72 0.3× 68 1.9k
Gaku Tsuji Japan 36 760 0.9× 1.2k 1.6× 2.1k 4.4× 683 2.8× 173 0.7× 121 3.8k
Mengli Zhang China 27 777 0.9× 194 0.3× 611 1.3× 248 1.0× 314 1.3× 170 2.4k

Countries citing papers authored by Wu Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Wu Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wu Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Wu Zhu. A scholar is included among the top collaborators of Wu Zhu 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 Wu Zhu. Wu Zhu 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.
Yuan, Yan, Li Rao, Yehong Kuang, et al.. (2025). Modulation of gut propionate and intestinal mucosal protection by Bifidobacterium longum: Mitigating methotrexate side effects without compromising the efficacy of psoriasis therapy. International Immunopharmacology. 149. 114196–114196. 2 indexed citations
2.
Qiu, Peng, Lujuan Wang, Ying Long, et al.. (2025). SRSF9 mediates oncogenic RNA splicing of SLC37A4 via liquid–liquid phase separation to promote oral cancer progression. Journal of Advanced Research. 79. 505–520. 3 indexed citations
3.
Lu, Yan, et al.. (2024). Adenosine A2A receptor activation regulates the M1 macrophages activation to initiate innate and adaptive immunity in psoriasis. Clinical Immunology. 266. 110309–110309. 6 indexed citations
4.
Xiao, Hui, Wu Zhu, & Danrong Jing. (2024). Association between frailty and common psychiatric disorders: A bidirectional Mendelian randomization study. Journal of Affective Disorders. 371. 1–5. 5 indexed citations
5.
Wang, Yujie, et al.. (2023). Exploring genetic associations between allergic diseases and indicators of COVID-19 using mendelian randomization. iScience. 26(6). 106936–106936. 5 indexed citations
6.
Luo, Yan, Xingyu Li, Jing Yang, et al.. (2023). Elevated C-Reactive Protein and Erythrocyte Sedimentation Rate Correlates with Depression in Psoriasis: A Chinese Cross-Sectional Study. Clinical Cosmetic and Investigational Dermatology. Volume 16. 397–405. 2 indexed citations
7.
Yi, Yan, Danrong Jing, Yeye Guo, et al.. (2023). Age at Natural Menopause, Reproductive Lifespan, and the Risk of Late-Onset Psoriasis and Psoriatic Arthritis in Women: A Prospective Cohort Study. Journal of Investigative Dermatology. 144(6). 1273–1281.e5. 11 indexed citations
8.
Xu, Jing, Chen Li, Jian Li, et al.. (2023). Multi-modality data-driven analysis of diagnosis and treatment of psoriatic arthritis. npj Digital Medicine. 6(1). 13–13. 7 indexed citations
9.
Liu, Panpan, Youyou Zhou, Chao Chen, et al.. (2023). Lysophosphatidylcholine facilitates the pathogenesis of psoriasis through activating keratinocytes and T cells differentiation via glycolysis. Journal of the European Academy of Dermatology and Venereology. 37(7). 1344–1360. 15 indexed citations
11.
Liu, Jie, et al.. (2023). Causal Associations Between Gut Microbiota and Psoriasis: A Mendelian Randomization Study. Dermatology and Therapy. 13(10). 2331–2343. 15 indexed citations
12.
Wang, Qiaolin, et al.. (2022). Relationship between patient acceptable symptom state and disease scores in psoriasis. The Journal of Dermatology. 49(4). 448–453. 1 indexed citations
13.
Liu, Panpan, Guixue Hou, Yehong Kuang, et al.. (2022). Lipidomic profiling reveals metabolic signatures in psoriatic skin lesions. Clinical Immunology. 246. 109212–109212. 15 indexed citations
14.
Huang, Kai, Zixi Jiang, Yixin Li, et al.. (2021). The Classification of Six Common Skin Diseases Based on Xiangya-Derm: Development of a Chinese Database for Artificial Intelligence. Journal of Medical Internet Research. 23(9). e26025–e26025. 22 indexed citations
15.
Yu, Lihua, Lulu Huang, Xiaorong Lai, et al.. (2021). GD2-specific chimeric antigen receptor-modified T cells for the treatment of refractory and/or recurrent neuroblastoma in pediatric patients. Journal of Cancer Research and Clinical Oncology. 148(10). 2643–2652. 57 indexed citations
16.
Yan, Bei, et al.. (2020). The role of Langerhans cells in epidermal homeostasis and pathogenesis of psoriasis. Journal of Cellular and Molecular Medicine. 24(20). 11646–11655. 27 indexed citations
17.
Chen, Chao, Lirong Tan, Wu Zhu, et al.. (2020). Targeting Myeloid-Derived Suppressor Cells Is a Novel Strategy for Anti-Psoriasis Therapy. Mediators of Inflammation. 2020. 1–12. 15 indexed citations
18.
Liu, Panpan, Wu Zhu, Chao Chen, et al.. (2020). The mechanisms of lysophosphatidylcholine in the development of diseases. Life Sciences. 247. 117443–117443. 359 indexed citations breakdown →
19.
Yan, Siyu, Wangqing Chen, Cong Peng, et al.. (2019). C‐reactive protein (CRP) rs3093059C predicts poor mizolastine response in chronic spontaneous urticaria patients with elevated serum CRP level. Experimental Dermatology. 28(3). 240–246. 6 indexed citations
20.
Su, Juan, Ji Li, Haiyan Luo, et al.. (2016). Demographic and clinical characteristics and risk factors for Staphylococcal scalded skin syndrome in Hunan.. PubMed. 41(4). 417–21. 6 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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