Ping Zhu

5.7k total citations · 1 hit paper
142 papers, 3.7k citations indexed

About

Ping Zhu is a scholar working on Immunology, Rheumatology and Molecular Biology. According to data from OpenAlex, Ping Zhu has authored 142 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Immunology, 51 papers in Rheumatology and 43 papers in Molecular Biology. Recurrent topics in Ping Zhu's work include Signaling Pathways in Disease (30 papers), T-cell and B-cell Immunology (28 papers) and Systemic Lupus Erythematosus Research (21 papers). Ping Zhu is often cited by papers focused on Signaling Pathways in Disease (30 papers), T-cell and B-cell Immunology (28 papers) and Systemic Lupus Erythematosus Research (21 papers). Ping Zhu collaborates with scholars based in China, United States and Netherlands. Ping Zhu's co-authors include Zhi‐Nan Chen, Zhaohui Zheng, Lina Chen, Jin Ding, Kui Zhang, Jinlin Miao, Conghua Wang, Zhenbiao Wu, Xueyi Li and Ning Lü and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Nature Communications.

In The Last Decade

Ping Zhu

139 papers receiving 3.6k citations

Hit Papers

TNF antagonist sensitizes synovial fibroblasts to ferropt... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Zhu China 34 1.8k 1.4k 1.2k 532 380 142 3.7k
Akari Suzuki Japan 37 1.2k 0.7× 1.1k 0.8× 1.2k 1.0× 506 1.0× 245 0.6× 100 3.6k
Keishi Fujio Japan 35 2.2k 1.3× 848 0.6× 1.1k 0.9× 859 1.6× 222 0.6× 208 4.1k
Kunihiro Ichinose Japan 31 1.2k 0.7× 773 0.6× 1.3k 1.1× 316 0.6× 248 0.7× 188 3.1k
Timothy R. D. J. Radstake Netherlands 34 2.5k 1.4× 960 0.7× 1.3k 1.1× 594 1.1× 395 1.0× 81 4.5k
Michael Bonelli Austria 28 1.7k 1.0× 687 0.5× 976 0.8× 592 1.1× 223 0.6× 72 3.2k
Dora Pascual‐Salcedo Spain 33 1.5k 0.9× 777 0.6× 1.6k 1.4× 487 0.9× 443 1.2× 136 3.5k
Christian Lood United States 35 2.9k 1.7× 1.8k 1.3× 1.3k 1.1× 308 0.6× 451 1.2× 98 4.7k
Teresa Bellón Spain 38 2.9k 1.6× 1.2k 0.8× 871 0.8× 812 1.5× 282 0.7× 102 5.9k
Hiroaki Niiro Japan 43 2.8k 1.6× 1.3k 0.9× 878 0.8× 843 1.6× 713 1.9× 145 5.4k
Yoshitaka Morita Japan 26 1.0k 0.6× 659 0.5× 775 0.7× 608 1.1× 296 0.8× 105 2.7k

Countries citing papers authored by Ping Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Ping Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Zhu. A scholar is included among the top collaborators of Ping 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 Ping Zhu. Ping 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.
Zhai, Yue, et al.. (2025). Post‐Translational Modified Neoantigens in Autoimmune Diseases: Challenges of Immune Tolerance. Advanced Science. 12(34). e01766–e01766. 1 indexed citations
2.
Sun, Haoyang, Jinlin Miao, Kui Zhang, et al.. (2025). Id2 exacerbates the development of rheumatoid arthritis by increasing IFN‐γ production in CD4+ T cells. Clinical and Translational Medicine. 15(3). e70242–e70242. 1 indexed citations
3.
Wang, Jiawei, Jinlin Miao, & Ping Zhu. (2024). Insights into the complexities of Citrullination: From immune regulation to autoimmune disease. Autoimmunity Reviews. 24(3). 103734–103734. 1 indexed citations
4.
Jiang, Chunjie, Guojuan Lao, Jianmin Ran, & Ping Zhu. (2024). Berberine alleviates AGEs-induced ferroptosis by activating NRF2 in the skin of diabetic mice. Experimental Biology and Medicine. 249. 10280–10280. 3 indexed citations
5.
Zhu, Ping, et al.. (2024). Incidence and risk factors of active tuberculosis among older individuals with latent tuberculosis infection: a cohort study in two high-epidemic sites in eastern China. Frontiers in Cellular and Infection Microbiology. 14. 1332211–1332211. 2 indexed citations
8.
Wang, Yuhong, Xiaowen Liu, Huijing Yu, et al.. (2023). Effects of bilateral repetitive transcranial magnetic stimulation on prospective memory in patients with schizophrenia: A double‐blind randomized controlled clinical trial. Neuropsychopharmacology Reports. 44(1). 97–108. 1 indexed citations
9.
Zheng, Yan, Kui Zhang, Qing Han, et al.. (2023). Deep-learning based quantification model for hip bone marrow edema and synovitis in patients with spondyloarthritis based on magnetic resonance images. Frontiers in Physiology. 14. 1132214–1132214. 10 indexed citations
10.
Geng, Jiejie, Ruo Chen, Lin Peng, et al.. (2021). CD98-induced CD147 signaling stabilizes the Foxp3 protein to maintain tissue homeostasis. Cellular and Molecular Immunology. 18(12). 2618–2631. 14 indexed citations
11.
Zhang, Kui, Yan Zheng, Qing Han, et al.. (2021). The Clinical and MRI Effect of TNF-α Inhibitors in Spondyloarthritis Patients With Hip Involvement: A Real-World Observational Clinical Study. Frontiers in Immunology. 12. 740980–740980. 4 indexed citations
12.
Luan, Jing, Kui Zhang, Yang Zhang, et al.. (2018). The combination of FK506 and an anti-CD147 mAb exerts potential therapeutic effects on a mouse model of collagen-induced arthritis. Molecular Immunology. 101. 1–9. 10 indexed citations
13.
Xiang, Nan, Xiaomei Li, Dongbao Zhao, et al.. (2015). Total glucosides of paeony can reduce the hepatotoxicity caused by Methotrexate and Leflunomide combination treatment of active rheumatoid arthritis. International Immunopharmacology. 28(1). 802–807. 43 indexed citations
14.
Zhai, Yue, Bo Wu, Jia Li, et al.. (2015). CD147 promotes IKK/IκB/NF-κB pathway to resist TNF-induced apoptosis in rheumatoid arthritis synovial fibroblasts. Journal of Molecular Medicine. 94(1). 71–82. 38 indexed citations
15.
Feng, Yuan, et al.. (2012). Interferon-γ Contributes to HLA-B27-associated Unfolded Protein Response in Spondyloarthropathies. The Journal of Rheumatology. 39(3). 574–582. 32 indexed citations
16.
Li, Xueyi, Zhenbiao Wu, Jin Ding, et al.. (2012). Role of the frequency of blood CD4+ CXCR5+ CCR6+ T cells in autoimmunity in patients with Sjögren’s syndrome. Biochemical and Biophysical Research Communications. 422(2). 238–244. 149 indexed citations
17.
Hu, Jinsong, Hui Yao, Yu Li, et al.. (2010). Involvement of HAb18G/CD147 in T cell activation and immunological synapse formation. Journal of Cellular and Molecular Medicine. 14(8). 2132–2143. 28 indexed citations
18.
Chen, Nan, et al.. (2009). Comparative study of continuous ambulatory peritoneal dialysis and hemodialysis on polycystic kidney disease patients. 25(2). 101–105. 2 indexed citations
19.
Dong, Weijia, Xiaoyan Li, Hui Liu, & Ping Zhu. (2008). Infiltrations of plasma cells in synovium are highly associated with synovial fluid levels of APRIL in inflamed peripheral joints of rheumatoid arthritis. Rheumatology International. 29(7). 801–806. 19 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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