Chengping Wen

7.5k total citations · 3 hit papers
174 papers, 5.0k citations indexed

About

Chengping Wen is a scholar working on Molecular Biology, Rheumatology and Immunology. According to data from OpenAlex, Chengping Wen has authored 174 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 58 papers in Rheumatology and 41 papers in Immunology. Recurrent topics in Chengping Wen's work include Systemic Lupus Erythematosus Research (30 papers), Pharmacological Effects of Natural Compounds (24 papers) and Gout, Hyperuricemia, Uric Acid (24 papers). Chengping Wen is often cited by papers focused on Systemic Lupus Erythematosus Research (30 papers), Pharmacological Effects of Natural Compounds (24 papers) and Gout, Hyperuricemia, Uric Acid (24 papers). Chengping Wen collaborates with scholars based in China, United States and Hong Kong. Chengping Wen's co-authors include Zhenghao Xu, Zhixing He, Haichang Li, Tieliu Shi, Zhijun Xie, Yujun Tang, Jinjun Ji, Jie‐Ping Wan, Dingyi Zhang and Tiejuan Shao and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Chengping Wen

166 papers receiving 4.9k citations

Hit Papers

Cytokine Storm in COVID-1... 2012 2026 2016 2021 2020 2012 2021 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chengping Wen 1.9k 939 678 677 594 174 5.0k
Ali H. Eid 2.8k 1.5× 339 0.4× 173 0.3× 378 0.6× 677 1.1× 250 8.2k
Tannaz Jamialahmadi 2.0k 1.1× 486 0.5× 186 0.3× 351 0.5× 608 1.0× 323 6.5k
Han Moshage 2.8k 1.5× 386 0.4× 221 0.3× 827 1.2× 803 1.4× 196 9.9k
Yan Yang 2.1k 1.1× 427 0.5× 166 0.2× 212 0.3× 786 1.3× 218 5.3k
Pamela Maffioli 2.0k 1.1× 206 0.2× 135 0.2× 547 0.8× 296 0.5× 188 6.4k
Mingzhu Yin 3.0k 1.6× 596 0.6× 84 0.1× 260 0.4× 854 1.4× 140 6.1k
Liang Liu 3.6k 1.9× 156 0.2× 557 0.8× 1.5k 2.3× 613 1.0× 210 7.0k
Hong‐Hao Zhou 3.6k 1.9× 286 0.3× 159 0.2× 1.7k 2.5× 408 0.7× 258 7.8k
Yue Dai 2.3k 1.2× 122 0.1× 319 0.5× 704 1.0× 706 1.2× 185 5.2k
Jiao Guo 3.4k 1.8× 195 0.2× 142 0.2× 635 0.9× 940 1.6× 165 7.2k

Countries citing papers authored by Chengping Wen

Since Specialization
Citations

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

Fields of papers citing papers by Chengping Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengping Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Chengping Wen. A scholar is included among the top collaborators of Chengping Wen 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 Chengping Wen. Chengping Wen 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.
Huang, Lin, et al.. (2025). Synovial organoids: From fundamental construction to groundbreaking applications in arthritic disorders. Journal of Orthopaedic Translation. 54. 26–36. 1 indexed citations
2.
Shi, Kejian, Yu Lou, An Xu, et al.. (2025). HIF-1α in CD4+ T cells drives gout pathogenesis via metabolic reprogramming and Th17 differentiation. Journal of Pharmaceutical Analysis. 101494–101494.
3.
Zhang, Yun, Lijun Du, Chenxi Wang, et al.. (2024). Neddylation is a novel therapeutic target for lupus by regulating double negative T cell homeostasis. Signal Transduction and Targeted Therapy. 9(1). 18–18. 17 indexed citations
4.
Qiu, Haonan, Yuanfang He, Miao Zhang, et al.. (2024). Qinghao-Biejia Herb Pair attenuates SLE atherosclerosis by regulating macrophage polarization via ABCA1/G1-mediated cholesterol efflux. Journal of Ethnopharmacology. 334. 118545–118545. 6 indexed citations
5.
Wen, Chengping, et al.. (2024). Reporting guidelines for traditional Chinese medicine could be improved: a cross-sectional study. Journal of Clinical Epidemiology. 168. 111279–111279.
6.
Ye, Ding, Bin Liu, Xiaohui Sun, et al.. (2024). Metabolic Syndrome Is Associated With an Increased Risk of Rheumatoid Arthritis: A Prospective Cohort Study Including 369,065 Participants. The Journal of Rheumatology. 51(4). 360–367. 9 indexed citations
7.
Huang, Lin, et al.. (2024). Associations between obesity and hyperuricemia combing mendelian randomization with network pharmacology. Heliyon. 10(6). e27074–e27074. 9 indexed citations
8.
Huang, Yan, Mingqian Zhou, Yixuan Guo, et al.. (2023). Artesunate attenuates serum amyloid A-induced M1 macrophage differentiation through the promotion of PHGDH. International Immunopharmacology. 127. 111462–111462. 7 indexed citations
9.
Li, Yiling, et al.. (2023). Gas Chromatography–Mass Spectrometry Reveals Stage-Specific Metabolic Signatures of Ankylosing Spondylitis. Metabolites. 13(10). 1058–1058. 2 indexed citations
11.
Xu, Zhixing, Hui Wang, Jiao Teng, et al.. (2023). Brain Pathology in COVID-19: Clinical Manifestations and Potential Mechanisms. Neuroscience Bulletin. 40(3). 383–400. 5 indexed citations
12.
Huang, Lin, Qi Zhou, Ye Ding, et al.. (2023). The reporting checklist for Chinese patent medicine guidelines: RIGHT for CPM. Pharmacological Research. 199. 107015–107015. 3 indexed citations
13.
Qian, Yu, Zhixing He, Sizheng Steven Zhao, et al.. (2022). Genetically Determined Circulating Levels of Cytokines and the Risk of Rheumatoid Arthritis. Frontiers in Genetics. 13. 802464–802464. 10 indexed citations
14.
Zhou, Mingqian, Chuanlin Ding, Justin T. Kos, et al.. (2021). Integrin CD11b Negatively Regulates B Cell Receptor Signaling to Shape Humoral Response during Immunization and Autoimmunity. The Journal of Immunology. 207(7). 1785–1797. 3 indexed citations
15.
Chen, Rongrong, et al.. (2021). Chinese traditional medicine (GuiZhi-ShaoYao-ZhiMu decoction) as an add-on medication to methotrexate for rheumatoid arthritis: a meta-analysis of randomized clinical trials. Therapeutic Advances in Chronic Disease. 12. 1755285214–1755285214. 16 indexed citations
16.
Zhao, Huawei, et al.. (2020). Risk of epilepsy in rheumatoid arthritis: a meta-analysis of population based studies and bioinformatics analysis. Therapeutic Advances in Chronic Disease. 11. 1753191076–1753191076. 6 indexed citations
17.
Li, Shan, Jia Zhou, Jie Yu, et al.. (2019). Limited preventive effect of prednisone on neuropsychiatric symptoms in murine systemic lupus erythematosus. Inflammopharmacology. 27(3). 511–520. 8 indexed citations
18.
Zhou, Jia, Shan Li, Zhijun Xie, et al.. (2019). Analysis of brain metabolites by gas chromatography–mass spectrometry reveals the risk–benefit concerns of prednisone in MRL/lpr lupus mice. Inflammopharmacology. 28(2). 425–435. 2 indexed citations
20.
Huang, Lin, Jie Yu, Huawei Zhao, et al.. (2017). Treatment of rheumatoid arthritis with combination of methotrexate and Tripterygium wilfordii: A meta-analysis. Life Sciences. 171. 45–50. 45 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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