Dehong Wu

820 total citations
27 papers, 529 citations indexed

About

Dehong Wu is a scholar working on Molecular Biology, Immunology and Rheumatology. According to data from OpenAlex, Dehong Wu has authored 27 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Immunology and 6 papers in Rheumatology. Recurrent topics in Dehong Wu's work include Systemic Lupus Erythematosus Research (5 papers), Immune Cell Function and Interaction (3 papers) and Pharmacological Effects of Natural Compounds (3 papers). Dehong Wu is often cited by papers focused on Systemic Lupus Erythematosus Research (5 papers), Immune Cell Function and Interaction (3 papers) and Pharmacological Effects of Natural Compounds (3 papers). Dehong Wu collaborates with scholars based in China, Macao and United States. Dehong Wu's co-authors include Xiang He, Junyi Wang, Anying Xiong, Ran Qin, Guoping Li, Lei Zhang, Christopher Chang, Feng Chen, Jinlyu Sun and Jia Zhou and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Chemical Engineering Journal.

In The Last Decade

Dehong Wu

26 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dehong Wu China 11 178 164 103 95 69 27 529
Gael B. Morrow United Kingdom 10 201 1.1× 75 0.5× 126 1.2× 45 0.5× 95 1.4× 17 509
Rukiye Nar Türkiye 13 126 0.7× 86 0.5× 32 0.3× 47 0.5× 57 0.8× 46 482
Chiara Colarusso Italy 13 67 0.4× 318 1.9× 180 1.7× 176 1.9× 54 0.8× 32 530
Paola Canzano Italy 12 168 0.9× 106 0.6× 44 0.4× 59 0.6× 77 1.1× 21 435
Fengmin Shao China 14 58 0.3× 183 1.1× 65 0.6× 42 0.4× 35 0.5× 36 471
Kaiguang Zhang China 14 87 0.5× 352 2.1× 112 1.1× 71 0.7× 34 0.5× 70 680
Julie Bellière France 16 76 0.4× 228 1.4× 128 1.2× 110 1.2× 15 0.2× 47 782
Wenqing Sun China 12 81 0.5× 235 1.4× 221 2.1× 74 0.8× 40 0.6× 32 566
Adnan Khosravi Iran 11 41 0.2× 120 0.7× 99 1.0× 98 1.0× 11 0.2× 51 454
Jerzy Sieńko Poland 14 55 0.3× 98 0.6× 134 1.3× 42 0.4× 18 0.3× 73 653

Countries citing papers authored by Dehong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dehong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dehong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Dehong Wu. A scholar is included among the top collaborators of Dehong Wu 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 Dehong Wu. Dehong Wu 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.
Wu, Dehong, et al.. (2025). Hypomethylation of GCNT2 isoform A correlates with transcriptional expression and is associated with poor survival in acute myeloid leukemia. Frontiers in Immunology. 16. 1490330–1490330. 2 indexed citations
2.
Wu, Dehong, Zijun Y. Xu‐Monette, Jia Zhou, et al.. (2025). CAR T-cell therapy in autoimmune diseases: a promising frontier on the horizon. Frontiers in Immunology. 16. 1613878–1613878. 1 indexed citations
3.
Wu, Dehong, et al.. (2025). Disruption of Gut Microbiota and Associated Fecal Metabolites in Collagen-Induced Arthritis Mice During the Early Stage. Journal of Inflammation Research. Volume 18. 1703–1717. 3 indexed citations
4.
Wu, Dehong, Yuanwen Zou, Xiaoming Wang, et al.. (2025). PDA-Au-nanocluster-loaded polyacrylamide alginate hydrogels for dural repair and functional recovery. Chemical Engineering Journal. 517. 164274–164274.
5.
6.
Wu, Dehong, et al.. (2023). Characteristics of steroid hormones in systemic lupus erythematosus revealed by GC/MS-based metabolic profiling. Frontiers in Endocrinology. 14. 1164679–1164679. 4 indexed citations
7.
Wang, Junyi, Anying Xiong, Lei Zhang, et al.. (2022). Integrated analysis of single-cell and bulk RNA sequencing reveals pro-fibrotic PLA2G7high macrophages in pulmonary fibrosis. Pharmacological Research. 182. 106286–106286. 30 indexed citations
8.
Wang, Junyi, Lei Zhang, Li Luo, et al.. (2022). Characterizing cellular heterogeneity in fibrotic hypersensitivity pneumonitis by single-cell transcriptional analysis. Cell Death Discovery. 8(1). 38–38. 29 indexed citations
9.
He, Xiang, Lei Zhang, Anying Xiong, et al.. (2021). PM2.5 aggravates NQO1-induced mucus hyper-secretion through release of neutrophil extracellular traps in an asthma model. Ecotoxicology and Environmental Safety. 218. 112272–112272. 41 indexed citations
10.
Su, Xiaoyu, et al.. (2020). <p><em>Circ_0002232</em> Acts as a Potential Biomarker for AML and Reveals a Potential ceRNA Network of <em>Circ_0002232</em>/<em>miR-92a-3p</em>/<em>PTEN</em></p>. Cancer Management and Research. Volume 12. 11871–11881. 10 indexed citations
11.
Li, Qianqian, et al.. (2020). Metabolic Profiling Reveals an Abnormal Pattern of Serum Fatty Acids in MRL/lpr Mice Under Treatment With Prednisone. Frontiers in Pharmacology. 11. 115–115. 7 indexed citations
12.
Li, Guoping, Xiang He, Lei Zhang, et al.. (2020). Assessing ACE2 expression patterns in lung tissues in the pathogenesis of COVID-19. Journal of Autoimmunity. 112. 102463–102463. 214 indexed citations
13.
Li, Guoping, Junyi Wang, Xiang He, et al.. (2020). An Integrative Analysis Identifying Transcriptional Features and key Genes Involved in COVID-19. Epigenomics. 12(22). 1969–1981. 10 indexed citations
14.
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
15.
Liang, Xiaobo, Xiang He, Yin Li, et al.. (2019). Lyn regulates epithelial–mesenchymal transition in CS-exposed model through Smad2/3 signaling. Respiratory Research. 20(1). 201–201. 18 indexed citations
16.
Jiang, Fusheng, et al.. (2018). HSP90: A Novel Target Gene of miRNA-628-3p in A549 Cells. BioMed Research International. 2018. 1–10. 15 indexed citations
17.
Ping, Nana, Yiting Song, Yihan Xu, et al.. (2016). Exome sequencing identifies highly recurrent somatic GATA2 and CEBPA mutations in acute erythroid leukemia. Leukemia. 31(1). 195–202. 31 indexed citations
18.
Wu, Dehong, Yongsheng Fan, Guanqun Xie, Jinjun Ji, & Li Xu. (2015). [Effect of jiedu quyu zishen recipe on TLR9 signal pathway of murine macrophage cells].. PubMed. 35(4). 466–70. 1 indexed citations
19.
Xu, Li, Yan Xu, Dandan Dou, et al.. (2015). The STAT3 HIES mutation is a gain-of-function mutation that activates genes via AGG-element carrying promoters. Nucleic Acids Research. 43(18). 8898–8912. 10 indexed citations
20.
Zhang, Luying, Wotu Tian, Liping Jiang, et al.. (2013). Clinical Features, STAT3 Gene Mutations and Th17 Cell Analysis in Nine Children with Hyper‐IgE Syndrome in Mainland China. Scandinavian Journal of Immunology. 78(3). 258–265. 21 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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