Meiling Wu

3.5k total citations · 2 hit papers
51 papers, 2.9k citations indexed

About

Meiling Wu is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Meiling Wu has authored 51 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Physiology. Recurrent topics in Meiling Wu's work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Mitochondrial Function and Pathology (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). Meiling Wu is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Mitochondrial Function and Pathology (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). Meiling Wu collaborates with scholars based in China, United States and Hong Kong. Meiling Wu's co-authors include Oliver H. Lowry, Nira R. Roberts, A. Farr, Elizabeth J. Crawford, Catherine A. Smith, R. Wayne Albers, Jiangang Shen, Yih‐Lin Chung, Feng Zhu and Jingyin Dong and has published in prestigious journals such as Journal of Biological Chemistry, Biomaterials and The FASEB Journal.

In The Last Decade

Meiling Wu

47 papers receiving 2.7k citations

Hit Papers

THE QUANTITATIVE HISTOCHEMISTRY OF BRAIN 1954 2026 1978 2002 1954 1954 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meiling Wu China 20 1.3k 311 234 225 222 51 2.9k
Xin Liu China 33 2.1k 1.6× 429 1.4× 194 0.8× 202 0.9× 98 0.4× 178 3.9k
Eunjoo H. Lee South Korea 37 1.7k 1.3× 394 1.3× 125 0.5× 257 1.1× 105 0.5× 144 4.3k
Dong Hee Na South Korea 36 1.4k 1.1× 184 0.6× 360 1.5× 148 0.7× 306 1.4× 130 3.6k
Xiaohui Bai China 39 1.9k 1.4× 186 0.6× 266 1.1× 115 0.5× 123 0.6× 192 4.4k
Qi Xiang China 33 1.3k 1.0× 278 0.9× 226 1.0× 298 1.3× 334 1.5× 131 3.6k
Tianyi Liu China 26 1.7k 1.3× 250 0.8× 332 1.4× 142 0.6× 91 0.4× 119 3.7k
Iekhsan Othman Malaysia 34 1.7k 1.3× 364 1.2× 126 0.5× 400 1.8× 93 0.4× 135 4.1k
Wenjing Li China 32 1.7k 1.3× 250 0.8× 230 1.0× 115 0.5× 216 1.0× 206 3.9k
Lei Gao China 31 1.2k 0.9× 293 0.9× 128 0.5× 138 0.6× 102 0.5× 128 2.8k

Countries citing papers authored by Meiling Wu

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiling Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Meiling Wu. A scholar is included among the top collaborators of Meiling 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 Meiling Wu. Meiling 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.
2.
Yu, Sulan, Meiling Wu, Philip H. Li, et al.. (2025). Calycosin synergizes with methotrexate in the treatment of Sjögren’s disease by targeting BATF in T follicular helper cells. Acta Pharmacologica Sinica. 46(7). 1990–2005.
3.
Yang, Yuqin, Jingyi Jiao, Lei Li, et al.. (2025). Natural small molecule smart hydrogels inhibited the Hsp90/NF‐κB signaling axis in inflammation to achieve sustained antipyretic effect. Journal of Nanobiotechnology. 23(1). 478–478.
4.
Wu, Meiling, Qingfei Zhang, Luoran Shang, & Ping Duan. (2024). Microfluidics-derived hierarchical microparticles for the delivery of dienogest for localized endometriosis therapy. Acta Biomaterialia. 178. 257–264. 5 indexed citations
5.
Du, Qiaohui, Chong Gao, Bun Tsoi, Meiling Wu, & Jiangang Shen. (2024). Niuhuang Qingxin Wan ameliorates depressive-like behaviors and improves hippocampal neurogenesis through modulating TrkB/ERK/CREB signaling pathway in chronic restraint stress or corticosterone challenge mice. Frontiers in Pharmacology. 14. 1274343–1274343. 4 indexed citations
6.
Wu, Meiling, et al.. (2023). Visualizing the global trends of peptides in wound healing through an in‐depth bibliometric analysis. International Wound Journal. 21(4). e14575–e14575. 4 indexed citations
7.
Du, Qiaohui, Ronghui Liang, Meiling Wu, et al.. (2023). Alisol B 23-acetate broadly inhibits coronavirus through blocking virus entry and suppresses proinflammatory T cells responses for the treatment of COVID-19. Journal of Advanced Research. 62. 273–290. 4 indexed citations
9.
Wu, Meiling, Xueqin Yang, Xue Li, Wei Duan, & Junrong Du. (2021). Age-related cognitive decline is associated with microbiota-gut-brain axis disorders and neuroinflammation in mice. Behavioural Brain Research. 402. 113125–113125. 58 indexed citations
10.
Su, Guanghua, Shanshan Wu, Meiling Wu, et al.. (2021). Melatonin improves the quality of frozen bull semen and influences gene expression related to embryo genome activation. Theriogenology. 176. 54–62. 16 indexed citations
11.
Yu, Sulan, Meiling Wu, Yun Feng, et al.. (2021). Detection of T Follicular Helper Cells and T Follicular Regulatory Cells in Experimental Sjögren’s Syndrome. Methods in molecular biology. 2380. 211–224. 2 indexed citations
12.
13.
Zhang, Yifan, Yacong He, Meiling Wu, et al.. (2020). Rehmapicroside ameliorates cerebral ischemia-reperfusion injury via attenuating peroxynitrite-mediated mitophagy activation. Free Radical Biology and Medicine. 160. 526–539. 60 indexed citations
14.
Zhou, Ping, et al.. (2018). Sequence Analysis of the Carotenoid Isomerase Gene in Potato (Solanum tuberosum). IOP Conference Series Materials Science and Engineering. 394. 22032–22032. 1 indexed citations
15.
Chen, Linglin, Meiling Wu, Feng Zhu, et al.. (2016). Neural Progenitor Cells Rptor Ablation Impairs Development but Benefits to Seizure‐Induced Behavioral Abnormalities. CNS Neuroscience & Therapeutics. 22(12). 1000–1008. 9 indexed citations
16.
Wu, Meiling, Yanjie Huang, Dongyang Zhang, et al.. (2016). Glutaredoxins concomitant with optimal ROS activate AMPK through S-glutathionylation to improve glucose metabolism in type 2 diabetes. Free Radical Biology and Medicine. 101. 334–347. 45 indexed citations
17.
Wu, Meiling, Dongsheng Xu, Wanzhu Bai, et al.. (2015). Local cutaneous nerve terminal and mast cell responses to manual acupuncture in acupoint LI4 area of the rats. Journal of Chemical Neuroanatomy. 68. 14–21. 58 indexed citations
18.
Chen, Jie, Lingqing Hu, Meiling Wu, et al.. (2012). Kinetics of IgG antibody to cytomegalovirus (CMV) after birth and seroprevalence of anti-CMV IgG in Chinese children. Virology Journal. 9(1). 304–304. 35 indexed citations
19.
Wu, Meiling, Mei Han, Jing Li, et al.. (2009). 17β-estradiol inhibits angiotensin II-induced cardiac myofibroblast differentiation. European Journal of Pharmacology. 616(1-3). 155–159. 31 indexed citations
20.
Wang, Yongmei, Chunyang Liu, Yulong Hu, et al.. (2009). MyD88-dependent nuclear factor-κB activation is involved in fibrinogen-induced hypertrophic response of cardiomyocytes. Journal of Hypertension. 27(5). 1084–1093. 34 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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