Anguo Wu

7.9k total citations · 2 hit papers
147 papers, 4.1k citations indexed

About

Anguo Wu is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Anguo Wu has authored 147 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 36 papers in Epidemiology and 31 papers in Physiology. Recurrent topics in Anguo Wu's work include Autophagy in Disease and Therapy (35 papers), Alzheimer's disease research and treatments (23 papers) and Genetics, Aging, and Longevity in Model Organisms (10 papers). Anguo Wu is often cited by papers focused on Autophagy in Disease and Therapy (35 papers), Alzheimer's disease research and treatments (23 papers) and Genetics, Aging, and Longevity in Model Organisms (10 papers). Anguo Wu collaborates with scholars based in China, Macao and United States. Anguo Wu's co-authors include Jianming Wu, Betty Yuen Kwan Law, Dalian Qin, Vincent Kam Wai Wong, Yong Tang, Xiaogang Zhou, Lu Yu, Renato Baserga, Chong‐Lin Yu and Wenqiao Qiu and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Anguo Wu

141 papers receiving 4.0k citations

Hit Papers

Polyphyllin VI Induces Caspase-1-Mediated Pyroptosis via ... 2020 2026 2022 2024 2020 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anguo Wu China 37 2.1k 639 514 432 346 147 4.1k
Betty Yuen Kwan Law Macao 38 2.3k 1.1× 909 1.4× 495 1.0× 376 0.9× 311 0.9× 130 4.2k
Xiaobo Sun China 42 3.1k 1.4× 681 1.1× 499 1.0× 497 1.2× 696 2.0× 178 5.5k
Lianhong Yin China 46 2.7k 1.3× 858 1.3× 314 0.6× 270 0.6× 367 1.1× 118 5.3k
Junping Kou China 40 2.9k 1.3× 634 1.0× 493 1.0× 444 1.0× 651 1.9× 175 5.2k
Rajarajan A. Thandavarayan United States 38 1.7k 0.8× 367 0.6× 482 0.9× 287 0.7× 241 0.7× 136 4.2k
Guang Liang China 40 2.3k 1.1× 621 1.0× 412 0.8× 420 1.0× 206 0.6× 129 4.7k
Zhiqiang Ma China 45 2.7k 1.3× 631 1.0× 533 1.0× 252 0.6× 203 0.6× 113 5.1k
Wonchae Choe South Korea 36 2.2k 1.0× 379 0.6× 471 0.9× 225 0.5× 205 0.6× 89 3.6k
Sung‐Hoon Kim South Korea 38 2.3k 1.1× 368 0.6× 302 0.6× 411 1.0× 393 1.1× 157 4.3k
Long Chen China 34 1.7k 0.8× 483 0.8× 356 0.7× 259 0.6× 214 0.6× 127 3.9k

Countries citing papers authored by Anguo Wu

Since Specialization
Citations

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

Fields of papers citing papers by Anguo Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anguo Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Anguo Wu. A scholar is included among the top collaborators of Anguo 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 Anguo Wu. Anguo 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.
Li, Xiaoqian, Lu Yu, Jianming Wu, et al.. (2025). NAD+ supplementation augments the efficacy of the PARP1 inhibitor PJ34 in a 6-OHDA-induced model of Parkinson’s disease. Genes & Diseases. 13(2). 101783–101783.
2.
Li, Xiang, Xue‐Qun Luo, Wenjun Wang, et al.. (2025). Sirtuins in Parkinson's disease: Molecular mechanisms and pathophysiological roles. Ageing Research Reviews. 112. 102902–102902.
3.
Qin, Dalian, Xiaogang Zhou, Lu Yu, et al.. (2025). Prosapogenin CP4 exacerbates mitophagy to induce apoptosis via AMPK-mTOR and PINK1/Parkin pathways in A549 cells. Phytomedicine. 148. 157333–157333. 1 indexed citations
4.
Guo, Minsong, Xiaogang Zhou, Chong‐Lin Yu, et al.. (2025). Ciliatoside A attenuates neuroinflammation in Alzheimer's disease by activating mitophagy and inhibiting NLRP3 inflammasome activation. Phytomedicine. 145. 156928–156928. 2 indexed citations
5.
Zhu, Yunfei, Haijun Fu, Yaping Li, et al.. (2025). Tricin Delays Aging and Enhances Muscle Function via Activating AMPK-Mediated Autophagy in Diverse Model Organisms. Journal of Agricultural and Food Chemistry. 73(17). 10246–10264. 2 indexed citations
6.
Zeng, Juan, Xinxin Tang, Dalian Qin, et al.. (2025). Engineered GLP-1R-targeting nanoplatforms: multimodal therapeutics in human diseases. Journal of Nanobiotechnology. 23(1). 682–682. 1 indexed citations
7.
Wei, Jing, et al.. (2024). Targeting inflammation and gut microbiota with antibacterial therapy: Implications for central nervous system health. Ageing Research Reviews. 102. 102544–102544. 5 indexed citations
8.
Fan, Dongsheng, Minsong Guo, Lu Yu, et al.. (2024). Penthorum chinense Pursh inhibits ferroptosis in cellular and Caenorhabditis elegans models of Alzheimerʼs disease. Phytomedicine. 127. 155463–155463. 13 indexed citations
9.
10.
Tang, Yong, et al.. (2023). Next-generation nanomaterials: advancing ocular anti-inflammatory drug therapy. Journal of Nanobiotechnology. 21(1). 282–282. 51 indexed citations
11.
12.
Chi, Feng, Lan Deng, Jianming Wu, et al.. (2023). The Application of Biomaterials in Spinal Cord Injury. International Journal of Molecular Sciences. 24(1). 816–816. 28 indexed citations
13.
Fu, Haijun, Yaping Li, Dalian Qin, et al.. (2023). The Protective Effects of Reineckia carnea Ether Fraction against Alzheimer’s Disease Pathology: An Exploration in Caenorhabditis elegans Models. International Journal of Molecular Sciences. 24(22). 16536–16536. 5 indexed citations
14.
Qin, Dalian, Xiaohui Su, Lu Yu, et al.. (2023). Carpesii fructus extract exhibits neuroprotective effects in cellular and Caenorhabditis elegans models of Parkinson's disease. CNS Neuroscience & Therapeutics. 30(4). e14515–e14515. 10 indexed citations
15.
16.
Wu, Anguo, Jianming Wu, Yong Tang, et al.. (2022). Targeting Nrf2‐Mediated Oxidative Stress Response in Traumatic Brain Injury: Therapeutic Perspectives of Phytochemicals. Oxidative Medicine and Cellular Longevity. 2022(1). 1015791–1015791. 58 indexed citations
17.
Tang, Yong, Changlong He, Lu Yu, et al.. (2022). Ferulic Acid Exerts Neuroprotective Effects via Autophagy Induction in C. elegans and Cellular Models of Parkinson’s Disease. Oxidative Medicine and Cellular Longevity. 2022(1). 3723567–3723567. 43 indexed citations
18.
Wang, Yiling, et al.. (2022). Screening of the ubiquitin-proteasome system activators for anti-Alzheimer's disease by the high-content fluorescence imaging system. Chinese Journal of Natural Medicines. 20(1). 33–42. 7 indexed citations
19.
Su, Xiaohui, Xueying Tao, Xia Mao, et al.. (2022). Anti-angiogenic effect of YuXueBi tablet in experimental rheumatoid arthritis by suppressing LOX/Ras/Raf-1 signaling. Journal of Ethnopharmacology. 298. 115611–115611. 13 indexed citations
20.
Pan, Chao, et al.. (2020). Electrochemical-Promoted Synthesis of 2-Thiazolines via Selenylation/Cyclization of N-Allylthioamides. Chinese Journal of Organic Chemistry. 40(9). 2855–2855. 17 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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