Mian Wu

525 total citations
26 papers, 402 citations indexed

About

Mian Wu is a scholar working on Nephrology, Molecular Biology and Surgery. According to data from OpenAlex, Mian Wu has authored 26 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Nephrology, 10 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Mian Wu's work include Gout, Hyperuricemia, Uric Acid (9 papers), Chronic Kidney Disease and Diabetes (6 papers) and Renal Diseases and Glomerulopathies (4 papers). Mian Wu is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (9 papers), Chronic Kidney Disease and Diabetes (6 papers) and Renal Diseases and Glomerulopathies (4 papers). Mian Wu collaborates with scholars based in China and United States. Mian Wu's co-authors include Haibing Chen, Junxi Lu, Kaifeng Guo, Mingliang Zhang, Weiping Jia, Yuqian Bao, Shen Qu, Haoyong Yu, Yan Huang and Lei Zhang and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Mian Wu

24 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mian Wu China 11 198 162 68 68 54 26 402
Macarena Orejudo Spain 13 143 0.7× 190 1.2× 80 1.2× 48 0.7× 73 1.4× 25 600
Yanlin Yu China 11 242 1.2× 187 1.2× 45 0.7× 57 0.8× 60 1.1× 15 550
Pei‐Hsien Lee Taiwan 11 218 1.1× 203 1.3× 75 1.1× 58 0.9× 95 1.8× 14 505
Chen‐Chou Lei Taiwan 10 253 1.3× 198 1.2× 101 1.5× 70 1.0× 89 1.6× 13 504
De Xie China 12 169 0.9× 186 1.1× 76 1.1× 111 1.6× 47 0.9× 27 452
Changyong Zhou China 11 90 0.5× 243 1.5× 58 0.9× 60 0.9× 39 0.7× 16 482
Mercedes Muros‐de‐Fuentes Spain 7 246 1.2× 122 0.8× 72 1.1× 37 0.5× 54 1.0× 10 439
Carolina Hernández-Carballo Spain 9 185 0.9× 97 0.6× 35 0.5× 30 0.4× 76 1.4× 17 415
Yaqiu Hu China 6 230 1.2× 179 1.1× 114 1.7× 135 2.0× 40 0.7× 7 423
Kenichi Koga Japan 9 143 0.7× 210 1.3× 33 0.5× 41 0.6× 68 1.3× 22 477

Countries citing papers authored by Mian Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mian Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mian Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Mian Wu. A scholar is included among the top collaborators of Mian 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 Mian Wu. Mian 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.
Shen, Gang, Mian Wu, Jing Zhang, et al.. (2025). Elevated uric acid induces erectile dysfunction in rats by interacting with MLCK and inhibiting its ubiquitin-mediated degradation. Communications Biology. 8(1). 1190–1190.
2.
Zhao, Yun, et al.. (2025). The positive correlation between amphiregulin and insulin resistance. Endocrine Connections. 14(4). 1 indexed citations
3.
4.
Wu, Mian, Yining Gao, Xiaojing Lin, et al.. (2023). Purine Metabolic Pathway Alterations and Serum Urate Changes after Oral Inosine Loading in Male Chinese Volunteers. Molecular Nutrition & Food Research. 68(2). e2300115–e2300115. 1 indexed citations
5.
Liu, Chenxiao, et al.. (2023). High-Glucose-Induced Injury to Proximal Tubules of the Renal System Is Alleviated by Netrin-1 Suppression of Akt/mTOR. Journal of Diabetes Research. 2023. 1–10. 2 indexed citations
6.
Wu, Mian, et al.. (2023). Uric acid is independently associated with interleukin‐1β levels in tear fluid of hyperuricemia and gout patients. Immunity Inflammation and Disease. 11(3). e805–e805. 13 indexed citations
7.
Guo, Kaifeng, et al.. (2022). Prevalence and Risk Factors for Peripheral Neuropathy in Chinese Patients With Gout. Frontiers in Neurology. 13. 789631–789631. 1 indexed citations
8.
Wu, Mian, Lu Li, Kaifeng Guo, Junxi Lu, & Haibing Chen. (2022). Vitamin D protects against high glucose-induced pancreatic β-cell dysfunction via AMPK-NLRP3 inflammasome pathway. Molecular and Cellular Endocrinology. 547. 111596–111596. 31 indexed citations
9.
Wu, Mian, et al.. (2021). Thyroid Hormone-Regulated Expression of Period2 Promotes Liver Urate Production. Frontiers in Cell and Developmental Biology. 9. 636802–636802. 7 indexed citations
10.
Li, Lu, et al.. (2021). Elevated NLRP3 Inflammasome Levels Correlate With Vitamin D in the Vitreous of Proliferative Diabetic Retinopathy. Frontiers in Medicine. 8. 736316–736316. 10 indexed citations
11.
Wu, Mian, et al.. (2021). Hyperuricemia causes kidney damage by promoting autophagy and NLRP3-mediated inflammation in rats with urate oxidase deficiency. Disease Models & Mechanisms. 14(3). 78 indexed citations
12.
Zhao, Yun, Min Feng, Rong Xiang, et al.. (2020). JAB1 promotes palmitate-induced insulin resistance via ERK pathway in hepatocytes. Journal of Physiology and Biochemistry. 76(4). 655–662. 5 indexed citations
13.
Guo, Kaifeng, et al.. (2020). Hyposialylated angiopoietin-like-4 induces apoptosis of podocytes via β1 Integrin/FAK signaling in diabetic nephropathy. Molecular and Cellular Endocrinology. 505. 110730–110730. 13 indexed citations
14.
Zhang, Qiuhua, Mian Wu, Zhigang Hu, et al.. (2020). Serum Antibody and Glomerular Antigen of Antiphospholipase A2 Receptor in Chinese Patients with Idiopathic Membranous Nephropathy. BioMed Research International. 2020(1). 1693710–1693710. 5 indexed citations
15.
Wu, Mian, Mingliang Zhang, Fengjing Liu, et al.. (2019). Chaetocin attenuates gout in mice through inhibiting HIF-1α and NLRP3 inflammasome-dependent IL-1β secretion in macrophages. Archives of Biochemistry and Biophysics. 670. 94–103. 37 indexed citations
16.
Zhang, Qiuhua, Biao Huang, Xiaobin Liu, et al.. (2017). Ultrasensitive Quantitation of Anti-Phospholipase A2 Receptor Antibody as A Diagnostic and Prognostic Indicator of Idiopathic Membranous Nephropathy. Scientific Reports. 7(1). 12049–12049. 23 indexed citations
17.
Wu, Mian, Xiayun He, & Chaosu Hu. (2016). Long-Term Results of a Phase 2 Study of Gemcitabine and Cisplatin Chemotherapy Combined With Intensity Modulated Radiation Therapy in Locoregionally Advanced Nasopharyngeal Carcinoma. International Journal of Radiation Oncology*Biology*Physics. 96(2). S85–S86. 1 indexed citations
18.
Guo, Kaifeng, Lei Zhang, Junxi Lu, et al.. (2016). Non-alcoholic fatty liver disease is associated with late but not early atherosclerotic lesions in Chinese inpatients with type 2 diabetes. Journal of Diabetes and its Complications. 31(1). 80–85. 25 indexed citations
19.
Guo, Kaifeng, Junxi Lu, Yan Huang, et al.. (2015). Protective Role of PGC-1α in Diabetic Nephropathy Is Associated with the Inhibition of ROS through Mitochondrial Dynamic Remodeling. PLoS ONE. 10(4). e0125176–e0125176. 85 indexed citations
20.

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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