Ming Wu

2.1k total citations · 1 hit paper
44 papers, 1.5k citations indexed

About

Ming Wu is a scholar working on Molecular Biology, Nephrology and Genetics. According to data from OpenAlex, Ming Wu has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 15 papers in Nephrology and 11 papers in Genetics. Recurrent topics in Ming Wu's work include Genetic and Kidney Cyst Diseases (10 papers), Chronic Kidney Disease and Diabetes (9 papers) and Renal and related cancers (8 papers). Ming Wu is often cited by papers focused on Genetic and Kidney Cyst Diseases (10 papers), Chronic Kidney Disease and Diabetes (9 papers) and Renal and related cancers (8 papers). Ming Wu collaborates with scholars based in China, Switzerland and South Korea. Ming Wu's co-authors include Rudolf P. Wüthrich, Changlin Mei, Lili Fu, Qing Yao, Dongping Chen, Jie Zhou, Chaoyang Ye, Bing Dai, Yiyi Ma and Lijun Sun and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and The FASEB Journal.

In The Last Decade

Ming Wu

42 papers receiving 1.5k citations

Hit Papers

Treatment of Persistent Gross Hematuria with Tranexamic A... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Wu China 19 584 446 247 222 215 44 1.5k
Qing Yao China 18 771 1.3× 315 0.7× 216 0.9× 66 0.3× 215 1.0× 39 1.7k
Hanne Scholz Norway 24 550 0.9× 272 0.6× 627 2.5× 40 0.2× 53 0.2× 90 1.6k
Carmen Herencia Spain 20 557 1.0× 160 0.4× 268 1.1× 592 2.7× 19 0.1× 37 1.9k
Martin Rodriguez‐Porcel United States 36 785 1.3× 163 0.4× 838 3.4× 350 1.6× 132 0.6× 94 3.4k
Peter Nawroth Germany 15 457 0.8× 327 0.7× 155 0.6× 119 0.5× 15 0.1× 32 1.3k
Mehmet M. Altintas United States 20 982 1.7× 262 0.6× 184 0.7× 1.5k 6.7× 26 0.1× 45 2.7k
Noriyuki Sakata Japan 27 252 0.4× 86 0.2× 370 1.5× 158 0.7× 97 0.5× 111 2.0k
Jacob van den Born Netherlands 36 888 1.5× 277 0.6× 553 2.2× 1.1k 5.0× 26 0.1× 119 3.3k
Atsushi Izawa Japan 24 1.1k 1.8× 95 0.2× 761 3.1× 129 0.6× 30 0.1× 104 2.8k
Kateřina Kaňková Czechia 21 312 0.5× 102 0.2× 99 0.4× 127 0.6× 18 0.1× 78 1.2k

Countries citing papers authored by Ming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Wu. A scholar is included among the top collaborators of Ming 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 Ming Wu. Ming 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
2.
Wu, Ming, Yuzhen Zhao, Xijun Zhang, et al.. (2025). Neutrophil Hitchhiking‐Mediated Delivery of ROS‐Scavenging Biomimetic Nanoparticles for Enhanced Treatment of Atherosclerosis. Small Methods. 9(7). e2402019–e2402019. 5 indexed citations
3.
Wen, Hui‐Ju, Junyan Lin, Xinying Liu, et al.. (2024). Tanshinone I improves renal fibrosis by promoting gluconeogenesis through upregulation of peroxisome proliferator-activated receptor-γ coactivator 1α. Renal Failure. 46(2). 2433710–2433710. 1 indexed citations
4.
Sun, Yupeng, Yan Liu, Rui Li, et al.. (2024). Multifunctional Biomimetic Nanocarriers for Dual‐Targeted Immuno‐Gene Therapy Against Hepatocellular Carcinoma. Advanced Science. 11(34). e2400951–e2400951. 16 indexed citations
5.
Wu, Ming, et al.. (2024). Multi-omics Integrated Analysis of the Protective Effect of EZH2 inhibition in Mice with Renal Ischemia-Reperfusion Injury. Kidney & Blood Pressure Research. 49(1). 196–207. 1 indexed citations
6.
Huang, Di, et al.. (2024). Salvianolic acid C promotes renal gluconeogenesis in fibrotic kidneys through PGC1α. Biochemical and Biophysical Research Communications. 744. 151174–151174. 1 indexed citations
7.
Wu, Ming, Junyan Lin, Di Huang, Chaoyang Ye, & Dong‐Ping Chen. (2023). Salvianolic Acid C Inhibits the Epithelial-Mesenchymal Transition and Ameliorates Renal Tubulointerstitial Fibrosis. Frontiers in Bioscience-Landmark. 28(6). 121–121. 7 indexed citations
8.
Yao, Hang, Feifei Wang, Hui Chong, et al.. (2023). A Curcumin‐Modified Coordination Polymers with ROS Scavenging and Macrophage Phenotype Regulating Properties for Efficient Ulcerative Colitis Treatment. Advanced Science. 10(19). e2300601–e2300601. 77 indexed citations
9.
Wang, Yanzhe, et al.. (2023). SDMA attenuates renal tubulointerstitial fibrosis through inhibition of STAT4. Journal of Translational Medicine. 21(1). 326–326. 3 indexed citations
10.
Li, Bojun, Yuqi Xia, Shuqin Mei, et al.. (2023). Histone H3K27 methyltransferase EZH2 regulates apoptotic and inflammatory responses in sepsis-induced AKI. Theranostics. 13(6). 1860–1875. 57 indexed citations
11.
Wang, Yanzhe, Ming Wu, Feng Yang, et al.. (2022). Protein arginine methyltransferase 3 inhibits renal tubulointerstitial fibrosis through asymmetric dimethylarginine. Frontiers in Medicine. 9. 995917–995917. 4 indexed citations
12.
Wang, Ling, Xiang Gao, Xiaojing Tang, et al.. (2022). SENP1 protects cisplatin-induced AKI by attenuating apoptosis through regulation of HIF-1α. Experimental Cell Research. 419(1). 113281–113281. 8 indexed citations
13.
Wu, Ming, et al.. (2021). Remdesivir Inhibits Tubulointerstitial Fibrosis in Obstructed Kidneys. Journal of the American Society of Nephrology. 32(10S). 749–749. 2 indexed citations
14.
Xu, Lin, Bo Tan, Di Huang, et al.. (2021). Remdesivir Inhibits Tubulointerstitial Fibrosis in Obstructed Kidneys. Frontiers in Pharmacology. 12. 626510–626510. 16 indexed citations
15.
Xu, Lin, Jiandong Gao, Di Huang, et al.. (2020). Emodin ameliorates tubulointerstitial fibrosis in obstructed kidneys by inhibiting EZH2. Biochemical and Biophysical Research Communications. 534. 279–285. 26 indexed citations
16.
Liu, Zhiheng, Xinyi Cao, Yi Lu, et al.. (2019). Activation of P-TEFb by cAMP-PKA signaling in autosomal dominant polycystic kidney disease. Science Advances. 5(6). eaaw3593–eaaw3593. 34 indexed citations
17.
Tian, Hongyan, et al.. (2018). The long non-coding RNA MALAT1 is increased in renal ischemia-reperfusion injury and inhibits hypoxia-induced inflammation. Renal Failure. 40(1). 527–533. 50 indexed citations
18.
Wu, Ming, Shuqin Mei, Ying Jing, et al.. (2016). Resveratrol delays polycystic kidney disease progression through attenuation of nuclear factor κB-induced inflammation. Nephrology Dialysis Transplantation. 31(11). 1826–1834. 50 indexed citations
19.
Wu, Ming, Ying Jing, Shuqin Mei, et al.. (2016). The C-terminal tail of polycystin-1 regulates complement factor B expression by signal transducer and activator of transcription 1. American Journal of Physiology-Renal Physiology. 310(11). F1284–F1294. 17 indexed citations
20.
Wu, Ming, Alexandre Arcaro, Zsuzsanna Varga, et al.. (2009). Pulse mTOR inhibitor treatment effectively controls cyst growth but leads to severe parenchymal and glomerular hypertrophy in rat polycystic kidney disease. American Journal of Physiology-Renal Physiology. 297(6). F1597–F1605. 29 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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