Ming Wu
Impact in
- Biochemistry top 2%
- Blood transfusion and management
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
Papers in
-
- Renal and related cancers 5
- Epigenetics and DNA Methylation 4
- Hedgehog Signaling Pathway Studies 3
- Cancer-related gene regulation 3
- Genetics 10
- Genetic and Kidney Cyst Diseases 9
- Co-authors
- Rudolf P. Wüthrich (6 shared papers)Changlin Mei (13 shared papers)Lili Fu (4 shared papers)Qing Yao (2 shared papers)Dongping Chen (3 shared papers)Chaoyang Ye (16 shared papers)Xiaohong Hu (1 shared paper)Lijun Sun (1 shared paper)
- Journals
- Kidney & Blood Pressure Research (5 papers)Scientific Reports (3 papers)American Journal of Physiology-Renal Physiology (3 papers)Renal Failure (2 papers)Advanced Science (2 papers)
- Partner nations
- ChinaSwitzerlandSouth Korea
In The Last Decade
Ming Wu
42 papers receiving 1.6k citations
Ming Wu's Hit Papers
Peers
Comparison fields: 5 of 105
- Biochemistry 195
- Nephrology 164
- Genetics 443
- Pathology and Forensic Medicine 147
- Geriatrics and Gerontology 27
Countries citing papers authored by Ming Wu
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
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-authors
The 25 scholars most cited alongside Ming Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Treatment of Persistent Gross Hematuria with Tranexamic Acid in Autosomal Dominant Polycystic Kidney Disease Hit paper breakdown → | 2017 | 599 |
| 2 | 2007 | 104 | |
| 3 | 2023 | 85 | |
| 4 | 2023 | 67 | |
| 5 | 2019 | 63 | |
| 6 | 2016 | 61 | |
| 7 | 2016 | 52 | |
| 8 | 2018 | 51 | |
| 9 | 2016 | 49 | |
| 10 | 2013 | 37 | |
| 11 | 2019 | 37 | |
| 12 | 2009 | 31 | |
| 13 | 2020 | 28 | |
| 14 | 2023 | 27 | |
| 15 | 2019 | 23 | |
| 16 | 2018 | 22 | |
| 17 | 2016 | 20 | |
| 18 | 2015 | 20 | |
| 19 | 2022 | 20 | |
| 20 | 2024 | 18 |
About Ming Wu
Ming Wu is a scholar working on Molecular Biology, Genetics, Nephrology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (9 papers), Chronic Kidney Disease and Diabetes (5 papers), Renal and related cancers (5 papers), Epigenetics and DNA Methylation (4 papers), Nephrotoxicity and Medicinal Plants (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Cancer-related gene regulation (3 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Biochemistry (195 citations), Nephrology (164 citations), Genetics (443 citations), Pathology and Forensic Medicine (147 citations) and Geriatrics and Gerontology (27 citations). Ming Wu has collaborated with scholars based in China, Switzerland and South Korea. Frequent co-authors include Rudolf P. Wüthrich, Changlin Mei, Lili Fu, Qing Yao, Dongping Chen, Chaoyang Ye, Xiaohong Hu, Lijun Sun, Lin Li and Meiyang Zhou. Their work appears in journals such as Kidney & Blood Pressure Research, Scientific Reports, American Journal of Physiology-Renal Physiology, Renal Failure and Advanced Science.
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.