Changlin Mei
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.2%
- Nephrology top 0.2%
- Genetics top 1%
- Artificial Intelligence top 1%
- Co-authors
- Jinhai LiLili FuXiang GaoWenxiu ZhangLV Yue-jinXiangchen GuYee LeungDegang Chen
- Topics
- Genetic and Kidney Cyst Diseases (74 papers)Renal and related cancers (42 papers)Renal Diseases and Glomerulopathies (33 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Changlin Mei
281 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Molecular Biology 2.4k
- Computational Theory and Mathematics 1.7k
- Nephrology 1.5k
- Genetics 1.4k
- Artificial Intelligence 1.2k
Countries citing papers authored by Changlin Mei
This map shows the geographic impact of Changlin Mei'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 Changlin Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changlin Mei more than expected).
Fields of papers citing papers by Changlin Mei
This network shows the impact of papers produced by Changlin Mei. 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 Changlin Mei. The network helps show where Changlin Mei may publish in the future.
Co-authorship network of co-authors of Changlin Mei
This figure shows the co-authorship network connecting the top 25 collaborators of Changlin Mei. A scholar is included among the top collaborators of Changlin Mei 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 Changlin Mei. Changlin Mei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 35 | |
| 8 | 16 | |
| 9 | 34 | |
| 10 | 185 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | Advances in diagnosis and treatment of acute kidney injury | 0 |
| 15 | Clinical Observe Effect of Atorvastatin Combined with Benazepril Treatment of Early Diabetic Nephropathy | 2 |
| 16 | 18 | |
| 17 | Vascular access investigation in a hemodialysis center in Shanghai | 1 |
| 18 | Clinical study of 100 cases with acute renal failure | 1 |
| 19 | Effect of keratinocyte growth factor on cell cycle and regulatory protein of cyst-lining epithelia in autosomal dominant polycystic kidney disease | 0 |
| 20 | High dose of rhEPO in treatment of uremic anemia | 1 |
About Changlin Mei
Changlin Mei is a scholar working on Nephrology, Genetics and Statistics and Probability, having authored 289 papers that have together received 8.5k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (74 papers), Renal and related cancers (42 papers) and Renal Diseases and Glomerulopathies (33 papers). The work is most often cited by research in Nephrology (1.5k citations), Computational Theory and Mathematics (1.7k citations) and Genetics (1.4k citations). Changlin Mei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jinhai Li, Lili Fu, Xiang Gao, Wenxiu Zhang, LV Yue-jin, Xiangchen Gu, Yee Leung, Degang Chen, Bing Dai and Yuhua Qian. Their work appears in journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.