Jun Ai
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
- Applied Mathematics top 10%
- Geometric Analysis and Curvature Flows
- Point processes and geometric inequalities
Papers in
- Nephrology 19
- Dialysis and Renal Disease Management 11
- Acute Kidney Injury Research 5
- Renal Diseases and Glomerulopathies 4
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- Heart Failure Treatment and Management 5
- Co-authors
- C.T. Sun (1 shared paper)Kai-Seng Chou (1 shared paper)Juncheng Wei (1 shared paper)Baoen Shan (3 shared papers)Qiaoxia Li (2 shared papers)Ming Zhou (1 shared paper)Cong Liu (1 shared paper)Dunlu Peng (1 shared paper)
- Journals
- BMC Nephrology (2 papers)Biomarkers (1 paper)JAMA Network Open (1 paper)Molecular & Cellular Proteomics (1 paper)Clinical Nephrology (1 paper)
- Partner nations
- ChinaPhilippinesUnited States
In The Last Decade
Jun Ai
45 papers receiving 565 citations
Peers
Comparison fields: 5 of 114
- Nephrology 133
- Applied Mathematics 54
- Mechanics of Materials 74
- Immunology 64
- Hematology 32
Countries citing papers authored by Jun Ai
This map shows the geographic impact of Jun Ai'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 Jun Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ai more than expected).
Fields of papers citing papers by Jun Ai
This network shows the impact of papers produced by Jun Ai. 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 Jun Ai. The network helps show where Jun Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ai, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 71 | |
| 2 | 2013 | 63 | |
| 3 | 2023 | 62 | |
| 4 | 2023 | 53 | |
| 5 | 2001 | 51 | |
| 6 | 2023 | 34 | |
| 7 | 2019 | 28 | |
| 8 | 2022 | 20 | |
| 9 | 2024 | 19 | |
| 10 | 2021 | 15 | |
| 11 | 2019 | 15 | |
| 12 | 2010 | 15 | |
| 13 | 2022 | 12 | |
| 14 | 2015 | 12 | |
| 15 | 2023 | 10 | |
| 16 | 2008 | 9 | |
| 17 | 2010 | 9 | |
| 18 | 2023 | 7 | |
| 19 | 1990 | 7 | |
| 20 | 2021 | 6 |
About Jun Ai
Jun Ai is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Biomedical Engineering and Civil and Structural Engineering, having authored 50 papers that have together received 581 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (11 papers), Heart Failure Treatment and Management (5 papers), Acute Kidney Injury Research (5 papers), Renal Diseases and Glomerulopathies (4 papers), Potassium and Related Disorders (4 papers), Innovative concrete reinforcement materials (4 papers), Structural Behavior of Reinforced Concrete (4 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Nephrology (133 citations), Applied Mathematics (54 citations), Mechanics of Materials (74 citations), Immunology (64 citations) and Hematology (32 citations). Jun Ai has collaborated with scholars based in China, Philippines and United States. Frequent co-authors include C.T. Sun, Kai-Seng Chou, Juncheng Wei, Baoen Shan, Qiaoxia Li, Ming Zhou, Cong Liu, Dunlu Peng, Jingjing Song and Xue Feng. Their work appears in journals such as BMC Nephrology, Biomarkers, JAMA Network Open, Molecular & Cellular Proteomics and Clinical Nephrology.
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.