Ai Peng
Impact in
- Nephrology top 1%
- Gout, Hyperuricemia, Uric Acid
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
- Acute Kidney Injury Research
- Dialysis and Renal Disease Management
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
Papers in
- Nephrology 30
- Gout, Hyperuricemia, Uric Acid 15
- Co-authors
- Hui Bao (15 shared papers)Rujun Gong (8 shared papers)Yan Ge (6 shared papers)Yaxiang Song (20 shared papers)Chandra Mohan (17 shared papers)Tianfu Wu (13 shared papers)Ling Qin (10 shared papers)Lance D. Dworkin (3 shared papers)
- Journals
- Life Sciences (4 papers)PLoS ONE (3 papers)Kidney International (3 papers)Renal Failure (2 papers)JCI Insight (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Ai Peng
99 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 140
- Nephrology 513
- Biochemistry 97
- Clinical Biochemistry 76
- Pathology and Forensic Medicine 159
- Molecular Biology 557
Countries citing papers authored by Ai Peng
This map shows the geographic impact of Ai Peng'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 Ai Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ai Peng more than expected).
Fields of papers citing papers by Ai Peng
This network shows the impact of papers produced by Ai Peng. 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 Ai Peng. The network helps show where Ai Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ai Peng, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 86 | |
| 2 | 2016 | 79 | |
| 3 | 2014 | 74 | |
| 4 | 2007 | 73 | |
| 5 | 2011 | 57 | |
| 6 | 2015 | 57 | |
| 7 | 2012 | 55 | |
| 8 | 2011 | 54 | |
| 9 | 2017 | 50 | |
| 10 | 2013 | 49 | |
| 11 | 2017 | 48 | |
| 12 | 2015 | 48 | |
| 13 | 2016 | 48 | |
| 14 | 2016 | 41 | |
| 15 | 2017 | 40 | |
| 16 | 2019 | 40 | |
| 17 | 2019 | 39 | |
| 18 | 2014 | 36 | |
| 19 | 2015 | 34 | |
| 20 | 2024 | 33 |
About Ai Peng
Ai Peng is a scholar working on Nephrology, Molecular Biology, Organic Chemistry, Surgery and Pathology and Forensic Medicine, having authored 102 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (15 papers), Advanced Polymer Synthesis and Characterization (9 papers), Advanced Thermoelectric Materials and Devices (9 papers), Paraquat toxicity studies and treatments (8 papers), Thermal properties of materials (6 papers), biodegradable polymer synthesis and properties (6 papers), Polymer Surface Interaction Studies (6 papers) and Electromagnetic wave absorption materials (4 papers). The work is most often cited by research in Nephrology (513 citations), Biochemistry (97 citations), Clinical Biochemistry (76 citations), Pathology and Forensic Medicine (159 citations) and Molecular Biology (557 citations). Ai Peng has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Hui Bao, Rujun Gong, Yan Ge, Yaxiang Song, Chandra Mohan, Tianfu Wu, Ling Qin, Lance D. Dworkin, Jun‐Yan Liu and Changbin Li. Their work appears in journals such as Life Sciences, PLoS ONE, Kidney International, Renal Failure and JCI Insight.
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.