Wei Ai
Impact in
- Nephrology top 5%
- Parathyroid Disorders and Treatments
- Chronic Kidney Disease and Diabetes
Papers in
-
- Epigenetics and DNA Methylation 2
- Inflammasome and immune disorders 2
-
- Autophagy in Disease and Therapy 2
- Co-authors
- Wangsen Cao (9 shared papers)Fang Chen (7 shared papers)Xiaobo Zhu (4 shared papers)Qi Gao (5 shared papers)Xingren Chen (4 shared papers)Qing Jiang (3 shared papers)Ke Lu (2 shared papers)Yanning Li (2 shared papers)
- Journals
- Blood (2 papers)Journal of Molecular Medicine (2 papers)Frontiers in Immunology (2 papers)Pharmacological Research (1 paper)Oxidative Medicine and Cellular Longevity (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Wei Ai
20 papers receiving 735 citations
Peers
Comparison fields: 5 of 85
- Nephrology 86
- Biological Psychiatry 25
- Geriatrics and Gerontology 21
- Aging 9
- Molecular Biology 328
Countries citing papers authored by Wei Ai
This map shows the geographic impact of Wei 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 Wei Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Ai more than expected).
Fields of papers citing papers by Wei Ai
This network shows the impact of papers produced by Wei 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 Wei Ai. The network helps show where Wei Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 95 | |
| 2 | 2021 | 76 | |
| 3 | 2020 | 69 | |
| 4 | 2022 | 67 | |
| 5 | 2020 | 63 | |
| 6 | 2021 | 59 | |
| 7 | 2019 | 57 | |
| 8 | 2021 | 50 | |
| 9 | 2020 | 50 | |
| 10 | 2018 | 48 | |
| 11 | 2021 | 43 | |
| 12 | 2022 | 25 | |
| 13 | 2024 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2006 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2006 | 5 | |
| 18 | 2017 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 1 |
About Wei Ai
Wei Ai is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Nephrology and Pathology and Forensic Medicine, having authored 22 papers that have together received 736 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (3 papers), Parathyroid Disorders and Treatments (3 papers), Chronic Kidney Disease and Diabetes (2 papers), HIV/AIDS Research and Interventions (2 papers), Immune Cell Function and Interaction (2 papers), Epigenetics and DNA Methylation (2 papers), Inflammasome and immune disorders (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Nephrology (86 citations), Biological Psychiatry (25 citations), Geriatrics and Gerontology (21 citations), Aging (9 citations) and Molecular Biology (328 citations). Wei Ai has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Wangsen Cao, Fang Chen, Xiaobo Zhu, Qi Gao, Xingren Chen, Qing Jiang, Ke Lu, Yanning Li, Fangfang Bi and Xiaogang Zhou. Their work appears in journals such as Blood, Journal of Molecular Medicine, Frontiers in Immunology, Pharmacological Research and Oxidative Medicine and Cellular Longevity.
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.