Aiping Le
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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- Long-Term Effects of COVID-19
Papers in
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- Circular RNAs in diseases 2
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- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 4
- Co-authors
- Junming Li (4 shared papers)Mei Jiang (2 shared papers)La‐Gen Wan (4 shared papers)Rui Zhao (2 shared papers)Zikun Huang (1 shared paper)Qing Luo (1 shared paper)Shuyuan Liu (1 shared paper)Yang Guo (1 shared paper)
- Journals
- Biology Direct (1 paper)Current Molecular Pharmacology (1 paper)Frontiers in Cardiovascular Medicine (1 paper)Frontiers in Endocrinology (1 paper)Journal of the American College of Cardiology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Aiping Le
24 papers receiving 297 citations
Peers
Comparison fields: 5 of 60
- Infectious Diseases 112
- Neurology 65
- Immunology 61
- Cancer Research 32
- Biological Psychiatry 3
Countries citing papers authored by Aiping Le
This map shows the geographic impact of Aiping Le'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 Aiping Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aiping Le more than expected).
Fields of papers citing papers by Aiping Le
This network shows the impact of papers produced by Aiping Le. 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 Aiping Le. The network helps show where Aiping Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Aiping Le, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 122 | |
| 2 | 2016 | 26 | |
| 3 | 2021 | 19 | |
| 4 | 2021 | 19 | |
| 5 | 2021 | 16 | |
| 6 | 2020 | 16 | |
| 7 | 2021 | 15 | |
| 8 | 2024 | 9 | |
| 9 | 2020 | 9 | |
| 10 | 2017 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2025 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2023 | 3 | |
| 18 | [Diagnostic value of anti-cyclic citrullinated peptide antibody for rheumatoid arthritis: a meta-analysis]. | 2006 | 3 |
| 19 | 2024 | 3 | |
| 20 | 2020 | 2 |
About Aiping Le
Aiping Le is a scholar working on Molecular Biology, Infectious Diseases, Pulmonary and Respiratory Medicine, Immunology and Cancer Research, having authored 28 papers that have together received 298 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers), Aortic Disease and Treatment Approaches (2 papers), Infectious Aortic and Vascular Conditions (2 papers), Circular RNAs in diseases (2 papers), Blood transfusion and management (2 papers), Aortic aneurysm repair treatments (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Infectious Diseases (112 citations), Neurology (65 citations), Immunology (61 citations), Cancer Research (32 citations) and Biological Psychiatry (3 citations). Aiping Le has collaborated with scholars based in China and United States. Frequent co-authors include Junming Li, Mei Jiang, La‐Gen Wan, Rui Zhao, Zikun Huang, Qing Luo, Shuyuan Liu, Yang Guo, Lunli Zhang and Yufei Shi. Their work appears in journals such as Biology Direct, Current Molecular Pharmacology, Frontiers in Cardiovascular Medicine, Frontiers in Endocrinology and Journal of the American College of Cardiology.
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.