Aiping Le
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
-
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 and COVID-19 Research 5
-
- Circular RNAs in diseases 2
- Co-authors
- Junming Li (4 shared papers)Rui Zhao (2 shared papers)Mei Jiang (2 shared papers)La‐Gen Wan (4 shared papers)Qing Luo (1 shared paper)Shuyuan Liu (1 shared paper)Zikun Huang (1 shared paper)Yang Guo (1 shared paper)
- Journals
- Aging (1 paper)Nutrition & Metabolism (1 paper)Medicine (1 paper)Oncology Reports (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Aiping Le
24 papers receiving 284 citations
Peers
Comparison fields: 5 of 67
- Infectious Diseases 134
- Neurology 85
- Immunology 72
- Cancer Research 39
- Oncology 42
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 121 | |
| 2 | 2016 | 26 | |
| 3 | 2021 | 19 | |
| 4 | 2021 | 18 | |
| 5 | 2021 | 16 | |
| 6 | 2020 | 16 | |
| 7 | 2021 | 15 | |
| 8 | 2020 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2017 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2020 | 3 | |
| 15 | [Diagnostic value of anti-cyclic citrullinated peptide antibody for rheumatoid arthritis: a meta-analysis]. | 2006 | 3 |
| 16 | 2024 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2020 | 2 |
About Aiping Le
Aiping Le is a scholar working on Infectious Diseases, Molecular Biology, Pulmonary and Respiratory Medicine, Hematology and Cancer Research, having authored 26 papers that have together received 285 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), MicroRNA in disease regulation (2 papers), Long-Term Effects of COVID-19 (2 papers), Trauma and Emergency Care Studies (2 papers), Acute Myeloid Leukemia Research (2 papers), Blood transfusion and management (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Infectious Diseases (134 citations), Neurology (85 citations), Immunology (72 citations), Cancer Research (39 citations) and Oncology (42 citations). Aiping Le has collaborated with scholars based in China and United States. Frequent co-authors include Junming Li, Rui Zhao, Mei Jiang, La‐Gen Wan, Qing Luo, Shuyuan Liu, Zikun Huang, Yang Guo, Yufei Shi and Lunli Zhang. Their work appears in journals such as Aging, Nutrition & Metabolism, Medicine, Oncology Reports and Frontiers in Cell and Developmental Biology.
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.