Mei-Ling Ai
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
Papers in
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- RNA modifications and cancer 2
- RNA Research and Splicing 2
-
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 2
- Co-authors
- Li Zhao (4 shared papers)Yiqing Wang (4 shared papers)Shuang Wang (3 shared papers)Huanan Wang (2 shared papers)Jiang Yu (2 shared papers)Yue Han (3 shared papers)Yanqing Ding (2 shared papers)Huijuan Jiang (2 shared papers)
- Journals
- Frontiers in Immunology (2 papers)Journal of Cellular and Molecular Medicine (2 papers)International Journal of Biological Sciences (1 paper)Molecular Cancer (1 paper)Oncogene (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Mei-Ling Ai
14 papers receiving 526 citations
Peers
Comparison fields: 5 of 57
- Cancer Research 255
- Molecular Biology 315
- Oncology 86
- Immunology 52
- Epidemiology 65
Countries citing papers authored by Mei-Ling Ai
This map shows the geographic impact of Mei-Ling 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 Mei-Ling Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei-Ling Ai more than expected).
Fields of papers citing papers by Mei-Ling Ai
This network shows the impact of papers produced by Mei-Ling 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 Mei-Ling Ai. The network helps show where Mei-Ling Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei-Ling 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 86 | |
| 2 | 2019 | 83 | |
| 3 | 2017 | 81 | |
| 4 | 2019 | 74 | |
| 5 | 2021 | 44 | |
| 6 | 2022 | 41 | |
| 7 | 2022 | 32 | |
| 8 | 2023 | 29 | |
| 9 | 2020 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2021 | 11 | |
| 12 | 2023 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 3 |
About Mei-Ling Ai
Mei-Ling Ai is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Epidemiology, having authored 14 papers that have together received 526 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Peptidase Inhibition and Analysis (2 papers), MicroRNA in disease regulation (2 papers), Genetic factors in colorectal cancer (2 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Cancer Research (255 citations), Molecular Biology (315 citations), Oncology (86 citations), Immunology (52 citations) and Epidemiology (65 citations). Mei-Ling Ai has collaborated with scholars based in China and United States. Frequent co-authors include Li Zhao, Yiqing Wang, Shuang Wang, Huanan Wang, Jiang Yu, Yue Han, Yanqing Ding, Huijuan Jiang, Lan Wang and Shasha Hu. Their work appears in journals such as Frontiers in Immunology, Journal of Cellular and Molecular Medicine, International Journal of Biological Sciences, Molecular Cancer and Oncogene.
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.