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
- Inflammasome and immune disorders
Papers in
-
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 2
- Oncology 5
- Peptidase Inhibition and Analysis 2
- Cancer Cells and Metastasis 1
- Co-authors
- Li Zhao (4 shared papers)Yiqing Wang (4 shared papers)Shuang Wang (3 shared papers)Jiang Yu (2 shared papers)Huanan Wang (2 shared papers)Yue Han (3 shared papers)Shasha Hu (3 shared papers)Lan Wang (3 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (2 papers)Frontiers in Immunology (2 papers)International Journal of Biological Sciences (1 paper)Journal of Proteome Research (1 paper)Cancer Science (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Mei-Ling Ai
15 papers receiving 557 citations
Peers
Comparison fields: 5 of 57
- Cancer Research 262
- Molecular Biology 329
- Oncology 90
- Immunology 60
- 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 | 92 | |
| 2 | 2019 | 85 | |
| 3 | 2017 | 82 | |
| 4 | 2019 | 75 | |
| 5 | 2022 | 51 | |
| 6 | 2021 | 46 | |
| 7 | 2022 | 34 | |
| 8 | 2023 | 32 | |
| 9 | 2020 | 19 | |
| 10 | 2020 | 16 | |
| 11 | 2021 | 11 | |
| 12 | 2024 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 1 |
About Mei-Ling Ai
Mei-Ling Ai is a scholar working on Cancer Research, Oncology, Molecular Biology, Pathology and Forensic Medicine and Emergency Medicine, having authored 15 papers that have together received 557 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Genetic factors in colorectal cancer (2 papers), Peptidase Inhibition and Analysis (2 papers), MicroRNA in disease regulation (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Cancer Research (262 citations), Molecular Biology (329 citations), Oncology (90 citations), Immunology (60 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, Jiang Yu, Huanan Wang, Yue Han, Shasha Hu, Lan Wang, Minhui Yang and Huijuan Jiang. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Frontiers in Immunology, International Journal of Biological Sciences, Journal of Proteome Research and Cancer Science.
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.