Hui Mai
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Neurological Complications and Syndromes 3
- Co-authors
- Lili Cui (7 shared papers)Yujie Cai (6 shared papers)Xiongjin Chen (4 shared papers)Jingqi Yang (4 shared papers)Weihao Fan (4 shared papers)Yan Wang (3 shared papers)Bin Zhao (4 shared papers)Jianghao Zhao (4 shared papers)
- Journals
- European Radiology (2 papers)Scientific Reports (1 paper)Medicine (1 paper)Cancer Imaging (1 paper)BMC Pregnancy and Childbirth (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Hui Mai
22 papers receiving 280 citations
Peers
Comparison fields: 5 of 75
- Geriatrics and Gerontology 18
- Cancer Research 63
- Neurology 27
- Developmental Neuroscience 9
- Physiology 52
Countries citing papers authored by Hui Mai
This map shows the geographic impact of Hui Mai'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 Hui Mai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Mai more than expected).
Fields of papers citing papers by Hui Mai
This network shows the impact of papers produced by Hui Mai. 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 Hui Mai. The network helps show where Hui Mai may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Mai, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 79 | |
| 2 | 2017 | 26 | |
| 3 | 2018 | 25 | |
| 4 | The Prevalence of Alzheimer's Disease in China: A Systematic Review and Meta-analysis. | 2018 | 18 |
| 5 | 2019 | 17 | |
| 6 | 2018 | 17 | |
| 7 | 2014 | 15 | |
| 8 | 2017 | 12 | |
| 9 | 2019 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2018 | 10 | |
| 12 | 2019 | 10 | |
| 13 | 2020 | 10 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2015 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2023 | 1 |
About Hui Mai
Hui Mai is a scholar working on Molecular Biology, Psychiatry and Mental health, Pathology and Forensic Medicine, Epidemiology and Obstetrics and Gynecology, having authored 23 papers that have together received 282 indexed citations. Recurring topics across this work include Moyamoya disease diagnosis and treatment (3 papers), Alzheimer's disease research and treatments (3 papers), Pelvic and Acetabular Injuries (3 papers), Pregnancy and preeclampsia studies (3 papers), Neurological Complications and Syndromes (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Bone and Joint Diseases (3 papers) and Breast Lesions and Carcinomas (3 papers). The work is most often cited by research in Geriatrics and Gerontology (18 citations), Cancer Research (63 citations), Neurology (27 citations), Developmental Neuroscience (9 citations) and Physiology (52 citations). Hui Mai has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lili Cui, Yujie Cai, Xiongjin Chen, Jingqi Yang, Weihao Fan, Yan Wang, Bin Zhao, Jianghao Zhao, Huiyi Chen and Feng Chen. Their work appears in journals such as European Radiology, Scientific Reports, Medicine, Cancer Imaging and BMC Pregnancy and Childbirth.
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.