Mingkai Chen
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
- Obstetrics and Gynecology top 10%
- COVID-19 Impact on Reproduction
Papers in
- Epidemiology 14
- Liver Disease Diagnosis and Treatment 10
- Autophagy in Disease and Therapy 2
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- Liver Disease and Transplantation 3
- Co-authors
- Yuanbin Liu (9 shared papers)Jun Wang (1 shared paper)Hongbo Qi (1 shared paper)Jian Zhang (1 shared paper)Xin Luo (1 shared paper)Xiangfei Liu (1 shared paper)Philip Newton Baker (1 shared paper)Guoming Sun (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)Journal of Gastroenterology and Hepatology (2 papers)Annals of Oncology (1 paper)International Journal of Molecular Sciences (1 paper)Cytokine (1 paper)
- Partner nations
- ChinaUnited KingdomEthiopia
In The Last Decade
Mingkai Chen
32 papers receiving 553 citations
Peers
Comparison fields: 5 of 87
- Geriatrics and Gerontology 48
- Obstetrics and Gynecology 69
- Hepatology 60
- Epidemiology 130
- Physiology 85
Countries citing papers authored by Mingkai Chen
This map shows the geographic impact of Mingkai Chen'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 Mingkai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingkai Chen more than expected).
Fields of papers citing papers by Mingkai Chen
This network shows the impact of papers produced by Mingkai Chen. 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 Mingkai Chen. The network helps show where Mingkai Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingkai Chen, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 131 | |
| 2 | 2022 | 95 | |
| 3 | 2022 | 81 | |
| 4 | 2024 | 41 | |
| 5 | 2023 | 36 | |
| 6 | 2023 | 25 | |
| 7 | 2023 | 21 | |
| 8 | 2022 | 20 | |
| 9 | 2009 | 19 | |
| 10 | 2014 | 16 | |
| 11 | 2024 | 11 | |
| 12 | 2024 | 9 | |
| 13 | 2025 | 8 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 3 |
About Mingkai Chen
Mingkai Chen is a scholar working on Epidemiology, Hepatology, Geriatrics and Gerontology, Immunology and Physiology, having authored 33 papers that have together received 561 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), Sirtuins and Resveratrol in Medicine (3 papers), interferon and immune responses (3 papers), Liver Disease and Transplantation (3 papers), Colorectal Cancer Screening and Detection (2 papers), Epigenetics and DNA Methylation (2 papers), Autophagy in Disease and Therapy (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Geriatrics and Gerontology (48 citations), Obstetrics and Gynecology (69 citations), Hepatology (60 citations), Epidemiology (130 citations) and Physiology (85 citations). Mingkai Chen has collaborated with scholars based in China, United Kingdom and Ethiopia. Frequent co-authors include Yuanbin Liu, Jun Wang, Hongbo Qi, Jian Zhang, Xin Luo, Xiangfei Liu, Philip Newton Baker, Guoming Sun, Hua Zhang and Liang Sun. Their work appears in journals such as Frontiers in Immunology, Journal of Gastroenterology and Hepatology, Annals of Oncology, International Journal of Molecular Sciences and Cytokine.
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.