Mingkai Chen
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Hepatology top 10%
Papers in
- Hepatology 13
- Liver Disease and Transplantation 9
- Hepatocellular Carcinoma Treatment and Prognosis 3
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- Gastrointestinal motility and disorders 3
- Co-authors
- Tomás R. Guilarte (4 shared papers)Jennifer L. McGlothan (2 shared papers)Peter B. Barker (1 shared paper)Tore L. M. Syversen (1 shared paper)Jay S. Schneider (1 shared paper)Mahaveer N. Degaonkar (1 shared paper)Yong Xiao (5 shared papers)Wang Fen (1 shared paper)
- Journals
- Journal of Nuclear Medicine (4 papers)Endoscopic Ultrasound (3 papers)Journal of Hepatology (2 papers)Digestive Diseases and Sciences (2 papers)Virulence (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Mingkai Chen
69 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 96
- Neurology 229
- Hepatology 90
- Biological Psychiatry 12
- Gastroenterology 53
- Health, Toxicology and Mutagenesis 99
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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 445 | |
| 2 | 2006 | 108 | |
| 3 | 2020 | 69 | |
| 4 | 2006 | 61 | |
| 5 | 2020 | 51 | |
| 6 | 2022 | 43 | |
| 7 | 2020 | 30 | |
| 8 | 2020 | 27 | |
| 9 | 2021 | 25 | |
| 10 | 2020 | 20 | |
| 11 | 2013 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2017 | 17 | |
| 14 | 2013 | 15 | |
| 15 | 2018 | 15 | |
| 16 | 2022 | 15 | |
| 17 | 2018 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2012 | 11 | |
| 20 | 2022 | 11 |
About Mingkai Chen
Mingkai Chen is a scholar working on Hepatology, Gastroenterology, Signal Processing, Oncology and Psychiatry and Mental health, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (9 papers), Advanced Wireless Communication Technologies (6 papers), Dementia and Cognitive Impairment Research (4 papers), Video Coding and Compression Technologies (4 papers), COVID-19 Clinical Research Studies (4 papers), Medical Imaging Techniques and Applications (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Gastrointestinal motility and disorders (3 papers). The work is most often cited by research in Neurology (229 citations), Hepatology (90 citations), Biological Psychiatry (12 citations), Gastroenterology (53 citations) and Health, Toxicology and Mutagenesis (99 citations). Mingkai Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tomás R. Guilarte, Jennifer L. McGlothan, Peter B. Barker, Tore L. M. Syversen, Jay S. Schneider, Mahaveer N. Degaonkar, Yong Xiao, Wang Fen, Bin Wang and Zhenming Fu. Their work appears in journals such as Journal of Nuclear Medicine, Endoscopic Ultrasound, Journal of Hepatology, Digestive Diseases and Sciences and Virulence.
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.