Mingkai Chen
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
-
- Epigenetics and DNA Methylation 3
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 5
- Microscopic Colitis 3
- Co-authors
- Tomás R. Guilarte (4 shared papers)Tore Syversen (1 shared paper)Jennifer L. McGlothan (2 shared papers)Mahaveer Degaonkar (1 shared paper)Jay S. Schneider (1 shared paper)Peter B. Barker (1 shared paper)Zhenming Fu (1 shared paper)Jianglong Han (1 shared paper)
- Journals
- Endoscopic Ultrasound (3 papers)Toxicological Sciences (2 papers)Advanced Science (2 papers)Medicine (2 papers)Digestive Diseases and Sciences (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Mingkai Chen
56 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 111
- Neurology 177
- Biological Psychiatry 42
- Hepatology 91
- Developmental Neuroscience 40
- Cellular and Molecular Neuroscience 153
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 425 | |
| 2 | 2006 | 92 | |
| 3 | 2006 | 58 | |
| 4 | 2024 | 47 | |
| 5 | 2022 | 40 | |
| 6 | 2020 | 25 | |
| 7 | 2020 | 24 | |
| 8 | 2021 | 23 | |
| 9 | 2020 | 20 | |
| 10 | 2013 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2017 | 15 | |
| 13 | 2013 | 14 | |
| 14 | 2018 | 14 | |
| 15 | 2018 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2012 | 11 | |
| 18 | 2019 | 10 | |
| 19 | 2022 | 10 | |
| 20 | 2020 | 10 |
About Mingkai Chen
Mingkai Chen is a scholar working on Molecular Biology, Epidemiology, Surgery, Hepatology and Cellular and Molecular Neuroscience, having authored 65 papers that have together received 1.0k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Epigenetics and DNA Methylation (3 papers), COVID-19 Clinical Research Studies (3 papers), Microscopic Colitis (3 papers) and Organ Transplantation Techniques and Outcomes (2 papers). The work is most often cited by research in Neurology (177 citations), Biological Psychiatry (42 citations), Hepatology (91 citations), Developmental Neuroscience (40 citations) and Cellular and Molecular Neuroscience (153 citations). Mingkai Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Tomás R. Guilarte, Tore Syversen, Jennifer L. McGlothan, Mahaveer Degaonkar, Jay S. Schneider, Peter B. Barker, Zhenming Fu, Jianglong Han, Shijie Wang and Bin Wang. Their work appears in journals such as Endoscopic Ultrasound, Toxicological Sciences, Advanced Science, Medicine and Digestive Diseases and Sciences.
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.