Mingkai Li
Impact in
- Urology top 10%
- Urinary Bladder and Prostate Research
-
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Epidemiology 15
- Liver Disease Diagnosis and Treatment 11
- Hepatitis B Virus Studies 2
-
- Hepatocellular Carcinoma Treatment and Prognosis 4
- Co-authors
- Bin Wu (8 shared papers)J. Marc Simard (2 shared papers)Yan Sun (4 shared papers)Toby C. Chai (5 shared papers)Sizhe Wan (4 shared papers)Yiming Lei (2 shared papers)Shuying Chen (1 shared paper)Xiaoxing Luo (1 shared paper)
- Journals
- The Journal of Urology (3 papers)Abdominal Radiology (2 papers)Journal of Gastroenterology and Hepatology (2 papers)World Journal of Gastroenterology (2 papers)BioMed Research International (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Mingkai Li
35 papers receiving 300 citations
Peers
Comparison fields: 5 of 87
- Urology 33
- Hepatology 28
- Sensory Systems 18
- Biological Psychiatry 8
- Neurology 18
Countries citing papers authored by Mingkai Li
This map shows the geographic impact of Mingkai Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingkai Li more than expected).
Fields of papers citing papers by Mingkai Li
This network shows the impact of papers produced by Mingkai Li. 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 Li. The network helps show where Mingkai Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingkai Li, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 48 | |
| 2 | 2021 | 38 | |
| 3 | 2006 | 35 | |
| 4 | 2011 | 29 | |
| 5 | 2022 | 24 | |
| 6 | 2009 | 17 | |
| 7 | 2022 | 12 | |
| 8 | 2013 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2022 | 3 |
About Mingkai Li
Mingkai Li is a scholar working on Epidemiology, Hepatology, Urology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 304 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Urinary Bladder and Prostate Research (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Optimal Experimental Design Methods (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers), MRI in cancer diagnosis (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Urology (33 citations), Hepatology (28 citations), Sensory Systems (18 citations), Biological Psychiatry (8 citations) and Neurology (18 citations). Mingkai Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Bin Wu, J. Marc Simard, Yan Sun, Toby C. Chai, Sizhe Wan, Yiming Lei, Shuying Chen, Xiaoxing Luo, Haifang Wang and Xue Ma. Their work appears in journals such as The Journal of Urology, Abdominal Radiology, Journal of Gastroenterology and Hepatology, World Journal of Gastroenterology and BioMed Research International.
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.