Ming Bai
Impact in
- Hepatology top 0.5%
- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
- Hepatitis Viruses Studies and Epidemiology
- Nephrology top 1%
- Acute Kidney Injury Research
- Renal Diseases and Glomerulopathies
Papers in
- Hepatology 32
- Liver Disease and Transplantation 28
- Hepatocellular Carcinoma Treatment and Prognosis 5
- Nephrology 18
- Acute Kidney Injury Research 9
- Renal Diseases and Glomerulopathies 8
- Co-authors
- Daiming Fan (31 shared papers)Xingshun Qi (29 shared papers)Guohong Han (29 shared papers)Zhiping Yang (16 shared papers)Zhanxin Yin (16 shared papers)Kaichun Wu (13 shared papers)Shiren Sun (10 shared papers)Jin Zhao (9 shared papers)
- Journals
- Journal of Gastroenterology and Hepatology (7 papers)Renal Failure (5 papers)Medicine (4 papers)Frontiers in Medicine (4 papers)Journal of Hepatology (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ming Bai
117 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 109
- Hepatology 1.4k
- Nephrology 375
- Epidemiology 655
- Surgery 700
- Internal Medicine 52
Countries citing papers authored by Ming Bai
This map shows the geographic impact of Ming Bai'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 Ming Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Bai more than expected).
Fields of papers citing papers by Ming Bai
This network shows the impact of papers produced by Ming Bai. 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 Ming Bai. The network helps show where Ming Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Bai, 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 176 | |
| 2 | 2011 | 152 | |
| 3 | 2015 | 141 | |
| 4 | 2014 | 120 | |
| 5 | 2010 | 111 | |
| 6 | 2017 | 105 | |
| 7 | 2022 | 102 | |
| 8 | 2021 | 101 | |
| 9 | 2020 | 75 | |
| 10 | 2011 | 74 | |
| 11 | 2019 | 70 | |
| 12 | 2013 | 65 | |
| 13 | 2013 | 62 | |
| 14 | 2012 | 62 | |
| 15 | 2011 | 57 | |
| 16 | 2011 | 53 | |
| 17 | 2013 | 52 | |
| 18 | 2013 | 49 | |
| 19 | 2015 | 47 | |
| 20 | 2013 | 45 |
About Ming Bai
Ming Bai is a scholar working on Hepatology, Nephrology, Surgery, Molecular Biology and Epidemiology, having authored 128 papers that have together received 2.6k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (28 papers), Acute Kidney Injury Research (9 papers), Renal Diseases and Glomerulopathies (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Mechanical Circulatory Support Devices (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Traditional Chinese Medicine Studies (4 papers) and Electrolyte and hormonal disorders (4 papers). The work is most often cited by research in Hepatology (1.4k citations), Nephrology (375 citations), Epidemiology (655 citations), Surgery (700 citations) and Internal Medicine (52 citations). Ming Bai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Daiming Fan, Xingshun Qi, Guohong Han, Zhiping Yang, Zhanxin Yin, Kaichun Wu, Shiren Sun, Jin Zhao, Chuangye He and Ruijuan Dong. Their work appears in journals such as Journal of Gastroenterology and Hepatology, Renal Failure, Medicine, Frontiers in Medicine and Journal of Hepatology.
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.