Wei Bai
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
- Hepatology 18
- Hepatocellular Carcinoma Treatment and Prognosis 12
- Liver Disease and Transplantation 8
- Epidemiology 13
- Liver Disease Diagnosis and Treatment 8
- Hepatitis B Virus Studies 3
- Co-authors
- Xiaosheng He (7 shared papers)Yuqin Ye (7 shared papers)Yongxiang Yang (7 shared papers)Xinhong Su (5 shared papers)Jun He (1 shared paper)Guohong Han (16 shared papers)Zhanxin Yin (17 shared papers)Yan Zhao (7 shared papers)
- Journals
- Neurochemical Research (2 papers)Journal of Vascular and Interventional Radiology (2 papers)Journal of Gastroenterology and Hepatology (2 papers)Clinical Cancer Research (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Wei Bai
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Hepatology 496
- Cancer Research 234
- Neurology 125
- Developmental Neuroscience 51
- Epidemiology 329
Countries citing papers authored by Wei Bai
This map shows the geographic impact of Wei 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 Wei Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Bai more than expected).
Fields of papers citing papers by Wei Bai
This network shows the impact of papers produced by Wei 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 Wei Bai. The network helps show where Wei Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 193 | |
| 2 | 2019 | 168 | |
| 3 | 2013 | 90 | |
| 4 | 2013 | 81 | |
| 5 | 2011 | 53 | |
| 6 | 2022 | 44 | |
| 7 | 2014 | 42 | |
| 8 | 2019 | 40 | |
| 9 | 2017 | 38 | |
| 10 | 2017 | 38 | |
| 11 | 2016 | 37 | |
| 12 | 2018 | 33 | |
| 13 | 2014 | 32 | |
| 14 | 2014 | 28 | |
| 15 | 2022 | 26 | |
| 16 | 2019 | 25 | |
| 17 | 2015 | 25 | |
| 18 | 2022 | 25 | |
| 19 | 2017 | 24 | |
| 20 | 2022 | 23 |
About Wei Bai
Wei Bai is a scholar working on Hepatology, Epidemiology, Molecular Biology, Surgery and Cancer Research, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (12 papers), Liver Disease Diagnosis and Treatment (8 papers), Liver Disease and Transplantation (8 papers), Organ Transplantation Techniques and Outcomes (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Hepatitis B Virus Studies (3 papers), Cancer Mechanisms and Therapy (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Hepatology (496 citations), Cancer Research (234 citations), Neurology (125 citations), Developmental Neuroscience (51 citations) and Epidemiology (329 citations). Wei Bai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaosheng He, Yuqin Ye, Yongxiang Yang, Xinhong Su, Jun He, Guohong Han, Zhanxin Yin, Yan Zhao, Daiming Fan and Xin Zhang. Their work appears in journals such as Neurochemical Research, Journal of Vascular and Interventional Radiology, Journal of Gastroenterology and Hepatology, Clinical Cancer Research and Scientific Reports.
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.