Bin Wei
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Liver physiology and pathology
-
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
-
- Hepatitis B Virus Studies 4
- Liver Disease Diagnosis and Treatment 2
-
- Hepatitis C virus research 3
- Liver physiology and pathology 1
- Co-authors
- Yanan Song (2 shared papers)Shi-Bing Su (2 shared papers)Shu Dong (2 shared papers)Ping Liu (1 shared paper)Yongyu Zhang (1 shared paper)Dongdong Li (4 shared papers)Chuanmin Tao (4 shared papers)Yu Gou (2 shared papers)
- Journals
- Journal of Medical Virology (2 papers)Annals of Clinical Biochemistry International Journal of Laboratory Medicine (1 paper)Acta Pharmacologica Sinica (1 paper)CHEST Journal (1 paper)Journal of Clinical Laboratory Analysis (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bin Wei
14 papers receiving 161 citations
Peers
Comparison fields: 5 of 49
- Hepatology 59
- Epidemiology 70
- Pharmacology 18
- Complementary and alternative medicine 7
- Virology 4
Countries citing papers authored by Bin Wei
This map shows the geographic impact of Bin Wei'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 Bin Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Wei more than expected).
Fields of papers citing papers by Bin Wei
This network shows the impact of papers produced by Bin Wei. 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 Bin Wei. The network helps show where Bin Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 41 | |
| 2 | 2017 | 28 | |
| 3 | 2017 | 24 | |
| 4 | 2020 | 14 | |
| 5 | 2017 | 13 | |
| 6 | 2018 | 9 | |
| 7 | 2018 | 9 | |
| 8 | 2024 | 5 | |
| 9 | 2013 | 5 | |
| 10 | 2016 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2016 | 4 | |
| 13 | 2020 | 2 | |
| 14 | 2016 | 1 | |
| 15 | 2021 | 0 | |
| 16 | 2021 | 0 | |
| 17 | 2021 | 0 | |
| 18 | 1998 | 0 |
About Bin Wei
Bin Wei is a scholar working on Epidemiology, Hepatology, Surgery, Immunology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 163 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (4 papers), Hepatitis C virus research (3 papers), Inflammation biomarkers and pathways (2 papers), Pancreatitis Pathology and Treatment (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Protein purification and stability (1 paper), Amoebic Infections and Treatments (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Hepatology (59 citations), Epidemiology (70 citations), Pharmacology (18 citations), Complementary and alternative medicine (7 citations) and Virology (4 citations). Bin Wei has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yanan Song, Shi-Bing Su, Shu Dong, Ping Liu, Yongyu Zhang, Dongdong Li, Chuanmin Tao, Yu Gou, Tingting Wang and Bei Cai. Their work appears in journals such as Journal of Medical Virology, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Acta Pharmacologica Sinica, CHEST Journal and Journal of Clinical Laboratory Analysis.
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.