Xue-Zhong Lei
- Epidemiology top 10%
- Hepatology top 5%
- Surgery
- Pharmacology
- Molecular Biology
- Topics
- Liver Disease Diagnosis and Treatment (13 papers)Hepatitis B Virus Studies (12 papers)Hepatitis C virus research (9 papers)
- Cited by
- HepatologyEpidemiologyPharmacology
- Partner nations
- China
In The Last Decade
Xue-Zhong Lei
18 papers receiving 286 citations
Peers
Comparison fields: 5 of 41
- Epidemiology 262
- Hepatology 253
- Surgery 26
- Pharmacology 17
- Molecular Biology 13
Countries citing papers authored by Xue-Zhong Lei
This map shows the geographic impact of Xue-Zhong Lei'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 Xue-Zhong Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xue-Zhong Lei more than expected).
Fields of papers citing papers by Xue-Zhong Lei
This network shows the impact of papers produced by Xue-Zhong Lei. 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 Xue-Zhong Lei. The network helps show where Xue-Zhong Lei may publish in the future.
Co-authorship network of co-authors of Xue-Zhong Lei
This figure shows the co-authorship network connecting the top 25 collaborators of Xue-Zhong Lei. A scholar is included among the top collaborators of Xue-Zhong Lei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xue-Zhong Lei. Xue-Zhong Lei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 15 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | [Association of Vitamin D Receptor Polymorphisms with Response to Antiviral Therapy in Patients with Chronic Hepatitis C]. | 1 |
| 6 | [Association of interleukin 28B polymorphisms with response to pegylatedinterferon plus ribavirin therapy for chronic hepatitis C]. | 1 |
| 7 | 17 | |
| 8 | 77 | |
| 9 | 2 | |
| 10 | 22 | |
| 11 | 2 | |
| 12 | [Lamivudine-resistant analysis and management for chronic hepatitis B patients with initial lamivudine therapy]. | 3 |
| 13 | 68 | |
| 14 | 31 | |
| 15 | [Assessment of disease activity and liver fibrosis in chronic viral hepatitis by magnetic resonance diffusion-weighted imaging]. | 2 |
| 16 | 14 | |
| 17 | [The relationship between 31P magnetic resonance spectroscopy and the histopathology of livers of chronic viral hepatitis patients]. | 0 |
| 18 | 1 | |
| 19 | 15 |
About Xue-Zhong Lei
Xue-Zhong Lei is a scholar working on Hepatology, Epidemiology and Pharmacology, having authored 19 papers that have together received 290 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Hepatitis B Virus Studies (12 papers) and Hepatitis C virus research (9 papers). The work is most often cited by research in Hepatology (253 citations), Epidemiology (262 citations) and Pharmacology (17 citations). Xue-Zhong Lei has collaborated with scholars based in China. Frequent co-authors include Hong Tang, En‐Qiang Chen, Cong Liu, Lichun Wang, Ping Feng, Ming‐Hua Zheng, Yao‐Li Cui, Yuebin Wang, Li Liu and Li-Yu Chen. Their work appears in journals such as Scientific Reports, Digestive Diseases and Sciences and Virology Journal.
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.