Xiaofeng Liang
- Epidemiology top 2%
- Hepatology top 1%
- Health, Toxicology and Mutagenesis top 2%
- Health top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Topics
- Hepatitis B Virus Studies (47 papers)Hepatitis Viruses Studies and Epidemiology (31 papers)Hepatitis C virus research (23 papers)
- Cited by
- HepatologyEpidemiologyHealth
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Xiaofeng Liang
60 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Epidemiology 1.3k
- Hepatology 881
- Health, Toxicology and Mutagenesis 381
- Health 312
- Cardiology and Cardiovascular Medicine 275
Countries citing papers authored by Xiaofeng Liang
This map shows the geographic impact of Xiaofeng Liang'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 Xiaofeng Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofeng Liang more than expected).
Fields of papers citing papers by Xiaofeng Liang
This network shows the impact of papers produced by Xiaofeng Liang. 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 Xiaofeng Liang. The network helps show where Xiaofeng Liang may publish in the future.
Co-authorship network of co-authors of Xiaofeng Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Liang. A scholar is included among the top collaborators of Xiaofeng Liang 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 Xiaofeng Liang. Xiaofeng Liang 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 | 3 | |
| 3 | 15 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 34 | |
| 7 | 5 | |
| 8 | [Study on risk factors of hepatitis B virus infection among patients receiving hemodialysis by multi-level statistical model analysis]. | 3 |
| 9 | [Seroepidemiological analysis of hepatitis B among children aged 1-14 in 3 counties of Guangdong province in 2013]. | 3 |
| 10 | [Persistence of immune memory to hepatitis B vaccine among infants with normal or high antibody response to primary vaccination: a five-year following-up study]. | 1 |
| 11 | 17 | |
| 12 | 16 | |
| 13 | 7 | |
| 14 | 20 | |
| 15 | 6 | |
| 16 | 30 | |
| 17 | 14 | |
| 18 | 35 | |
| 19 | 7 | |
| 20 | 79 |
About Xiaofeng Liang
Xiaofeng Liang is a scholar working on Hepatology, Epidemiology and Health, having authored 61 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (47 papers), Hepatitis Viruses Studies and Epidemiology (31 papers) and Hepatitis C virus research (23 papers). The work is most often cited by research in Hepatology (881 citations), Epidemiology (1.3k citations) and Health (312 citations). Xiaofeng Liang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Maigeng Zhou, Xia Wan, Mohsen Naghavi, Yu Wang, Theo Vos, Yuhong Jiang, Yi‐Xin Zeng, Gonghuan Yang, Christopher J L Murray and Haidong Wang. Their work appears in journals such as The Lancet, PLoS ONE and American Journal of Clinical Nutrition.
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.