Shiying Xuan
- Hepatology top 1%
- Hepatitis C virus research 9
- Liver Disease and Transplantation 5
- Liver Diseases and Immunity 4
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment 40
- Hepatitis B Virus Studies 10
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- Diet, Metabolism, and Disease 9
- Surgery top 10%
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- Endoplasmic Reticulum Stress and Disease 5
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- Lipid metabolism and disorders 13
- Co-authors
- Quanjiang DongZhonghua LinXiangjun JiangYongning XinShu-Hui ZhanYing SunQing WangShousheng Liu
- Partner nations
- ChinaUnited States
In The Last Decade
Shiying Xuan
57 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Hepatology 907
- Epidemiology 1.3k
- Endocrinology, Diabetes and Metabolism 259
- Surgery 283
- Cell Biology 104
Countries citing papers authored by Shiying Xuan
This map shows the geographic impact of Shiying Xuan'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 Shiying Xuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiying Xuan more than expected).
Fields of papers citing papers by Shiying Xuan
This network shows the impact of papers produced by Shiying Xuan. 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 Shiying Xuan. The network helps show where Shiying Xuan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shiying Xuan, 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 | 2024 | 7 | |
| 2 | 2022 | 3 | |
| 3 | 2018 | 14 | |
| 4 | 2017 | 8 | |
| 5 | 2017 | 22 | |
| 6 | 2016 | 5 | |
| 7 | 2016 | 30 | |
| 8 | 2016 | 37 | |
| 9 | 2015 | 29 | |
| 10 | 2015 | 1 | |
| 11 | 2015 | 47 | |
| 12 | 2015 | 37 | |
| 13 | 2015 | 0 | |
| 14 | 2015 | 3 | |
| 15 | 2014 | 18 | |
| 16 | 2013 | 6 | |
| 17 | Research Based on Effects of PNPLA3 I148M Polymorphisms on Adiponectin Levels and Genetic Susceptibility of Nonalcoholic Fatty Liver Disease in Chinese Han Population | 2012 | 1 |
| 18 | 2012 | 114 | |
| 19 | Performance of the Aspartate Aminotransferase-to-Platelet Ratio Index for the Staging of Hepatitis C-Related Fibrosis: An Updated Meta-Analysis §Δbreakdown → | 2010 | 796 |
| 20 | 2008 | 33 |
About Shiying Xuan
Shiying Xuan is a scholar working on Hepatology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (40 papers), Lipid metabolism and disorders (13 papers), Hepatitis B Virus Studies (10 papers), Diet, Metabolism, and Disease (9 papers), Hepatitis C virus research (9 papers), Liver Disease and Transplantation (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Liver Diseases and Immunity (4 papers). The work is most often cited by research in Hepatology (907 citations), Epidemiology (1.3k citations) and Endocrinology, Diabetes and Metabolism (259 citations). Shiying Xuan has collaborated with scholars based in China and United States. Frequent co-authors include Quanjiang Dong, Zhonghua Lin, Xiangjun Jiang, Yongning Xin, Shu-Hui Zhan, Ying Sun, Qing Wang, Shousheng Liu, Lizhen Chen and Wenwen Jin. Their work appears in journals such as PLoS ONE, Hepatology and Neurobiology of Aging.
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.