Shiying Xuan

2.3k citations
58 papers · 1.7k indexed · 1 hit paper · h-index 20
Topics
Liver Disease Diagnosis and Treatment (40 papers)Lipid metabolism and disorders (13 papers)Hepatitis B Virus Studies (10 papers)
Partner nations
ChinaUnited States

In The Last Decade

Shiying Xuan

57 papers receiving 1.7k citations

Hit Papers

Performance of the Aspartate Aminotransferase-to-Platelet...20102026201520202010250500750

Peers

Shiying Xuan
Comparison fields: 5 of 84
  • Epidemiology 1.3k
  • Hepatology 907
  • Surgery 283
  • Endocrinology, Diabetes and Metabolism 259
  • Molecular Biology 171
Replace Yoshio Tokumoto with:
Yoshio Tokumoto Japan
Takefumi Kimura Japan
Terese Haaland Norway
Robert Schierwagen Germany
Konstantin Kazankov Denmark
Hiroki Sakaguchi Japan
Lydia M. Petrovic United States
Alişan Kahraman Germany
Ariel E. Feldstein United States
Tobias Puengel Germany
Shiying Xuan relative to Yoshio Tokumoto Japan Yoshio Tokumoto's profile →
Citations per field
00.5×1.7×
Yoshio Tokumoto · 1×
Citations per year

Countries citing papers authored by Shiying Xuan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Shiying Xuan

This figure shows the co-authorship network connecting the top 25 collaborators of Shiying Xuan. A scholar is included among the top collaborators of Shiying Xuan 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 Shiying Xuan. Shiying Xuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 3
3 14
4 8
5 22
6 5
7 30
8 37
9 29
10 1
11 47
12 37
13 0
14 3
15 18
16 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
1
18 114
19
Performance of the Aspartate Aminotransferase-to-Platelet Ratio Index for the Staging of Hepatitis C-Related Fibrosis: An Updated Meta-Analysis §Δbreakdown →
796
20 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) and Hepatitis B Virus Studies (10 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.

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