Shi Qi Yang

3.8k citations
20 papers · 3.2k indexed · 2 hit papers · h-index 18
Topics
Liver Disease Diagnosis and Treatment (13 papers)Liver physiology and pathology (9 papers)Pancreatic function and diabetes (4 papers)

In The Last Decade

Shi Qi Yang

20 papers receiving 3.1k citations

Hit Papers

Obesity increases sensitivity to endotoxin liver injury: ...199720262006201619972000200400600

Peers

Shi Qi Yang
Comparison fields: 5 of 93
  • Epidemiology 2.0k
  • Molecular Biology 954
  • Hepatology 896
  • Surgery 699
  • Endocrinology, Diabetes and Metabolism 686
Replace Ki M. Mak with:
Ki M. Mak United States
Tsuneo Kitamura Japan
Shunhei Yamashina Japan
Adeline Bertola United States
Tímea Csák United States
Chantal A. Rivera United States
Sophie C. Cazanave United States
Hae‐Ki Min United States
Ming Yin United States
Chandrashekhar R. Gandhi United States
Shi Qi Yang relative to Ki M. Mak United States Ki M. Mak's profile →
Citations per field
00.5×1.5×
Ki M. Mak · 1×
Citations per year

Countries citing papers authored by Shi Qi Yang

Since Specialization
Citations

This map shows the geographic impact of Shi Qi Yang'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 Shi Qi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shi Qi Yang more than expected).

Fields of papers citing papers by Shi Qi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shi Qi Yang. 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 Shi Qi Yang. The network helps show where Shi Qi Yang may publish in the future.

Co-authorship network of co-authors of Shi Qi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shi Qi Yang. A scholar is included among the top collaborators of Shi Qi Yang 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 Shi Qi Yang. Shi Qi Yang 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
1 348
2 80
3 73
4 198
5
Metformin reverses fatty liver disease in obese, leptin-deficient micebreakdown →
564
6 137
7 174
8 143
9 62
10 85
11 213
12
Obesity increases sensitivity to endotoxin liver injury: Implications for the pathogenesis of steatohepatitisbreakdown →
675
13 65
14 42
15 58
16 10
17 31
18 6
19 56
20 162

About Shi Qi Yang

Shi Qi Yang is a scholar working on Hepatology, Epidemiology and Pathology and Forensic Medicine, having authored 20 papers that have together received 3.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Liver physiology and pathology (9 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Hepatology (896 citations), Epidemiology (2.0k citations) and Endocrinology, Diabetes and Metabolism (686 citations). Shi Qi Yang has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Anna Mae Diehl, Hui Lin, M. Daniel Lane, Mark G. Clemens, Francis P. Kuhajda, Jiawen Huang, Todd M. Lowe, John B. Sharefkin, Carl W. Dieffenbach and Mandal Ak. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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