Qing Shao

2.4k total citations
72 papers, 1.1k citations indexed

About

Qing Shao is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Qing Shao has authored 72 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 17 papers in Hepatology and 15 papers in Molecular Biology. Recurrent topics in Qing Shao's work include Liver Disease Diagnosis and Treatment (15 papers), Hepatitis B Virus Studies (14 papers) and Hepatitis C virus research (11 papers). Qing Shao is often cited by papers focused on Liver Disease Diagnosis and Treatment (15 papers), Hepatitis B Virus Studies (14 papers) and Hepatitis C virus research (11 papers). Qing Shao collaborates with scholars based in China, United States and Switzerland. Qing Shao's co-authors include Yun Chen, Dong Ji, Shuai Lü, Jie Sun, Runqiu Jiang, William T. Abraham, Kenneth Dickstein, YannTong Chiang, Lars Køber and John J.V. McMurray and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Qing Shao

68 papers receiving 1.0k citations

Peers

Qing Shao
Comparison fields: 5 of 112
  • Epidemiology 362
  • Hepatology 283
  • Molecular Biology 206
  • Cardiology and Cardiovascular Medicine 203
  • Endocrinology, Diabetes and Metabolism 137
Replace Xiaoli Liu with:
Xiaoli Liu China
Sen Zhong China
Jing Hou China
Haibo Zhang China
Dagmara Mohuczy United States
Tatsuhiro Tsujimoto Japan
Adam Sheka United States
Petru Adrian Mircea Romania
Xiuzhong Yao China
Τushar Garimella United States
Xiaoli Liu China View profile →
Citations per field, relative to Qing Shao
Qing Shao · 1×
Citations per year, relative to Qing Shao
Qing Shao · 1×

Countries citing papers authored by Qing Shao

Since Specialization
Citations

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

Fields of papers citing papers by Qing Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing Shao. 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 Qing Shao. The network helps show where Qing Shao may publish in the future.

Co-authorship network of co-authors of Qing Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Shao. A scholar is included among the top collaborators of Qing Shao 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 Qing Shao. Qing Shao 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
# Work Indexed citations
1 1
2 1
3 1
4 3
5 14
6 7
7 16
8 36
9 23
10 6
11 32
12 3
13 7
14 16
15 23
16 1
17 169
18 125
19 14
20
Analysis of the efficiency of FibroScan combined with serologic markers for diagnosing liver fibrosis
2

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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