Guotai Sheng

1.5k total citations
58 papers, 850 citations indexed

About

Guotai Sheng is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Guotai Sheng has authored 58 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Endocrinology, Diabetes and Metabolism, 35 papers in Epidemiology and 20 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Guotai Sheng's work include Liver Disease Diagnosis and Treatment (30 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers) and Diet, Metabolism, and Disease (17 papers). Guotai Sheng is often cited by papers focused on Liver Disease Diagnosis and Treatment (30 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers) and Diet, Metabolism, and Disease (17 papers). Guotai Sheng collaborates with scholars based in China, Germany and Italy. Guotai Sheng's co-authors include Yang Zou, Maobin Kuang, Chong Hu, Nan Peng, Song Lu, Ling Zhong, Guobo Xie, Ruijuan Yang, Yanjia Zhong and Shuhua Zhang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Diabetes Obesity and Metabolism.

In The Last Decade

Guotai Sheng

49 papers receiving 844 citations

Peers

Guotai Sheng
Comparison fields: 5 of 81
  • Epidemiology 478
  • Endocrinology, Diabetes and Metabolism 445
  • Cardiology and Cardiovascular Medicine 177
  • Surgery 138
  • Physiology 129
Replace Akihiro Obora with:
Akihiro Obora Japan
Yang Zou China
Jae Hwan Jee South Korea
Daniela Liccardo Italy
Jieling Xiao Singapore
Jian-Gao Fan China
Min Kyung Kim South Korea
Eunice Xiang Xuan Tan Singapore
F Marini Italy
Nebojša Kavarić Montenegro
Akihiro Obora Japan View profile →
Citations per field, relative to Guotai Sheng
Guotai Sheng · 1×
Citations per year, relative to Guotai Sheng
Guotai Sheng · 1×

Countries citing papers authored by Guotai Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Guotai Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guotai Sheng

This figure shows the co-authorship network connecting the top 25 collaborators of Guotai Sheng. A scholar is included among the top collaborators of Guotai Sheng 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 Guotai Sheng. Guotai Sheng 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 0
2 4
3 4
4 5
5 8
6 9
7 5
8 15
9 4
10 3
11 33
12 42
13 9
14 2
15 4
16 52
17 88
18 126
19 14
20 30

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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