Shu Liao

731 citations
10 papers · 510 indexed · h-index 6
Topics
Mathematical and Theoretical Epidemiology and Ecology Models (7 papers)COVID-19 epidemiological studies (6 papers)Fractional Differential Equations Solutions (3 papers)
Partner nations
ChinaUnited StatesGhana

In The Last Decade

Shu Liao

10 papers receiving 474 citations

Peers

Shu Liao
Comparison fields: 5 of 58
  • Modeling and Simulation 386
  • Public Health, Environmental and Occupational Health 353
  • Endocrinology 247
  • Genetics 134
  • Epidemiology 62
Replace Suzanne L. Robertson with:
Suzanne L. Robertson United States
Senelani D. Hove‐Musekwa Zimbabwe
Getachew Teshome Tilahun Ethiopia
Anna Winters United States
Hailay Weldegiorgis Berhe Ethiopia
Cameron J. Browne United States
Robert Barrais France
Benoit Kebela Democratic Republic of the Congo
Chrispin Owaga Kenya
Harry Hamapumbu United States
Shu Liao relative to Suzanne L. Robertson United States Suzanne L. Robertson's profile →
Citations per field
00.5×3.4×
Suzanne L. Robertson · 1×
Citations per year

Countries citing papers authored by Shu Liao

Since Specialization
Citations

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

Fields of papers citing papers by Shu Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Liao

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2
Resveratrol reduces liver endoplasmic reticulum stress and improves insulin sensitivity in vivo and in vitro
2
3 1
4 9
5 2
6 12
7 77
8 27
9 61
10 318

About Shu Liao

Shu Liao is a scholar working on Modeling and Simulation, Endocrinology and Geriatrics and Gerontology, having authored 10 papers that have together received 510 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), COVID-19 epidemiological studies (6 papers) and Fractional Differential Equations Solutions (3 papers). The work is most often cited by research in Modeling and Simulation (386 citations), Endocrinology (247 citations) and Public Health, Environmental and Occupational Health (353 citations). Shu Liao has collaborated with scholars based in China, United States and Ghana. Frequent co-authors include Jin Wang, Holly Gaff, David L. Smith, Zindoga Mukandavire, J. Glenn Morris, Jin Wang, Jin Wang, Fang Fang, Yufeng Zhang and Huan Zhao. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Chaos Solitons & Fractals.

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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