Sheng Yao

977 total citations
45 papers, 727 citations indexed

About

Sheng Yao is a scholar working on Surgery, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine. According to data from OpenAlex, Sheng Yao has authored 45 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Surgery, 8 papers in Public Health, Environmental and Occupational Health and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Sheng Yao's work include Pelvic and Acetabular Injuries (11 papers), Hip and Femur Fractures (10 papers) and Tissue Engineering and Regenerative Medicine (7 papers). Sheng Yao is often cited by papers focused on Pelvic and Acetabular Injuries (11 papers), Hip and Femur Fractures (10 papers) and Tissue Engineering and Regenerative Medicine (7 papers). Sheng Yao collaborates with scholars based in China, United States and United Kingdom. Sheng Yao's co-authors include Xiaodong Guo, Kaifang Chen, Tingfang Sun, Zekang Xiong, Fengzhao Zhu, Yanhui Ji, Fan Yang, Jinge Zhou, Lian Zeng and Zubing Li and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of Bone and Joint Surgery.

In The Last Decade

Sheng Yao

42 papers receiving 710 citations

Peers

Sheng Yao
Comparison fields: 5 of 90
  • Surgery 429
  • Biomedical Engineering 178
  • Biomaterials 119
  • Pathology and Forensic Medicine 104
  • Molecular Biology 89
Replace Emily Petersen with:
Emily Petersen United States
Janet D. Conway United States
P. Humbert France
Kathy Traianedes Australia
Maryam Salimi Iran
Mersedeh Tohidnezhad Germany
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Pavlos Katonis Greece
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Emily Petersen United States View profile →
Citations per field, relative to Sheng Yao
Sheng Yao · 1×
Citations per year, relative to Sheng Yao
Sheng Yao · 1×

Countries citing papers authored by Sheng Yao

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Yao. A scholar is included among the top collaborators of Sheng Yao 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 Sheng Yao. Sheng Yao 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 4
2 3
3 3
4 6
5 18
6
Estimating the Prevalence and Mortality of Coronavirus Disease 2019 (COVID-19) in the USA, the UK, Russia, and India
0
7 11
8 22
9 37
10 46
11 13
12 16
13 8
14 45
15 9
16 38
17 20
18 24
19 32
20 29

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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