Guiqing Yao

470 citations
8 papers · 234 indexed · h-index 6
Topics
Health Promotion and Cardiovascular Prevention (2 papers)Genetic Neurodegenerative Diseases (2 papers)Statistical Methods and Bayesian Inference (1 paper)
Partner nations
United Kingdom

In The Last Decade

Guiqing Yao

8 papers receiving 227 citations

Peers

Guiqing Yao
Comparison fields: 5 of 75
  • General Health Professions 69
  • Clinical Psychology 45
  • Neurology 36
  • Cellular and Molecular Neuroscience 30
  • Applied Psychology 30
Replace H P Ferrer with:
H P Ferrer United States
Francesco Lavano Italy
Xiaoning Zhang China
Annette Rogge Germany
Élise Riquin France
Megan Williamson United States
Daniela Benzano Brazil
Lindsey Riley United States
Zayan Mahmooth United States
Silke Feller Germany
Guiqing Yao relative to H P Ferrer United States H P Ferrer's profile →
Citations per field
00.5×12×
H P Ferrer · 1×
Citations per year

Countries citing papers authored by Guiqing Yao

Since Specialization
Citations

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

Fields of papers citing papers by Guiqing Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guiqing Yao

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 75
2
UK Parkinson’s Disease Society Brain Bank Diagnostic Criteria
15
3 82
4 17
5 18
6 25
7
Cost effectiveness of nurse led secondary prevention clinics for coronary heart disease in primary care: follow up of a randomised controlled trial
1
8 1

About Guiqing Yao

Guiqing Yao is a scholar working on Otorhinolaryngology, Pharmacy and Emergency Medical Services, having authored 8 papers that have together received 234 indexed citations. Recurring topics across this work include Health Promotion and Cardiovascular Prevention (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (14 citations), Applied Psychology (30 citations) and Pharmacy (29 citations). Guiqing Yao has collaborated with scholars based in United Kingdom. Frequent co-authors include Paul Little, James Raftery, Lucy Yardley, Richard Hobbs, Michael Moore, Beth Stuart, Catherine Sackley, Ian Williamson, Helen Stokes-Lampard and Hardev Pall. Their work appears in journals such as The Lancet, The Lancet Diabetes & Endocrinology and Health Technology Assessment.

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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