Guiqing Yao

470 total citations
8 papers, 234 citations indexed

About

Guiqing Yao is a scholar working on Cellular and Molecular Neuroscience, Neurology and Clinical Psychology. According to data from OpenAlex, Guiqing Yao has authored 8 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cellular and Molecular Neuroscience, 2 papers in Neurology and 2 papers in Clinical Psychology. Recurrent topics in Guiqing Yao's work include Health Promotion and Cardiovascular Prevention (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Statistical Methods and Bayesian Inference (1 paper). Guiqing Yao is often cited by papers focused on Health Promotion and Cardiovascular Prevention (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Statistical Methods and Bayesian Inference (1 paper). Guiqing Yao collaborates with scholars based in United Kingdom. Guiqing Yao's co-authors include James Raftery, Paul Little, Beth Stuart, Michael Moore, Lucy Yardley, Richard Hobbs, Catherine Sackley, Ian Williamson, Hardev Pall and Douglas Fleming and has published in prestigious journals such as The Lancet, The Lancet Diabetes & Endocrinology and Health Technology Assessment.

In The Last Decade

Guiqing Yao

8 papers receiving 227 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Guiqing Yao United Kingdom	6	69	45	36	30	30	8	234
Xiaoning Zhang China	10	65 0.9×	90 2.0×	45 1.3×	33 1.1×	9 0.3×	28	324
Daniela Benzano Brazil	12	56 0.8×	122 2.7×	12 0.3×	21 0.7×	15 0.5×	26	443
Francesco Lavano Italy	7	52 0.8×	39 0.9×	14 0.4×	6 0.2×	6 0.2×	11	223
Zayan Mahmooth United States	8	97 1.4×	125 2.8×	74 2.1×	6 0.2×	24 0.8×	15	346
Megan Williamson United States	10	23 0.3×	49 1.1×	46 1.3×	20 0.7×	16 0.5×	19	267
Annette Rogge Germany	10	79 1.1×	40 0.9×	52 1.4×	10 0.3×	5 0.2×	29	233
Lindsey Riley United States	12	147 2.1×	35 0.8×	132 3.7×	16 0.5×	8 0.3×	16	451
Jade Dell United States	10	28 0.4×	32 0.7×	46 1.3×	14 0.5×	5 0.2×	11	290
Élise Riquin France	11	28 0.4×	122 2.7×	30 0.8×	9 0.3×	6 0.2×	37	282
Una Jones United Kingdom	7	73 1.1×	21 0.5×	23 0.6×	12 0.4×	43 1.4×	24	242

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

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8 of 8 papers shown

Little, Paul, Beth Stuart, Richard Hobbs, et al.. (2016). An internet-based intervention with brief nurse support to manage obesity in primary care (POWeR+): a pragmatic, parallel-group, randomised controlled trial. The Lancet Diabetes & Endocrinology. 4(10). 821–828. 75 indexed citations

Clarke, Carl E, Smitaa Patel, Natalie Ives, et al.. (2016). UK Parkinson’s Disease Society Brain Bank Diagnostic Criteria. 15 indexed citations

Williamson, Ian, Jane Vennik, Anthony Harnden, et al.. (2015). An open randomised study of autoinflation in 4- to 11-year-old school children with otitis media with effusion in primary care. Health Technology Assessment. 19(72). 1–150. 17 indexed citations

Little, Paul, Beth Stuart, Richard Hobbs, et al.. (2015). An internet-delivered handwashing intervention to modify influenza-like illness and respiratory infection transmission (PRIMIT): a primary care randomised trial. The Lancet. 386(10004). 1631–1639. 82 indexed citations

Sackley, Catherine, Thomas Hoppitt, Melanie Calvert, et al.. (2011). Huntington’s Disease: Current Epidemiology and Pharmacological Management in UK Primary Care. Neuroepidemiology. 37(3-4). 216–221. 18 indexed citations

Hoppitt, Thomas, Hardev Pall, Melanie Calvert, et al.. (2010). A Systematic Review of the Incidence and Prevalence of Long-Term Neurological Conditions in the UK. Neuroepidemiology. 36(1). 19–28. 25 indexed citations

Raftery, James, Guiqing Yao, Peter Murchie, Neil Campbell, & Lewis Ritchie. (2005). Cost effectiveness of nurse led secondary prevention clinics for coronary heart disease in primary care: follow up of a randomised controlled trial. Europe PMC (PubMed Central). 91(9). 1222–1222. 1 indexed citations

Copas, Andrew, Vernon T. Farewell, Catherine H Mercer, & Guiqing Yao. (2004). The Sensitivity of Estimates of the Change in Population Behaviour to Realistic Changes in Bias in Repeated Surveys. Journal of the Royal Statistical Society Series A (Statistics in Society). 167(4). 579–595. 1 indexed citations

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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