Xiaoqing Jin

566 total citations · 1 hit paper
10 papers, 408 citations indexed

About

Xiaoqing Jin is a scholar working on Psychiatry and Mental health, General Health Professions and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Xiaoqing Jin has authored 10 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Psychiatry and Mental health, 6 papers in General Health Professions and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Xiaoqing Jin's work include Dementia and Cognitive Impairment Research (7 papers), Geriatric Care and Nursing Homes (2 papers) and Aging, Elder Care, and Social Issues (2 papers). Xiaoqing Jin is often cited by papers focused on Dementia and Cognitive Impairment Research (7 papers), Geriatric Care and Nursing Homes (2 papers) and Aging, Elder Care, and Social Issues (2 papers). Xiaoqing Jin collaborates with scholars based in China and South Korea. Xiaoqing Jin's co-authors include Pinpin Zheng, Haibin Wu, Wei Yu, Jing Yan, Yang Li, Xiaoling Xu, Shiyun Hu, Jin Yu, Jing Yan and Li Yang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Medicine.

In The Last Decade

Xiaoqing Jin

10 papers receiving 396 citations

Hit Papers

Study of cardiovascular disease prediction model based on... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoqing Jin China 8 107 71 68 54 50 10 408
Vivienne J. Zhu United States 13 45 0.4× 90 1.3× 74 1.1× 97 1.8× 71 1.4× 24 784
Ghazaleh Fatemifar United Kingdom 9 48 0.4× 38 0.5× 96 1.4× 46 0.9× 30 0.6× 12 443
Norm Good Australia 15 110 1.0× 27 0.4× 73 1.1× 40 0.7× 130 2.6× 43 760
Magda Bucholc United Kingdom 14 108 1.0× 54 0.8× 32 0.5× 114 2.1× 13 0.3× 47 547
François Gueyffier France 12 126 1.2× 26 0.4× 68 1.0× 31 0.6× 18 0.4× 32 533
Ljiljana Trtica Majnarić Croatia 14 32 0.3× 35 0.5× 31 0.5× 80 1.5× 38 0.8× 58 538
Rupa Makadia United States 7 28 0.3× 69 1.0× 81 1.2× 123 2.3× 37 0.7× 12 598
Jennifer H. Garvin United States 14 32 0.3× 108 1.5× 73 1.1× 177 3.3× 96 1.9× 58 592
Louis Ehwerhemuepha United States 14 25 0.2× 31 0.4× 189 2.8× 98 1.8× 49 1.0× 63 713

Countries citing papers authored by Xiaoqing Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoqing Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoqing Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoqing Jin. A scholar is included among the top collaborators of Xiaoqing Jin 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 Xiaoqing Jin. Xiaoqing Jin 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
1.
Jin, Yuanyuan, et al.. (2023). Exploration of acupuncture therapy in the treatment of MCI patients with the ApoE ε4 gene based on the brain-gut axis theory. BMC Complementary Medicine and Therapies. 23(1). 227–227. 2 indexed citations
3.
Li, Yang, Haibin Wu, Xiaoqing Jin, et al.. (2020). Study of cardiovascular disease prediction model based on random forest in eastern China. Scientific Reports. 10(1). 5245–5245. 232 indexed citations breakdown →
4.
Yang, Li, Xiaoqing Jin, Xinhua Tang, et al.. (2019). Effects of a comprehensive intervention on hypertension control in Chinese employees working in universities based on mixed models. Scientific Reports. 9(1). 19187–19187. 2 indexed citations
5.
Chen, Linhui, et al.. (2019). Effects of age and education on clock-drawing performance by elderly adults in China. The Clinical Neuropsychologist. 33(sup1). 96–105. 9 indexed citations
6.
Li, Yang, Xiaoqing Jin, Jing Yan, et al.. (2019). Comparison of prevalence and associated risk factors of cognitive function status among elderly between nursing homes and common communities of China. Medicine. 98(49). e18248–e18248. 22 indexed citations
7.
Yang, Li, Jing Yan, Xiaoqing Jin, et al.. (2017). Estimation of diagnostic performance of dementia screening tests: Mini-Mental State Examination, Mini-Cog, Clock Drawing test and Ascertain Dementia 8 questionnaire. Aging & Mental Health. 22(8). 948–952. 17 indexed citations
8.
Jin, Xiaoqing, et al.. (2017). Investigating the Prevalence of Dementia and Its Associated Risk Factors in a Chinese Nursing Home. Journal of Clinical Neurology. 13(1). 10–10. 25 indexed citations
9.
Yang, Li, Xiaoqing Jin, Jing Yan, et al.. (2016). Prevalence of dementia, cognitive status and associated risk factors among elderly of Zhejiang province, China in 2014. Age and Ageing. 45(5). 707–710. 48 indexed citations
10.
Yang, Li, Jing Yan, Xiaoqing Jin, et al.. (2016). Screening for Dementia in Older Adults: Comparison of Mini-Mental State Examination, Mini-Cog, Clock Drawing Test and AD8. PLoS ONE. 11(12). e0168949–e0168949. 38 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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