Qijie Yang

705 total citations · 1 hit paper
27 papers, 339 citations indexed

About

Qijie Yang is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Qijie Yang has authored 27 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 7 papers in Molecular Biology and 7 papers in Neurology. Recurrent topics in Qijie Yang's work include Alzheimer's disease research and treatments (13 papers), Dementia and Cognitive Impairment Research (6 papers) and Neurological Disease Mechanisms and Treatments (3 papers). Qijie Yang is often cited by papers focused on Alzheimer's disease research and treatments (13 papers), Dementia and Cognitive Impairment Research (6 papers) and Neurological Disease Mechanisms and Treatments (3 papers). Qijie Yang collaborates with scholars based in China, United States and Australia. Qijie Yang's co-authors include Bin Jiao, Lu Shen, Xuewen Xiao, Xinxin Liao, Yuan Zhu, Yafang Zhou, Junling Wang, Beisha Tang, Sizhe Zhang and Lu Zhou and has published in prestigious journals such as Journal of Applied Ecology, European Journal of Neuroscience and Neurobiology of Aging.

In The Last Decade

Qijie Yang

26 papers receiving 332 citations

Hit Papers

Neural biomarker diagnosis and prediction to mild cogniti... 2023 2026 2024 2025 2023 25 50 75

Peers

Qijie Yang
Qijie Yang
Citations per year, relative to Qijie Yang Qijie Yang (= 1×) peers Shih‐Pin Hsu

Countries citing papers authored by Qijie Yang

Since Specialization
Citations

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

Fields of papers citing papers by Qijie Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qijie Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Qijie Yang. A scholar is included among the top collaborators of Qijie Yang 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 Qijie Yang. Qijie Yang 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
1.
Zhang, Sizhe, Haokun Liu, Qijie Yang, et al.. (2025). Accurate Diagnosis of Alzheimer’s Disease Using Specific Breath Volatile Organic Compounds. ACS Sensors. 10(4). 2699–2711.
2.
Jiao, Bin, Qijie Yang, Yuan Zhu, et al.. (2025). Development and validation of machine learning models with blood-based digital biomarkers for Alzheimer’s disease diagnosis: a multicohort diagnostic study. EClinicalMedicine. 81. 103142–103142. 5 indexed citations
3.
Jiao, Bin, Qijie Yang, Sizhe Zhang, et al.. (2025). Evaluating the diagnostic performance of six plasma biomarkers for Alzheimer’s disease and other neurodegenerative dementias in a large Chinese cohort. Alzheimer s Research & Therapy. 17(1). 71–71. 2 indexed citations
4.
Weng, Ling, Cong Zhang, Xuewen Xiao, et al.. (2024). Genetic spectrum features and diagnostic accuracy of four plasma biomarkers in 248 Chinese patients with frontotemporal dementia. Alzheimer s & Dementia. 20(10). 7281–7295. 3 indexed citations
5.
Liu, Yiliang, Xuewen Xiao, Rui Yao, et al.. (2024). The risk of Alzheimer's disease and cognitive impairment characteristics in eight mental disorders: A UK Biobank observational study and Mendelian randomization analysis. Alzheimer s & Dementia. 20(7). 4841–4853. 16 indexed citations
6.
Yang, Qijie, Bin Jiao, Weiwei Zhang, et al.. (2023). Clinical features of progressive supranuclear palsy. Frontiers in Aging Neuroscience. 15. 1229491–1229491. 5 indexed citations
7.
Jiao, Bin, Rihui Li, Hui Zhou, et al.. (2023). Neural biomarker diagnosis and prediction to mild cognitive impairment and Alzheimer’s disease using EEG technology. Alzheimer s Research & Therapy. 15(1). 32–32. 81 indexed citations breakdown →
8.
Jiao, Bin, Sizhe Zhang, Yuan Li, et al.. (2023). A detection model for cognitive dysfunction based on volatile organic compounds from a large Chinese community cohort. Alzheimer s & Dementia. 19(11). 4852–4862. 14 indexed citations
9.
Liu, Xixi, Yaling Jiang, Bin Jiao, et al.. (2023). Brain-derived extracellular vesicles promote bone-fat imbalance in Alzheimer's disease. International Journal of Biological Sciences. 19(8). 2409–2427. 23 indexed citations
10.
Li, Yuan, Lu Zhou, Qijie Yang, et al.. (2023). The prevalence and risk factors study of cognitive impairment: Analysis of the elderly population of Han nationality in Hunan province, China. CNS Neuroscience & Therapeutics. 30(4). e14478–e14478. 10 indexed citations
11.
Yang, Xuan, Qijie Yang, Yuan Zhu, et al.. (2023). A detection model of cognitive impairment via the integrated gait and eye movement analysis from a large Chinese community cohort. Alzheimer s & Dementia. 20(2). 1089–1101. 30 indexed citations
12.
Xiao, Xuewen, Hui Liu, Lu Zhou, et al.. (2022). The associations of APP, PSEN1, and PSEN2 genes with Alzheimer's disease: A large case–control study in Chinese population. CNS Neuroscience & Therapeutics. 29(1). 122–128. 5 indexed citations
13.
Liu, Yingzi, Xuewen Xiao, Hui Liu, et al.. (2022). Clinical characteristics and genotype-phenotype correlation analysis of familial Alzheimer’s disease patients with pathogenic/likely pathogenic amyloid protein precursor mutations. Frontiers in Aging Neuroscience. 14. 1013295–1013295. 4 indexed citations
14.
Xiao, Xuewen, Xinxin Liao, Yafang Zhou, et al.. (2022). Variants in the Niemann-pick type C genes are not associated with Alzheimer's disease: a large case-control study in the Chinese population. Neurobiology of Aging. 116. 49–54. 2 indexed citations
15.
Yang, Qijie, Jian Li, Bin Jiao, & Ling Weng. (2022). Primary familial brain calcification in a patient with a novel compound heterozygous mutation in MYORG presenting with an acute ischemic stroke: a case report. Annals of Translational Medicine. 10(7). 423–423. 5 indexed citations
16.
Jiao, Bin, Hui Liu, Lina Guo, et al.. (2021). The role of genetics in neurodegenerative dementia: a large cohort study in South China. npj Genomic Medicine. 6(1). 69–69. 17 indexed citations
17.
Jiao, Bin, Hui Liu, Lina Guo, et al.. (2021). Performance of Plasma Amyloid β, Total Tau, and Neurofilament Light Chain in the Identification of Probable Alzheimer's Disease in South China. Frontiers in Aging Neuroscience. 13. 749649–749649. 16 indexed citations
18.
Jiao, Bin, Ling Weng, Yafang Zhou, et al.. (2020). Lack of association between LGMN and Alzheimer’s disease in the Southern Han Chinese population. European Journal of Neuroscience. 52(8). 4009–4017. 5 indexed citations
19.
Yang, Qijie, Xuewen Xiao, Zhenhua Yuan, et al.. (2020). Expansion of the phenotypic spectrum of X-linked Charcot-Marie-Tooth (CMT) disease. Journal of Clinical Neuroscience. 73. 311–313. 1 indexed citations
20.
Yang, Qijie, Bin Jiao, & Lu Shen. (2020). The Development of C9orf72-Related Amyotrophic Lateral Sclerosis and Frontotemporal Dementia Disorders. Frontiers in Genetics. 11. 562758–562758. 30 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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