Qi Qin

3.7k total citations · 2 hit papers
38 papers, 1.3k citations indexed

About

Qi Qin is a scholar working on Neurology, Physiology and Psychiatry and Mental health. According to data from OpenAlex, Qi Qin has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 13 papers in Physiology and 10 papers in Psychiatry and Mental health. Recurrent topics in Qi Qin's work include Alzheimer's disease research and treatments (13 papers), Neurological Disease Mechanisms and Treatments (10 papers) and Dementia and Cognitive Impairment Research (10 papers). Qi Qin is often cited by papers focused on Alzheimer's disease research and treatments (13 papers), Neurological Disease Mechanisms and Treatments (10 papers) and Dementia and Cognitive Impairment Research (10 papers). Qi Qin collaborates with scholars based in China, United States and Canada. Qi Qin's co-authors include Yi Tang, Yunsi Yin, Jianping Jia, Tan Zhao, Meina Quan, Fen Wang, Cuibai Wei, Yan‐Jiang Wang, Yue Fu and Li Y and has published in prestigious journals such as The Lancet Neurology, Neuroscience and Progress in Neurobiology.

In The Last Decade

Qi Qin

35 papers receiving 1.3k citations

Hit Papers

Dementia in China: epidemiology, clinical management, and... 2019 2026 2021 2023 2019 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi Qin China 14 347 332 324 277 137 38 1.3k
Jiewen Zhang China 19 466 1.3× 439 1.3× 376 1.2× 636 2.3× 75 0.5× 87 2.0k
Ya-Ru Zhang China 24 453 1.3× 353 1.1× 346 1.1× 333 1.2× 62 0.5× 74 1.6k
Ya‐Hui Ma China 23 629 1.8× 398 1.2× 580 1.8× 318 1.1× 98 0.7× 94 2.2k
Yuriko Katsumata United States 21 583 1.7× 244 0.7× 413 1.3× 218 0.8× 52 0.4× 78 1.3k
Kota Sato Japan 25 356 1.0× 341 1.0× 277 0.9× 567 2.0× 62 0.5× 166 2.0k
Yue Fu China 17 195 0.6× 127 0.4× 268 0.8× 328 1.2× 68 0.5× 48 1.2k
Margaret E. Flanagan United States 16 268 0.8× 151 0.5× 212 0.7× 255 0.9× 52 0.4× 60 935
Gerard Piñol‐Ripoll Spain 24 467 1.3× 177 0.5× 320 1.0× 373 1.3× 52 0.4× 88 1.7k
Vincent Chouraki France 10 475 1.4× 182 0.5× 548 1.7× 248 0.9× 38 0.3× 20 1.4k
Akinori Takeda Japan 18 512 1.5× 173 0.5× 221 0.7× 237 0.9× 57 0.4× 78 1.3k

Countries citing papers authored by Qi Qin

Since Specialization
Citations

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

Fields of papers citing papers by Qi Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Qin. A scholar is included among the top collaborators of Qi Qin 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 Qi Qin. Qi Qin 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
2.
Wang, Yan, Fangyu Li, Qi Qin, et al.. (2025). Influence of APOE ε4 on performance of CSF biomarkers in differentiating clinical Alzheimer's disease. The Journal of Prevention of Alzheimer s Disease. 12(4). 100065–100065. 1 indexed citations
3.
Yin, Yunsi, Xinyi Xia, Jiahao Chen, et al.. (2025). Regulation of synaptic function and lipid metabolism. Neural Regeneration Research. 21(3). 1037–1057. 1 indexed citations
4.
Qin, Qi, et al.. (2025). Blood biomarkers of amyloid and tau pathologies, brain degeneration, inflammation, and oxidative stress in early- and late-onset Alzheimer's disease. Journal of Alzheimer s Disease. 108(1_suppl). S28–S41. 1 indexed citations
5.
Yin, Yunsi, Xinyi Xia, Ping Gong, et al.. (2025). The role of TREM2 in myelin sheath dynamics: A comprehensive perspective from physiology to pathology. Progress in Neurobiology. 247. 102732–102732. 3 indexed citations
6.
Wang, Linxiao, Zhouling Xie, Qi Qin, et al.. (2024). In silico method and bioactivity evaluation to discover novel antimicrobial agents targeting FtsZ protein: Machine learning, virtual screening and antibacterial mechanism study. Naunyn-Schmiedeberg s Archives of Pharmacology. 398(1). 601–616.
7.
Qin, Qi, et al.. (2023). Crosstalk between peripheral immunity and central nervous system in Alzheimer’s disease. Cellular Immunology. 391-392. 104743–104743. 2 indexed citations
8.
Wang, Meng, Ruiyang Li, Yunsi Yin, et al.. (2023). Integrative Metabolomics and Whole Transcriptome Sequencing Reveal Role for TREM2 in Metabolism Homeostasis in Alzheimer’s Disease. Molecular Neurobiology. 61(7). 4188–4202. 3 indexed citations
9.
Qin, Qi, Yunsi Yin, Ying Liang, et al.. (2023). Unsupervised machine learning model to predict cognitive impairment in subcortical ischemic vascular disease. Alzheimer s & Dementia. 19(8). 3327–3338. 11 indexed citations
10.
Xia, Xinyi, et al.. (2023). Plasma Phosphorylated Tau181 and Amyloid-β42 in Dementia with Lewy Bodies Compared with Alzheimer’s Disease and Cognitively Healthy People. Journal of Alzheimer s Disease. 95(1). 161–169. 1 indexed citations
11.
Chu, Changbiao, et al.. (2023). Lipid metabolism and oxidative stress in patients with Alzheimer's disease and amnestic mild cognitive impairment. Brain Pathology. 34(1). e13202–e13202. 32 indexed citations
12.
Qin, Qi & Yi Tang. (2023). Lecanemab: the game changer in the ongoing fight to treat Alzheimer’s disease?. 2(1). 3 indexed citations
13.
Qin, Qi, et al.. (2022). TREM2 in the pathogenesis of AD: a lipid metabolism regulator and potential metabolic therapeutic target. Molecular Neurodegeneration. 17(1). 40–40. 126 indexed citations
14.
Qin, Qi, Liping Fu, Ruimin Wang, et al.. (2021). Prominent Striatum Amyloid Retention in Early-Onset Familial Alzheimer's Disease With PSEN1 Mutations: A Pilot PET/MR Study. Frontiers in Aging Neuroscience. 13. 732159–732159. 4 indexed citations
15.
Qin, Qi, Zhao‐Qian Teng, Chang‐Mei Liu, et al.. (2021). TREM2, microglia, and Alzheimer’s disease. Mechanisms of Ageing and Development. 195. 111438–111438. 135 indexed citations
16.
Qin, Qi, Yunsi Yin, Yi Xing, et al.. (2021). Lipid Metabolism in the Development and Progression of Vascular Cognitive Impairment: A Systematic Review. Frontiers in Neurology. 12. 709134–709134. 11 indexed citations
17.
Zhao, Jimeng, Yanan Liu, Yan Huang, et al.. (2019). Effect of Herb-Partitioned Moxibustion on Autophagy and Immune-Associated Gene Expression Profiles in a Rat Model of Crohn’s Disease. Evidence-based Complementary and Alternative Medicine. 2019. 1–13. 10 indexed citations
18.
Wei, Cuibai, Qi Qin, Fei Chen, et al.. (2019). Adult-onset vanishing white matter disease with the EIF2B2 gene mutation presenting as menometrorrhagia. BMC Neurology. 19(1). 203–203. 11 indexed citations
19.
Jia, Longfei, Meina Quan, Yue Fu, et al.. (2019). Dementia in China: epidemiology, clinical management, and research advances. The Lancet Neurology. 19(1). 81–92. 576 indexed citations breakdown →
20.
Shao, Kang, et al.. (2017). Clinical and genetic characterization of hereditary breast cancer in a Chinese population. Hereditary Cancer in Clinical Practice. 15(1). 19–19. 16 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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