Lin Tan

8.3k total citations · 2 hit papers
85 papers, 4.6k citations indexed

About

Lin Tan is a scholar working on Physiology, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Lin Tan has authored 85 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Physiology, 28 papers in Molecular Biology and 22 papers in Psychiatry and Mental health. Recurrent topics in Lin Tan's work include Alzheimer's disease research and treatments (39 papers), Dementia and Cognitive Impairment Research (20 papers) and Neuroinflammation and Neurodegeneration Mechanisms (11 papers). Lin Tan is often cited by papers focused on Alzheimer's disease research and treatments (39 papers), Dementia and Cognitive Impairment Research (20 papers) and Neuroinflammation and Neurodegeneration Mechanisms (11 papers). Lin Tan collaborates with scholars based in China, United States and Japan. Lin Tan's co-authors include Lan Tan, Jin‐Tai Yu, Meng‐Shan Tan, Hui-Fu Wang, Teng Jiang, Wei Xu, Qing‐Fei Zhao, Jieqiong Li, Nan Hu and Jun Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Lin Tan

83 papers receiving 4.5k citations

Hit Papers

The prevalence of neuropsychiatric symptoms in Alzheimer'... 2015 2026 2018 2022 2015 2015 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
Lin Tan China 31 1.6k 1.5k 1.2k 836 831 85 4.6k
Chen‐Chen Tan China 31 1.6k 1.0× 1.0k 0.7× 1.4k 1.2× 820 1.0× 290 0.3× 115 4.6k
Mark Mapstone United States 34 1.2k 0.8× 1.5k 1.0× 1.2k 1.0× 496 0.6× 314 0.4× 103 4.6k
Simone Lista France 40 2.5k 1.6× 1.4k 0.9× 1.6k 1.4× 771 0.9× 192 0.2× 126 4.7k
Maria Bjerke Belgium 32 2.2k 1.4× 1.2k 0.8× 1.8k 1.5× 872 1.0× 193 0.2× 79 4.2k
Junjian Zhang China 34 772 0.5× 905 0.6× 413 0.4× 1.1k 1.3× 374 0.5× 132 4.0k
Longfei Jia China 27 856 0.5× 1.1k 0.7× 564 0.5× 582 0.7× 424 0.5× 78 2.8k
Madhav Thambisetty United States 43 3.4k 2.1× 2.8k 1.8× 1.3k 1.1× 917 1.1× 174 0.2× 115 6.7k
Yifeng Du China 27 896 0.6× 952 0.6× 617 0.5× 520 0.6× 327 0.4× 147 3.2k
Juan Fortea Spain 42 2.3k 1.4× 1.0k 0.7× 1.6k 1.4× 789 0.9× 199 0.2× 205 5.0k
Seol‐Heui Han South Korea 38 1.6k 1.0× 1.1k 0.7× 1.3k 1.2× 1.0k 1.2× 161 0.2× 185 5.5k

Countries citing papers authored by Lin Tan

Since Specialization
Citations

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

Fields of papers citing papers by Lin Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Tan. A scholar is included among the top collaborators of Lin Tan 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 Lin Tan. Lin Tan 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
3.
Wang, Zhe, Lin Tan, Yu Zong, et al.. (2023). sTREM2 and GFAP Mediated the Association of IGF-1 Signaling Biomarkers with Alzheimer’s Disease Pathology. Journal of Alzheimer s Disease. 92(3). 791–797. 5 indexed citations
4.
Hu, Hao, Lan Tan, Yanlin Bi, et al.. (2021). Association between methylation of BIN1 promoter in peripheral blood and preclinical Alzheimer’s disease. Translational Psychiatry. 11(1). 89–89. 14 indexed citations
5.
Zhang, Ting, Xiao‐He Hou, Ya‐Nan Ou, et al.. (2021). Associations of Vascular Risk with Cognition, Brain Glucose Metabolism, and Clinical Progression in Cognitively Intact Elders. Journal of Alzheimer s Disease. 80(1). 321–330. 8 indexed citations
6.
Wang, Xiaofeng, Hao Hu, Yi Qu, et al.. (2021). Association of Subjective Cognitive Decline with Risk of Cognitive Impairment and Dementia: A Systematic Review and Meta-Analysis of Prospective Longitudinal Studies. The Journal of Prevention of Alzheimer s Disease. 8(3). 277–285. 24 indexed citations
7.
Ou, Ya‐Nan, et al.. (2021). Cerebrospinal fluid heart fatty acid‐binding protein as a predictive biomarker of neurodegeneration in Alzheimer’s disease. SHILAP Revista de lepidopterología. 7(1). 44–55. 1 indexed citations
8.
Sun, Yan, Lin Tan, Wei Xu, et al.. (2020). Plasma Neurofilament Light and Longitudinal Progression of White Matter Hyperintensity in Elderly Persons Without Dementia. Journal of Alzheimer s Disease. 75(3). 729–737. 21 indexed citations
9.
Wang, Zuo-Teng, Wei Xu, Hui-Fu Wang, et al.. (2018). Blood Pressure and the Risk of Dementia: A Dose-Response Meta-Analysis of Prospective Studies. Current Neurovascular Research. 15(4). 345–358. 9 indexed citations
10.
Gao, Yu, Lin Tan, Jin‐Tai Yu, & Lan Tan. (2018). Tau in Alzheimer's Disease: Mechanisms and Therapeutic Strategies. Current Alzheimer Research. 15(3). 283–300. 232 indexed citations
11.
Zong, Yu, et al.. (2018). Microglial priming in Alzheimer’s disease. Annals of Translational Medicine. 6(10). 176–176. 87 indexed citations
12.
Zhao, Qing‐Fei, Lan Tan, Hui-Fu Wang, et al.. (2015). The prevalence of neuropsychiatric symptoms in Alzheimer's disease: Systematic review and meta-analysis. Journal of Affective Disorders. 190. 264–271. 591 indexed citations breakdown →
13.
Sun, Jiahao, Lan Tan, Hui-Fu Wang, et al.. (2015). Genetics of Vascular Dementia: Systematic Review and Meta-Analysis. Journal of Alzheimer s Disease. 46(3). 611–629. 57 indexed citations
14.
Wang, Jun, Lan Tan, Lin Tan, et al.. (2015). Circulating microRNAs are promising novel biomarkers for drug-resistant epilepsy. Scientific Reports. 5(1). 10201–10201. 108 indexed citations
15.
Wang, Jun, Jin‐Tai Yu, Teng Jiang, et al.. (2014). Association of LRRTM3 polymorphisms with late-onset Alzheimer's disease in Han Chinese. Experimental Gerontology. 52. 18–22. 11 indexed citations
16.
Hu, Nan, Meng‐Shan Tan, Lei Sun, et al.. (2014). Decreased expression of CD33 in peripheral mononuclear cells of Alzheimer's disease patients. Neuroscience Letters. 563. 51–54. 16 indexed citations
17.
Tan, Lin, Jin‐Tai Yu, & Lan Tan. (2014). Causes and Consequences of MicroRNA Dysregulation in Neurodegenerative Diseases. Molecular Neurobiology. 51(3). 1249–1262. 108 indexed citations
18.
Sun, Zhen, Jin‐Tai Yu, Teng Jiang, et al.. (2013). Genome-Wide microRNA Profiling of Rat Hippocampus after Status Epilepticus Induced by Amygdala Stimulation Identifies Modulators of Neuronal Apoptosis. PLoS ONE. 8(10). e78375–e78375. 31 indexed citations
19.
Hu, Nan, Jin‐Tai Yu, Lin Tan, et al.. (2013). Nutrition and the Risk of Alzheimer's Disease. BioMed Research International. 2013. 1–12. 154 indexed citations
20.
Tan, Lin. (2011). Meta-analysis of fat mass and obesity associated gene rs9939609 polymorphism and childhood overweight and obesity. Zhonghua linchuang yishi zazhi. 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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