Lan Tan

36.6k total citations · 9 hit papers
564 papers, 24.2k citations indexed

About

Lan Tan is a scholar working on Physiology, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Lan Tan has authored 564 papers receiving a total of 24.2k indexed citations (citations by other indexed papers that have themselves been cited), including 299 papers in Physiology, 176 papers in Psychiatry and Mental health and 132 papers in Molecular Biology. Recurrent topics in Lan Tan's work include Alzheimer's disease research and treatments (259 papers), Dementia and Cognitive Impairment Research (160 papers) and Neuroinflammation and Neurodegeneration Mechanisms (72 papers). Lan Tan is often cited by papers focused on Alzheimer's disease research and treatments (259 papers), Dementia and Cognitive Impairment Research (160 papers) and Neuroinflammation and Neurodegeneration Mechanisms (72 papers). Lan Tan collaborates with scholars based in China, United States and United Kingdom. Lan Tan's co-authors include Jin‐Tai Yu, Meng‐Shan Tan, Teng Jiang, Hui-Fu Wang, Wei Xu, Lin Tan, Chen‐Chen Tan, Xi‐Peng Cao, Xi‐Chen Zhu and Wenying Wang and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Lan Tan

545 papers receiving 23.9k citations

Hit Papers

Role of pro-inflammatory ... 2014 2026 2018 2022 2015 2015 2014 2021 2015 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lan Tan 9.3k 6.6k 5.5k 5.1k 2.4k 564 24.2k
Jin‐Tai Yu 8.9k 1.0× 7.2k 1.1× 5.3k 1.0× 4.7k 0.9× 2.6k 1.1× 454 23.8k
Suzanne Craft 12.8k 1.4× 5.9k 0.9× 4.7k 0.9× 4.5k 0.9× 1.8k 0.7× 337 27.9k
Peter Paul De Deyn 6.5k 0.7× 5.5k 0.8× 4.1k 0.7× 4.9k 1.0× 3.3k 1.4× 623 24.7k
Elaine R. Peskind 7.9k 0.9× 4.8k 0.7× 2.8k 0.5× 5.6k 1.1× 4.1k 1.7× 294 23.0k
Johannes Kornhuber 7.4k 0.8× 8.7k 1.3× 3.1k 0.6× 4.9k 1.0× 3.2k 1.3× 852 26.3k
Ralph N. Martins 15.6k 1.7× 7.1k 1.1× 4.0k 0.7× 8.6k 1.7× 1.9k 0.8× 591 29.3k
Christopher Chen 5.7k 0.6× 3.6k 0.6× 4.2k 0.8× 5.1k 1.0× 3.1k 1.3× 617 23.2k
Thomas J. Montine 10.8k 1.2× 8.7k 1.3× 5.2k 0.9× 4.2k 0.8× 6.7k 2.8× 439 27.1k
Miia Kivipelto 10.2k 1.1× 3.2k 0.5× 3.3k 0.6× 9.8k 1.9× 1.8k 0.8× 434 26.7k
Steven E. Arnold 10.1k 1.1× 5.3k 0.8× 4.1k 0.8× 7.8k 1.5× 3.5k 1.4× 344 28.1k

Countries citing papers authored by Lan Tan

Since Specialization
Citations

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

Fields of papers citing papers by Lan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Lan Tan. A scholar is included among the top collaborators of Lan 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 Lan Tan. Lan 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
1.
Huang, Wen, Lan Tan, Xiao Yang, et al.. (2025). Ultrafast synthesis of tetragonal-distorted FeCoNiCuCr high-entropy alloy nanoparticles for enhanced OER performance. Chinese Chemical Letters. 37(5). 110852–110852. 4 indexed citations
2.
Tan, Lan, Yu Lou, Sinan Liu, et al.. (2025). Unblocking the potential of Ni-based metallic glasses for glucose sensing through surface porous engineering. Journal of Materials Chemistry A. 13(17). 12065–12074.
3.
Zhang, Wei, Yan Fu, Shichao Han, et al.. (2025). Liver Diseases and Brain Disorders: Genetic Mechanisms and Biomarker Pathways in a Prospective Cohort Study From the UK Biobank. Journal of Neurochemistry. 169(4). e70066–e70066. 1 indexed citations
4.
Ma, Liyun, et al.. (2025). Associations of metabolic syndrome with risks of dementia and cognitive impairment: A systematic review and meta-analysis. Journal of Alzheimer s Disease. 105(1). 15–27. 1 indexed citations
5.
Ma, Liyun, Ya‐Nan Ou, Yan Fu, et al.. (2024). Associations between antipsychotics exposure and dementia risk: A prospective cohort study of 415,100 participants. Journal of Affective Disorders. 349. 201–209. 2 indexed citations
7.
Wu, Zhenduo, Lan Tan, Jianrong Zeng, et al.. (2024). Tailoring Atomic Ordering Uniformity Enables Selectively Leached Nanoporous Pd‐Ni‐P Metallic Glass for Enhanced Glucose Sensing. Advanced Science. 11(48). e2408816–e2408816. 3 indexed citations
8.
Huang, Liangyu, Min Liu, Yuying Zhang, et al.. (2024). Higher CSF sTREM2 attenuates APOE ε4 ‐related risk for amyloid pathology in cognitively intact adults: The CABLE study. Journal of Neurochemistry. 169(1). e16273–e16273. 3 indexed citations
9.
Ou, Ya‐Nan, Lan Tan, & Jin‐Tai Yu. (2024). Longitudinal associations of cardiovascular health and vascular events with incident dementia. Alzheimer s & Dementia. 20(S7). 1 indexed citations
10.
Huang, Wen, Yu Lou, Lan Tan, et al.. (2024). Ultrafast joule-heating synthesis of FeCoMnCuAl high-entropy-alloy nanoparticles as efficient OER electrocatalysts. Progress in Natural Science Materials International. 34(5). 880–887. 17 indexed citations
11.
13.
Wu, Kaimin, Kevin H.M. Kuo, Yue‐Ting Deng, et al.. (2024). Association of grip strength and walking pace with the risk of incident Parkinson’s disease: a prospective cohort study of 422,531 participants. Journal of Neurology. 271(5). 2529–2538. 5 indexed citations
14.
Ma, Ya‐Hui, Jiahui Hou, Yan Fu, et al.. (2024). Genetic susceptibility modifies the association of long-term air pollution exposure on Parkinson’s disease. npj Parkinson s Disease. 10(1). 23–23. 15 indexed citations
15.
Ou, Ya‐Nan, Kevin H.M. Kuo, Yang Liu, et al.. (2023). Longitudinal associations of cardiovascular health and vascular events with incident dementia. Stroke and Vascular Neurology. 9(4). 418–428. 6 indexed citations
16.
Ma, Ya‐Hui, Yuzhu Li, Yue Leng, et al.. (2023). Lung function and risk of incident dementia: A prospective cohort study of 431,834 individuals. Brain Behavior and Immunity. 109. 321–330. 23 indexed citations
17.
Wang, Zhibo, Yan Sun, Ya‐Hui Ma, et al.. (2022). sTREM2 mediates the associations of minimal depressive symptoms with amyloid pathology in prodromal Alzheimer’s disease: The CABLE study. Translational Psychiatry. 12(1). 140–140. 9 indexed citations
18.
Hu, He‐Ying, Ya-Ru Zhang, Ya‐Nan Ou, et al.. (2022). Association between multimorbidity status and incident dementia: a prospective cohort study of 245,483 participants. Translational Psychiatry. 12(1). 505–505. 30 indexed citations
19.
Chen, Shi-Dong, Yuyuan Huang, Xue‐Ning Shen, et al.. (2021). Longitudinal plasma phosphorylated tau 181 tracks disease progression in Alzheimer’s disease. Translational Psychiatry. 11(1). 356–356. 37 indexed citations
20.
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

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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