Lan Chu

4.0k total citations · 1 hit paper
30 papers, 642 citations indexed

About

Lan Chu is a scholar working on Neurology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Lan Chu has authored 30 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Neurology, 9 papers in Molecular Biology and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Lan Chu's work include Multiple Sclerosis Research Studies (6 papers), MicroRNA in disease regulation (5 papers) and Extracellular vesicles in disease (4 papers). Lan Chu is often cited by papers focused on Multiple Sclerosis Research Studies (6 papers), MicroRNA in disease regulation (5 papers) and Extracellular vesicles in disease (4 papers). Lan Chu collaborates with scholars based in China, Australia and Taiwan. Lan Chu's co-authors include Dian He, Qingqing Dai, Wei Qin, Fangyu Li, Longfei Jia, Yifeng Du, Shengliang Shi, Shan Wang, Luxi Shen and Jiewen Zhang and has published in prestigious journals such as Cochrane Database of Systematic Reviews, Pharmacological Research and Oxidative Medicine and Cellular Longevity.

In The Last Decade

Lan Chu

29 papers receiving 635 citations

Hit Papers

Concordance between the assessment of Aβ42, T‐tau, and P‐... 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Concordance between the assessment of Aβ42, T‐tau, and P‐T181‐tau in peripheral blood neuronal‐derived exosomes and cerebrospinal fluid
    2019 283 citations Longfei Jia, Lan Chu et al. Alzheimer s & Dementia profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lan Chu China 13 340 125 123 119 109 30 642
M. Gironi Italy 15 231 0.7× 84 0.7× 90 0.7× 57 0.5× 60 0.6× 26 578
Xu Yi China 14 219 0.6× 105 0.8× 101 0.8× 65 0.5× 163 1.5× 35 590
Sahil Chawla United States 9 494 1.5× 143 1.1× 117 1.0× 200 1.7× 150 1.4× 9 757
Fausta Ciccocioppo Italy 13 215 0.6× 152 1.2× 90 0.7× 63 0.5× 157 1.4× 17 552
Shougang Guo China 16 162 0.5× 54 0.4× 267 2.2× 57 0.5× 63 0.6× 55 698
Xin Hu China 15 260 0.8× 135 1.1× 159 1.3× 42 0.4× 41 0.4× 44 707
Nicole Hanley Ireland 4 259 0.8× 335 2.7× 69 0.6× 86 0.7× 101 0.9× 7 694
Anandakumar Shunmugavel United States 15 181 0.5× 162 1.3× 133 1.1× 36 0.3× 152 1.4× 20 746
Maria Cristina Guerra Brazil 13 536 1.6× 139 1.1× 116 0.9× 91 0.8× 139 1.3× 19 978
Zirong Chen China 15 216 0.6× 34 0.3× 67 0.5× 91 0.8× 31 0.3× 55 706

Countries citing papers authored by Lan Chu

Since Specialization
Citations

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

Fields of papers citing papers by Lan Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Lan Chu. A scholar is included among the top collaborators of Lan Chu 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 Chu. Lan Chu 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.
Cai, Gang, Fang Xie, Jun Li, et al.. (2025). Quantitative histopathologic profiling of arterial dissection-related thrombi in acute ischemic stroke: etiological comparisons. Frontiers in Neurology. 16. 1640562–1640562.
2.
Wang, Ruihua, et al.. (2023). A bibliometric analysis of studies of exosomes in ischemic stroke published from 2002 to 2021.. PubMed. 15(12). 6867–6877. 2 indexed citations
3.
Zhang, Yang, et al.. (2022). miR‐155‐5p in Extracellular Vesicles Derived from Choroid Plexus Epithelial Cells Promotes Autophagy and Inflammation to Aggravate Ischemic Brain Injury in Mice. Oxidative Medicine and Cellular Longevity. 2022(1). 8603427–8603427. 13 indexed citations
4.
Yang, Dan, Ruomeng Qin, Lan Chu, et al.. (2022). Abnormal Cerebrovascular Reactivity and Functional Connectivity Caused by White Matter Hyperintensity Contribute to Cognitive Decline. Frontiers in Neuroscience. 16. 807585–807585. 10 indexed citations
5.
Zhang, Yang, Zhennai Yang, Yifan Zhang, et al.. (2022). Lactobacillus plantarum-derived extracellular vesicles protect against ischemic brain injury via the microRNA-101a-3p/c-Fos/TGF-β axis. Pharmacological Research. 182. 106332–106332. 51 indexed citations
6.
Chu, Lan, et al.. (2021). Lymphomatosis cerebri: Multimodality imaging features and misdiagnosis analysis. Oncology Letters. 22(4). 701–701. 4 indexed citations
7.
Yang, Huajun, Yifan Zhang, Yuan Li, et al.. (2021). Mir-184 Contributes to Brain Injury Through Targeting PPAP2B Following Ischemic Stroke in Male Rats. Frontiers in Molecular Neuroscience. 14. 613887–613887. 15 indexed citations
8.
Jia, Jianping, Longfei Jia, Yifeng Du, et al.. (2021). Dementia and mild cognitive impairment in China: From the public health perspective. Alzheimer s & Dementia. 17(S10). 2 indexed citations
9.
Li, Yuan, et al.. (2021). Protective Effect of GSK-3β/Nrf2 Mediated by Dimethyl Fumarate in Middle Cerebral Artery Embolization Reperfusion Rat Model. Current Neurovascular Research. 18(4). 456–464. 15 indexed citations
10.
Liu, Pan, Lan Chu, Jiaqi Li, et al.. (2020). Suberoylanilide hydroxamic acid attenuates epidural fibrosis via inhibiting myofibroblast differentiation and increasing fibroblast apoptosis.. PubMed. 24(10). 5726–5733. 4 indexed citations
11.
Wu, Rui, Chun‐Feng Liu, Dian He, et al.. (2019). MiR-125a-5p Regulates Vitamin D Receptor Expression in a Mouse Model of Experimental Autoimmune Encephalomyelitis. Neuroscience Bulletin. 36(2). 110–120. 15 indexed citations
12.
Cai, Gang, et al.. (2015). Paraneoplastic neuromyelitis optica spectrum disorders: three new cases and a review of the literature. International Journal of Neuroscience. 126(7). 1–9. 35 indexed citations
13.
Li, Yuan, Lan Chu, Gang Cai, et al.. (2015). Detection of low–density lipoprotein receptor–related protein 4 antibodies of myasthenia gravis and its clinical significances. Chin J Neurol. 48(11). 980–983. 1 indexed citations
14.
15.
He, Dian, et al.. (2014). Individualized Rituximab Treatment for Relapsing Neuromyelitis Optica: A Pediatric Case Report. Pediatric Neurology. 51(2). 255–258. 4 indexed citations
16.
He, Dian, et al.. (2013). Laquinimod for multiple sclerosis. Cochrane Database of Systematic Reviews. CD010475–CD010475. 3 indexed citations
17.
Wang, Wei, Liang Wang, Jing Luo, et al.. (2012). Role of a Neural Cell Adhesion Molecule Found in Cerebrospinal Fluid as a Potential Biomarker for Epilepsy. Neurochemical Research. 37(4). 819–825. 27 indexed citations
18.
Chu, Lan. (2011). A Cognitive Approach to Tang and Song Poems. 1 indexed citations
19.
20.
Liang, Jin, et al.. (2008). Association between polymorphisms in HLA-II genes and multiple sclerosis in Guizhou Province. Chin J Neurol. 41(2). 83–86. 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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