Xin Lan

1.3k total citations · 1 hit paper
27 papers, 874 citations indexed

About

Xin Lan is a scholar working on Neurology, Molecular Biology and Immunology. According to data from OpenAlex, Xin Lan has authored 27 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Neurology, 7 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Xin Lan's work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Neurological Disease Mechanisms and Treatments (4 papers) and Intensive Care Unit Cognitive Disorders (4 papers). Xin Lan is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Neurological Disease Mechanisms and Treatments (4 papers) and Intensive Care Unit Cognitive Disorders (4 papers). Xin Lan collaborates with scholars based in China, United States and United Kingdom. Xin Lan's co-authors include Wei Bi, Jiawei Zhang, Daxiang Lu, Xiaofeng Cheng, Shu Xiao, Li Zhu, Wei Wei, Yanping Wang, Hongmei Li and Jiayi Zhao and has published in prestigious journals such as The Lancet, PLoS ONE and Scientific Reports.

In The Last Decade

Xin Lan

23 papers receiving 858 citations

Hit Papers

Neuroinflammation induced by lipopolysaccharide causes co... 2019 2026 2021 2023 2019 200 400 600
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. Neuroinflammation induced by lipopolysaccharide causes cognitive impairment in mice
    2019 645 citations Jiayi Zhao, Wei Bi et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin Lan China 9 381 277 197 176 128 27 874
Carmen Vida Spain 19 167 0.4× 209 0.8× 177 0.9× 277 1.6× 105 0.8× 31 926
Jing Jiang China 20 209 0.5× 254 0.9× 77 0.4× 209 1.2× 68 0.5× 55 988
Andréa Rodrigues Vasconcelos Brazil 15 128 0.3× 338 1.2× 60 0.3× 280 1.6× 56 0.4× 21 971
Ruby Goel United States 13 151 0.4× 572 2.1× 114 0.6× 479 2.7× 51 0.4× 18 1.0k
Srinivasan ThyagaRajan India 15 150 0.4× 146 0.5× 68 0.3× 93 0.5× 114 0.9× 40 759
Jariya Umka Welbat Thailand 22 146 0.4× 278 1.0× 67 0.3× 199 1.1× 26 0.2× 51 1.1k
Noelia Guayerbas Spain 20 181 0.5× 136 0.5× 234 1.2× 195 1.1× 167 1.3× 24 991
Evelyn Ferri Italy 19 146 0.4× 343 1.2× 51 0.3× 616 3.5× 70 0.5× 42 1.1k

Countries citing papers authored by Xin Lan

Since Specialization
Citations

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

Fields of papers citing papers by Xin Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Lan. A scholar is included among the top collaborators of Xin Lan 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 Xin Lan. Xin Lan 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.
Lan, Xin, Shuwen Zhang, & Yang Lü. (2025). Taurine up-regulated 1: A dual regulator in immune cell-mediated pathogenesis of human diseases. Progress in Biophysics and Molecular Biology. 197. 84–96.
2.
Gu, Jinping, Dong‐Rong Zhu, Xin Lan, et al.. (2025). Isolation of pentasaccharide resin glycosides from the whole plants of Ipomoea biflora and their cytotoxic activities. Phytochemistry. 236. 114494–114494. 3 indexed citations
3.
Li, Changxiang, Xin Lan, Zilin Ren, et al.. (2025). Huang-Lian-Jie-Du decoction inhibits CD4+ T cell infiltration into CNS in MCAO rats by regulating BBB. Phytomedicine. 141. 156607–156607. 2 indexed citations
4.
5.
Ren, Zilin, Xin Lan, J. Cheng, et al.. (2025). Astrocyte-neuron metabolic crosstalk in ischaemic stroke. Neurochemistry International. 185. 105954–105954. 3 indexed citations
6.
Fan, Bo‐Yi, Xin Lan, Jinping Gu, et al.. (2025). Glycosidic acids with α-glucosidase inhibitory activity as the alkaline hydrolysis products of resin glycoside fractions from Convolvulus tricolor and Ipomoea biflora. Carbohydrate Research. 556. 109624–109624. 1 indexed citations
7.
Ren, Zilin, Yuxiao Zheng, Xin Lan, et al.. (2025). Refined qingkailing attenuates reactive astrocytes and glial scar formation after ischemia stroke via the EGFR/PLCγ pathway. Phytomedicine. 142. 156696–156696. 2 indexed citations
8.
Lan, Xin, Qingguo Wang, Yuxiao Zheng, et al.. (2025). Decoding ischemic stroke: Perspectives on the endoplasmic reticulum, mitochondria, and their crosstalk. Redox Biology. 82. 103622–103622. 8 indexed citations
9.
10.
11.
Shao, Yi, et al.. (2024). Morin Regulates M1/M2 Microglial Polarization via NF-κB p65 to Alleviate Vincristine-Induced Neuropathic Pain. Drug Design Development and Therapy. Volume 18. 3143–3156. 4 indexed citations
12.
Bi, Wei, Xinqi Zhou, Yihui Deng, et al.. (2023). PSMC5 regulates microglial polarization and activation in LPS-induced cognitive deficits and motor impairments by interacting with TLR4. Journal of Neuroinflammation. 20(1). 277–277. 21 indexed citations
13.
Zhou, Zhongliang, Martyn Stewart, Duolao Wang, et al.. (2021). Comparing the pelvis of Tibetan and Chinese Han women in rural areas of China: two population-based studies using coarsened exact matching. Journal of Obstetrics and Gynaecology. 42(3). 403–409. 3 indexed citations
14.
15.
Shen, Chi, Zhongliang Zhou, Sha Lai, et al.. (2019). Urban-rural-specific trend in prevalence of general and central obesity, and association with hypertension in Chinese adults, aged 18–65 years. BMC Public Health. 19(1). 661–661. 51 indexed citations
16.
Zhao, Jiayi, Wei Bi, Shu Xiao, et al.. (2019). Neuroinflammation induced by lipopolysaccharide causes cognitive impairment in mice. Scientific Reports. 9(1). 5790–5790. 645 indexed citations breakdown →
17.
Bi, Wei, Xin Lan, Jiawei Zhang, et al.. (2019). USP8 ameliorates cognitive and motor impairments via microglial inhibition in a mouse model of sepsis-associated encephalopathy. Brain Research. 1719. 40–48. 16 indexed citations
18.
Lan, Xin, Zhongliang Zhou, Yafei Si, et al.. (2018). Assessing the effects of the percentage of chronic disease in households on health payment-induced poverty in Shaanxi Province, China. BMC Health Services Research. 18(1). 871–871. 14 indexed citations
19.
Dong, Wanyue, Jianmin Gao, Zhongliang Zhou, et al.. (2018). Effects of China’s urban basic health insurance on preventive care service utilization and health behaviors: Evidence from the China Health and Nutrition Survey. PLoS ONE. 13(12). e0209890–e0209890. 21 indexed citations
20.
Lan, Xin. (2007). The Developing Status and the Expectation of Biopharmaceuticais in China.

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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