Liming Shen

4.3k total citations · 1 hit paper
113 papers, 3.2k citations indexed

About

Liming Shen is a scholar working on Molecular Biology, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Liming Shen has authored 113 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 18 papers in Cognitive Neuroscience and 17 papers in Physiology. Recurrent topics in Liming Shen's work include Alzheimer's disease research and treatments (17 papers), Autism Spectrum Disorder Research (14 papers) and Genetics and Neurodevelopmental Disorders (11 papers). Liming Shen is often cited by papers focused on Alzheimer's disease research and treatments (17 papers), Autism Spectrum Disorder Research (14 papers) and Genetics and Neurodevelopmental Disorders (11 papers). Liming Shen collaborates with scholars based in China, United States and Taiwan. Liming Shen's co-authors include Garrett E. Alexander, Xukun Liu, Michael C. Carroll, Christopher C. Goodnow, А.П. Продеус, Siegfried Goerg, Huajie Zhang, Qiong Liu, Jiazuan Ni and Naseer Muhammad Khan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Liming Shen

108 papers receiving 3.1k citations

Hit Papers

Oxidative Stress in Autism Spectrum Disorder—Current Prog... 2022 2026 2023 2024 2022 25 50 75 100
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. Oxidative Stress in Autism Spectrum Disorder—Current Progress of Mechanisms and Biomarkers
    2022 117 citations Xukun Liu, Lin Jing et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liming Shen China 31 864 745 610 316 290 113 3.2k
Wenbin Li China 31 1.2k 1.4× 345 0.5× 265 0.4× 346 1.1× 245 0.8× 209 3.3k
Kenichiro Yamashita Japan 31 2.4k 2.8× 597 0.8× 640 1.0× 364 1.2× 477 1.6× 163 5.6k
Dong Zhou China 44 2.2k 2.5× 232 0.3× 370 0.6× 607 1.9× 211 0.7× 107 5.5k
Yanfang Wang China 29 1.1k 1.3× 273 0.4× 306 0.5× 175 0.6× 74 0.3× 126 2.7k
Lei Lan China 31 626 0.7× 464 0.6× 170 0.3× 131 0.4× 157 0.5× 146 3.1k
Yuan Wang China 35 1.6k 1.9× 348 0.5× 200 0.3× 144 0.5× 337 1.2× 199 3.7k
Xia Li China 36 2.1k 2.4× 212 0.3× 328 0.5× 150 0.5× 203 0.7× 162 3.9k
Qian Cheng China 39 1.8k 2.1× 137 0.2× 431 0.7× 230 0.7× 293 1.0× 144 4.0k

Countries citing papers authored by Liming Shen

Since Specialization
Citations

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

Fields of papers citing papers by Liming Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liming Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Liming Shen. A scholar is included among the top collaborators of Liming Shen 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 Liming Shen. Liming Shen 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.
Li, Wei, Liming Shen, Qinglin Yang, et al.. (2025). Oxidative stress index-based scoring for prediction of long-term prognosis in patients with colorectal cancer with liver metastases. Scientific Reports. 15(1). 5253–5253. 2 indexed citations
2.
Sun, Yuan, Haiying Li, Hongbo Yang, et al.. (2025). Unveiling urinary diagnostic biomarkers for diabetic kidney disease using metabolomics and machine learning approaches. Diabetes Obesity and Metabolism. 27(12). 7355–7366.
3.
Chen, Yining, et al.. (2025). Study on microwave extraction of berberine coloring compound and extracts stability: Process optimization by Response Surface Method (RSM). Dyes and Pigments. 237. 112609–112609. 2 indexed citations
4.
Wang, Chao, Xiao-Lu Chen, Ting Hu, et al.. (2025). Mechanism of arsenic-induced liver injury in rats revealed by metabolomics and ionomics based approach. Ecotoxicology and Environmental Safety. 293. 118038–118038.
5.
Zhang, Xinglai, Ayesha C. Qureshi, Yi Wang, et al.. (2024). Proteomic analysis of the effects of Dictyophora polysaccharide on arsenic-induced hepatotoxicity in rats. Experimental and Molecular Pathology. 138. 104910–104910. 2 indexed citations
6.
Cao, Xueshan, Xukun Liu, Yi Wang, et al.. (2024). Integration of proteomics and metabolomics analysis investigate mechanism of As-induced immune injury in rat spleen. Ecotoxicology and Environmental Safety. 284. 116913–116913. 2 indexed citations
7.
Chen, Xiaolu, Xiaoxiao Tang, Yi Wang, et al.. (2024). Study on the mechanism of arsenic-induced renal injury based on SWATH proteomics technology. Journal of Trace Elements in Medicine and Biology. 83. 127390–127390. 3 indexed citations
8.
Cao, Xueshan, Xiaoxiao Tang, Yongdong Zou, et al.. (2024). Investigating metabolic dysregulation in serum of triple transgenic Alzheimer’s disease male mice: implications for pathogenesis and potential biomarkers. Amino Acids. 56(1). 10–10. 4 indexed citations
9.
Yang, Fei, Jin Lin, Xiaoxiao Tang, et al.. (2024). iTRAQ proteomics analysis of placental tissue with gestational diabetes mellitus. Acta Diabetologica. 61(12). 1589–1601. 1 indexed citations
10.
Wang, Meina, Kang Lin, Yu Xu, et al.. (2024). Human neural stem cell-derived artificial organelles to improve oxidative phosphorylation. Nature Communications. 15(1). 7855–7855. 8 indexed citations
11.
Qureshi, Ayesha C., et al.. (2024). Autism spectrum disorder: pathogenesis, biomarker, and intervention therapy. SHILAP Revista de lepidopterología. 5(3). e497–e497. 34 indexed citations
12.
He, Zhijun, Huajie Zhang, Xiaoqian Li, et al.. (2023). Comparative proteomic analysis of cerebral cortex revealed neuroprotective mechanism of esculentoside A on Alzheimer's disease. European Journal of Pharmacology. 964. 176226–176226. 1 indexed citations
13.
Zhang, Xinglai, Hongmei Yang, Yi Wang, et al.. (2023). Proteomic Study on the Mechanism of Arsenic Neurotoxicity in the Rat Cerebral Cortex and the Protective Mechanism of Dictyophora Polysaccharides against Arsenic Neurotoxicity. ACS Chemical Neuroscience. 14(12). 2302–2319. 16 indexed citations
14.
Zhang, Huajie, Xiaoxiao Tang, Chengyun Feng, et al.. (2023). The use of data independent acquisition based proteomic analysis and machine learning to reveal potential biomarkers for autism spectrum disorder. Journal of Proteomics. 278. 104872–104872. 14 indexed citations
15.
Tang, Yaoliang, et al.. (2022). Outcomes of stent grafts for treatment of central venous disease in hemodialysis patients. The Journal of Vascular Access. 25(3). 813–820. 2 indexed citations
16.
Jing, Lin, Kaoyuan Zhang, Xueshan Cao, et al.. (2022). iTRAQ-Based Proteomics Analysis of Rat Cerebral Cortex Exposed to Valproic Acid before Delivery. ACS Chemical Neuroscience. 13(5). 648–663. 8 indexed citations
17.
Shen, Liming, Danqing Zhao, Youjiao Chen, et al.. (2019). Comparative Proteomics Analysis of Serum Proteins in Gestational Diabetes during Early and Middle Stages of Pregnancy. PROTEOMICS - CLINICAL APPLICATIONS. 13(5). e1800060–e1800060. 24 indexed citations
18.
Yan, Wei, Beibei Zeng, Hua Zhang, et al.. (2018). Comparative proteomic analysis of fluoride treated rat bone provides new insights into the molecular mechanisms of fluoride toxicity. Toxicology Letters. 291. 39–50. 28 indexed citations
19.
Zhou, Dayong, et al.. (2014). IQGAP1 promotes the phenotypic switch of vascular smooth muscle by myocardin pathway: a potential target for varicose vein.. PubMed. 7(10). 6475–85. 11 indexed citations
20.
Gao, Qi, Yi Li, Liming Shen, et al.. (2008). Bone marrow stromal cells reduce ischemia-induced astrocytic activation in vitro. Neuroscience. 152(3). 646–655. 27 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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