Lu Shen

9.4k total citations · 1 hit paper
271 papers, 4.4k citations indexed

About

Lu Shen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Lu Shen has authored 271 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Molecular Biology, 95 papers in Cellular and Molecular Neuroscience and 83 papers in Neurology. Recurrent topics in Lu Shen's work include Genetic Neurodegenerative Diseases (57 papers), Mitochondrial Function and Pathology (41 papers) and Parkinson's Disease Mechanisms and Treatments (39 papers). Lu Shen is often cited by papers focused on Genetic Neurodegenerative Diseases (57 papers), Mitochondrial Function and Pathology (41 papers) and Parkinson's Disease Mechanisms and Treatments (39 papers). Lu Shen collaborates with scholars based in China, United States and Spain. Lu Shen's co-authors include Beisha Tang, Bin Jiao, Hong Jiang, Kun Xia, Xinxiang Yan, Junling Wang, Jifeng Guo, Qian Pan, Yafang Zhou and Tingting Xiao and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Lu Shen

249 papers receiving 4.3k citations

Hit Papers

Neural biomarker diagnosis and prediction to mild cogniti... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Shen China 34 2.2k 1.3k 1.1k 747 685 271 4.4k
Michelangelo Mancuso Italy 41 3.5k 1.6× 1.1k 0.8× 1.2k 1.0× 902 1.2× 703 1.0× 212 5.6k
Zhi‐Ying Wu China 35 2.2k 1.0× 1.1k 0.8× 958 0.9× 521 0.7× 629 0.9× 230 5.0k
Sebastiano Cavallaro Italy 39 2.2k 1.0× 1.7k 1.3× 915 0.8× 486 0.7× 439 0.6× 186 4.5k
Isao Hozumi Japan 33 1.4k 0.6× 1.1k 0.8× 1.2k 1.0× 706 0.9× 575 0.8× 142 4.1k
Paul Lingor Germany 43 2.5k 1.1× 1.8k 1.4× 1.7k 1.5× 963 1.3× 747 1.1× 154 5.7k
Nathan Pankratz United States 34 1.7k 0.8× 991 0.8× 1.8k 1.6× 892 1.2× 676 1.0× 112 4.6k
Seiji Kikuchi Japan 45 1.6k 0.7× 834 0.6× 1.2k 1.1× 728 1.0× 507 0.7× 169 6.0k
Paul J. Lockhart Australia 34 2.3k 1.1× 1.2k 0.9× 1.2k 1.1× 585 0.8× 463 0.7× 126 5.2k
Barbara Garavaglia Italy 36 2.0k 0.9× 815 0.6× 998 0.9× 501 0.7× 804 1.2× 152 4.0k
Lars Tönges Germany 34 1.5k 0.7× 1.1k 0.8× 1.3k 1.2× 564 0.8× 546 0.8× 115 3.7k

Countries citing papers authored by Lu Shen

Since Specialization
Citations

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

Fields of papers citing papers by Lu Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Shen. A scholar is included among the top collaborators of Lu 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 Lu Shen. Lu 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.
Tian, Jian, et al.. (2025). Interface electronic coupling in NiCo 2 S 4 nanorod-amorphous FeOOH nanosheets with enhanced catalytic activity in the oxygen evolution reaction. New Journal of Chemistry. 49(15). 6269–6276. 1 indexed citations
2.
Shen, Lu, et al.. (2025). Visual annual reports and stock price crash risk. Accounting and Finance. 65(2). 2035–2064.
3.
Zhao, Yuwen, Hongxu Pan, Yige Wang, et al.. (2025). Expanding the Autosomal Recessive Gene Spectrum of Parkinson's Disease: A Study within the CPD10KGP. Movement Disorders. 40(12). 2770–2781.
4.
Liu, Xinyu, Lu Shen, Jing Gong, et al.. (2023). Application of machine learning in Chinese medicine differentiation of dampness-heat pattern in patients with type 2 diabetes mellitus. Heliyon. 9(2). e13289–e13289. 3 indexed citations
5.
Liu, Xixi, Yaling Jiang, Bin Jiao, et al.. (2023). Brain-derived extracellular vesicles promote bone-fat imbalance in Alzheimer's disease. International Journal of Biological Sciences. 19(8). 2409–2427. 23 indexed citations
6.
Zhao, Qianqian, Yongchao Li, Zhen Liu, et al.. (2023). Mutation and clinical analysis of the CLCC1 gene in amyotrophic lateral sclerosis patients from Central South China. Annals of Clinical and Translational Neurology. 11(1). 79–88. 1 indexed citations
7.
Jiao, Bin, Sizhe Zhang, Yuan Li, et al.. (2023). A detection model for cognitive dysfunction based on volatile organic compounds from a large Chinese community cohort. Alzheimer s & Dementia. 19(11). 4852–4862. 14 indexed citations
8.
Yang, Qijie, Bin Jiao, Weiwei Zhang, et al.. (2023). Clinical features of progressive supranuclear palsy. Frontiers in Aging Neuroscience. 15. 1229491–1229491. 5 indexed citations
9.
Shen, Lu, et al.. (2023). How do contract performance rates affect entrepreneurs’ risk-averse attitudes? Evidence from China. Frontiers in Psychology. 14. 1112344–1112344. 1 indexed citations
10.
Jiang, Yaling, Xuewen Xiao, Xixi Liu, et al.. (2023). GSNgene frameshift mutations in Alzheimer’s disease. Journal of Neurology Neurosurgery & Psychiatry. 94(6). 436–447. 5 indexed citations
11.
Huang, Ling, Zhen Liu, Lu Shen, et al.. (2020). Mutation analysis of MFSD8 in an amyotrophic lateral sclerosis cohort from mainland China. European Journal of Neuroscience. 53(4). 1197–1206. 4 indexed citations
12.
Xie, Yongzhi, Zhiqiang Lin, Xiaobo Li, et al.. (2020). Genetic and Clinical Features in 24 Chinese Distal Hereditary Motor Neuropathy Families. Frontiers in Neurology. 11. 603003–603003. 7 indexed citations
13.
Feng, Jiafu, et al.. (2020). The Role of JNk Signaling Pathway in Obesity-Driven Insulin Resistance. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Jiang, Yaling, Bin Jiao, Xinxin Liao, et al.. (2020). Analyses Mutations in GSN, CST3, TTR, and ITM2B Genes in Chinese Patients With Alzheimer’s Disease. Frontiers in Aging Neuroscience. 12. 581524–581524. 6 indexed citations
15.
Liao, Xinxin, Fang Cai, Zhanfang Sun, et al.. (2020). Identification of Alzheimer’s disease–associated rare coding variants in the ECE2 gene. JCI Insight. 5(4). 21 indexed citations
16.
Qin, Lixia, Qian Xu, Ziyi Li, et al.. (2019). Ethnicity-specific and overlapping alterations of brain hydroxymethylome in Alzheimer’s disease. Human Molecular Genetics. 29(1). 149–158. 12 indexed citations
17.
Li, Wanzhen, Zhen Liu, Weining Sun, et al.. (2019). Mutation analysis of GLT8D1 and ARPP21 genes in amyotrophic lateral sclerosis patients from mainland China. Neurobiology of Aging. 85. 156.e1–156.e4. 17 indexed citations
18.
Xing, Wu, Xinxin Liao, Tingting Guan, et al.. (2017). [Value of 1H-MRS on SCA3/MJD diagnosis and clinical course].. PubMed. 42(3). 291–297. 2 indexed citations
19.
Shen, Lu, et al.. (2011). Genomic DNA polymorphisms in tomato varieties revealed by InDel and SSR markers. Zhongguo Nongye Daxue xuebao. 16(2). 34–42. 2 indexed citations
20.
Shen, Lu, et al.. (2009). Effect of different challenge methods on a murine model of allergic asthma. Chinese Journal of Asthma. 29(15). 909–913. 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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