Li Liu

3.4k total citations
149 papers, 2.2k citations indexed

About

Li Liu is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Li Liu has authored 149 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Genetics, 42 papers in Molecular Biology and 20 papers in Surgery. Recurrent topics in Li Liu's work include Genetic Associations and Epidemiology (32 papers), Genetics and Neurodevelopmental Disorders (17 papers) and Hip disorders and treatments (11 papers). Li Liu is often cited by papers focused on Genetic Associations and Epidemiology (32 papers), Genetics and Neurodevelopmental Disorders (17 papers) and Hip disorders and treatments (11 papers). Li Liu collaborates with scholars based in China, Switzerland and United States. Li Liu's co-authors include Bofeng Bai, Guanghui Wang, Pengfei Li, Yan Wen, Shiqiang Cheng, Bolun Cheng, Guoyan Zheng, Hong Wang, Linghua Wang and Shuai Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Li Liu

140 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Liu China 26 617 394 300 275 216 149 2.2k
Ming Yang China 33 972 1.6× 89 0.2× 416 1.4× 107 0.4× 97 0.4× 108 3.2k
Hiroyuki Fujii Japan 23 543 0.9× 99 0.3× 69 0.2× 75 0.3× 175 0.8× 165 1.9k
Richard A. Dennis United States 28 617 1.0× 26 0.1× 104 0.3× 105 0.4× 163 0.8× 96 2.3k
Tony Wang United States 23 388 0.6× 35 0.1× 75 0.3× 269 1.0× 47 0.2× 65 2.2k
Akira Kurita Japan 33 337 0.5× 118 0.3× 60 0.2× 486 1.8× 1.3k 6.2× 226 4.6k
Hideaki Suzuki Japan 37 1.4k 2.2× 125 0.3× 240 0.8× 123 0.4× 539 2.5× 200 4.2k
Sungsoo Lee South Korea 30 539 0.9× 63 0.2× 61 0.2× 138 0.5× 878 4.1× 215 3.1k
Robert Keynton United States 28 290 0.5× 33 0.1× 186 0.6× 806 2.9× 281 1.3× 146 2.7k
Long Xu China 20 417 0.7× 26 0.1× 101 0.3× 112 0.4× 172 0.8× 135 1.5k
Jiali Luo China 26 372 0.6× 38 0.1× 23 0.1× 449 1.6× 142 0.7× 72 1.9k

Countries citing papers authored by Li Liu

Since Specialization
Citations

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

Fields of papers citing papers by Li Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Li Liu. A scholar is included among the top collaborators of Li Liu 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 Li Liu. Li Liu 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.
Liu, Xi, et al.. (2025). Treatment of Pyogenic Ventriculitis with Retroauricular External Ventricular Drainage. World Neurosurgery. 202. 124349–124349.
2.
Pan, Chuyu, Xinhua Qi, Xuena Yang, et al.. (2025). Large-scale plasma proteomics uncovers novel targets linking ambient air pollution and depression. Molecular Psychiatry. 30(8). 3650–3659. 1 indexed citations
3.
Pan, Chuyu, Bolun Cheng, Shiqiang Cheng, et al.. (2024). Enhanced polygenic risk score incorporating gene–environment interaction suggests the association of major depressive disorder with cardiac and lung function. Briefings in Bioinformatics. 25(2). 1 indexed citations
5.
Yang, Xuena, Bolun Cheng, Shiqiang Cheng, et al.. (2024). A genome-wide association study identifies candidate genes for sleep disturbances in depressed individuals. Human Genomics. 18(1). 51–51.
6.
Jia, Yumeng, Shiqiang Cheng, Li Liu, et al.. (2023). Association between birth by caesarian section and anxiety, self-harm: a gene-environment interaction study using UK Biobank data. BMC Psychiatry. 23(1). 237–237. 1 indexed citations
7.
Huang, Huimei, Shiqiang Cheng, Xuena Yang, et al.. (2023). Dissecting the Association between Gut Microbiota and Brain Structure Change Rate: A Two-Sample Bidirectional Mendelian Randomization Study. Nutrients. 15(19). 4227–4227. 4 indexed citations
8.
Liu, Li, Xin Qi, Shiqiang Cheng, et al.. (2023). Epigenetic analysis suggests aberrant cerebellum brain aging in old-aged adults with autism spectrum disorder and schizophrenia. Molecular Psychiatry. 28(11). 4867–4876. 3 indexed citations
9.
Li, Ping, Bolun Cheng, Li Liu, et al.. (2023). WISP1 Is Involved in the Pathogenesis of Kashin-Beck Disease via the Autophagy Pathway. International Journal of Molecular Sciences. 24(22). 16037–16037. 2 indexed citations
10.
Cheng, Bolun, Jian Yang, Shiqiang Cheng, et al.. (2023). Associations of classical HLA alleles with depression and anxiety. HLA. 103(1). e15173–e15173. 5 indexed citations
11.
Cheng, Shiqiang, Bolun Cheng, Li Liu, et al.. (2022). Exome-wide screening identifies novel rare risk variants for major depression disorder. Molecular Psychiatry. 27(7). 3069–3074. 15 indexed citations
12.
Cheng, Shiqiang, Yan Wen, Li Liu, et al.. (2021). Traumatic events during childhood and its risks to substance use in adulthood: an observational and genome-wide by environment interaction study in UK Biobank. Translational Psychiatry. 11(1). 431–431. 4 indexed citations
13.
Chu, Xiaomeng, Li Liu, Yan Wen, et al.. (2020). A genome-wide multiphenotypic association analysis identified common candidate genes for subjective well-being, depressive symptoms and neuroticism. Journal of Psychiatric Research. 124. 22–28. 4 indexed citations
14.
Du, Yanan, Ping Li, Yan Wen, et al.. (2019). Evaluating the Correlations Between Osteoporosis and Lifestyle-Related Factors Using Transcriptome-Wide Association Study. Calcified Tissue International. 106(3). 256–263. 11 indexed citations
16.
Li, Ping, Cuiyan Wu, Xiong Guo, et al.. (2019). Integrative Analysis of Genome-Wide Association Studies and DNA Methylation Profile Identified Genetic Control Genes of DNA Methylation for Kashin-Beck Disease. Cartilage. 13(1_suppl). 780S–788S. 6 indexed citations
17.
Zhao, Yan, Feng Zhu, Miao Ding, et al.. (2017). Integrating genome-wide association study and expression quantitative trait locus study identifies multiple genes and gene sets associated with schizophrenia. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 81. 50–54. 26 indexed citations
18.
Cheng, Hui, Li Liu, Weimin Yu, et al.. (2015). Comparison of 2.5D and 3D Quantification of Femoral Head Coverage in Normal Control Subjects and Patients with Hip Dysplasia. PLoS ONE. 10(11). e0143498–e0143498. 14 indexed citations
19.
Fu, Xiaoli, Li Liu, Zhiguang Ping, & Linlin Li. (2013). [Non-linear canonical correlation analysis between anthropometric indicators and multiple metabolic abnormalities].. PubMed. 42(5). 730–5. 1 indexed citations
20.
Wang, Jue, et al.. (2007). Feature extraction via KPCA for classification of gait patterns. Human Movement Science. 26(3). 393–411. 89 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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