Xukun Liu

951 total citations · 1 hit paper
25 papers, 646 citations indexed

About

Xukun Liu is a scholar working on Molecular Biology, Cognitive Neuroscience and Genetics. According to data from OpenAlex, Xukun Liu has authored 25 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cognitive Neuroscience and 7 papers in Genetics. Recurrent topics in Xukun Liu's work include Autism Spectrum Disorder Research (8 papers), Genetics and Neurodevelopmental Disorders (7 papers) and Alzheimer's disease research and treatments (6 papers). Xukun Liu is often cited by papers focused on Autism Spectrum Disorder Research (8 papers), Genetics and Neurodevelopmental Disorders (7 papers) and Alzheimer's disease research and treatments (6 papers). Xukun Liu collaborates with scholars based in China and United States. Xukun Liu's co-authors include Liming Shen, Huajie Zhang, Naseer Muhammad Khan, Jing Lin, Javed Iqbal, Chengyun Feng, Lin Jing, Xiaoxiao Tang, Xueshan Cao and Jun Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Molecules.

In The Last Decade

Xukun Liu

24 papers receiving 636 citations

Hit Papers

Oxidative Stress in Autis... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xukun Liu China 15 235 207 143 72 62 25 646
Provvidenza Maria Abruzzo Italy 20 444 1.9× 175 0.8× 119 0.8× 108 1.5× 178 2.9× 43 977
Alessandra Bolotta Italy 14 203 0.9× 156 0.8× 94 0.7× 86 1.2× 103 1.7× 21 556
Paula Martínez United States 12 295 1.3× 74 0.4× 136 1.0× 28 0.4× 132 2.1× 16 851
Hong Chang China 18 400 1.7× 88 0.4× 279 2.0× 106 1.5× 31 0.5× 62 833
Sara Petrillo Italy 18 730 3.1× 88 0.4× 64 0.4× 44 0.6× 128 2.1× 34 1.1k
Yachen Shi China 17 299 1.3× 167 0.8× 28 0.2× 120 1.7× 94 1.5× 48 831
Beata Toczyłowska Poland 13 163 0.7× 58 0.3× 47 0.3× 24 0.3× 95 1.5× 39 694
Liping Hou China 15 230 1.0× 53 0.3× 218 1.5× 96 1.3× 23 0.4× 52 686
Milena Atanasova Bulgaria 14 83 0.4× 44 0.2× 57 0.4× 46 0.6× 83 1.3× 48 541
Nirosen Vijiaratnam United Kingdom 13 172 0.7× 63 0.3× 35 0.2× 59 0.8× 117 1.9× 41 809

Countries citing papers authored by Xukun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xukun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xukun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xukun Liu. A scholar is included among the top collaborators of Xukun 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 Xukun Liu. Xukun 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.
Ding, Rui, et al.. (2025). Activation of the circAGFG1/miR-195-5p/PD-L1 axis induces lung injury in sepsis. Human Cell. 38(5). 129–129.
2.
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
3.
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
4.
Chen, Xiaolu, Xukun Liu, Peng Luo, et al.. (2024). Effects of arsenic exposure on blood trace element levels in rats and sex differences. BioMetals. 37(5). 1099–1111. 2 indexed citations
5.
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
6.
Shen, Liming, Xiaoxiao Tang, Huajie Zhang, et al.. (2023). Targeted Metabolomic Analysis of the Eye Tissue of Triple Transgenic Alzheimer’s Disease Mice at an Early Pathological Stage. Molecular Neurobiology. 60(12). 7309–7328. 2 indexed citations
7.
Cao, Xueshan, Xiaoxiao Tang, Chengyun Feng, et al.. (2023). A Systematic Investigation of Complement and Coagulation-Related Protein in Autism Spectrum Disorder Using Multiple Reaction Monitoring Technology. Neuroscience Bulletin. 39(11). 1623–1637. 14 indexed citations
8.
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
9.
Liu, Xukun, Lin Jing, Huajie Zhang, et al.. (2022). Oxidative Stress in Autism Spectrum Disorder—Current Progress of Mechanisms and Biomarkers. Frontiers in Psychiatry. 13. 813304–813304. 117 indexed citations breakdown →
10.
Zhang, Jun, Ting Hu, Yi Wang, et al.. (2022). Investigating the Neurotoxic Impacts of Arsenic and the Neuroprotective Effects of Dictyophora Polysaccharide Using SWATH-MS-Based Proteomics. Molecules. 27(5). 1495–1495. 19 indexed citations
11.
Zhang, Huajie, Yuxi Zhao, Danqing Zhao, et al.. (2021). Potential biomarkers identified in plasma of patients with gestational diabetes mellitus. Metabolomics. 17(11). 99–99. 14 indexed citations
12.
Yao, Fang, Kaoyuan Zhang, Chengyun Feng, et al.. (2021). Protein Biomarkers of Autism Spectrum Disorder Identified by Computational and Experimental Methods. Frontiers in Psychiatry. 12. 554621–554621. 16 indexed citations
13.
Shen, Liming, Xinqian Chen, Shifeng Xiao, et al.. (2021). Proteomic Profiling of Cerebrum Mitochondria, Myelin Sheath, and Synaptosome Revealed Mitochondrial Damage and Synaptic Impairments in Association with 3 × Tg‐AD Mice Model. Cellular and Molecular Neurobiology. 42(6). 1745–1763. 18 indexed citations
14.
Shen, Liming, Danqing Zhao, Huajie Zhang, et al.. (2021). Metabolic characteristics of plasma bile acids in patients with intrahepatic cholestasis of pregnancy-mass spectrometric study. Metabolomics. 17(10). 93–93. 12 indexed citations
15.
Khan, Naseer Muhammad, et al.. (2021). Synthesis of gold nanorods and their performance in the field of cancer cell imaging and photothermal therapy. Cancer Nanotechnology. 12(1). 40 indexed citations
16.
Du, Xiubo, Qingqing Shi, Yuxi Zhao, et al.. (2021). Se-Methylselenocysteine (SMC) Improves Cognitive Deficits by Attenuating Synaptic and Metabolic Abnormalities in Alzheimer’s Mice Model: A Proteomic Study. ACS Chemical Neuroscience. 12(7). 1112–1132. 30 indexed citations
17.
Khan, Naseer Muhammad, Jing Lin, Xukun Liu, et al.. (2020). Insights into predicting diabetic nephropathy using urinary biomarkers. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1868(10). 140475–140475. 58 indexed citations
18.
Shen, Liming, Xukun Liu, Huajie Zhang, et al.. (2019). Biomarkers in autism spectrum disorders: Current progress. Clinica Chimica Acta. 502. 41–54. 80 indexed citations
19.
Shen, Liming, Yuxi Zhao, Huajie Zhang, et al.. (2019). Advances in Biomarker Studies in Autism Spectrum Disorders. Advances in experimental medicine and biology. 1118. 207–233. 38 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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