Xue Shi

2.3k total citations
52 papers, 1.9k citations indexed

About

Xue Shi is a scholar working on Molecular Biology, Cognitive Neuroscience and Epidemiology. According to data from OpenAlex, Xue Shi has authored 52 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Cognitive Neuroscience and 11 papers in Epidemiology. Recurrent topics in Xue Shi's work include Metabolomics and Mass Spectrometry Studies (13 papers), Analytical Chemistry and Chromatography (8 papers) and Liver Disease Diagnosis and Treatment (8 papers). Xue Shi is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (13 papers), Analytical Chemistry and Chromatography (8 papers) and Liver Disease Diagnosis and Treatment (8 papers). Xue Shi collaborates with scholars based in China, United States and Australia. Xue Shi's co-authors include Xiang Zhang, Seongho Kim, Craig J. McClain, Xiaoli Wei, Xinmin Yin, Imhoi Koo, Yan Zhao, Jihong Yao, Yunan Tang and Zhanxiang Zhou and has published in prestigious journals such as Bioinformatics, Gastroenterology and PLoS ONE.

In The Last Decade

Xue Shi

48 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xue Shi China 24 773 475 303 246 216 52 1.9k
Xiaoli Wei China 30 1.5k 1.9× 387 0.8× 334 1.1× 229 0.9× 267 1.2× 82 2.4k
Hongwei Kong China 28 1.7k 2.2× 212 0.4× 146 0.5× 243 1.0× 521 2.4× 63 2.4k
Francisco J. Rupérez Spain 31 1.5k 1.9× 269 0.6× 90 0.3× 315 1.3× 495 2.3× 82 2.8k
M.Saadeh Suleiman United Kingdom 33 1.2k 1.6× 324 0.7× 1.4k 4.7× 279 1.1× 48 0.2× 177 3.9k
Yunlun Li China 24 752 1.0× 247 0.5× 97 0.3× 80 0.3× 75 0.3× 110 1.7k
Yogesh A. Kulkarni India 31 973 1.3× 215 0.5× 271 0.9× 101 0.4× 33 0.2× 135 3.2k
Jiye Aa China 30 2.0k 2.6× 286 0.6× 120 0.4× 226 0.9× 365 1.7× 109 3.2k
Kazunari Tanaka Japan 30 701 0.9× 261 0.5× 485 1.6× 66 0.3× 47 0.2× 127 2.6k
Masaru Kunitomo Japan 35 1.2k 1.5× 158 0.3× 166 0.5× 120 0.5× 61 0.3× 156 3.6k
Jiehong Yang China 27 891 1.2× 177 0.4× 105 0.3× 72 0.3× 44 0.2× 146 2.3k

Countries citing papers authored by Xue Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xue Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xue Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xue Shi. A scholar is included among the top collaborators of Xue Shi 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 Xue Shi. Xue Shi 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.
Dang, Ge, Lin Zhu, Xue Shi, et al.. (2025). Are neurasthenia and depression the same disease entity? An electroencephalography study. BMC Psychiatry. 25(1). 44–44.
2.
Shi, Xue, Lin Jiang, Lin Zhu, et al.. (2024). Prediction of rTMS Efficacy in Patients With Essential Tremor: Biomarkers From Individual Resting-State EEG Network. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 3719–3728. 1 indexed citations
3.
Zhu, Lin, Ge Dang, Xue Shi, et al.. (2023). Predicting response to repetitive transcranial magnetic stimulation in patients with chronic insomnia disorder using electroencephalography: A pilot study. Brain Research Bulletin. 206. 110851–110851. 8 indexed citations
4.
Zhu, Lin, Ge Dang, Wei Wu, et al.. (2023). Functional connectivity changes are correlated with sleep improvement in chronic insomnia patients after rTMS treatment. Frontiers in Neuroscience. 17. 1135995–1135995. 10 indexed citations
5.
Cai, Min, Ge Dang, Xiaolin Su, et al.. (2021). Identifying Mild Cognitive Impairment in Parkinson’s Disease With Electroencephalogram Functional Connectivity. Frontiers in Aging Neuroscience. 13. 701499–701499. 14 indexed citations
6.
Chen, Shumin, Xue Shi, Yongfang Zhang, et al.. (2018). Cell permeable HMGB1-binding heptamer peptide ameliorates neurovascular complications associated with thrombolytic therapy in rats with transient ischemic stroke. Journal of Neuroinflammation. 15(1). 237–237. 33 indexed citations
7.
Shi, Xue, Yan Zhao, Zhecheng Wang, et al.. (2018). Salvianolic acid A alleviates chronic ethanol-induced liver injury via promotion of β-catenin nuclear accumulation by restoring SIRT1 in rats. Toxicology and Applied Pharmacology. 350. 21–31. 13 indexed citations
8.
Li, Zhenlu, Guangzhi Wang, Dongcheng Feng, et al.. (2018). Targeting the miR-665-3p-ATG4B-autophagy axis relieves inflammation and apoptosis in intestinal ischemia/reperfusion. Cell Death and Disease. 9(5). 483–483. 78 indexed citations
9.
Zhao, Yan, Xue Shi, Dongcheng Feng, et al.. (2017). Carnosic acid prevents COL1A2 transcription through the reduction of Smad3 acetylation via the AMPKα1/SIRT1 pathway. Toxicology and Applied Pharmacology. 339. 172–180. 8 indexed citations
11.
Xu, Ting, Junjun Zhou, Jie Zhu, et al.. (2016). Carnosic acid protects non-alcoholic fatty liver-induced dopaminergic neuron injury in rats. Metabolic Brain Disease. 32(2). 483–491. 11 indexed citations
12.
Shi, Xue, Xiaoli Wei, Xinmin Yin, et al.. (2015). Hepatic and Fecal Metabolomic Analysis of the Effects of Lactobacillus rhamnosus GG on Alcoholic Fatty Liver Disease in Mice. Journal of Proteome Research. 14(2). 1174–1182. 79 indexed citations
13.
Koo, Imhoi, Xiaoli Wei, Xue Shi, et al.. (2014). Constructing metabolic association networks using high-dimensional mass spectrometry data. Chemometrics and Intelligent Laboratory Systems. 138. 193–202. 1 indexed citations
14.
Jeong, Jaesik, et al.. (2013). An efficient post-hoc integration method improving peak alignment of metabolomics data from GCxGC/TOF-MS. BMC Bioinformatics. 14(1). 123–123. 9 indexed citations
15.
Wei, Xiaoli, et al.. (2013). A method of aligning peak lists generated by gas chromatography high-resolution mass spectrometry. The Analyst. 138(18). 5453–5453. 7 indexed citations
16.
Wei, Xiaoli, Xue Shi, Seongho Kim, et al.. (2012). Data Preprocessing Method for Liquid Chromatography–Mass Spectrometry Based Metabolomics. Analytical Chemistry. 84(18). 7963–7971. 56 indexed citations
17.
Wei, Xiaoli, Wenlong Sun, Xue Shi, et al.. (2011). MetSign: A Computational Platform for High-Resolution Mass Spectrometry-Based Metabolomics. Analytical Chemistry. 83(20). 7668–7675. 65 indexed citations
18.
Jeong, Jaesik, et al.. (2011). An empirical Bayes model using a competition score for metabolite identification in gas chromatography mass spectrometry. BMC Bioinformatics. 12(1). 392–392. 22 indexed citations
19.
Shi, Xue, et al.. (2010). Neuroprotective effects of SCM198 on 6-hydroxydopamine-induced behavioral deficit in rats and cytotoxicity in neuronal SH-SY5Y cells. Neurochemistry International. 58(8). 851–860. 41 indexed citations
20.
Shi, Xue. (2007). Structural and SP1-binding Analysis of Promoter of LAPTM4β, A Novel Gene Associated with Hepatocellular Carcinoma. Zhongguo shengwu huaxue yu fenzi shengwu xuebao. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026