Xinrui Shi

772 total citations · 1 hit paper
26 papers, 509 citations indexed

About

Xinrui Shi is a scholar working on Molecular Biology, Cognitive Neuroscience and Immunology. According to data from OpenAlex, Xinrui Shi has authored 26 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cognitive Neuroscience and 4 papers in Immunology. Recurrent topics in Xinrui Shi's work include CRISPR and Genetic Engineering (3 papers), RNA regulation and disease (3 papers) and Pregnancy and preeclampsia studies (2 papers). Xinrui Shi is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), RNA regulation and disease (3 papers) and Pregnancy and preeclampsia studies (2 papers). Xinrui Shi collaborates with scholars based in China, United States and Canada. Xinrui Shi's co-authors include Rui Zhang, Wanying Chen, Nannan Gu, Hui Zhang, Tao Huang, Yi Tang, Yi Xing, Zichao Huang, Qiang Fu and Lishi Li and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and ACS Catalysis.

In The Last Decade

Xinrui Shi

21 papers receiving 503 citations

Hit Papers

Dynamic landscape and evolution of m6A methylation in human 2020 2026 2022 2024 2020 50 100 150 200 250
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. Dynamic landscape and evolution of m6A methylation in human
    2020 265 citations Hui Zhang, Xinrui Shi et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinrui Shi China 9 374 194 34 32 28 26 509
Ahmed Elshafei Egypt 12 312 0.8× 316 1.6× 5 0.1× 30 0.9× 45 1.6× 28 494
Lihui Wu China 10 207 0.6× 141 0.7× 6 0.2× 53 1.7× 28 1.0× 17 415
Jianhuai Zhang China 12 144 0.4× 64 0.3× 5 0.1× 83 2.6× 49 1.8× 18 336
Yilin Hou China 13 174 0.5× 57 0.3× 2 0.1× 34 1.1× 31 1.1× 40 427
Yuka Hasegawa Japan 12 188 0.5× 31 0.2× 4 0.1× 49 1.5× 59 2.1× 47 436
Hyejin Park South Korea 12 98 0.3× 23 0.1× 21 0.6× 18 0.6× 57 2.0× 20 325
Qiqi Wu China 11 86 0.2× 41 0.2× 8 0.2× 13 0.4× 15 0.5× 43 360

Countries citing papers authored by Xinrui Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xinrui Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinrui Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xinrui Shi. A scholar is included among the top collaborators of Xinrui 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 Xinrui Shi. Xinrui 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
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Wang, Na, Xinrui Shi, You Zhou, et al.. (2025). Association between maternal plasma glucose levels during pregnancy and risk of preterm birth: a retrospective study. BMC Pregnancy and Childbirth. 25(1). 1242–1242.
3.
Gao, Zhiwen, et al.. (2025). Upcycling of polyethylene terephthalate to 1,4-cyclohexanedimethanol in water. Science China Chemistry. 68(5). 2101–2109. 2 indexed citations
4.
Shi, Xinrui, Guoju Yang, Min Zhang, et al.. (2025). Tuning Hydrogenation Catalysis via pH-Responsive Microenvironments in Hydrophobic ZeoliteEncapsulating Palladium. ACS Catalysis. 15(12). 10819–10827. 1 indexed citations
5.
Liu, Lin, Rong Hua, Li Li, et al.. (2024). Axial Shortening Effects of Repeated Low-level Red-light Therapy in Children With High Myopia: A Multicenter Randomized Controlled Trial. American Journal of Ophthalmology. 270. 203–215. 9 indexed citations
6.
Shi, Xinrui, et al.. (2024). Exosomes from Intrahepatic Cholestasis of Pregnancy Induce Cell Apoptosis Through the miRNA-6891-5p/YWHAE Pathway. Digestive Diseases and Sciences. 69(4). 1253–1262. 2 indexed citations
7.
Xu, Xiaoyang, Xinrui Shi, Xiaoting Wen, et al.. (2024). Association of maternal mineral status with the risk of preterm birth: a retrospective cohort study. Frontiers in Nutrition. 11. 1329720–1329720. 1 indexed citations
8.
Shi, Xinrui, Xukun Li, Jiaqi Li, et al.. (2024). The transcriptional landscape and clinico‐biological characterization of human endogenous retroviruses in esophageal squamous cell carcinoma. International Journal of Cancer. 156(3). 668–678.
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Li, Chenghao, et al.. (2022). Genome-wide characterization of RNA editing highlights roles of high editing events of glutamatergic synapse during mouse retinal development. Computational and Structural Biotechnology Journal. 20. 2648–2656. 1 indexed citations
12.
Dong, Ruirui, Jing Wang, Tiejun Wang, et al.. (2022). Serum Exosomes MicroRNAs Are Novel Non-Invasive Biomarkers of Intrahepatic Cholestasis of Pregnancy. Frontiers in Endocrinology. 13. 832577–832577. 8 indexed citations
13.
Wang, Changming, Zhibin Wang, Lei Liu, et al.. (2021). Impairment of auditory integration in subjective cognitive decline, amnestic mild cognitive impairment, and Alzheimer’s disease. Alzheimer s & Dementia. 17(S5).
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Shi, Xinrui, et al.. (2020). Association between atherosclerosis and Alzheimer's disease: A systematic review and meta‐analysis. Brain and Behavior. 10(4). e01601–e01601. 39 indexed citations
16.
Zhang, Hui, Xinrui Shi, Tao Huang, et al.. (2020). Dynamic landscape and evolution of m6A methylation in human. Nucleic Acids Research. 48(11). 6251–6264. 265 indexed citations breakdown →
17.
Zhang, Hui, Qiang Fu, Xinrui Shi, et al.. (2020). Human A-to-I RNA editing SNP loci are enriched in GWAS signals for autoimmune diseases and under balancing selection. Genome biology. 21(1). 288–288. 10 indexed citations
18.
Xing, Yi, Penghu Wei, Changming Wang, et al.. (2020). TRanscranial AlterNating current Stimulation FOR patients with Mild Alzheimer's Disease (TRANSFORM‐AD study): Protocol for a randomized controlled clinical trial. Alzheimer s & Dementia Translational Research & Clinical Interventions. 6(1). e12005–e12005. 21 indexed citations
19.
Shi, Xinrui, et al.. (2019). Plasma Clusterin as a Potential Biomarker for Alzheimer’s Disease-A Systematic Review and Meta-analysis. Current Alzheimer Research. 16(11). 1018–1027. 7 indexed citations
20.
Li, Lishi, Yulong Song, Xinrui Shi, et al.. (2017). The landscape of miRNA editing in animals and its impact on miRNA biogenesis and targeting. Genome Research. 28(1). 132–143. 81 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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