Yu Shi

7.1k total citations · 1 hit paper
103 papers, 5.2k citations indexed

About

Yu Shi is a scholar working on Epidemiology, Hepatology and Immunology. According to data from OpenAlex, Yu Shi has authored 103 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Epidemiology, 37 papers in Hepatology and 17 papers in Immunology. Recurrent topics in Yu Shi's work include Liver Disease Diagnosis and Treatment (35 papers), Liver Disease and Transplantation (31 papers) and Hepatitis B Virus Studies (16 papers). Yu Shi is often cited by papers focused on Liver Disease Diagnosis and Treatment (35 papers), Liver Disease and Transplantation (31 papers) and Hepatitis B Virus Studies (16 papers). Yu Shi collaborates with scholars based in China, United States and Pakistan. Yu Shi's co-authors include Min Zheng, Zhi Chen, Qiao Yang, Ying Yang, Yanning Liu, Jiliang He, Guangzhong Song, Shuping Li, Feng Chen and Hangdi Xu and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Hepatology.

In The Last Decade

Yu Shi

99 papers receiving 5.1k citations

Hit Papers

Resveratrol Reduces the Proinflammatory Effects and Lipop... 2014 2026 2018 2022 2014 500 1000 1.5k 2.0k 2.5k
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. Resveratrol Reduces the Proinflammatory Effects and Lipopolysaccharide- Induced Expression of HMGB1 and TLR4 in RAW264.7 Cells
    2014 2.7k citations Ying Yang, Qiao Yang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Shi China 27 1.6k 1.3k 1.2k 1.0k 592 103 5.2k
Min Zheng China 46 1.8k 1.1× 4.6k 3.5× 1.6k 1.3× 898 0.9× 619 1.0× 247 9.7k
Kan Chen China 46 1.3k 0.8× 2.2k 1.7× 661 0.6× 742 0.7× 121 0.2× 180 5.6k
Jianguo Chen China 41 1.2k 0.7× 2.6k 2.0× 1.0k 0.9× 717 0.7× 108 0.2× 179 5.9k
Tian Lan China 38 920 0.6× 2.3k 1.8× 630 0.5× 565 0.6× 87 0.1× 134 4.5k
Xue Qin China 37 1.0k 0.6× 2.3k 1.7× 729 0.6× 420 0.4× 91 0.2× 348 6.3k
Angela D’Angelo Italy 45 930 0.6× 2.0k 1.5× 442 0.4× 214 0.2× 847 1.4× 319 8.0k
Uta Dahmen Germany 30 1.0k 0.7× 637 0.5× 362 0.3× 900 0.9× 128 0.2× 190 3.1k
Korbinian Brand Germany 42 1.0k 0.7× 2.1k 1.6× 2.3k 2.0× 252 0.2× 134 0.2× 112 7.5k
Xiangdong Wang China 49 975 0.6× 3.8k 2.8× 648 0.6× 649 0.6× 90 0.2× 312 7.9k
Shan Zeng China 46 615 0.4× 2.8k 2.1× 1.7k 1.5× 257 0.3× 378 0.6× 286 7.4k

Countries citing papers authored by Yu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Shi. A scholar is included among the top collaborators of Yu 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 Yu Shi. Yu 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.
2.
Zhou, Hui, Hai Li, Guohong Deng, et al.. (2025). A novel model for identifying infections in patients with AoCLD: a nationwide, multicenter, prospective cohort study. QJM. 118(7). 489–500. 1 indexed citations
3.
Yang, Xianbin, Xinhong Wang, Yu Shi, et al.. (2025). Small-Sample Battery Capacity Prediction Using a Multi-Feature Transfer Learning Framework. Batteries. 11(2). 62–62. 2 indexed citations
4.
5.
Xu, Xianbin, et al.. (2023). The burden of liver cirrhosis and underlying etiologies: results from the Global Burden of Disease Study 2019. Hepatology Communications. 7(2). e0026–e0026. 36 indexed citations
6.
Shi, Yu & Zhe Liu. (2023). Evolution from Medical Imaging to Visualized Medicine. Advances in experimental medicine and biology. 1199. 1–13.
7.
8.
Ying, Shuni, Duo Lv, Dingxian Zhu, et al.. (2022). Development and validation of the AF score for diagnosis of adult-onset Still's disease in fever of unknown origin. Journal of Translational Autoimmunity. 6. 100184–100184. 4 indexed citations
9.
Wang, Xianbo, Guohong Deng, Yan Huang, et al.. (2021). Cohort profile: a multicentre prospective validation cohort of the Chinese Acute-on-Chronic Liver Failure (CATCH-LIFE) study. BMJ Open. 11(1). e037793–e037793. 6 indexed citations
10.
Ding, Yuwei, Shunli Tang, Sheng Li, et al.. (2021). Risk of macrophage activation syndrome in patients with adult-onset Still's disease with skin involvement: A retrospective cohort study. Journal of the American Academy of Dermatology. 85(6). 1503–1509. 7 indexed citations
11.
Zhu, Ting, et al.. (2020). Scoring system for poor limb perfusion after limb fracture in children. World Journal of Clinical Cases. 8(23). 5926–5934. 2 indexed citations
12.
Shi, Yu, et al.. (2017). Characterization and function analysis of a novel gene, Hc-maoc-1, in the parasitic nematode Haemonochus contortus. Parasites & Vectors. 10(1). 67–67. 11 indexed citations
13.
Zhao, Hong, et al.. (2017). Evaluation of prognostic scoring systems in liver cirrhosis patients with bloodstream infection. Medicine. 96(50). e8844–e8844. 10 indexed citations
14.
Yang, Qiao, Ying Yang, Yu Shi, et al.. (2016). Effects of Granulocyte Colony-Stimulating Factor on Patients with Liver Failure: a Meta-Analysis. Journal of Clinical and Translational Hepatology. 4(2). 90–6. 14 indexed citations
15.
Shi, Yu, Huadong Yan, Hong Fang, et al.. (2015). The Clinical Course of Cirrhosis Patients Hospitalized for Acute Hepatic Deterioration. Medicine. 94(47). e2031–e2031. 9 indexed citations
16.
Yang, Qiao, Yu Shi, Ying Yang, Guohua Lou, & Zhi Chen. (2015). The Sterile Inflammation in the Exacerbation of HBV‐Associated Liver Injury. Mediators of Inflammation. 2015(1). 508681–508681. 16 indexed citations
17.
Yang, Qiao, Yu Shi, Ying Yang, Guohua Lou, & Fangfang Lv. (2015). Association between adefovir dipivoxil treatment and the risk of renal insufficiency in patients with chronic hepatitis B: A meta-analysis. Biomedical Reports. 3(2). 269–275. 4 indexed citations
18.
Li, Peiwei, Jinming Xu, Yu Shi, et al.. (2013). Association between zinc intake and risk of digestive tract cancers: A systematic review and meta-analysis. Clinical Nutrition. 33(3). 415–420. 61 indexed citations
19.
Shi, Yu, et al.. (2011). Contents of Protein Components Stored in Grains and Activities of Related Enzymes in Wheat Cultivars in Different Quality Types. ACTA AGRONOMICA SINICA. 37(11). 2030–2038. 3 indexed citations
20.
Shi, Yu, et al.. (2010). Interferon and lamivudine combination therapy versus lamivudine monotherapy for hepatitis B e antigen-negative hepatitis B treatment: a meta-analysis of randomized controlled trials.. PubMed. 9(5). 462–72. 8 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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