Guang Yu

707 total citations
12 papers, 567 citations indexed

About

Guang Yu is a scholar working on Surgery, Molecular Biology and Cancer Research. According to data from OpenAlex, Guang Yu has authored 12 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Guang Yu's work include MicroRNA in disease regulation (2 papers), Inflammation biomarkers and pathways (1 paper) and Extracellular vesicles in disease (1 paper). Guang Yu is often cited by papers focused on MicroRNA in disease regulation (2 papers), Inflammation biomarkers and pathways (1 paper) and Extracellular vesicles in disease (1 paper). Guang Yu collaborates with scholars based in China. Guang Yu's co-authors include Jiafeng Wang, Xiaoming Deng, Manli Yu, Jinjun Bian, Xiaojian Wan, Keming Zhu, Ye Feng, Liren Qian, Yiyuan Xia and Kuan Zeng and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Guang Yu

12 papers receiving 561 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Guang Yu 252 241 114 113 80 12 567
Lixia Xu 292 1.2× 151 0.6× 38 0.3× 77 0.7× 27 0.3× 34 564
Qian Nie 377 1.5× 118 0.5× 35 0.3× 82 0.7× 74 0.9× 62 616
Jinyu Chi 257 1.0× 51 0.2× 92 0.8× 69 0.6× 52 0.7× 26 487
Jiangwei Zhang 313 1.2× 67 0.3× 48 0.4× 41 0.4× 85 1.1× 17 568
Huiyi Jin 244 1.0× 72 0.3× 41 0.4× 70 0.6× 82 1.0× 24 594
Xueying Luo 351 1.4× 317 1.3× 102 0.9× 133 1.2× 42 0.5× 16 638
Elisabetta Mormone 317 1.3× 50 0.2× 74 0.6× 149 1.3× 68 0.8× 18 727
Li‐Yuan Chen 281 1.1× 123 0.5× 87 0.8× 240 2.1× 125 1.6× 15 641
Macarena Rodríguez‐Serrano 245 1.0× 65 0.3× 62 0.5× 43 0.4× 43 0.5× 10 470

Countries citing papers authored by Guang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Guang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Guang Yu. A scholar is included among the top collaborators of Guang Yu 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 Guang Yu. Guang Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Yu, Guang, et al.. (2023). Predictive value of hyperglycemia on infection in critically ill patients with acute pancreatitis. Scientific Reports. 13(1). 4106–4106. 6 indexed citations
2.
Yu, Guang, et al.. (2022). Ultrasound dynamic monitoring of IVCD to guide application of CRRT in patients with renal failure combined with acute heart failure. Scientific Reports. 12(1). 14041–14041. 2 indexed citations
3.
Wan, Liu, Yingxian Sun, Guang Yu, et al.. (2020). Protective Effects on Hypoxia Reoxygenation Cardiomyocytes by GLP-1R Agonists via PI3K/AKT Signaling Pathway. International journal of gerontology. 14(3). 168–173. 2 indexed citations
4.
Meng, Yan, Qun Xie, Wenjing Yi, et al.. (2015). miR-98 protects endothelial cells against hypoxia/reoxygenation induced-apoptosis by targeting caspase-3. Biochemical and Biophysical Research Communications. 467(3). 595–601. 32 indexed citations
5.
Wang, Jiafeng, et al.. (2014). miRNA expression profile in rat kidney during renal ischemia/reperfusion injury:screening and analysis. Academic Journal of Second Military Medical University. 35(5). 465–465. 1 indexed citations
6.
Feng, Ye, Yiyuan Xia, Guang Yu, et al.. (2013). Cleavage of GSK‐3β by calpain counteracts the inhibitory effect of Ser9 phosphorylation on GSK‐3β activity induced by H2O2. Journal of Neurochemistry. 126(2). 234–242. 81 indexed citations
7.
Li, Juan, Xianhua Gao, Qi Bian, et al.. (2012). Comparative Study of Scientific Publications in Urology and Nephrology Journals Originating from USA, China and Japan (2001–2010). PLoS ONE. 7(8). e42200–e42200. 14 indexed citations
8.
Fei, Wang, Guang Yu, Jinbao Li, et al.. (2010). Hydrogen-Rich Saline Protects Against Renal Ischemia/Reperfusion Injury in Rats. Journal of Surgical Research. 167(2). e339–e344. 94 indexed citations
9.
Wang, Jiafeng, Manli Yu, Guang Yu, et al.. (2010). Serum miR-146a and miR-223 as potential new biomarkers for sepsis. Biochemical and Biophysical Research Communications. 394(1). 184–188. 288 indexed citations
10.
Yu, Guang, et al.. (2010). WS1 gene mutation analysis of Wolfram syndrome in a Chinese patient and a systematic review of literatures. Endocrine. 38(2). 147–152. 16 indexed citations
11.
Fang, Min, et al.. (2005). Gene delivery of SOCS3 protects mice from lethal endotoxic shock.. PubMed. 2(5). 373–7. 30 indexed citations
12.
Yu, Guang, Hua Yang, & Yueyang Zhao. (2005). [Analysis of authors of articles published in Chinese Journal of Ophthalmology from 1995 to 2004].. PubMed. 41(8). 763–6. 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.

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