Can Hou

800 total citations
21 papers, 581 citations indexed

About

Can Hou is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Can Hou has authored 21 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Immunology. Recurrent topics in Can Hou's work include Diabetes and associated disorders (6 papers), Pancreatic function and diabetes (4 papers) and Immune Cell Function and Interaction (3 papers). Can Hou is often cited by papers focused on Diabetes and associated disorders (6 papers), Pancreatic function and diabetes (4 papers) and Immune Cell Function and Interaction (3 papers). Can Hou collaborates with scholars based in China, United States and Canada. Can Hou's co-authors include Zhiguang Zhou, Lin Yang, Sheng Zhang, Yaqing Zhou, En‐Zhi Jia, Gan Huang, Shu He, Yanjun Wang, Lei Hua and Qiaowei Jia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes Care and Journal of Agricultural and Food Chemistry.

In The Last Decade

Can Hou

20 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Can Hou China 12 172 167 148 138 116 21 581
Taisei Nakao Japan 14 85 0.5× 57 0.3× 94 0.6× 91 0.7× 113 1.0× 34 545
An-Sofie Vanherwegen Belgium 10 58 0.3× 98 0.6× 58 0.4× 90 0.7× 85 0.7× 15 754
Lucia Quaglietta Italy 14 78 0.5× 195 1.2× 189 1.3× 291 2.1× 15 0.1× 38 730
Ahmed Amer Germany 11 26 0.2× 40 0.2× 87 0.6× 73 0.5× 106 0.9× 25 443
Moritz Meyer Austria 6 120 0.7× 89 0.5× 68 0.5× 135 1.0× 22 0.2× 8 426
Masashi Uchida Japan 12 44 0.3× 60 0.4× 161 1.1× 89 0.6× 12 0.1× 63 477
Letícia de Almeida Brondani Brazil 11 58 0.3× 60 0.4× 48 0.3× 77 0.6× 45 0.4× 22 370
Pietro Locantore Italy 12 42 0.2× 44 0.3× 133 0.9× 107 0.8× 208 1.8× 39 521
Michał Drews Poland 15 32 0.2× 170 1.0× 385 2.6× 205 1.5× 38 0.3× 63 856
Shabnam Momtahen United States 12 19 0.1× 55 0.3× 108 0.7× 84 0.6× 48 0.4× 48 596

Countries citing papers authored by Can Hou

Since Specialization
Citations

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

Fields of papers citing papers by Can Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Can Hou. A scholar is included among the top collaborators of Can Hou 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 Can Hou. Can Hou 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
2.
Hu, Jie, et al.. (2024). Mean Blood Glucose Level During ICU Hospitalization is a Strong Predictor of the Mortality of COVID-19. Diabetes Metabolic Syndrome and Obesity. Volume 17. 1903–1909. 1 indexed citations
3.
Luo, Cheng, et al.. (2023). Urolithin C alleviates pancreatic β-cell dysfunction in type 1 diabetes by activating Nrf2 signaling. Nutrition and Diabetes. 13(1). 24–24. 6 indexed citations
4.
Hou, Can, Yong Wang, Yanjun Wang, et al.. (2022). Circular RNA expression profile of H2O2 induced ferroptosis model of human coronary artery endothelial cells. SHILAP Revista de lepidopterología. 49. 1–11. 3 indexed citations
5.
Hua, Lei, Yaqing Zhou, Can Hou, et al.. (2021). Shexiang Baoxin Pills Inhibited Proliferation and Migration of Human Coronary Artery Smooth Muscle Cells via PI3K/AKT/mTOR Pathway. Frontiers in Cardiovascular Medicine. 8. 700630–700630. 8 indexed citations
6.
Zhou, Yaqing, Sheng Zhang, Lei Hua, et al.. (2021). LncRNA Landscape of Coronary Atherosclerosis Reveals Differentially Expressed LncRNAs in Proliferation and Migration of Coronary Artery Smooth Muscle Cells. Frontiers in Cell and Developmental Biology. 9. 656636–656636. 16 indexed citations
7.
Zhou, Yaqing, Tao Han, Jiaxin Chen, et al.. (2020). Clinical and Autoimmune Characteristics of Severe and Critical Cases of COVID‐19. Clinical and Translational Science. 13(6). 1077–1086. 221 indexed citations
8.
Wang, Yanfei, Can Hou, Jon Wisler, et al.. (2018). Elevated histone H3 acetylation is associated with genes involved in T lymphocyte activation and glutamate decarboxylase antibody production in patients with type 1 diabetes. Journal of Diabetes Investigation. 10(1). 51–61. 17 indexed citations
9.
He, Zhihui, Yan Chen, Can Hou, Wenfang He, & Ping Chen. (2017). Cigarette Smoke Extract Changes Expression of Endothelial Nitric Oxide Synthase (eNOS) and p16(INK4a) and is Related to Endothelial Progenitor Cell Dysfunction. Medical Science Monitor. 23. 3224–3231. 19 indexed citations
10.
Hou, Can, Yanjun Zhong, Zhen Wang, et al.. (2017). STAT3-mediated epigenetic silencing of FOXP3 in LADA T cells is regulated through HDAC5 and DNMT1. Clinical Immunology. 191. 116–125. 19 indexed citations
11.
Yang, Shuming, et al.. (2016). Comparative study between macrolide regulatory proteins MphR(A) and MphR(E) in ligand identification and DNA binding based on the rapid in vitro detection system. Analytical and Bioanalytical Chemistry. 408(6). 1623–1631. 11 indexed citations
12.
Zhang, Yudong, Minhan Yi, Jie Cao, et al.. (2016). Serum cross-linked N-telopeptide of type I collagen for the diagnosis of bone metastases from solid tumours in the Chinese population: Meta-analysis. Journal of International Medical Research. 44(2). 192–200. 12 indexed citations
13.
Zhao, Luyao, Shuming Yang, Yanhua Zhang, et al.. (2016). New Analytical Tool for the Detection of Ractopamine Abuse in Goat Skeletal Muscle by Potential Gene Expression Biomarkers. Journal of Agricultural and Food Chemistry. 64(8). 1861–1867. 7 indexed citations
14.
Ouyang, Lin, et al.. (2015). [Intervention and therapeutic effect of siRNA-HDAC5 on abnormal histone modification in non-obese diabetic mice].. PubMed. 40(5). 464–70. 1 indexed citations
15.
Li, Xia, Yufei Xiang, Gan Huang, et al.. (2014). Latent Autoimmune Diabetes in Adults With Low-Titer GAD Antibodies: Similar Disease Progression With Type 2 Diabetes. Diabetes Care. 38(1). 16–21. 71 indexed citations
16.
Wang, Zhen, Ying Zheng, Can Hou, et al.. (2013). DNA methylation impairs TLR9 induced Foxp3 expression by attenuating IRF-7 binding activity in fulminant type 1 diabetes. Journal of Autoimmunity. 41. 50–59. 54 indexed citations
17.
Ouyang, Lin, et al.. (2013). Quantitative analysis of the association between interleukin-10 1082A/G polymorphism and susceptibility to sepsis. Molecular Biology Reports. 40(7). 4327–4332. 13 indexed citations
18.
Li, Yijun, Ming Zhao, Can Hou, et al.. (2011). Abnormal DNA methylation in CD4+ T cells from people with latent autoimmune diabetes in adults. Diabetes Research and Clinical Practice. 94(2). 242–248. 50 indexed citations
19.
Hou, Can, et al.. (2011). [Histone H3 acetylation of tumor necrosis factor-alpha and cyclooxygenase-2 in patients with type 2 diabetes].. PubMed. 91(26). 1805–8. 8 indexed citations
20.
Wang, Jian‐Ping, Zhiguang Zhou, Jian Lin, et al.. (2007). Islet autoantibodies are associated with HLA‐DQ genotypes in Han Chinese patients with type 1 diabetes and their relatives. Tissue Antigens. 70(5). 369–375. 22 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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