Chao Yin

1.3k total citations · 1 hit paper
81 papers, 878 citations indexed

About

Chao Yin is a scholar working on Molecular Biology, Surgery and Food Science. According to data from OpenAlex, Chao Yin has authored 81 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 16 papers in Surgery and 16 papers in Food Science. Recurrent topics in Chao Yin's work include Salmonella and Campylobacter epidemiology (16 papers), Viral gastroenteritis research and epidemiology (9 papers) and Bacteriophages and microbial interactions (8 papers). Chao Yin is often cited by papers focused on Salmonella and Campylobacter epidemiology (16 papers), Viral gastroenteritis research and epidemiology (9 papers) and Bacteriophages and microbial interactions (8 papers). Chao Yin collaborates with scholars based in China, United States and Japan. Chao Yin's co-authors include Xinan Jiao, Qiuchun Li, Ruqian Zhao, Bin He, Jie Liu, Yu Yuan, Huiduo Guo, Yabin Gong, Lijuan Xu and Yongjun Lin and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Journal of Hazardous Materials.

In The Last Decade

Chao Yin

74 papers receiving 872 citations

Hit Papers

Nepeta cataria L. leaf extracts as eco-conscious corrosio... 2025 2026 2025 10 20 30 40 50
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. Nepeta cataria L. leaf extracts as eco-conscious corrosion inhibitor for copper in H2SO4 medium
    2025 50 citations Chao Yin et al. profile →

Peers

Chao Yin
Hidetomo Iwano Japan
Angelika Bondzio Germany
Kristel Demeyere Belgium
Tomás Martín‐Jiménez United States
Mahmut Sözmen Türkiye
Shumin Yu China
Warren Thomas Ireland
Jarmo Ritari Finland
Sonia Morales Spain
Martı́n Rumbo Argentina
Hidetomo Iwano Japan
Chao Yin
Citations per year, relative to Chao Yin Chao Yin (= 1×) peers Hidetomo Iwano

Countries citing papers authored by Chao Yin

Since Specialization
Citations

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

Fields of papers citing papers by Chao Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Yin. A scholar is included among the top collaborators of Chao Yin 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 Chao Yin. Chao Yin 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.
Zhang, Jinbi, Chao Yin, Li Fan, et al.. (2025). circVEGFA inhibits apoptosis in porcine ovarian granulosa cells by binding to miR-21-3p and up-regulating TMX4 expression. Journal of Ovarian Research. 18(1). 155–155.
2.
Gao, Pan, Hongyuan Zhang, Lin Li, et al.. (2025). G Protein–Coupled Receptor Kinase 3 Exacerbates Diabetic Heart Injuries Through Direct Phosphorylation of Cannabinoid Receptor 2 in Humans and Mice. Circulation. 152(12). 882–898. 12 indexed citations
3.
Yin, Chao, Kai Jin, Chiu‐Ching Huang, et al.. (2025). Low-density lipoprotein receptor-related protein 6 ameliorates cardiac hypertrophy by regulating CTSD/HSP90α signaling during pressure overload. Acta Pharmacologica Sinica. 46(3). 606–617. 2 indexed citations
4.
Jin, Kai, Chiu‐Ching Huang, Chao Yin, et al.. (2025). Inflammation-Related Factors S100A9 and TLR2 in Cardiomyocyte Hypertrophy. Current Medical Science. 45(4). 819–830.
5.
Wang, Minghui, et al.. (2024). Research on PCB defect detection method based on improved YOLOv8. 118–118.
6.
Jin, Xuejuan, Jian Wu, Jingyi Lin, et al.. (2024). Cardiac secreted HSP90α exacerbates pressure overload myocardial hypertrophy and heart failure. Redox Biology. 79. 103466–103466. 4 indexed citations
7.
Cui, Yong, Yujie Wang, Qingjie Zeng, et al.. (2024). Epigenetic regulation of H3K27me3 in laying hens with fatty liver hemorrhagic syndrome induced by high-energy and low-protein diets. BMC Genomics. 25(1). 374–374. 2 indexed citations
8.
Qiu, Jiangbing, et al.. (2024). Spatial distribution of lipophilic shellfish toxins in seawater and sediment in the Bohai Sea and the Yellow Sea, China. Chemosphere. 362. 142780–142780. 2 indexed citations
9.
Li, Aifeng, Jiangbing Qiu, Dongmei Gao, et al.. (2023). Responses of the intestinal microbiota to exposure of okadaic acid in marine medaka Oryzias melastigma. Journal of Hazardous Materials. 465. 133087–133087. 9 indexed citations
10.
Yin, Chao, et al.. (2022). The Salmonella T3SS1 effector IpaJ is regulated by ItrA and inhibits the MAPK signaling pathway. PLoS Pathogens. 18(12). e1011005–e1011005. 5 indexed citations
11.
Zou, Yan, Yi Shen, Xiang Wang, et al.. (2021). Cardiac Wnt5a and Wnt11 promote fibrosis by the crosstalk of FZD5 and EGFR signaling under pressure overload. Cell Death and Disease. 12(10). 877–877. 24 indexed citations
12.
Li, Bin, Qingling Lin, Qiliang Hou, et al.. (2019). Alkannin attenuates lipopolysaccharide‐induced lung injury in mice via Rho/ROCK/NF‐κB pathway. Journal of Biochemical and Molecular Toxicology. 33(7). e22323–e22323. 8 indexed citations
13.
Wang, Ying, Chao Yin, Zhidan Chen, et al.. (2019). Cardiac-specific LRP6 knockout induces lipid accumulation through Drp1/CPT1b pathway in adult mice. Cell and Tissue Research. 380(1). 143–153. 8 indexed citations
14.
Li, Qiuchun, Yuan Yu, Xin Wang, et al.. (2018). Comparative study of Salmonella enterica serovar Enteritidis genes expressed within avian and murine macrophages via selective capture of transcribed sequences (SCOTS). Applied Microbiology and Biotechnology. 102(15). 6567–6579. 3 indexed citations
15.
Xiao, He, Rongxian Guo, Chao Yin, et al.. (2017). Analysis of prevalence and CRISPR typing reveals persistent antimicrobial-resistant Salmonella infection across chicken breeder farm production stages. Food Control. 77. 102–109. 18 indexed citations
16.
Geng, Shizhong, Qin Tian, Rongxian Guo, et al.. (2017). Identification by PCR signature-tagged mutagenesis of attenuated Salmonella Pullorum mutants and corresponding genes in a chicken embryo model. Microbial Pathogenesis. 104. 146–150. 3 indexed citations
17.
18.
Jin, Lü, Xiyuan Zhang, Madisa B. Macon, et al.. (2017). Maternal intake of high n-6 polyunsaturated fatty acid diet during pregnancy causes transgenerational increase in mammary cancer risk in mice. Breast Cancer Research. 19(1). 77–77. 28 indexed citations
19.
Sun, Huahua, Yanping Huang, Chao Yin, et al.. (2016). Lipopolysaccharide markedly changes glucose metabolism and mitochondrial function in the longissimus muscle of pigs. animal. 10(7). 1204–1212. 6 indexed citations
20.

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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