Caixia Guo

2.5k total citations · 1 hit paper
64 papers, 1.9k citations indexed

About

Caixia Guo is a scholar working on Molecular Biology, Clinical Biochemistry and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Caixia Guo has authored 64 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Clinical Biochemistry and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Caixia Guo's work include Advanced Glycation End Products research (15 papers), Cardiac Ischemia and Reperfusion (11 papers) and Air Quality and Health Impacts (5 papers). Caixia Guo is often cited by papers focused on Advanced Glycation End Products research (15 papers), Cardiac Ischemia and Reperfusion (11 papers) and Air Quality and Health Impacts (5 papers). Caixia Guo collaborates with scholars based in China, United States and Canada. Caixia Guo's co-authors include Yanbo Li, Jiming Kong, Xueping Chen, Buxing Chen, Junchao Duan, Xianqing Zhou, Yang Yu, Lemin Zheng, Xiangjun Zeng and Bing Pan and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Caixia Guo

60 papers receiving 1.9k citations

Hit Papers

The potential toxicity of... 2023 2026 2024 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caixia Guo China 19 688 298 289 211 210 64 1.9k
Yang Long China 21 496 0.7× 110 0.4× 206 0.7× 247 1.2× 205 1.0× 72 1.6k
Mohammad Ali Eghbal Iran 28 552 0.8× 206 0.7× 218 0.8× 182 0.9× 173 0.8× 55 2.1k
Chengzhi Chen China 29 980 1.4× 302 1.0× 143 0.5× 237 1.1× 140 0.7× 121 2.4k
Ok‐Nam Bae South Korea 34 1.3k 1.9× 180 0.6× 748 2.6× 324 1.5× 154 0.7× 121 3.5k
Moo‐Yeol Lee South Korea 23 660 1.0× 189 0.6× 172 0.6× 99 0.5× 118 0.6× 76 1.9k
Ruixin Liu China 30 1.1k 1.7× 220 0.7× 379 1.3× 237 1.1× 165 0.8× 132 2.6k
Ning Gu China 22 448 0.7× 208 0.7× 299 1.0× 137 0.6× 102 0.5× 72 1.3k
Chun Pan Taiwan 24 792 1.2× 115 0.4× 183 0.6× 64 0.3× 133 0.6× 100 1.9k
Tao Zeng China 28 783 1.1× 141 0.5× 134 0.5× 590 2.8× 135 0.6× 111 2.6k
Huifeng Pi China 29 972 1.4× 176 0.6× 252 0.9× 466 2.2× 112 0.5× 71 2.6k

Countries citing papers authored by Caixia Guo

Since Specialization
Citations

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

Fields of papers citing papers by Caixia Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caixia Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Caixia Guo. A scholar is included among the top collaborators of Caixia Guo 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 Caixia Guo. Caixia Guo 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.
Wu, Huazhang, et al.. (2025). Alkaline Phosphatase to Albumin Ratio as a Novel Predictor of All‐Cause Mortality in Critically Ill Patients With Atrial Fibrillation. Cardiology Research and Practice. 2025(1). 1283547–1283547.
2.
3.
Wu, Z. & Caixia Guo. (2025). Deep learning and electrocardiography: systematic review of current techniques in cardiovascular disease diagnosis and management. BioMedical Engineering OnLine. 24(1). 23–23. 7 indexed citations
5.
Yu, Ligang, Xiaoyue Zhang, Caixia Guo, Meiping Li, & Maomao Zeng. (2024). Inhibitory effect of chlorogenic acid and vanillic acid on fluorescent advanced glycation end products formation in low-temperature-processed pork meat. Food Bioscience. 62. 105041–105041. 3 indexed citations
6.
Lv, Songqing, et al.. (2024). Silica nanoparticles triggered epithelial ferroptosis via miR-21-5p/GCLM signaling to contribute to fibrogenesis in the lungs. Chemico-Biological Interactions. 399. 111121–111121. 7 indexed citations
7.
Zhang, Jie, et al.. (2024). Soluble RAGE attenuates myocardial I/R injury by suppressing interleukin-6. The American Journal of the Medical Sciences. 369(2). 228–237. 1 indexed citations
8.
Liu, Yufan, Yan Li, Hailin Xu, et al.. (2023). Pre- and postnatal particulate matter exposure and blood pressure in children and adolescents: A systematic review and meta-analysis. Environmental Research. 223. 115373–115373. 7 indexed citations
10.
Li, Long, Changdong Guan, Shuai Meng, et al.. (2020). Short- and long-term functional results following drug-coated balloons versus drug- eluting stents in small coronary vessels: The RESTORE quantitative flow ratio study. International Journal of Cardiology. 327. 45–51. 10 indexed citations
11.
Li, Long, Yuesong Pan, Mengxing Wang, et al.. (2020). Trends and predictors of myocardial infarction or vascular death after ischaemic stroke or TIA in China, 2007–2018: insights from China National Stroke Registries. Stroke and Vascular Neurology. 6(2). 214–221. 15 indexed citations
12.
Zeng, Xiangjun, Hongxia Wang, Hui‐Hua Li, et al.. (2017). GW28-e0833 Inhibition of myocardial ischemia/reperfusion apoptosis by soluble receptor for advanced glycation end-product (sRAGE) via interferon-induced immunoproteasome activity. Journal of the American College of Cardiology. 70(16). C31–C32. 2 indexed citations
13.
Zou, Yang, Qiuling Li, Lizhen Jiang, et al.. (2016). DNA Hypermethylation of CREB3L1 and Bcl-2 Associated with the Mitochondrial-Mediated Apoptosis via PI3K/Akt Pathway in Human BEAS-2B Cells Exposure to Silica Nanoparticles. PLoS ONE. 11(6). e0158475–e0158475. 39 indexed citations
14.
Guo, Caixia & Lihong Ma. (2015). TCTAP A-027 Panax Notoginseng Saponins Safely Boost Cardiac Function and Anti-apoptosis in a Myocardial Infarction Model in the Rat via the MEK/ERK Pathway. Journal of the American College of Cardiology. 65(17). S12–S12. 1 indexed citations
15.
Jiang, Xue, Caixia Guo, Xiangjun Zeng, et al.. (2015). A soluble receptor for advanced glycation end-products inhibits myocardial apoptosis induced by ischemia/reperfusion via the JAK2/STAT3 pathway. APOPTOSIS. 20(8). 1033–1047. 45 indexed citations
16.
Guo, Caixia, Hongxia Wang, Yajie Wang, et al.. (2013). Cardioprotective effects of adipokine apelin on myocardial infarction. Heart and Vessels. 29(5). 679–689. 44 indexed citations
17.
Chen, Xueping, Caixia Guo, & Jiming Kong. (2012). Oxidative stress in neurodegenerative diseases.. PubMed. 7(5). 376–85. 290 indexed citations
18.
Guo, Caixia, Yanbo Li, Haixia Zhang, et al.. (2011). Enhancement of Antiproliferative and Proapoptotic Effects of Cadmium Chloride Combined with hSmac in Hepatocellular Carcinoma Cells. Chemotherapy. 57(1). 27–34. 8 indexed citations
19.
Guo, Caixia. (2009). Study on apoptosis of rats H9c2 cells induced by cadmium chloride. Chinese Journal of Public Health. 1 indexed citations
20.
Guo, Caixia, Lisa M. Savage, Kevin D. Sarge, & Ok-Kyong Park-Sarge. (2001). Gonadotropins Decrease Estrogen Receptor-β Messenger Ribonucleic Acid Stability in Rat Granulosa Cells*. Endocrinology. 142(6). 2230–2237. 16 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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