Hangyuan Guo

3.2k total citations · 2 hit papers
33 papers, 2.2k citations indexed

About

Hangyuan Guo is a scholar working on Cancer Research, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Hangyuan Guo has authored 33 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cancer Research, 11 papers in Molecular Biology and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Hangyuan Guo's work include Protease and Inhibitor Mechanisms (7 papers), Lipoproteins and Cardiovascular Health (4 papers) and Atherosclerosis and Cardiovascular Diseases (4 papers). Hangyuan Guo is often cited by papers focused on Protease and Inhibitor Mechanisms (7 papers), Lipoproteins and Cardiovascular Health (4 papers) and Atherosclerosis and Cardiovascular Diseases (4 papers). Hangyuan Guo collaborates with scholars based in China, United States and Japan. Hangyuan Guo's co-authors include Weiliang Tang, Fang Peng, Yangbo Xing, Yan Zhou, Shuqing Liu, Huahua Liu, Jiahao Peng, Jingjing Zhao, Buyun Xu and Peng Zhang and has published in prestigious journals such as Journal of the American College of Cardiology, Scientific Reports and Biochemical Pharmacology.

In The Last Decade

Hangyuan Guo

33 papers receiving 2.1k citations

Hit Papers

Risk factors of critical ... 2020 2026 2022 2024 2020 2020 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hangyuan Guo China 13 974 522 443 381 278 33 2.2k
Huiguo Liu China 23 2.0k 2.1× 1.2k 2.3× 176 0.4× 625 1.6× 473 1.7× 102 3.6k
D. Wright United Kingdom 50 874 0.9× 239 0.5× 672 1.5× 145 0.4× 330 1.2× 140 10.1k
Fang Peng China 18 1.1k 1.1× 544 1.0× 191 0.4× 497 1.3× 381 1.4× 84 2.5k
Chunlian Ma China 13 1.2k 1.2× 625 1.2× 69 0.2× 279 0.7× 368 1.3× 21 2.1k
Alex Milinovich United States 24 516 0.5× 292 0.6× 222 0.5× 240 0.6× 197 0.7× 79 2.0k
Li Niu China 16 1.2k 1.3× 669 1.3× 62 0.1× 335 0.9× 266 1.0× 43 2.2k
Pascale Tubert‐Bitter France 22 402 0.4× 181 0.3× 102 0.2× 189 0.5× 107 0.4× 70 1.8k
Mingwei Bao China 13 616 0.6× 467 0.9× 274 0.6× 243 0.6× 151 0.5× 39 1.3k
Wei Gong China 18 2.4k 2.5× 1.5k 2.8× 1.1k 2.5× 657 1.7× 529 1.9× 84 4.4k
Concetta Rafaniello Italy 28 372 0.4× 165 0.3× 265 0.6× 438 1.1× 394 1.4× 98 2.2k

Countries citing papers authored by Hangyuan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Hangyuan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hangyuan Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Hangyuan Guo. A scholar is included among the top collaborators of Hangyuan 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 Hangyuan Guo. Hangyuan 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.
Sun, Jing, Jiedong Zhou, Hui Lin, et al.. (2023). Protective effect of urotensin II receptor antagonist urantide and exercise training on doxorubicin-induced cardiotoxicity. Scientific Reports. 13(1). 1279–1279. 5 indexed citations
2.
Zhou, Jiedong, Fang Wang, Peipei Zhang, et al.. (2023). Inhibiting mir-34a-5p regulates doxorubicin-induced autophagy disorder and alleviates myocardial pyroptosis by targeting Sirt3-AMPK pathway. Biomedicine & Pharmacotherapy. 168. 115654–115654. 27 indexed citations
3.
Xie, Wenqing, Nan Liu, Jinjin Yang, et al.. (2023). Herpud1 deficiency alleviates homocysteine-induced aortic valve calcification. Cell Biology and Toxicology. 39(6). 2665–2684. 7 indexed citations
4.
Liu, Nan, et al.. (2022). A Nomogram for Predicting Patent Foramen Ovale-Related Stroke Recurrence. Frontiers in Neurology. 13. 903789–903789. 2 indexed citations
5.
Zheng, Jianwei, et al.. (2020). A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients. Scientific Data. 7(1). 48–48. 283 indexed citations breakdown →
6.
Peng, Fang, Buyun Xu, Jingjing Zhao, et al.. (2020). Risk factors of critical & mortal COVID-19 cases: A systematic literature review and meta-analysis. Journal of Infection. 81(2). e16–e25. 1410 indexed citations breakdown →
7.
Sun, Zhenzhu, Wenqiang Lu, Na Lin, et al.. (2020). Dihydromyricetin alleviates doxorubicin-induced cardiotoxicity by inhibiting NLRP3 inflammasome through activation of SIRT1. Biochemical Pharmacology. 175. 113888–113888. 124 indexed citations
8.
9.
Ma, Lijuan, et al.. (2019). Effect of Jiawei Shenfu decoction on tumor necrosis factor-alpha and nuclear factor-kappa B in patients who have chronic heart failure with syndromes of deficiency of heart Yang.. PubMed. 39(3). 418–424. 4 indexed citations
10.
Shan, Ling, et al.. (2018). Impaired fear extinction in serotonin transporter knockout rats is associated with increased 5‐hydroxymethylcytosine in the amygdala. CNS Neuroscience & Therapeutics. 24(9). 810–819. 17 indexed citations
11.
Liu, Longbin, Liping Meng, Peng Zhang, et al.. (2018). Angiotensin II inhibits the protein expression of ZO‑1 in vascular endothelial cells by downregulating VE‑cadherin. Molecular Medicine Reports. 18(1). 429–434. 9 indexed citations
12.
Xu, Feng, Gang Li, Zhenhua Zhao, et al.. (2017). RASSF1A promoter methylation is associated with increased risk of thyroid cancer: a meta-analysis. OncoTargets and Therapy. Volume 10. 247–257. 15 indexed citations
13.
Meng, Liping, Longbin Liu, Sunlei Pan, et al.. (2016). Polyphenols and Polypeptides in Chinese Rice Wine Inhibit Homocysteine-induced Proliferation and Migration of Vascular Smooth Muscle Cells. Journal of Cardiovascular Pharmacology. 67(6). 482–490. 25 indexed citations
14.
Meng, Liping, et al.. (2015). GW26-e0197 Exploring the Active Ingredients in Chinese Yellow Wine Which Could Inhibit the Progress of Atherosclerosis in LDLR Knockout Mice. Journal of the American College of Cardiology. 66(16). C6–C7. 1 indexed citations
16.
Guo, Hangyuan, Weiliang Tang, Longbin Liu, et al.. (2012). Rosuvastatin may Modulate Insulin Signaling and Inhibit Atherogenesis Beyond its Plasma Cholesterol-Lowering Effect in Insulin-Resistant Mice. Cardiovascular Drugs and Therapy. 26(5). 375–382. 6 indexed citations
17.
Tang, Weiliang, et al.. (2010). Suppression of tissue inhibitors of metalloproteinases may reverse severe pulmonary arterial hypertension. Cytotherapy. 13(4). 499–502. 5 indexed citations
18.
Guo, Hangyuan, et al.. (2009). Rosuvastatin Inhibits MMP-2 Expression and Limits the Progression of Atherosclerosis in LDLR-deficient Mice. Archives of Medical Research. 40(5). 345–351. 28 indexed citations
19.
Guo, Hangyuan, Jong‐Dae Lee, Hiroyasu Uzui, et al.. (2007). Effects of heparin on the production of homocysteine-induced extracellular matrix metalloproteinase-2 in cultured rat vascular smooth muscle cells. Canadian Journal of Cardiology. 23(4). 275–280. 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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