Feng Guo

2.3k total citations
87 papers, 1.7k citations indexed

About

Feng Guo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Feng Guo has authored 87 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 32 papers in Cellular and Molecular Neuroscience and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Feng Guo's work include Neuroscience and Neuropharmacology Research (27 papers), Ion channel regulation and function (21 papers) and Cardiac electrophysiology and arrhythmias (13 papers). Feng Guo is often cited by papers focused on Neuroscience and Neuropharmacology Research (27 papers), Ion channel regulation and function (21 papers) and Cardiac electrophysiology and arrhythmias (13 papers). Feng Guo collaborates with scholars based in China, United States and Japan. Feng Guo's co-authors include Liying Hao, Wuyang Wang, Tomasz Boczek, Ruth Hyland, Kuresh Youdim, Alex Phipps, Odette A. Fahmi, David R. Plowchalk, Amanda Darekar and Maurice Dickins and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Feng Guo

82 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Guo China 23 725 339 319 240 233 87 1.7k
Lihong Diao China 16 1.0k 1.4× 454 1.3× 160 0.5× 236 1.0× 291 1.2× 48 2.4k
Keiko Hosohata Japan 24 685 0.9× 450 1.3× 180 0.6× 148 0.6× 149 0.6× 98 1.8k
Toshio Kumai Japan 28 641 0.9× 183 0.5× 324 1.0× 373 1.6× 105 0.5× 118 2.1k
Margaret R. Davis United States 27 731 1.0× 371 1.1× 188 0.6× 422 1.8× 221 0.9× 48 2.5k
Sam M Ireland United Kingdom 5 684 0.9× 254 0.7× 157 0.5× 108 0.5× 105 0.5× 9 1.6k
Na Yang China 21 544 0.8× 114 0.3× 193 0.6× 133 0.6× 153 0.7× 120 1.4k
Weirong Fang China 31 1.1k 1.6× 184 0.5× 263 0.8× 257 1.1× 127 0.5× 108 2.9k
Veera Ganesh Yerra India 22 839 1.2× 144 0.4× 314 1.0× 244 1.0× 131 0.6× 38 2.1k
Sachiko Tanaka Japan 25 962 1.3× 260 0.8× 210 0.7× 133 0.6× 78 0.3× 117 2.1k
Eseng Lai United States 20 474 0.7× 230 0.7× 136 0.4× 95 0.4× 122 0.5× 60 1.8k

Countries citing papers authored by Feng Guo

Since Specialization
Citations

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

Fields of papers citing papers by Feng Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Guo. A scholar is included among the top collaborators of Feng 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 Feng Guo. Feng 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.
Ju, Yang, et al.. (2025). Effects of high temperatures and horizontal geostress differences on hydraulic fracture propagation in tight sandstones: An experimental investigation. Geoenergy Science and Engineering. 246. 213644–213644. 1 indexed citations
3.
Xie, Jinyan, et al.. (2025). Akkermansia Muciniphila Alleviates Severe Acute Pancreatitis via Amuc1409‐Ube2k‐Foxp3 Axis in Regulatory T Cells. Advanced Science. 12(30). e04214–e04214. 1 indexed citations
5.
Lisek, Malwina, et al.. (2024). NFATc4 Knockout Promotes Neuroprotection and Retinal Ganglion Cell Regeneration After Optic Nerve Injury. Molecular Neurobiology. 61(11). 9383–9401. 4 indexed citations
6.
Su, Wei, et al.. (2024). Population Pharmacokinetics of Tigecycline for Critically Ill Patients Undergoing Continuous Renal Replacement Therapy. Drug Design Development and Therapy. Volume 18. 4459–4469.
7.
Liu, Bingyang, Guilan Chen, Feng Guo, et al.. (2022). Neuronal nitric oxide synthase/reactive oxygen species pathway is involved in apoptosis and pyroptosis in epilepsy. Neural Regeneration Research. 18(6). 1277–1277. 25 indexed citations
8.
Lisek, Malwina, Tomasz Boczek, Joanna Stragierowicz, et al.. (2021). Hexachloronaphthalene (HxCN) impairs the dopamine pathway in an in vitro model of PC12 cells. Chemosphere. 287(Pt 3). 132284–132284. 8 indexed citations
9.
Pan, Qingchun, Feng Guo, Yong Gong, et al.. (2019). Trait ontology analysis based on association mapping studies bridges the gap between crop genomics and Phenomics. BMC Genomics. 20(1). 443–443. 10 indexed citations
10.
Chen, Xiangping, et al.. (2018). The design and clinical application of a multidisciplinary round electronic checklist in ICU. ˜The œJournal of practical nursing. 34(9). 672–676. 2 indexed citations
11.
Guo, Feng, et al.. (2017). The clinical efficacy and safety of Decitabine combined with half of CAG regimen in older patients with acute myeloid leukemia. Zhonghua laonian yixue zazhi. 36(7). 777–779. 2 indexed citations
12.
Shi, Xianbao, Chaoho Ouyang, Gang Zhang, et al.. (2015). The different metabolism of morusin in various species and its potent inhibition against UDP-glucuronosyltransferase (UGT) and cytochrome p450 (CYP450) enzymes. Xenobiotica. 46(5). 467–476. 22 indexed citations
13.
Zhao, Yan, Huiyuan Hu, Rui Feng, et al.. (2014). Dynamic Alterations in the Ca V 1.2/CaM/CaMKII Signaling Pathway in the Left Ventricular Myocardium of Ischemic Rat Hearts. DNA and Cell Biology. 33(5). 282–290. 9 indexed citations
14.
Pan, Wen, et al.. (2013). Peripheral blood CD40–CD40L expression in human breast cancer. Irish Journal of Medical Science (1971 -). 182(4). 719–721. 9 indexed citations
16.
Jänne, Pasi A., David S. Boss, D. Ross Camidge, et al.. (2011). Phase I Dose-Escalation Study of the Pan-HER Inhibitor, PF299804, in Patients with Advanced Malignant Solid Tumors. Clinical Cancer Research. 17(5). 1131–1139. 149 indexed citations
17.
Vlahovic, Gordana, et al.. (2010). Phase Ib study of CP-868,596, a PDGFR inhibitor, combined with docetaxel with or without axitinib, a VEGFR inhibitor. British Journal of Cancer. 103(10). 1554–1561. 15 indexed citations
18.
Fahmi, Odette A., Susan Hurst, David R. Plowchalk, et al.. (2009). Comparison of Different Algorithms for Predicting Clinical Drug-Drug Interactions, Based on the Use of CYP3A4 in Vitro Data: Predictions of Compounds as Precipitants of Interaction. Drug Metabolism and Disposition. 37(8). 1658–1666. 167 indexed citations
19.
Münster, Pamela N., Carolyn D. Britten, Monica Mita, et al.. (2007). First Study of the Safety, Tolerability, and Pharmacokinetics of CP-724,714 in Patients with Advanced Malignant Solid HER2-Expressing Tumors. Clinical Cancer Research. 13(4). 1238–1245. 24 indexed citations
20.
Guo, Feng. (2001). Protective effect of alprostadil combined with ligustrazine and Astragalus membranaceus on myocardial ischemia reperfusion injury in rats. Chinese Journal of New Drugs and Clinical Remedies. 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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