Guomin Zhao

1.6k total citations · 1 hit paper
30 papers, 1.4k citations indexed

About

Guomin Zhao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Guomin Zhao has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 9 papers in Physiology. Recurrent topics in Guomin Zhao's work include Neuropeptides and Animal Physiology (10 papers), Pain Mechanisms and Treatments (9 papers) and Pharmacological Receptor Mechanisms and Effects (8 papers). Guomin Zhao is often cited by papers focused on Neuropeptides and Animal Physiology (10 papers), Pain Mechanisms and Treatments (9 papers) and Pharmacological Receptor Mechanisms and Effects (8 papers). Guomin Zhao collaborates with scholars based in United States, China and Australia. Guomin Zhao's co-authors include Hazel H. Szeto, Peter W. Schiller, Kesheng Zhao, Yi Soong, Dunli Wu, Alex Birk, Hemendra N. Bhargava, Guoxiong Luo, Yonghong Hu and Megumi Shimoyama and has published in prestigious journals such as Journal of Biological Chemistry, Brain Research and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Guomin Zhao

29 papers receiving 1.3k citations

Hit Papers

Cell-permeable Peptide Antioxidants Targeted to Inner Mit... 2004 2026 2011 2018 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guomin Zhao United States 18 787 311 287 141 133 30 1.4k
Fusako Takayama Japan 21 280 0.4× 318 1.0× 206 0.7× 163 1.2× 83 0.6× 65 1.2k
Kesheng Zhao United States 12 941 1.2× 400 1.3× 116 0.4× 87 0.6× 152 1.1× 13 1.6k
Bruno Casetta Italy 24 818 1.0× 167 0.5× 136 0.5× 119 0.8× 92 0.7× 41 1.8k
Misako Okita Japan 20 477 0.6× 249 0.8× 236 0.8× 347 2.5× 80 0.6× 70 1.3k
H.R. Scholte Netherlands 35 2.6k 3.4× 602 1.9× 251 0.9× 171 1.2× 92 0.7× 100 3.7k
Thomas H. Claus United States 21 1.0k 1.3× 676 2.2× 251 0.9× 257 1.8× 16 0.1× 38 2.1k
Mariapia Vairetti Italy 27 857 1.1× 315 1.0× 239 0.8× 545 3.9× 175 1.3× 108 2.5k
Marı́a Cecilia Carreras Argentina 19 1.1k 1.4× 494 1.6× 87 0.3× 159 1.1× 135 1.0× 23 1.8k
Ardesio Floridi Italy 19 427 0.5× 255 0.8× 142 0.5× 90 0.6× 254 1.9× 35 1.7k

Countries citing papers authored by Guomin Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Guomin Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guomin Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Guomin Zhao. A scholar is included among the top collaborators of Guomin Zhao 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 Guomin Zhao. Guomin Zhao 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.
Zhao, Guomin, et al.. (2025). Integrative machine learning and bioinformatics analysis unveil key genes for precise glioma classification and prognosis evaluation. Computational Biology and Chemistry. 119. 108510–108510. 1 indexed citations
2.
Liu, Yang, et al.. (2021). Effect of dexmedetomidine on opioid consumption and pain control after laparoscopic cholecystectomy: a meta-analysis of randomized controlled trials.. Videosurgery and Other Miniinvasive Techniques. 16(3). 491–500. 3 indexed citations
3.
Zhu, Yangyang, Qingshuang Cai, Xianrui Zheng, et al.. (2021). Aspirin Positively Contributes to Drosophila Intestinal Homeostasis and Delays Aging through Targeting Imd. Aging and Disease. 12(7). 1821–1821. 24 indexed citations
4.
Zhao, Guomin, et al.. (2020). Solubility and Dissolution Behavior Analysis of 7-Azaindole in Pure and Binary Mixture Solvents at Temperatures Ranging from 278.15 to 323.15 K. Journal of Chemical & Engineering Data. 65(7). 3579–3592. 8 indexed citations
5.
Zhao, Guomin, et al.. (2019). Solubility and thermodynamic parameters of 5-Fluoro-2-oxindole in nine pure solvents and binary solvent mixtures at T = (278.15–323.15) K. Journal of Molecular Liquids. 298. 112015–112015. 24 indexed citations
6.
Li, Jiandong, et al.. (2014). Melkersson-Rosenthal syndrome: a retrospective study of 44 patients. Acta Oto-Laryngologica. 134(9). 977–981. 21 indexed citations
7.
Cai, Wei, Qing Xie, Baoyan An, et al.. (2010). On-treatment serum HBsAg level is predictive of sustained off-treatment virologic response to telbivudine in HBeAg-positive chronic hepatitis B patients. Journal of Clinical Virology. 48(1). 22–26. 69 indexed citations
8.
Zhao, Kesheng, Guomin Zhao, Dunli Wu, et al.. (2004). Cell-permeable Peptide Antioxidants Targeted to Inner Mitochondrial Membrane inhibit Mitochondrial Swelling, Oxidative Cell Death, and Reperfusion Injury. Journal of Biological Chemistry. 279(33). 34682–34690. 649 indexed citations breakdown →
9.
Zhao, Guomin, et al.. (2003). Comparison of [Dmt1]DALDA and DAMGO in Binding and G Protein Activation at μ, δ, and κ Opioid Receptors. Journal of Pharmacology and Experimental Therapeutics. 307(3). 947–954. 54 indexed citations
10.
Szeto, Hazel H., et al.. (2003). Endogenous Opioid Peptides Contribute to Antinociceptive Potency of Intrathecal [Dmt1]DALDA. Journal of Pharmacology and Experimental Therapeutics. 305(2). 696–702. 25 indexed citations
11.
Zhao, Kesheng, Guoxiong Luo, Guomin Zhao, Peter W. Schiller, & Hazel H. Szeto. (2003). Transcellular Transport of a Highly Polar 3+ Net Charge Opioid Tetrapeptide. Journal of Pharmacology and Experimental Therapeutics. 304(1). 425–432. 126 indexed citations
12.
Zhao, Guomin, Dunli Wu, Yi Soong, et al.. (2002). Profound Spinal Tolerance after Repeated Exposure to a Highly Selective μ-Opioid Peptide Agonist: Role of δ-Opioid Receptors. Journal of Pharmacology and Experimental Therapeutics. 302(1). 188–196. 59 indexed citations
13.
Shimoyama, Megumi, Naohito Shimoyama, Guomin Zhao, Peter W. Schiller, & Hazel H. Szeto. (2001). Antinociceptive and Respiratory Effects of Intrathecal H-Tyr-d-Arg-Phe-Lys-NH2 (DALDA) and [Dmt1]DALDA. Journal of Pharmacology and Experimental Therapeutics. 297(1). 364–371. 46 indexed citations
15.
Bhargava, Hemendra N., Ying‐Jun Cao, & Guomin Zhao. (1997). Effects of ibogaine and noribogaine on the antinociceptive action of μ-, δ- and κ-opioid receptor agonists in mice. Brain Research. 752(1-2). 234–238. 17 indexed citations
17.
Bhargava, Hemendra N., Ying‐Jun Cao, & Guomin Zhao. (1997). Effect of 7-Nitroindazole on Tolerance to Morphine, U-50,488H and [ d -Pen 2 , d -Pen 5 ]Enkephalin in Mice. Peptides. 18(6). 797–800. 27 indexed citations
20.
Bhargava, Hemendra N., Guomin Zhao, Robert V. House, & Peter Thomas. (1996). Effects of chronic administration of 7-benzylidene-7-dehydronaltrexone and naltriben on the antinociceptive actions of δ1- and δ2-opioid receptor agonists. European Journal of Pharmacology. 311(2-3). 127–132. 11 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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