Andy Kuo

1.0k total citations
34 papers, 552 citations indexed

About

Andy Kuo is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Andy Kuo has authored 34 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 11 papers in Molecular Biology and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Andy Kuo's work include Pain Mechanisms and Treatments (16 papers), Neuropeptides and Animal Physiology (10 papers) and Receptor Mechanisms and Signaling (6 papers). Andy Kuo is often cited by papers focused on Pain Mechanisms and Treatments (16 papers), Neuropeptides and Animal Physiology (10 papers) and Receptor Mechanisms and Signaling (6 papers). Andy Kuo collaborates with scholars based in Australia, Germany and United States. Andy Kuo's co-authors include Maree T. Smith, Mohammad Zafar Imam, Sussan Ghassabian, Nemat Khan, Priyank A. Shenoy, Irina Vetter, Wim Meutermans, Bruce Wyse, Janet R. Nicholson and Matthew A. Cooper and has published in prestigious journals such as Journal of Medicinal Chemistry, The Journal of Organic Chemistry and British Journal of Pharmacology.

In The Last Decade

Andy Kuo

32 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andy Kuo Australia 14 210 176 153 62 56 34 552
Alfhild Grönbladh Sweden 15 169 0.8× 119 0.7× 127 0.8× 35 0.6× 52 0.9× 43 598
Melih Ö. Celik Germany 12 182 0.9× 291 1.7× 297 1.9× 70 1.1× 50 0.9× 21 641
Liting Sun China 15 244 1.2× 285 1.6× 156 1.0× 76 1.2× 85 1.5× 32 730
Xiangqi Li China 16 541 2.6× 287 1.6× 208 1.4× 87 1.4× 101 1.8× 42 1.1k
Arjun Muralidharan Australia 13 110 0.5× 192 1.1× 142 0.9× 71 1.1× 27 0.5× 19 423
Sandra Kostić Croatia 13 179 0.9× 241 1.4× 156 1.0× 93 1.5× 47 0.8× 30 542
Ayhan Bozkurt Türkiye 16 114 0.5× 143 0.8× 110 0.7× 47 0.8× 110 2.0× 38 626
Kornél Király Hungary 14 250 1.2× 301 1.7× 287 1.9× 41 0.7× 44 0.8× 59 655

Countries citing papers authored by Andy Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Andy Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andy Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Andy Kuo. A scholar is included among the top collaborators of Andy Kuo 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 Andy Kuo. Andy Kuo 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
3.
Kuo, Andy, Jacinta L. Simmons, Lendl Tan, et al.. (2023). seco-1-Azacubane-2-carboxylic Acid: Derivative Scope and Comparative Biological Evaluation. The Journal of Organic Chemistry. 89(1). 798–803. 1 indexed citations
4.
Imam, Mohammad Zafar, Andy Kuo, Sussan Ghassabian, et al.. (2023). CYX-5, a G-protein biassed MOP receptor agonist, DOP receptor antagonist and KOP receptor agonist, evokes constipation but not respiratory depression relative to morphine in rats. Pharmacological Reports. 75(3). 634–646. 1 indexed citations
5.
Smith, Maree T., et al.. (2022). Analgesic Opioid Ligand Discovery Based on Nonmorphinan Scaffolds Derived from Natural Sources. Journal of Medicinal Chemistry. 65(3). 1612–1661. 16 indexed citations
6.
Khan, Nemat, et al.. (2020). Characterisation of a rat model of mechanical low back pain at an advanced stage using immunohistochemical methods. Clinical and Experimental Pharmacology and Physiology. 48(1). 96–106. 2 indexed citations
7.
8.
Kuo, Andy, Åsa Andersson, Bruce Wyse, et al.. (2020). In vitro profiling of opioid ligands using the cAMP formation inhibition assay and the β-arrestin2 recruitment assay: No two ligands have the same profile. European Journal of Pharmacology. 872. 172947–172947. 12 indexed citations
9.
Imam, Mohammad Zafar, Andy Kuo, Janet R. Nicholson, Laura Corradini, & Maree T. Smith. (2020). Assessment of the anti-allodynic efficacy of a glycine transporter 2 inhibitor relative to pregabalin and duloxetine in a rat model of prostate cancer-induced bone pain. Pharmacological Reports. 72(5). 1418–1425. 6 indexed citations
10.
Kuo, Andy, Janet R. Nicholson, Laura Corradini, & Maree T. Smith. (2019). Establishment and characterisation of a stavudine (d4T)-induced rat model of antiretroviral toxic neuropathy (ATN) using behavioural and pharmacological methods. Inflammopharmacology. 27(2). 387–396. 2 indexed citations
11.
Khan, Nemat, et al.. (2019). J-2156, a somatostatin receptor type 4 agonist, alleviates mechanical hyperalgesia in a rat model of chronic low back pain. Biomedicine & Pharmacotherapy. 117. 109056–109056. 10 indexed citations
12.
Kuo, Andy, et al.. (2018). Chronic low back pain: a mini-review on pharmacological management and pathophysiological insights from clinical and pre-clinical data. Inflammopharmacology. 26(4). 881–898. 21 indexed citations
13.
Shenoy, Priyank A., Andy Kuo, Nemat Khan, et al.. (2018). The Somatostatin Receptor-4 Agonist J-2156 Alleviates Mechanical Hypersensitivity in a Rat Model of Breast Cancer Induced Bone Pain. Frontiers in Pharmacology. 9. 495–495. 20 indexed citations
14.
Qin, Yajuan, et al.. (2018). Synthesis and Biological Evaluation of Fentanyl Analogues Modified at Phenyl Groups with Alkyls. ACS Chemical Neuroscience. 10(1). 201–208. 9 indexed citations
15.
Han, Felicity Y., et al.. (2018). Comparative analgesic efficacy of pregabalin administered according to either a prevention protocol or an intervention protocol in rats with cisplatin‐induced peripheral neuropathy. Clinical and Experimental Pharmacology and Physiology. 45(10). 1067–1075. 8 indexed citations
16.
Khan, Nemat, et al.. (2017). Pharmacological inhibition of the NLRP3 inflammasome as a potential target for multiple sclerosis induced central neuropathic pain. Inflammopharmacology. 26(1). 77–86. 67 indexed citations
17.
Imam, Mohammad Zafar, Andy Kuo, Sussan Ghassabian, & Maree T. Smith. (2017). Progress in understanding mechanisms of opioid-induced gastrointestinal adverse effects and respiratory depression. Neuropharmacology. 131. 238–255. 91 indexed citations
18.
Shenoy, Priyank A., Andy Kuo, Irina Vetter, & Maree T. Smith. (2016). The Walker 256 Breast Cancer Cell- Induced Bone Pain Model in Rats. Frontiers in Pharmacology. 7. 286–286. 41 indexed citations
19.
Muralidharan, Arjun, et al.. (2016). Comparison of Burrowing and Stimuli-Evoked Pain Behaviors as End-Points in Rat Models of Inflammatory Pain and Peripheral Neuropathic Pain. Frontiers in Behavioral Neuroscience. 10. 88–88. 28 indexed citations
20.
Seaver, Sally S., et al.. (1992). Enzyme immunoassay method for total alpha gonadotropin in human urine samples. Fertility and Sterility. 57(6). 1241–1246. 15 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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