Vicky Guo

765 total citations
9 papers, 596 citations indexed

About

Vicky Guo is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Vicky Guo has authored 9 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 1 paper in Organic Chemistry and 1 paper in Pharmacology. Recurrent topics in Vicky Guo's work include CRISPR and Genetic Engineering (3 papers), Receptor Mechanisms and Signaling (3 papers) and Phosphodiesterase function and regulation (3 papers). Vicky Guo is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Receptor Mechanisms and Signaling (3 papers) and Phosphodiesterase function and regulation (3 papers). Vicky Guo collaborates with scholars based in United States, Japan and Poland. Vicky Guo's co-authors include Marshall W. Nirenberg, John Kamholz, C Puckett, Allen M. Spiegel, Ruili Huang, Menghang Xia, Chuanfeng Wu, Thomas Winkler, Cynthia E. Dunbar and So Gun Hong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cell Reports and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Vicky Guo

9 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vicky Guo United States 8 479 124 74 72 68 9 596
Jeffrey Adijanto United States 8 738 1.5× 145 1.2× 56 0.8× 114 1.6× 70 1.0× 8 887
Kan Yu United States 9 563 1.2× 131 1.1× 45 0.6× 39 0.5× 87 1.3× 13 691
Judith Wardwell-Swanson United States 10 242 0.5× 49 0.4× 53 0.7× 47 0.7× 87 1.3× 15 436
Lai Ping Yaw Singapore 9 885 1.8× 74 0.6× 98 1.3× 86 1.2× 52 0.8× 11 1.0k
Rafal Farjo United States 17 932 1.9× 201 1.6× 117 1.6× 62 0.9× 114 1.7× 35 1.2k
Solei Cermenati Italy 10 304 0.6× 129 1.0× 36 0.5× 60 0.8× 87 1.3× 10 520
Maria Victoria Niklison-Chirou United Kingdom 17 789 1.6× 93 0.8× 106 1.4× 115 1.6× 55 0.8× 36 1.2k
Alessandro Cestelli Italy 15 436 0.9× 81 0.7× 59 0.8× 53 0.7× 54 0.8× 38 702
Françoise Piguet France 13 481 1.0× 232 1.9× 207 2.8× 143 2.0× 75 1.1× 28 743
Yuan Xie United States 13 529 1.1× 93 0.8× 24 0.3× 39 0.5× 96 1.4× 19 723

Countries citing papers authored by Vicky Guo

Since Specialization
Citations

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

Fields of papers citing papers by Vicky Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vicky Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Vicky Guo. A scholar is included among the top collaborators of Vicky 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 Vicky Guo. Vicky Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Wu, Chuanfeng, So Gun Hong, Thomas Winkler, et al.. (2014). Development of an inducible caspase-9 safety switch for pluripotent stem cell–based therapies. Molecular Therapy — Methods & Clinical Development. 1. 14053–14053. 48 indexed citations
2.
Hong, So Gun, Thomas Winkler, Chuanfeng Wu, et al.. (2014). Path to the Clinic: Assessment of iPSC-Based Cell Therapies In Vivo in a Nonhuman Primate Model. Cell Reports. 7(4). 1298–1309. 74 indexed citations
3.
Xia, Menghang, Vicky Guo, Ruili Huang, et al.. (2011). Inhibition of Morphine-Induced cAMP Overshoot: A Cell-Based Assay Model in a High-Throughput Format. Cellular and Molecular Neurobiology. 31(6). 901–907. 20 indexed citations
4.
Xia, Menghang, Vicky Guo, Ruili Huang, et al.. (2009). A Cell-Based β-Lactamase Reporter Gene Assay for the CREB Signaling Pathway. PubMed. 3(1). 7–12. 7 indexed citations
5.
Xia, Menghang, Ruili Huang, Vicky Guo, et al.. (2009). Identification of compounds that potentiate CREB signaling as possible enhancers of long-term memory. Proceedings of the National Academy of Sciences. 106(7). 2412–2417. 50 indexed citations
6.
Skoumbourdis, Amanda P., Ruili Huang, Noel Southall, et al.. (2008). Identification of a potent new chemotype for the selective inhibition of PDE4. Bioorganic & Medicinal Chemistry Letters. 18(4). 1297–1303. 20 indexed citations
7.
Koizumi, Keita, Haruhiro Higashida, Vicky Guo, et al.. (2007). RNA interference screen to identify genes required for Drosophila embryonic nervous system development. Proceedings of the National Academy of Sciences. 104(13). 5626–5631. 35 indexed citations
8.
Rovescalli, A, Brian A. Mozer, Shuhua Yu, et al.. (2004). Genes required for Drosophila nervous system development identified by RNA interference. Proceedings of the National Academy of Sciences. 101(46). 16216–16221. 49 indexed citations
9.
Guo, Vicky, et al.. (1986). Human cDNA clones for four species of G alpha s signal transduction protein.. Proceedings of the National Academy of Sciences. 83(23). 8893–8897. 293 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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