Vicky Guo
Impact in
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- Receptor Mechanisms and Signaling
- Protein Kinase Regulation and GTPase Signaling
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Ion channel regulation and function
- RNA and protein synthesis mechanisms
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- Neuroscience and Neuropharmacology Research
Papers in ⓘ
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- Phosphodiesterase function and regulation 3
- RNA Research and Splicing 3
- CRISPR and Genetic Engineering 3
- Receptor Mechanisms and Signaling 3
- RNA Interference and Gene Delivery 2
- Pluripotent Stem Cells Research 2
- Co-authors
- Marshall W. Nirenberg (7 shared papers)C Puckett (1 shared paper)John Kamholz (1 shared paper)Allen M. Spiegel (1 shared paper)Menghang Xia (4 shared papers)Ruili Huang (4 shared papers)Thomas Winkler (2 shared papers)Chuanfeng Wu (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Bioorganic & Medicinal Chemistry Letters (1 paper)Cellular and Molecular Neurobiology (1 paper)Molecular Therapy — Methods & Clinical Development (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesJapanPoland
In The Last Decade
Vicky Guo
9 papers receiving 578 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 479
- Cellular and Molecular Neuroscience 124
- Cell Biology 68
- Aging 7
- Physiology 14
Countries citing papers authored by Vicky Guo
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
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-authors
The 25 scholars most cited alongside Vicky Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 293 | |
| 2 | 2014 | 74 | |
| 3 | 2009 | 50 | |
| 4 | 2004 | 49 | |
| 5 | 2014 | 48 | |
| 6 | 2007 | 35 | |
| 7 | 2011 | 20 | |
| 8 | 2008 | 20 | |
| 9 | 2009 | 7 |
About Vicky Guo
Vicky Guo is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Cellular and Molecular Neuroscience and Biomaterials, having authored 9 papers that have together received 596 indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (3 papers), RNA Research and Splicing (3 papers), CRISPR and Genetic Engineering (3 papers), Receptor Mechanisms and Signaling (3 papers), RNA Interference and Gene Delivery (2 papers), Pluripotent Stem Cells Research (2 papers), interferon and immune responses (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Molecular Biology (479 citations), Cellular and Molecular Neuroscience (124 citations), Cell Biology (68 citations), Aging (7 citations) and Physiology (14 citations). Vicky Guo has collaborated with scholars based in United States, Japan and Poland. Frequent co-authors include Marshall W. Nirenberg, C Puckett, John Kamholz, Allen M. Spiegel, Menghang Xia, Ruili Huang, Thomas Winkler, Chuanfeng Wu, Cynthia E. Dunbar and Alina Nicolae. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioorganic & Medicinal Chemistry Letters, Cellular and Molecular Neurobiology, Molecular Therapy — Methods & Clinical Development and Cell Reports.
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.