Vicky Guo

755 citations
9 papers · 653 · h-index 8

Impact in

Papers in

    • Phosphodiesterase function and regulation 3
    • Receptor Mechanisms and Signaling 2
    • Pluripotent Stem Cells Research 2
    • Developmental Biology and Gene Regulation 2
    • Protein Kinase Regulation and GTPase Signaling 1
    • Neurobiology and Insect Physiology Research 2
    • Neuropeptides and Animal Physiology 1

Vicky Guo

9 papers receiving 622 citations

Peers

Vicky Guo
Comparison fields: 5 of 60
  • Molecular Biology 431
  • Cellular and Molecular Neuroscience 49
  • Developmental Neuroscience 8
  • Genetics 19
  • Nephrology 18
Replace Mercè Pérez‐Riba with:
Mercè Pérez‐Riba Spain
Takuro Tomita United States
Igor Ruvinsky Israel
Jung‐Il Chae South Korea
Erica M. TenBroek United States
Sanjiv Ghanshani United States
Badi Sri Sailaja Israel
Thuong Manh Le Japan
Luis Carlos Morales Canada
Maribeth A. Lazzaro Canada
Vicky Guo relative to Mercè Pérez‐Riba Spain Mercè Pérez‐Riba's profile →
Citations per field
00.5×2×3×3.8×
Mercè Pérez‐Riba · 1×
Citations per year

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-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.

Border = papers with Vicky Guo Line = papers co-authored together Vicky Guo links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1986326
2 201485
3 201457
4 200953
5 200447
6 200736
7 201122
8 200820
9 20097

About Vicky Guo

Vicky Guo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Cognitive Neuroscience and Nuclear Energy and Engineering, having authored 9 papers that have together received 653 indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (3 papers), Receptor Mechanisms and Signaling (2 papers), Pluripotent Stem Cells Research (2 papers), Neurobiology and Insect Physiology Research (2 papers), Developmental Biology and Gene Regulation (2 papers), Computational Drug Discovery Methods (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper) and Neuropeptides and Animal Physiology (1 paper). The work is most often cited by research in Molecular Biology (431 citations), Cellular and Molecular Neuroscience (49 citations), Developmental Neuroscience (8 citations), Genetics (19 citations) and Nephrology (18 citations). Vicky Guo has collaborated with scholars based in United States and Japan. Frequent co-authors include Marshall W. Nirenberg, A Carter, Allen M. Spiegel, John A. Kamholz, Christopher P. Austin, Ruili Huang, Menghang Xia, Thomas Winkler, Chuanfeng Wu and Cynthia E. Dunbar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioorganic & Medicinal Chemistry Letters, Molecular Therapy — Methods & Clinical Development, Cellular and Molecular Neurobiology 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.

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