Elizabeth Woo

553 total citations · 1 hit paper
13 papers, 319 citations indexed

About

Elizabeth Woo is a scholar working on Neurology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Elizabeth Woo has authored 13 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 5 papers in Plant Science and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Elizabeth Woo's work include Plant Virus Research Studies (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Elizabeth Woo is often cited by papers focused on Plant Virus Research Studies (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Elizabeth Woo collaborates with scholars based in United States and New Zealand. Elizabeth Woo's co-authors include Dibyadeep Datta, Amy F.T. Arnsten, Lauren Sansing, Jin Wei, Shengtao Yang, Ansuman T. Satpathy, Julia A. Belk, Tamás L. Horváth, Jan E. Carette and Min Wang and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and Biological Psychiatry.

In The Last Decade

Elizabeth Woo

13 papers receiving 317 citations

Hit Papers

Discovery and functional interrogation of SARS-CoV-2 RNA-... 2021 2026 2022 2024 2021 40 80 120

Peers

Elizabeth Woo
Elizabeth Woo
Citations per year, relative to Elizabeth Woo Elizabeth Woo (= 1×) peers Jesús Argueta

Countries citing papers authored by Elizabeth Woo

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Woo

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

All Works

13 of 13 papers shown
1.
Datta, Dibyadeep, Elizabeth Woo, Alvaro Duque, et al.. (2025). Dysregulated calcium signaling in the aged macaque entorhinal cortex associated with tau hyperphosphorylation. Frontiers in Aging Neuroscience. 17. 1549770–1549770. 1 indexed citations
2.
Yang, Shengtao, Dibyadeep Datta, Elizabeth Woo, et al.. (2022). Inhibition of glutamate-carboxypeptidase-II in dorsolateral prefrontal cortex: potential therapeutic target for neuroinflammatory cognitive disorders. Molecular Psychiatry. 27(10). 4252–4263. 21 indexed citations
3.
Arnsten, Amy F.T., Elizabeth Woo, Shengtao Yang, Min Wang, & Dibyadeep Datta. (2022). Unusual Molecular Regulation of Dorsolateral Prefrontal Cortex Layer III Synapses Increases Vulnerability to Genetic and Environmental Insults in Schizophrenia. Biological Psychiatry. 92(6). 480–490. 22 indexed citations
4.
Woo, Elizabeth, Dibyadeep Datta, & Amy F.T. Arnsten. (2022). Glutamate Metabotropic Receptor Type 3 (mGlu3) Localization in the Rat Prelimbic Medial Prefrontal Cortex. Frontiers in Neuroanatomy. 16. 15 indexed citations
5.
Flynn, Ryan A., Julia A. Belk, Yanyan Qi, et al.. (2021). Discovery and functional interrogation of SARS-CoV-2 RNA-host protein interactions. Cell. 184(9). 2394–2411.e16. 130 indexed citations breakdown →
6.
Datta, Dibyadeep, Shannon Leslie, Elizabeth Woo, et al.. (2021). Glutamate Carboxypeptidase II in Aging Rat Prefrontal Cortex Impairs Working Memory Performance. Frontiers in Aging Neuroscience. 13. 760270–760270. 16 indexed citations
7.
Woo, Elizabeth, Lauren Sansing, Amy F.T. Arnsten, & Dibyadeep Datta. (2021). Chronic Stress Weakens Connectivity in the Prefrontal Cortex: Architectural and Molecular Changes. SHILAP Revista de lepidopterología. 5. 2280651014–2280651014. 80 indexed citations
8.
Rossi, Pierre De, Virginie Buggia-Prévot, Robert J. Andrew, et al.. (2017). BIN1localization is distinct from Tau tangles in Alzheimer’s disease. PubMed. 2017. 13 indexed citations
9.
Woo, Elizabeth & Michael Pearson. (2014). First Report of Strawberry latent ringspot virus in Vaccinium darrowii. Journal of Phytopathology. 162(11-12). 820–823. 3 indexed citations
10.
Woo, Elizabeth & M. N. Pearson. (2014). Comparison of complete nucleotide sequences and genome organization of six distinct cherry leaf roll virus isolates from New Zealand. Archives of Virology. 159(12). 3443–3445. 3 indexed citations
11.
Woo, Elizabeth, L. I. Ward, & M. N. Pearson. (2013). First Report of Cherry leaf roll virus in Vaccinium darrowii. New Disease Reports. 27(1). 16–16. 2 indexed citations
13.
Woo, Elizabeth, G. R. G. Clover, & M. N. Pearson. (2012). First report of Cherry leaf roll virus (CLRV) in Malus domestica. Australasian Plant Disease Notes. 7(1). 151–156. 8 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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