William A. Liguore

471 total citations
10 papers, 263 citations indexed

About

William A. Liguore is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, William A. Liguore has authored 10 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 8 papers in Neurology and 4 papers in Molecular Biology. Recurrent topics in William A. Liguore's work include Genetic Neurodegenerative Diseases (7 papers), Neurological disorders and treatments (6 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). William A. Liguore is often cited by papers focused on Genetic Neurodegenerative Diseases (7 papers), Neurological disorders and treatments (6 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). William A. Liguore collaborates with scholars based in United States and Belgium. William A. Liguore's co-authors include Jodi L. McBride, Jacqueline S. Domire, Dana Button, Alison R. Weiss, Sathya Srinivasan, Yun Wang, Brett D. Dufour, Charles K. Meshul, Rebecca L. Hood and Cynthia Moore and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

William A. Liguore

10 papers receiving 259 citations

Peers

William A. Liguore

CMN

GENET

NEURO

Zhe Long China

Liri Jin China

Joseph Goodliffe United States

Ave Eesmaa Finland

Haitian Nan China

Naomi Takino Japan

Susanna Raitano Belgium

Niklas Schwarz Germany

Phillip A. Starr United States

Marie‐Lorraine Monin France

Zhe Long China

William A. Liguore

189 ×1.3

141 ×1.2

CMN

57 ×0.7

GENET

88 ×1.2

NEURO

22 ×0.8

NEURO

Citations per year, relative to William A. Liguore William A. Liguore (= 1×) peers Zhe Long

Countries citing papers authored by William A. Liguore

Since Specialization

Citations

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

Fields of papers citing papers by William A. Liguore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William A. Liguore. 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 William A. Liguore. The network helps show where William A. Liguore may publish in the future.

Co-authorship network of co-authors of William A. Liguore

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

All Works

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10 of 10 papers shown

Pressl, Christina, Kärt Mätlik, Laura Kus, et al.. (2024). Selective vulnerability of layer 5a corticostriatal neurons in Huntington’s disease. Neuron. 112(6). 924–941.e10. 31 indexed citations

Bertoglio, Daniele, Alison R. Weiss, William A. Liguore, et al.. (2023). In Vivo Cerebral Imaging of Mutant Huntingtin Aggregates Using¹¹C-CHDI-180R PET in a Nonhuman Primate Model of Huntington Disease. Journal of Nuclear Medicine. 64(10). 1581–1587. 8 indexed citations

Weiss, Alison R., et al.. (2023). Alterations of fractional anisotropy throughout cortico-basal ganglia gray matter in a macaque model of Huntington’s Disease. SHILAP Revista de lepidopterología. 4. 100090–100090. 1 indexed citations

Weiss, Alison R., William A. Liguore, Xiaojie Wang, et al.. (2022). A novel rhesus macaque model of Huntington’s disease recapitulates key neuropathological changes along with motor and cognitive decline. eLife. 11. 11 indexed citations

Weiss, Alison R., et al.. (2022). Reduced D₂/D₃ Receptor Binding and Glucose Metabolism in a Macaque Model of Huntington's Disease. Movement Disorders. 38(1). 143–147. 3 indexed citations

Liguore, William A., et al.. (2020). Gait Deficits and Loss of Striatal Tyrosine Hydroxlase/Trk-B are Restored Following 7,8-Dihydroxyflavone Treatment in a Progressive MPTP Mouse Model of Parkinson’s Disease. Neuroscience. 433. 53–71. 25 indexed citations

Weiss, Alison R., William A. Liguore, Jacqueline S. Domire, Dana Button, & Jodi L. McBride. (2020). Intra-striatal AAV2.retro administration leads to extensive retrograde transport in the rhesus macaque brain: implications for disease modeling and therapeutic development. Scientific Reports. 10(1). 6970–6970. 48 indexed citations

Weiss, Alison R., Zheng Liu, Xiaojie Wang, et al.. (2020). The macaque brain ONPRC18 template with combined gray and white matter labelmap for multimodal neuroimaging studies of Nonhuman Primates. NeuroImage. 225. 117517–117517. 10 indexed citations

Liguore, William A., Jacqueline S. Domire, Dana Button, et al.. (2019). AAV-PHP.B Administration Results in a Differential Pattern of CNS Biodistribution in Non-human Primates Compared with Mice. Molecular Therapy. 27(11). 2018–2037. 99 indexed citations

10.

Hood, Rebecca L., et al.. (2016). Exercise intervention increases spontaneous locomotion but fails to attenuate dopaminergic system loss in a progressive MPTP model in aged mice. Brain Research. 1646. 535–542. 27 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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