Virginia Phillips

707 total citations
8 papers, 179 citations indexed

About

Virginia Phillips is a scholar working on Cellular and Molecular Neuroscience, Physiology and Neurology. According to data from OpenAlex, Virginia Phillips has authored 8 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Physiology and 3 papers in Neurology. Recurrent topics in Virginia Phillips's work include Alzheimer's disease research and treatments (5 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Nerve injury and regeneration (3 papers). Virginia Phillips is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Nerve injury and regeneration (3 papers). Virginia Phillips collaborates with scholars based in United States, United Kingdom and Japan. Virginia Phillips's co-authors include Monica Castanedes‐Casey, Dennis W. Dickson, John Denis Fryer, Aishe Kurti, Linda Rousseau, Casey Cook, Leonard Petrucelli, Mei Yue, Guojun Bu and Karen Jansen‐West and has published in prestigious journals such as Human Molecular Genetics, Neurobiology of Aging and EMBO Reports.

In The Last Decade

Virginia Phillips

8 papers receiving 177 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Virginia Phillips United States	6	102	57	54	46	45	8	179
Linda Rousseau United States	7	155 1.5×	105 1.8×	173 3.2×	63 1.4×	82 1.8×	7	325
Sergio Castro‐Gomez Germany	8	63 0.6×	69 1.2×	68 1.3×	52 1.1×	65 1.4×	15	237
Gonzalo Ureta Chile	6	59 0.6×	138 2.4×	28 0.5×	44 1.0×	34 0.8×	8	281
Vivek Patel United States	6	193 1.9×	128 2.2×	55 1.0×	46 1.0×	30 0.7×	9	310
Shamiram Melhem Netherlands	12	102 1.0×	113 2.0×	107 2.0×	53 1.2×	69 1.5×	16	256
Xiaoni Zhan China	11	44 0.4×	102 1.8×	38 0.7×	62 1.3×	45 1.0×	22	256
Justin O’Leary United States	2	100 1.0×	79 1.4×	95 1.8×	28 0.6×	34 0.8×	2	205
Ryan O. Walters United States	7	75 0.7×	129 2.3×	17 0.3×	21 0.5×	28 0.6×	9	239
Francesca Garretti United States	6	78 0.8×	60 1.1×	143 2.6×	80 1.7×	159 3.5×	6	277
Marie-Laure Thiolat France	11	68 0.7×	89 1.6×	115 2.1×	101 2.2×	34 0.8×	15	277

Countries citing papers authored by Virginia Phillips

Since Specialization

Citations

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

Fields of papers citing papers by Virginia Phillips

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Phillips

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

All Works

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8 of 8 papers shown

Boschen, Suelen L., Aishe Kurti, Virginia Phillips, et al.. (2023). Investigating the Pathogenic Interplay of Alpha-Synuclein, Tau, and Amyloid Beta in Lewy Body Dementia: Insights from Viral-Mediated Overexpression in Transgenic Mouse Models. Biomedicines. 11(10). 2863–2863. 3 indexed citations

Zhou, Xiaolai, Mieu Brooks, Peizhou Jiang, et al.. (2020). Loss of Tmem106b exacerbates FTLD pathologies and causes motor deficits in progranulin‐deficient mice. EMBO Reports. 21(10). e50197–e50197. 36 indexed citations

Carlomagno, Yari, Mei Yue, Aishe Kurti, et al.. (2019). Enhanced phosphorylation of T153 in soluble tau is a defining biochemical feature of the A152T tau risk variant. Acta Neuropathologica Communications. 7(1). 10–10. 4 indexed citations

Delenclos, Marion, Mei Yue, Aishe Kurti, et al.. (2017). Neonatal AAV delivery of alpha-synuclein induces pathology in the adult mouse brain. Acta Neuropathologica Communications. 5(1). 51–51. 21 indexed citations

Cook, Casey, Silvia S. Kang, Yari Carlomagno, et al.. (2015). Tau deposition drives neuropathological, inflammatory and behavioral abnormalities independently of neuronal loss in a novel mouse model. Human Molecular Genetics. 24(21). 6198–6212. 54 indexed citations

Cook, Casey, Judy H. Dunmore, Melissa E. Murray, et al.. (2014). Severe amygdala dysfunction in a MAPT transgenic mouse model of frontotemporal dementia. Neurobiology of Aging. 35(7). 1769–1777. 41 indexed citations

Hori, Tomohide, Shinji Üemoto, Xiangdong Zhao, et al.. (2010). Surgical guide including innovative techniques for orthotopic liver transplantation in the rat: Key techniques and pitfalls in whole and split liver grafts. 23(4). 270–295. 14 indexed citations

Fujimura, Robert K., Teresita Reiner, Fangchao Ma, et al.. (2010). Changes in the Expression of Genes Associated with Intraneuronal Amyloid-β and Tau in Alzheimer's Disease. Journal of Alzheimer s Disease. 19(1). 97–109. 6 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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