Olivia Sheppard

971 total citations
9 papers, 433 citations indexed

About

Olivia Sheppard is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Olivia Sheppard has authored 9 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Genetics. Recurrent topics in Olivia Sheppard's work include Alzheimer's disease research and treatments (3 papers), Down syndrome and intellectual disability research (2 papers) and Immune Response and Inflammation (2 papers). Olivia Sheppard is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Down syndrome and intellectual disability research (2 papers) and Immune Response and Inflammation (2 papers). Olivia Sheppard collaborates with scholars based in United Kingdom, Sweden and Australia. Olivia Sheppard's co-authors include Claire S. Durrant, Michael P. Coleman, Hagen Schroeter, Robert J. Williams, Parmvir K. Bahia, Jeremy P. E. Spencer, Marcus Rattray, Catherine Rice‐Evans, Enrique Cadenas and Alison C. Brewer and has published in prestigious journals such as Blood, Free Radical Biology and Medicine and Journal of Neurochemistry.

In The Last Decade

Olivia Sheppard

9 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olivia Sheppard United Kingdom 8 161 157 118 70 60 9 433
Qingqing Yin China 12 179 1.1× 214 1.4× 128 1.1× 96 1.4× 46 0.8× 19 550
Joanna Wojsiat Poland 9 209 1.3× 214 1.4× 87 0.7× 35 0.5× 26 0.4× 11 588
Zhi Chai China 14 98 0.6× 153 1.0× 113 1.0× 32 0.5× 134 2.2× 38 502
Veerta Sharma India 9 107 0.7× 180 1.1× 75 0.6× 32 0.5× 41 0.7× 24 441
Elisa Maggi Italy 11 207 1.3× 123 0.8× 67 0.6× 38 0.5× 27 0.5× 18 442
Alexander Szabo Australia 14 214 1.3× 317 2.0× 90 0.8× 56 0.8× 70 1.2× 19 695
Yilu Ye China 16 85 0.5× 238 1.5× 190 1.6× 79 1.1× 69 1.1× 40 658
Sujyoti Chandra United States 10 202 1.3× 251 1.6× 151 1.3× 64 0.9× 61 1.0× 14 561
Faheem Ullah Australia 10 167 1.0× 183 1.2× 171 1.4× 35 0.5× 105 1.8× 21 603
Xuemei Wang China 13 92 0.6× 263 1.7× 180 1.5× 78 1.1× 50 0.8× 25 606

Countries citing papers authored by Olivia Sheppard

Since Specialization
Citations

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

Fields of papers citing papers by Olivia Sheppard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivia Sheppard

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

All Works

9 of 9 papers shown
1.
Mukadam, Aamir S., Claire S. Durrant, Marina Vaysburd, et al.. (2021). Tau assemblies do not behave like independently acting prion-like particles in mouse neural tissue. Acta Neuropathologica Communications. 9(1). 41–41. 16 indexed citations
2.
Durrant, Claire S., Karsten Ruscher, Olivia Sheppard, Michael P. Coleman, & Ílknur Özen. (2020). Beta secretase 1-dependent amyloid precursor protein processing promotes excessive vascular sprouting through NOTCH3 signalling. Cell Death and Disease. 11(2). 98–98. 28 indexed citations
3.
Sheppard, Olivia, Michael P. Coleman, & Claire S. Durrant. (2019). Lipopolysaccharide-induced neuroinflammation induces presynaptic disruption through a direct action on brain tissue involving microglia-derived interleukin 1 beta. Journal of Neuroinflammation. 16(1). 106–106. 108 indexed citations
4.
Huntly, Brian J.P., Sarah J. Horton, George Giotopoulos, et al.. (2016). Early Loss of CREBBP Confers Malignant Stem Cell Properties on Lymphoid Progenitors. Blood. 128(22). 460–460. 4 indexed citations
5.
Sheppard, Olivia, et al.. (2012). Mouse Models of Aneuploidy. The Scientific World JOURNAL. 2012. 1–6. 14 indexed citations
6.
Sheppard, Olivia, Florian Plattner, Anna Noren Rubin, et al.. (2011). Altered regulation of tau phosphorylation in a mouse model of down syndrome aging. Neurobiology of Aging. 33(4). 828.e31–828.e44. 43 indexed citations
7.
Wiseman, Frances K., et al.. (2010). Down syndrome and the molecular pathogenesis resulting from trisomy of human chromosome 21. Journal of Biomedical Research. 24(2). 87–99. 9 indexed citations
8.
Zhang, Li, Olivia Sheppard, Ajay M. Shah, & Alison C. Brewer. (2008). Positive regulation of the NADPH oxidase NOX4 promoter in vascular smooth muscle cells by E2F. Free Radical Biology and Medicine. 45(5). 679–685. 63 indexed citations
9.
Schroeter, Hagen, Parmvir K. Bahia, Jeremy P. E. Spencer, et al.. (2007). (‐)Epicatechin stimulates ERK‐dependent cyclic AMP response element activity and up‐regulates GluR2 in cortical neurons. Journal of Neurochemistry. 101(6). 1596–1606. 148 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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