Georgia Taylor

1.8k total citations
16 papers, 1.3k citations indexed

About

Georgia Taylor is a scholar working on Neurology, Molecular Biology and Physiology. According to data from OpenAlex, Georgia Taylor has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 7 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Georgia Taylor's work include Amyotrophic Lateral Sclerosis Research (9 papers), Parkinson's Disease Mechanisms and Treatments (9 papers) and Alzheimer's disease research and treatments (4 papers). Georgia Taylor is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (9 papers), Parkinson's Disease Mechanisms and Treatments (9 papers) and Alzheimer's disease research and treatments (4 papers). Georgia Taylor collaborates with scholars based in United States, United Kingdom and Italy. Georgia Taylor's co-authors include J. Timothy Greenamyre, Todd Sherer, Thomas Kukar, Qiudong Deng, Christopher J. Holler, Alexander Panov, Sergey Dikalov, Pier G. Mastroberardino, Ranjita Betarbet and Pierluigi Caboni and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Plant Cell.

In The Last Decade

Georgia Taylor

16 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georgia Taylor United States 12 676 514 308 291 212 16 1.3k
Jeannette N. Stankowski United States 15 443 0.7× 490 1.0× 260 0.8× 233 0.8× 157 0.7× 17 1.0k
Saurav Brahmachari United States 20 628 0.9× 669 1.3× 349 1.1× 463 1.6× 402 1.9× 23 1.8k
Chunli Duan China 19 542 0.8× 420 0.8× 302 1.0× 361 1.2× 127 0.6× 35 1.2k
Ángeles Martín‐Requero Spain 26 428 0.6× 780 1.5× 561 1.8× 165 0.6× 152 0.7× 82 1.6k
Shaogang Qu China 24 349 0.5× 670 1.3× 218 0.7× 602 2.1× 251 1.2× 66 1.5k
Kazuko Takahashi-Niki Japan 21 779 1.2× 904 1.8× 284 0.9× 543 1.9× 213 1.0× 27 1.8k
Paula M. Keeney United States 20 794 1.2× 1.3k 2.5× 568 1.8× 539 1.9× 265 1.3× 27 2.0k
Siân C. Barber United Kingdom 10 910 1.3× 554 1.1× 263 0.9× 166 0.6× 234 1.1× 12 1.4k
Rapee Boonplueang United States 9 324 0.5× 424 0.8× 198 0.6× 240 0.8× 162 0.8× 9 1.0k
Guoxiang Liu China 15 218 0.3× 406 0.8× 194 0.6× 212 0.7× 113 0.5× 33 1.0k

Countries citing papers authored by Georgia Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Georgia Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgia Taylor

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

All Works

16 of 16 papers shown
1.
Ferguson, John N., Leonardo Caproni, Julia Walter, et al.. (2025). A deficient CP24 allele defines variation for dynamic nonphotochemical quenching and photosystem II efficiency in maize. The Plant Cell. 37(4). 5 indexed citations
2.
Taylor, Georgia, Julia Walter, & Johannes Kromdijk. (2024). Illuminating stomatal responses to red light: establishing the role of Ci-dependent versus -independent mechanisms in control of stomatal behaviour. Journal of Experimental Botany. 75(21). 6810–6822. 11 indexed citations
3.
Root, Jessica, Georgia Taylor, Paola Merino, et al.. (2024). Granulins rescue inflammation, lysosome dysfunction, lipofuscin, and neuropathology in a mouse model of progranulin deficiency. Cell Reports. 43(12). 114985–114985. 11 indexed citations
4.
Johnson, Michelle A., Paola Merino, Pritha Bagchi, et al.. (2022). Proximity-based labeling reveals DNA damage–induced phosphorylation of fused in sarcoma (FUS) causes distinct changes in the FUS protein interactome. Journal of Biological Chemistry. 298(8). 102135–102135. 3 indexed citations
5.
Liddell, John, et al.. (2022). Purification of therapeutic & prophylactic mRNA by affinity chromatography. Cell and Gene Therapy Insights. 8(2). 335–349. 14 indexed citations
6.
Modeste, Erica, Eric B. Dammer, Paola Merino, et al.. (2020). Network analysis of the progranulin-deficient mouse brain proteome reveals pathogenic mechanisms shared in human frontotemporal dementia caused by GRN mutations. Acta Neuropathologica Communications. 8(1). 163–163. 63 indexed citations
7.
Johnson, Michelle A., Qiudong Deng, Georgia Taylor, et al.. (2020). Divergent FUS phosphorylation in primate and mouse cells following double-strand DNA damage. Neurobiology of Disease. 146. 105085–105085. 7 indexed citations
8.
Holler, Christopher J., Georgia Taylor, Qiudong Deng, & Thomas Kukar. (2017). Intracellular Proteolysis of Progranulin Generates Stable, Lysosomal Granulins that Are Haploinsufficient in Patients with Frontotemporal Dementia Caused byGRNMutations. eNeuro. 4(4). ENEURO.0100–17.2017. 99 indexed citations
9.
Holler, Christopher J., et al.. (2017). Disulfide bonds and disorder in granulin‐3: An unusual handshake between structural stability and plasticity. Protein Science. 26(9). 1759–1772. 20 indexed citations
10.
Holler, Christopher J., Georgia Taylor, Zachary T. McEachin, et al.. (2016). Trehalose upregulates progranulin expression in human and mouse models of GRN haploinsufficiency: a novel therapeutic lead to treat frontotemporal dementia. Molecular Neurodegeneration. 11(1). 86 indexed citations
11.
Chen, Xi, Jianjun Chang, Qiudong Deng, et al.. (2013). Progranulin Does Not Bind Tumor Necrosis Factor (TNF) Receptors and Is Not a Direct Regulator of TNF-Dependent Signaling or Bioactivity in Immune or Neuronal Cells. Journal of Neuroscience. 33(21). 9202–9213. 74 indexed citations
12.
Verbeeck, Christophe, Qiudong Deng, Mariely DeJesus‐Hernandez, et al.. (2012). Expression of Fused in sarcoma mutations in mice recapitulates the neuropathology of FUS proteinopathies and provides insight into disease pathogenesis. Molecular Neurodegeneration. 7(1). 53–53. 52 indexed citations
13.
Mastroberardino, Pier G., Eric K. Hoffman, Maxx P. Horowitz, et al.. (2009). A novel transferrin/TfR2-mediated mitochondrial iron transport system is disrupted in Parkinson's disease. Neurobiology of Disease. 34(3). 417–431. 158 indexed citations
14.
Betarbet, Ranjita, Rosa Canet-Aviles, Todd Sherer, et al.. (2006). Intersecting pathways to neurodegeneration in Parkinson's disease: Effects of the pesticide rotenone on DJ-1, α-synuclein, and the ubiquitin–proteasome system. Neurobiology of Disease. 22(2). 404–420. 274 indexed citations
15.
Panov, Alexander, et al.. (2005). Rotenone Model of Parkinson Disease. Journal of Biological Chemistry. 280(51). 42026–42035. 235 indexed citations
16.
Caboni, Pierluigi, Todd Sherer, Nanjing Zhang, et al.. (2004). Rotenone, Deguelin, Their Metabolites, and the Rat Model of Parkinson's Disease. Chemical Research in Toxicology. 17(11). 1540–1548. 157 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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