Una FitzGerald

2.6k total citations
50 papers, 2.0k citations indexed

About

Una FitzGerald is a scholar working on Molecular Biology, Cell Biology and Neurology. According to data from OpenAlex, Una FitzGerald has authored 50 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 20 papers in Cell Biology and 10 papers in Neurology. Recurrent topics in Una FitzGerald's work include Endoplasmic Reticulum Stress and Disease (14 papers), Autophagy in Disease and Therapy (7 papers) and Multiple Sclerosis Research Studies (6 papers). Una FitzGerald is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (14 papers), Autophagy in Disease and Therapy (7 papers) and Multiple Sclerosis Research Studies (6 papers). Una FitzGerald collaborates with scholars based in Ireland, United Kingdom and Switzerland. Una FitzGerald's co-authors include Afshin Samali, Éva Szegezdi, Jill McMahon, Robert F. Hillary, Stephen McQuaid, Sanjeev Gupta, Shane Deegan, Honorata Kraśkiewicz, Paula Cunnea and Susan C. Barnett and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Una FitzGerald

46 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Una FitzGerald Ireland 21 938 838 441 232 211 50 2.0k
Yoshio Bandô Japan 27 1.2k 1.3× 829 1.0× 483 1.1× 249 1.1× 252 1.2× 82 2.8k
Harald Frankowski United States 16 1.5k 1.6× 470 0.6× 372 0.8× 711 3.1× 99 0.5× 18 2.4k
Satoru Yamagishi Japan 22 1.1k 1.2× 647 0.8× 311 0.7× 970 4.2× 139 0.7× 51 2.3k
Heng Wu China 22 1.4k 1.5× 270 0.3× 226 0.5× 292 1.3× 92 0.4× 43 2.2k
Sathyaseelan S. Deepa United States 29 1.7k 1.8× 1.1k 1.3× 561 1.3× 527 2.3× 112 0.5× 55 3.2k
Dominic C.H. Ng Australia 27 1.4k 1.5× 396 0.5× 116 0.3× 227 1.0× 180 0.9× 67 2.2k
Feng Wu China 34 1.4k 1.5× 289 0.3× 331 0.8× 231 1.0× 100 0.5× 67 3.0k
Keiko Nakanishi Japan 17 1.0k 1.1× 914 1.1× 434 1.0× 227 1.0× 62 0.3× 37 1.9k
Dietmar Zechner Germany 23 2.5k 2.7× 621 0.7× 209 0.5× 234 1.0× 249 1.2× 71 3.7k
Minchul Seo South Korea 18 686 0.7× 274 0.3× 714 1.6× 139 0.6× 71 0.3× 59 1.8k

Countries citing papers authored by Una FitzGerald

Since Specialization
Citations

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

Fields of papers citing papers by Una FitzGerald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Una FitzGerald

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

All Works

20 of 20 papers shown
1.
McMahon, Jill, et al.. (2024). Measurement of immune and inflammatory biomarkers in serum and saliva in a multiple sclerosis cohort. Neuroscience Applied. 3. 104659–104659.
2.
Peris, Leticia, Delphine Meffre, Benoît Manfroi, et al.. (2024). The inflammatory APRIL (a proliferation-inducing ligand) antagonizes chondroitin sulphate proteoglycans to promote axonal growth and myelination. Brain Communications. 7(1). fcae473–fcae473.
3.
Walski, Tomasz, Eugenia Pugliese, Madeleine M. Lowery, et al.. (2023). Micromotion Derived Fluid Shear Stress Mediates Peri‐Electrode Gliosis through Mechanosensitive Ion Channels. Advanced Science. 10(27). e2301352–e2301352. 12 indexed citations
4.
McMahon, Jill, et al.. (2023). Prodromal Parkinson's disease and the catecholaldehyde hypothesis: Insight from olfactory bulb organotypic cultures. The FASEB Journal. 37(12). e23272–e23272. 3 indexed citations
5.
Shologu, Naledi, et al.. (2022). Macromolecular crowding in the development of a three-dimensional organotypic human breast cancer model. Biomaterials. 287. 121642–121642. 6 indexed citations
6.
FitzGerald, Una, et al.. (2020). Dysregulation of astrocytic mitochondrial function following exposure to a dopamine metabolite: Implications for Parkinson's disease. European Journal of Neuroscience. 53(9). 2960–2972. 13 indexed citations
7.
Hillary, Robert F. & Una FitzGerald. (2018). A lifetime of stress: ATF6 in development and homeostasis. Journal of Biomedical Science. 25(1). 48–48. 196 indexed citations
8.
FitzGerald, Una, et al.. (2018). Interplay of Inflammatory Mediators with Epigenetics and Cartilage Modifications in Osteoarthritis. Frontiers in Bioengineering and Biotechnology. 6. 22–22. 43 indexed citations
9.
McMahon, Jill, et al.. (2017). Threshold-based segmentation of fluorescent and chromogenic images of microglia, astrocytes and oligodendrocytes in FIJI. Journal of Neuroscience Methods. 295. 87–103. 36 indexed citations
10.
Liu, Min, Qin Shen, Pierce Lalor, et al.. (2016). Ulk4 Is Essential for Ciliogenesis and CSF Flow. Journal of Neuroscience. 36(29). 7589–7600. 31 indexed citations
11.
McMahon, Jill, et al.. (2016). Significant glial alterations in response to iron loading in a novel organotypic hippocampal slice culture model. Scientific Reports. 6(1). 36410–36410. 41 indexed citations
12.
McMahon, Jill, et al.. (2013). Calreticulin and other components of endoplasmic reticulum stress in rat and human inflammatory demyelination. Acta Neuropathologica Communications. 1(1). 37–37. 48 indexed citations
13.
Mathew, Asha, Janelle M.P. Pakan, Estelle Collin, et al.. (2013). An ex-vivo multiple sclerosis model of inflammatory demyelination using hyperbranched polymer. Biomaterials. 34(23). 5872–5882. 3 indexed citations
14.
Kraśkiewicz, Honorata & Una FitzGerald. (2011). InterfERing with endoplasmic reticulum stress. Trends in Pharmacological Sciences. 33(2). 53–63. 81 indexed citations
15.
Kraśkiewicz, Honorata & Una FitzGerald. (2011). Partial XBP1 knockdown does not affect viability of oligodendrocyte precursor cells exposed to new models of hypoxia and ischemia in vitro. Journal of Neuroscience Research. 89(5). 661–673. 8 indexed citations
16.
Cunnea, Paula, Jill McMahon, Enda O’Connell, et al.. (2009). Gene expression analysis of the microvascular compartment in multiple sclerosis using laser microdissected blood vessels. Acta Neuropathologica. 119(5). 601–615. 28 indexed citations
17.
Concannon, Caoimhín G., Una FitzGerald, Carina I. Holmberg, et al.. (2005). CD95-mediated alteration in Hsp70 levels is dependent on protein stabilization. Cell Stress and Chaperones. 10(1). 59–59. 8 indexed citations
18.
Williams, Sarah K., et al.. (2005). Role of Mayven, a kelch‐related protein in oligodendrocyte process formation. Journal of Neuroscience Research. 81(5). 622–631. 19 indexed citations
19.
FitzGerald, Una, et al.. (2000). UMBILICAL CORD ENDOTHELIAL CELLS EXPRESSING LARGE T ANTIGEN: COMPARISON WITH PRIMARY CULTURES AND EFFECT OF CELL AGE. In Vitro Cellular & Developmental Biology - Animal. 36(4). 222–222. 3 indexed citations
20.
Spence, Heather J., et al.. (2000). Krp1, a novel kelch related protein that is involved in pseudopod elongation in transformed cells. Oncogene. 19(10). 1266–1276. 45 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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