Amy M. Birch

1.3k total citations
16 papers, 1.0k citations indexed

About

Amy M. Birch is a scholar working on Physiology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Amy M. Birch has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Neurology. Recurrent topics in Amy M. Birch's work include Alzheimer's disease research and treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Amy M. Birch is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Amy M. Birch collaborates with scholars based in United Kingdom, Ireland and United States. Amy M. Birch's co-authors include Aine Marie Kelly, Magdalena Sastre, Loukia Katsouri, Éadaoin W. Griffin, Nazanin Mirzaei, Carmen Smotherman, Christopher Jankowski, Dale F. Kraemer, Nicholas D. Mazarakis and Ioanna Eleftheriadou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, British Journal of Pharmacology and Journal of Pharmaceutical Sciences.

In The Last Decade

Amy M. Birch

16 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amy M. Birch United Kingdom	14	343	268	227	195	193	16	1.0k
Ana Belén López-Rodríguez Spain	21	249 0.7×	400 1.5×	323 1.4×	112 0.6×	242 1.3×	35	1.3k
Julia R. Clarke Brazil	17	496 1.4×	327 1.2×	267 1.2×	51 0.3×	366 1.9×	35	1.4k
Luciene Bruno Vieira Brazil	22	324 0.9×	171 0.6×	545 2.4×	81 0.4×	416 2.2×	49	1.3k
Vicente Hernández‐Rabaza Spain	26	144 0.4×	341 1.3×	433 1.9×	314 1.6×	548 2.8×	39	1.8k
Katrine Fabricius Denmark	17	289 0.8×	172 0.6×	223 1.0×	74 0.4×	326 1.7×	39	1.1k
Bipul Ray India	15	328 1.0×	212 0.8×	523 2.3×	44 0.2×	198 1.0×	25	1.2k
Magdalena Miranda Argentina	10	250 0.7×	181 0.7×	280 1.2×	171 0.9×	383 2.0×	23	1.2k
Huacheng Yan China	14	117 0.3×	239 0.9×	345 1.5×	81 0.4×	282 1.5×	28	1.1k
Juan D. Navarro‐López Spain	18	402 1.2×	205 0.8×	336 1.5×	41 0.2×	479 2.5×	48	1.1k
Paul Wren United Kingdom	13	274 0.8×	146 0.5×	333 1.5×	151 0.8×	505 2.6×	19	1.2k

Countries citing papers authored by Amy M. Birch

Since Specialization

Citations

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

Fields of papers citing papers by Amy M. Birch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy M. Birch. 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 Amy M. Birch. The network helps show where Amy M. Birch may publish in the future.

Co-authorship network of co-authors of Amy M. Birch

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

All Works

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16 of 16 papers shown

Mirzaei, Nazanin, Bibiana Castagna Mota, Amy M. Birch, et al.. (2020). Imidazoline ligand BU224 reverses cognitive deficits, reduces microgliosis and enhances synaptic connectivity in a mouse model of Alzheimer's disease. British Journal of Pharmacology. 178(3). 654–671. 12 indexed citations

Katsouri, Loukia, Amy M. Birch, Alexander Renziehausen, et al.. (2019). Ablation of reactive astrocytes exacerbates disease pathology in a model of Alzheimer's disease. Glia. 68(5). 1017–1030. 58 indexed citations

Zhang, Ningyu, Callum Parr, Amy M. Birch, Marc Goldfinger, & Magdalena Sastre. (2018). The amyloid precursor protein binds to β-catenin and modulates its cellular distribution. Neuroscience Letters. 685. 190–195. 15 indexed citations

Birch, Amy M. & Aine Marie Kelly. (2018). Lifelong environmental enrichment in the absence of exercise protects the brain from age-related cognitive decline. Neuropharmacology. 145(Pt A). 59–74. 51 indexed citations

Lewis, Penelope A., Amy M. Birch, Alexander Hall, & Robin Dunbar. (2017). Higher order intentionality tasks are cognitively more demanding. Social Cognitive and Affective Neuroscience. 12(7). 1063–1071. 42 indexed citations

Katsouri, Loukia, Yau Mun Lim, Ioanna Eleftheriadou, et al.. (2016). PPARγ-coactivator-1α gene transfer reduces neuronal loss and amyloid-β generation by reducing β-secretase in an Alzheimer’s disease model. Proceedings of the National Academy of Sciences. 113(43). 12292–12297. 124 indexed citations

Birch, Amy M., James O. Burton, Wenlong Huang, et al.. (2016). Alterations in the Expression of Transcription Factors PPARγ and NFκB in the Brain of Models of Chronic Pain. Biochemistry & Pharmacology Open Access. 5(4). 3 indexed citations

Birch, Amy M., Loukia Katsouri, & Magdalena Sastre. (2014). Modulation of inflammation in transgenic models of Alzheimer’s disease. Journal of Neuroinflammation. 11(1). 25–25. 99 indexed citations

Birch, Amy M.. (2014). The contribution of astrocytes to Alzheimer's disease. Biochemical Society Transactions. 42(5). 1316–1320. 42 indexed citations

10.

Katsouri, Loukia, et al.. (2014). Systemic administration of fibroblast growth factor-2 (FGF2) reduces BACE1 expression and amyloid pathology in APP23 mice. Neurobiology of Aging. 36(2). 821–831. 43 indexed citations

11.

Smotherman, Carmen, et al.. (2014). Comparison of Acute Kidney Injury During Treatment with Vancomycin in Combination with Piperacillin‐Tazobactam or Cefepime. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 34(7). 662–669. 154 indexed citations

12.

Birch, Amy M. & Aine Marie Kelly. (2013). Chronic intracerebroventricular infusion of nerve growth factor improves recognition memory in the rat. Neuropharmacology. 75. 255–261. 34 indexed citations

13.

Birch, Amy M., et al.. (2013). Short‐term environmental enrichment, in the absence of exercise, improves memory, and increases NGF concentration, early neuronal survival, and synaptogenesis in the dentate gyrus in a time‐dependent manner. Hippocampus. 23(6). 437–450. 126 indexed citations

14.

Blau, Christoph W., Thelma R. Cowley, Joan B. O’Sullivan, et al.. (2011). The age-related deficit in LTP is associated with changes in perfusion and blood-brain barrier permeability. Neurobiology of Aging. 33(5). 1005.e23–1005.e35. 71 indexed citations

15.

Griffin, Éadaoin W., et al.. (2009). Exercise enhances hippocampal‐dependent learning in the rat: Evidence for a BDNF‐related mechanism. Hippocampus. 19(10). 973–980. 146 indexed citations

16.

Etzler, Frank M., et al.. (2009). Effects of lipophilic components on the compatibility of lipid-based formulations with hard gelatin capsules. Journal of Pharmaceutical Sciences. 99(1). 128–141. 14 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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