Allison Gregory

4.9k total citations
36 papers, 1.6k citations indexed

About

Allison Gregory is a scholar working on Neurology, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Allison Gregory has authored 36 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Neurology, 20 papers in Molecular Biology and 13 papers in Clinical Biochemistry. Recurrent topics in Allison Gregory's work include Neurological diseases and metabolism (29 papers), Porphyrin Metabolism and Disorders (13 papers) and Metabolism and Genetic Disorders (13 papers). Allison Gregory is often cited by papers focused on Neurological diseases and metabolism (29 papers), Porphyrin Metabolism and Disorders (13 papers) and Metabolism and Genetic Disorders (13 papers). Allison Gregory collaborates with scholars based in United States, United Kingdom and Germany. Allison Gregory's co-authors include Susan J. Hayflick, Penelope Hogarth, Michael C. Kruer, Henry Houlden, Nathalie Boddaert, Hiroaki Miyajima, Earl A. Zimmerman, Huifang Shang, Patrick F. Chinnery and Joachim Schenk and has published in prestigious journals such as PLoS ONE, Brain and Neurology.

In The Last Decade

Allison Gregory

36 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allison Gregory United States 20 1.2k 884 481 379 284 36 1.6k
Young‐Mi Yu United States 9 417 0.4× 465 0.5× 149 0.3× 375 1.0× 106 0.4× 11 1.1k
Elisa Dominguez France 13 322 0.3× 531 0.6× 187 0.4× 15 0.0× 71 0.3× 14 1.4k
Ryogen Sasaki Japan 17 290 0.3× 403 0.5× 318 0.7× 34 0.1× 593 2.1× 43 1.0k
Simone Olgiati Netherlands 13 188 0.2× 182 0.2× 198 0.4× 50 0.1× 374 1.3× 15 680
Malcolm E. Meistrell United States 9 330 0.3× 315 0.4× 152 0.3× 66 0.2× 73 0.3× 11 871
Saadet Mercimek‐Mahmutoglu Canada 22 98 0.1× 720 0.8× 183 0.4× 777 2.1× 192 0.7× 51 1.7k
Silvia Marchet Italy 16 95 0.1× 681 0.8× 118 0.2× 268 0.7× 49 0.2× 32 1.0k
Adriana Rebelo United States 16 138 0.1× 524 0.6× 257 0.5× 128 0.3× 68 0.2× 34 830
Marzena Kurzawa‐Akanbi United Kingdom 15 170 0.1× 454 0.5× 167 0.3× 93 0.2× 451 1.6× 17 1.0k
J.J. Martin Belgium 18 166 0.1× 887 1.0× 232 0.5× 331 0.9× 267 0.9× 45 1.3k

Countries citing papers authored by Allison Gregory

Since Specialization
Citations

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

Fields of papers citing papers by Allison Gregory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allison Gregory

This figure shows the co-authorship network connecting the top 25 collaborators of Allison Gregory. A scholar is included among the top collaborators of Allison Gregory 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 Allison Gregory. Allison Gregory 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.
Gregory, Allison, Jenny L. Wilson, Penelope Hogarth, & Susan J. Hayflick. (2022). Abnormal Brain Iron Accumulation is a Rare Finding in Down Syndrome Regression Disorder. Pediatric Neurology. 138. 1–4. 2 indexed citations
2.
Wilson, Jenny L., Allison Gregory, Manju A. Kurian, et al.. (2021). Consensus clinical management guideline for beta‐propeller protein‐associated neurodegeneration. Developmental Medicine & Child Neurology. 63(12). 1402–1409. 23 indexed citations
3.
Wilson, Jenny L., et al.. (2019). Cannabis Use in Children With Pantothenate Kinase–Associated Neurodegeneration. Journal of Child Neurology. 35(4). 259–264. 4 indexed citations
4.
Heimer, Gali, Allison Gregory, Penelope Hogarth, Susan J. Hayflick, & Bruria Ben Zeev. (2019). MECR-Related Neurologic Disorder. 4 indexed citations
5.
Aoun, Manar, Paola Antonia Corsetto, G. Montorfano, et al.. (2017). Changes in Red Blood Cell membrane lipid composition: A new perspective into the pathogenesis of PKAN. Molecular Genetics and Metabolism. 121(2). 180–189. 34 indexed citations
6.
Hogarth, Penelope, Manju A. Kurian, Allison Gregory, et al.. (2016). Consensus clinical management guideline for pantothenate kinase-associated neurodegeneration (PKAN). Molecular Genetics and Metabolism. 120(3). 278–287. 58 indexed citations
7.
Woltjer, Randall L., Lindsay C. Reese, Brian E. Richardson, et al.. (2015). Pallidal neuronal apolipoprotein E in pantothenate kinase-associated neurodegeneration recapitulates ischemic injury to the globus pallidus. Molecular Genetics and Metabolism. 116(4). 289–297. 12 indexed citations
8.
Gregory, Allison, Monika Hartig, Holger Prokisch, et al.. (2014). Mitochondrial Membrane Protein-Associated Neurodegeneration. 14 indexed citations
9.
Gregory, Allison & Susan J. Hayflick. (2014). Neurodegeneration with Brain Iron Accumulation Disorders Overview. 57 indexed citations
10.
Haack, Tobias B., et al.. (2013). BPAN. International review of neurobiology. 110. 85–90. 40 indexed citations
11.
Ahting, Uwe, Benedikt Bader, Adrian Danek, et al.. (2013). Alterations of Red Cell Membrane Properties in Nneuroacanthocytosis. PLoS ONE. 8(10). e76715–e76715. 23 indexed citations
12.
Kruer, Michael C., Allison Gregory, Alessandro Malandrini, et al.. (2011). Novel histopathologic findings in molecularly-confirmed pantothenate kinase-associated neurodegeneration. Brain. 134(4). 947–958. 99 indexed citations
13.
Gregory, Allison & Susan J. Hayflick. (2011). Genetics of Neurodegeneration with Brain Iron Accumulation. Current Neurology and Neuroscience Reports. 11(3). 254–261. 67 indexed citations
14.
Kruer, Michael C., Coro Paisán‐Ruíz, Nathalie Boddaert, et al.. (2010). Defective FA2H leads to a novel form of neurodegeneration with brain iron accumulation (NBIA). Annals of Neurology. 68(5). 611–618. 163 indexed citations
15.
Gregory, Allison, et al.. (2008). Clinical and genetic delineation of neurodegeneration with brain iron accumulation. Journal of Medical Genetics. 46(2). 73–80. 231 indexed citations
16.
Gregory, Allison, et al.. (2007). Intellectual and adaptive behaviour functioning in pantothenate kinase‐associated neurodegeneration. Journal of Intellectual Disability Research. 51(6). 417–426. 30 indexed citations
17.
Gregory, Allison & Susan J. Hayflick. (2006). REVIEW ARTICLE Neurodegeneration with brain iron accumulation. Folia Neuropathologica. 43(4). 286–296. 73 indexed citations
18.
Egan, Robert A., Richard G. Weleber, Penelope Hogarth, et al.. (2005). Neuro-Ophthalmologic and Electroretinographic Findings in Pantothenate Kinase-Associated Neurodegeneration (formerly Hallervorden-Spatz Syndrome). American Journal of Ophthalmology. 140(2). 267.e1–267.e9. 63 indexed citations
19.
20.
Roehrborn, Claus G., Allison Gregory, John D. McConnell, Arthur I. Sagalowsky, & Frank H. Wians. (1996). Comparison of three assays for total serum prostate-specific antigen and percentage of free prostate-specific antigen in predicting prostate histology. Urology. 48(6). 23–32. 24 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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