Danielle Moreno

1.5k total citations
20 papers, 675 citations indexed

About

Danielle Moreno is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Danielle Moreno has authored 20 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Neurology, 7 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Danielle Moreno's work include Amyotrophic Lateral Sclerosis Research (13 papers), Neurogenetic and Muscular Disorders Research (7 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). Danielle Moreno is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (13 papers), Neurogenetic and Muscular Disorders Research (7 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). Danielle Moreno collaborates with scholars based in Canada, United States and United Kingdom. Danielle Moreno's co-authors include Christine Sato, Ekaterina Rogaeva, Lorne Zinman, Janice Robertson, Zhengrui Xi, Mahdi Ghani, Yan Liang, Julia Keith, Yonglan Zheng and Samar Dib and has published in prestigious journals such as Neurology, Scientific Reports and The American Journal of Human Genetics.

In The Last Decade

Danielle Moreno

20 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Moreno Canada 14 457 316 259 127 111 20 675
Bhuvaneish T. Selvaraj United Kingdom 15 317 0.7× 354 1.1× 174 0.7× 55 0.4× 113 1.0× 30 709
Rubika Balendra United Kingdom 9 607 1.3× 354 1.1× 331 1.3× 28 0.2× 130 1.2× 16 837
Shinobu Hirai Japan 13 230 0.5× 287 0.9× 83 0.3× 70 0.6× 114 1.0× 41 604
Jennifer A. Fifita Australia 16 493 1.1× 291 0.9× 288 1.1× 48 0.4× 97 0.9× 23 707
Denise Levitch United States 6 635 1.4× 264 0.8× 302 1.2× 29 0.2× 226 2.0× 8 766
Claire S. Leblond Canada 11 394 0.9× 244 0.8× 173 0.7× 26 0.2× 62 0.6× 16 554
Javier H. Jara United States 14 434 0.9× 249 0.8× 271 1.0× 22 0.2× 106 1.0× 15 677
Hongru Zhou China 7 394 0.9× 467 1.5× 258 1.0× 25 0.2× 84 0.8× 8 701
Annelies Van Hoecke Belgium 6 463 1.0× 162 0.5× 207 0.8× 19 0.1× 201 1.8× 6 613
Clare A. Puddifoot United Kingdom 9 189 0.4× 520 1.6× 166 0.6× 29 0.2× 89 0.8× 9 715

Countries citing papers authored by Danielle Moreno

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Moreno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Moreno

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Moreno. A scholar is included among the top collaborators of Danielle Moreno 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 Danielle Moreno. Danielle Moreno 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.
McKeever, Paul M., Zhiyu Xu, Shangxi Xiao, et al.. (2025). Single-nucleus transcriptome atlas of orbitofrontal cortex in ALS with a deep learning-based decoding of alternative polyadenylation mechanisms. Cell Genomics. 5(12). 101007–101007. 1 indexed citations
2.
Zhang, Ming, Zhengrui Xi, Sara Sáez-Atiénzar, et al.. (2021). Combined epigenetic/genetic study identified an ALS age of onset modifier. Acta Neuropathologica Communications. 9(1). 75–75. 11 indexed citations
3.
Taghdiri, Foad, Ruma Goswami, Christine Sato, et al.. (2020). Interaction of APOE4 alleles and PET tau imaging in former contact sport athletes. NeuroImage Clinical. 26. 102212–102212. 19 indexed citations
4.
McKeever, Paul M., Zhengrui Xi, Danielle Moreno, et al.. (2020). DNA methylation age acceleration is associated with ALS age of onset and survival. Acta Neuropathologica. 139(5). 943–946. 33 indexed citations
5.
Zhang, Ming, Maria Carmela Tartaglia, Danielle Moreno, et al.. (2017). DNA methylation age-acceleration is associated with disease duration and age at onset in C9orf72 patients. Acta Neuropathologica. 134(2). 271–279. 44 indexed citations
6.
Zhang, Ming, Marka van Blitterswijk, Christine Sato, et al.. (2017). Unaffected mosaic C9orf72 case. Neurology. 90(4). e323–e331. 27 indexed citations
7.
Taghdiri, Foad, Christine Sato, Mahdi Ghani, et al.. (2016). Novel GRN Mutations in Patients with Corticobasal Syndrome. Scientific Reports. 6(1). 22913–22913. 7 indexed citations
8.
Zhang, Ming, Zhengrui Xi, Karen Misquitta, et al.. (2016). C9orf72 and ATXN2 repeat expansions coexist in a family with ataxia, dementia, and parkinsonism. Movement Disorders. 32(1). 158–162. 12 indexed citations
9.
Zhang, Ming, Zhengrui Xi, Mahdi Ghani, et al.. (2015). Mutation analysis of CHCHD2 in Canadian patients with familial Parkinson's disease. Neurobiology of Aging. 38. 217.e7–217.e8. 13 indexed citations
10.
Anor, Cassandra Jessica, Zhengrui Xi, Ming Zhang, et al.. (2015). Mutation analysis of C9orf72 in patients with corticobasal syndrome. Neurobiology of Aging. 36(10). 2905.e1–2905.e5. 15 indexed citations
11.
Ghani, Mahdi, Anthony E. Lang, Lorne Zinman, et al.. (2014). Mutation analysis of patients with neurodegenerative disorders using NeuroX array. Neurobiology of Aging. 36(1). 545.e9–545.e14. 26 indexed citations
12.
Xi, Zhengrui, Innocenzo Rainero, Elisa Rubino, et al.. (2014). Hypermethylation of the CpG-island near the C9orf72 G4C2-repeat expansion in FTLD patients. Human Molecular Genetics. 23(21). 5630–5637. 71 indexed citations
13.
Xi, Zhengrui, Yana Yunusova, Marka van Blitterswijk, et al.. (2014). Identical twins with the C9orf72 repeat expansion are discordant for ALS. Neurology. 83(16). 1476–1478. 35 indexed citations
14.
Ghani, Mahdi, Christine Sato, Joseph H. Lee, et al.. (2013). Evidence of Recessive Alzheimer Disease Loci in a Caribbean Hispanic Data Set. JAMA Neurology. 70(10). 1261–7. 28 indexed citations
15.
Xi, Zhengrui, Lorne Zinman, Danielle Moreno, et al.. (2013). Hypermethylation of the CpG Island Near the G4C2 Repeat in ALS with a C9orf72 Expansion. The American Journal of Human Genetics. 92(6). 981–989. 201 indexed citations
16.
Ghani, Mahdi, Dalila Pinto, Joseph H. Lee, et al.. (2012). Genome-Wide Survey of Large Rare Copy Number Variants in Alzheimer’s Disease Among Caribbean Hispanics. G3 Genes Genomes Genetics. 2(1). 71–78. 43 indexed citations
17.
Robertson, Janice, J. M. Bilbao, Lorne Zinman, et al.. (2010). A novel double mutation in FUS gene causing sporadic ALS. Neurobiology of Aging. 32(3). 553.e27–553.e30. 33 indexed citations
18.
Zinman, Lorne, Christine Sato, Yosuke Wakutani, et al.. (2009). A mechanism for low penetrance in an ALS family with a novel SOD1 deletion. Neurology. 72(13). 1153–1159. 30 indexed citations
19.
Marras, Connie, Christine Klein, Anthony E. Lang, et al.. (2008). LRRK2 and Parkin mutations in a family with parkinsonism—Lack of genotype–phenotype correlation. Neurobiology of Aging. 31(4). 721–722. 7 indexed citations
20.
Munhoz, Renato P., Yosuke Wakutani, Connie Marras, et al.. (2007). The G2019S LRRK2 mutation in Brazilian patients with Parkinson's disease: Phenotype in monozygotic twins. Movement Disorders. 23(2). 290–294. 19 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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