Anelyssa D’Abreu

2.5k total citations
76 papers, 1.8k citations indexed

About

Anelyssa D’Abreu is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Anelyssa D’Abreu has authored 76 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Neurology, 40 papers in Cellular and Molecular Neuroscience and 17 papers in Molecular Biology. Recurrent topics in Anelyssa D’Abreu's work include Genetic Neurodegenerative Diseases (37 papers), Neurological disorders and treatments (31 papers) and Parkinson's Disease Mechanisms and Treatments (31 papers). Anelyssa D’Abreu is often cited by papers focused on Genetic Neurodegenerative Diseases (37 papers), Neurological disorders and treatments (31 papers) and Parkinson's Disease Mechanisms and Treatments (31 papers). Anelyssa D’Abreu collaborates with scholars based in Brazil, United States and Canada. Anelyssa D’Abreu's co-authors include Marcondes C. França, Íscia Lopes‐Cendes, Fernando Cendes, Clarissa Lin Yasuda, Anamarli Nucci, Joseph H. Friedman, Rachel Guimarães, Brian R. Ott, Thiago Junqueira Ribeiro de Rezende and Joyce Liporace and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Anelyssa D’Abreu

70 papers receiving 1.7k citations

Peers

Anelyssa D’Abreu

CMN

NEURO

RNMI

PMH

Iris Reuter Germany

Stephan Klebe Germany

Charlotte A. Haaxma Netherlands

Karen Busenbark United States

Wing Lok Au Singapore

Catherine A. Gorrie Australia

Jin Whan Cho South Korea

Iva Stanković Serbia

B. V. Manyam United States

Christoph Globas Germany

Iris Reuter Germany

Anelyssa D’Abreu

274 ×0.3

CMN

779 ×0.9

NEURO

166 ×0.3

68 ×0.2

RNMI

291 ×1.2

PMH

Citations per year, relative to Anelyssa D’Abreu Anelyssa D’Abreu (= 1×) peers Iris Reuter

Countries citing papers authored by Anelyssa D’Abreu

Since Specialization

Citations

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

Fields of papers citing papers by Anelyssa D’Abreu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anelyssa D’Abreu. 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 Anelyssa D’Abreu. The network helps show where Anelyssa D’Abreu may publish in the future.

Co-authorship network of co-authors of Anelyssa D’Abreu

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

All Works

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20 of 20 papers shown

D’Abreu, Anelyssa, Azziza Bankole, Jaideep Kapur, Carol A. Manning, & Pavel Chernyavskiy. (2024). Association of the Area Deprivation Index With Dementia Basic Workup and Diagnosis in Central and Western Virginia. Neurology Clinical Practice. 14(5). e200323–e200323. 1 indexed citations

Wilson, Andrew, et al.. (2024). Understanding Data and Opportunities Focused on Value. Neurology Clinical Practice. 15(1). e200347–e200347.

D’Abreu, Anelyssa, et al.. (2023). Prevalence of cogwheel phenomenon in Parkinson's disease. Journal of the Neurological Sciences. 455. 121735–121735. 1 indexed citations

Sanderson, John, David D. Liu, Peter M. Lauro, et al.. (2020). Multi-Dimensional, Short-Timescale Quantification of Parkinson's Disease and Essential Tremor Motor Dysfunction. Frontiers in Neurology. 11. 886–886. 5 indexed citations

Kim, Duk Soo, Richard N. Jones, Anelyssa D’Abreu, Joseph H. Friedman, & Umer Akbar. (2019). Trend in PEG placement in Parkinson’s disease compared to Alzheimer dementia and ALS (P5.8-034). Neurology. 92(15_supplement). 1 indexed citations

Guimarães, Rachel, Brunno Machado de Campos, Thiago Junqueira Ribeiro de Rezende, et al.. (2018). Is Diffusion Tensor Imaging a Good Biomarker for Early Parkinson's Disease?. Frontiers in Neurology. 9. 626–626. 34 indexed citations

Rezende, Thiago Junqueira Ribeiro de, Paula Azevedo, Fábio R. Torres, et al.. (2017). Exploratory structural assessment in craniocervical dystonia: Global and differential analyses. PLoS ONE. 12(8). e0182735–e0182735. 12 indexed citations

Guimarães, Rachel, et al.. (2016). Does Side of Onset Influence the Pattern of Cerebral Atrophy in Parkinson’s Disease?. Frontiers in Neurology. 7. 145–145. 6 indexed citations

Martínez, Alberto, et al.. (2016). Fatigue and Its Associated Factors in Spinocerebellar Ataxia Type 3/Machado-Joseph Disease. The Cerebellum. 16(1). 118–121. 20 indexed citations

10.

Martínez, Alberto, Adriana Moro, Agessandro Abrahão, et al.. (2016). Nonneurological Involvement in Late-Onset Friedreich Ataxia (LOFA): Exploring the Phenotypes. The Cerebellum. 16(1). 253–256. 18 indexed citations

11.

Rezende, Thiago Junqueira Ribeiro de, Alberto Martínez, Rachel Guimarães, et al.. (2015). Bilateral Caudate Atrophy Distinguishes Dystonic Vs Non-Dystonic Patients With Machado-Joseph Disease (P2.133). Neurology. 84(14_supplement).

12.

Guimarães, Rachel, Brunno Machado de Campos, Fábio R. Torres, et al.. (2013). Infratentorial gray matter atrophy and excess in primary craniocervical dystonia. Parkinsonism & Related Disorders. 20(2). 198–203. 22 indexed citations

13.

D’Abreu, Anelyssa, et al.. (2013). Dysautonomia Is Frequent in Machado-Joseph Disease: Clinical and Neurophysiological Evaluation. The Cerebellum. 12(4). 513–519. 13 indexed citations

14.

D’Abreu, Anelyssa, et al.. (2012). Spinal Cord Atrophy Correlates with Disability in Friedreich’s Ataxia. The Cerebellum. 12(1). 43–47. 32 indexed citations

15.

França, Marcondes C., Vanessa E Emmel, Anelyssa D’Abreu, et al.. (2012). Normal ATXN3 Allele but Not CHIP Polymorphisms Modulates Age at Onset in Machado–Joseph Disease. Frontiers in Neurology. 3. 164–164. 17 indexed citations

16.

França, Marcondes C., Anelyssa D’Abreu, Clarissa Lin Yasuda, et al.. (2009). A combined voxel-based morphometry and 1H-MRS study in patients with Friedreich’s ataxia. Journal of Neurology. 256(7). 1114–1120. 49 indexed citations

17.

França, Marcondes C., Anelyssa D’Abreu, Cláudia Vianna Maurer‐Morelli, et al.. (2007). Prospective neuroimaging study in hereditary spastic paraplegia with thin corpus callosum. Movement Disorders. 22(11). 1556–1562. 31 indexed citations

18.

França, Marcondes C., Anelyssa D’Abreu, Joseph H. Friedman, Anamarli Nucci, & Íscia Lopes‐Cendes. (2007). Chronic Pain in Machado-Joseph Disease. Archives of Neurology. 64(12). 1767–1767. 24 indexed citations

19.

Amick, Melissa M., et al.. (2006). Excessive daytime sleepiness and on-road driving performance in patients with Parkinson's disease. Journal of the Neurological Sciences. 252(1). 13–15. 17 indexed citations

20.

D’Abreu, Anelyssa, et al.. (2005). Non‐movement disorder heralds symptoms of Machado‐Joseph disease years before ataxia. Movement Disorders. 20(6). 739–741. 18 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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