Connie Marras

21.3k total citations · 5 hit papers
237 papers, 10.5k citations indexed

About

Connie Marras is a scholar working on Neurology, Psychiatry and Mental health and Cognitive Neuroscience. According to data from OpenAlex, Connie Marras has authored 237 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 189 papers in Neurology, 40 papers in Psychiatry and Mental health and 36 papers in Cognitive Neuroscience. Recurrent topics in Connie Marras's work include Parkinson's Disease Mechanisms and Treatments (174 papers), Neurological disorders and treatments (76 papers) and Autism Spectrum Disorder Research (21 papers). Connie Marras is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (174 papers), Neurological disorders and treatments (76 papers) and Autism Spectrum Disorder Research (21 papers). Connie Marras collaborates with scholars based in Canada, United States and Germany. Connie Marras's co-authors include Anthony E. Lang, Caroline M. Tanner, Paula A. Rochon, К. Ray Chaudhuri, Samuel M. Goldman, Meike Kasten, J. William Langston, G. Webster Ross, Cheryl Meng and Susan H. Fox and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

Connie Marras

224 papers receiving 10.2k citations

Hit Papers

Rotenone, Paraquat, and Parkinson’s Disease 2011 2026 2016 2021 2011 2018 2024 2018 2022 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Rotenone, Paraquat, and Parkinson’s Disease
    2011 1.1k citations Connie Marras et al. profile →
  2. Prevalence of Parkinson’s disease across North America
    2018 674 citations Connie Marras et al. npj Parkinson s Disease profile →
  3. The epidemiology of Parkinson's disease
    2024 327 citations Connie Marras et al. profile →
  4. Risk factors for non-motor symptoms in Parkinson's disease
    2018 248 citations Connie Marras, Jacobus J. van Hilten et al. profile →
  5. Incidence of Parkinson disease in North America
    2022 164 citations Connie Marras et al. npj Parkinson s Disease profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Connie Marras Canada 54 6.9k 1.9k 1.7k 1.4k 1.2k 237 10.5k
Joaquim J. Ferreira Portugal 56 7.5k 1.1× 2.7k 1.4× 1.2k 0.7× 1.3k 0.9× 1.1k 0.9× 403 11.6k
Ubaldo Bonuccelli Italy 56 6.6k 1.0× 2.5k 1.3× 2.1k 1.2× 1.5k 1.0× 1.7k 1.4× 365 11.1k
Ole‐Bjørn Tysnes Norway 44 5.6k 0.8× 1.3k 0.7× 1.1k 0.6× 1.5k 1.1× 1.0k 0.8× 192 8.3k
Gianni Pezzoli Italy 60 8.0k 1.2× 3.0k 1.6× 1.2k 0.7× 2.6k 1.8× 1.3k 1.0× 285 12.8k
James H. Bower United States 54 6.2k 0.9× 2.4k 1.2× 984 0.6× 923 0.6× 881 0.7× 151 9.5k
Richard Dodel Germany 60 4.5k 0.6× 1.7k 0.9× 2.3k 1.4× 1.7k 1.2× 1.3k 1.0× 289 11.9k
Matthew Stern United States 33 8.3k 1.2× 2.2k 1.2× 1.2k 0.7× 826 0.6× 1.4k 1.2× 68 10.3k
Piu Chan China 51 7.6k 1.1× 2.7k 1.4× 1.1k 0.7× 2.3k 1.6× 2.2k 1.8× 189 13.5k
Alexis Elbaz France 58 3.2k 0.5× 1.4k 0.7× 1.7k 1.0× 1.6k 1.1× 746 0.6× 177 10.7k
Kenneth Marek United States 52 9.9k 1.4× 3.5k 1.8× 1.2k 0.7× 1.8k 1.2× 1.8k 1.5× 189 13.5k

Countries citing papers authored by Connie Marras

Since Specialization
Citations

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

Fields of papers citing papers by Connie Marras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connie Marras

This figure shows the co-authorship network connecting the top 25 collaborators of Connie Marras. A scholar is included among the top collaborators of Connie Marras 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 Connie Marras. Connie Marras 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.
Lowe, Naomi, et al.. (2025). Fears and uncertainties of people with Parkinson's disease. Journal of Parkinson s Disease. 15(3). 595–602.
2.
Erro, Roberto, Tanya S. Hauck, Daniel Ciccarone, et al.. (2025). Frozen in Addiction: A New Wave of Drug‐Induced Movement Disorders?. Movement Disorders. 40(12). 2596–2603.
3.
Swillen, Ann, Gabriela M. Repetto, Anthony E. Lang, et al.. (2025). Prevalence of Parkinson's Disease in 22q11.2 Deletion Syndrome: A Multicenter Study. Movement Disorders Clinical Practice. 12(6). 817–822.
4.
Weintraub, Daniel, Connie Marras, Amy W. Amara, et al.. (2024). Association between Subjective Cognitive Complaints and Incident Functional Impairment in Parkinson's Disease. Movement Disorders. 39(4). 706–714. 3 indexed citations
5.
Gibson, Erin, Joel Ramirez, Christopher J.M. Scott, et al.. (2024). Examining perivascular spaces (PVS) in cerebral small vessel disease (CSVD) using a novel T1- based automated PVS segmentation tool. SHILAP Revista de lepidopterología. 6. 100305–100305.
6.
Postuma, Ronald B., Tanya Simuni, Mayela Rodríguez‐Violante, et al.. (2024). Anticipating Tomorrow: Tailoring Parkinson's Symptomatic Therapy Using Predictors of Outcome. Movement Disorders Clinical Practice. 11(8). 983–991. 3 indexed citations
7.
Amara, Amy W., Karen E. Anderson, Lana M. Chahine, et al.. (2024). Cognitive Symptoms in Cross-Sectional Parkinson Disease Cohort Evaluated by Human-in-the-Loop Machine Learning and Natural Language Processing. Neurology Clinical Practice. 14(5). e200334–e200334. 3 indexed citations
8.
Awad, Paula Saffie, Bruno Lopes Santos‐Lobato, Pedro Renato de Paula Brandão, et al.. (2024). A systematic review and meta-analysis of the prevalence of Parkinson’s disease in lower to upper-middle-income countries. npj Parkinson s Disease. 10(1). 181–181. 15 indexed citations
9.
Marras, Connie, Seyed‐Mohammad Fereshtehnejad, Daniela Berg, et al.. (2024). Transitioning from Subtyping to Precision Medicine in Parkinson's Disease: A Purpose‐Driven Approach. Movement Disorders. 39(3). 462–471. 21 indexed citations
10.
Marras, Connie, et al.. (2023). Patients’ Preferences for Adjunctive Parkinson’s Disease Treatments: A Discrete-Choice Experiment. Patient Preference and Adherence. Volume 17. 2263–2277. 1 indexed citations
11.
Brien, Donald C., Jeff Huang, Brian C. Coe, et al.. (2023). Classification and staging of Parkinson's disease using video-based eye tracking. Parkinsonism & Related Disorders. 110. 105316–105316. 36 indexed citations
12.
Couto, Blas, Mário Sousa, Paulina González-Latapí, et al.. (2023). Disease Progression and Sphingolipids and Neurofilament Light Chain in Early Idiopathic Parkinson’s Disease. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 51(4). 573–576. 3 indexed citations
13.
Parr, Ashley C., Brian C. Coe, Giovanna Pari, et al.. (2022). Genetic variation in the dopamine system is associated with mixed‐strategy decision‐making in patients with Parkinson's disease. European Journal of Neuroscience. 58(12). 4523–4544. 1 indexed citations
14.
Boel, Judith A., Rob M.A. de Bie, Ben Schmand, et al.. (2022). Level I PD‐MCI Using Global Cognitive Tests and the Risk for Parkinson's Disease Dementia. Movement Disorders Clinical Practice. 9(4). 479–483. 18 indexed citations
15.
Lange, Lara M., Paulina González-Latapí, Rajasumi Rajalingam, et al.. (2022). Nomenclature of Genetic Movement Disorders: Recommendations of the International Parkinson and Movement Disorder Society Task Force – An Update. Movement Disorders. 37(5). 905–935. 58 indexed citations
16.
Lizárraga, Karlo J., Mélanie Cohn, George Tomlinson, et al.. (2022). Lateralized Subthalamic Stimulation for Axial Dysfunction in Parkinson's Disease: A Randomized Trial. Movement Disorders. 37(5). 1079–1087. 12 indexed citations
17.
Shoeibi, Ali, Irene Litvan, Jorge L. Juncos, et al.. (2019). Are the International Parkinson disease and Movement Disorder Society progressive supranuclear palsy (IPMDS-PSP) diagnostic criteria accurate enough to differentiate common PSP phenotypes?. Parkinsonism & Related Disorders. 69. 34–39. 23 indexed citations
18.
19.
Veen, Sterre van der, Rodi Zutt, Christine Klein, et al.. (2019). Nomenclature of Genetically Determined Myoclonus Syndromes: Recommendations of the International Parkinson and Movement Disorder Society Task Force. Movement Disorders. 34(11). 1602–1613. 18 indexed citations
20.
Litvan, Irene, Jorge L. Juncos, Yvette Bordelon, et al.. (2019). Hypertension and progressive supranuclear palsy. Parkinsonism & Related Disorders. 66. 166–170. 20 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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