Ryan R. Walsh

1.5k total citations
31 papers, 439 citations indexed

About

Ryan R. Walsh is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Ryan R. Walsh has authored 31 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Neurology and 8 papers in Cognitive Neuroscience. Recurrent topics in Ryan R. Walsh's work include Advanced Neuroimaging Techniques and Applications (11 papers), Parkinson's Disease Mechanisms and Treatments (9 papers) and Functional Brain Connectivity Studies (7 papers). Ryan R. Walsh is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (11 papers), Parkinson's Disease Mechanisms and Treatments (9 papers) and Functional Brain Connectivity Studies (7 papers). Ryan R. Walsh collaborates with scholars based in United States, Canada and Italy. Ryan R. Walsh's co-authors include Maurizio Bergamino, Ashley M. Stokes, Virendra Mishra, Karthik Sreenivasan, Xiaowei Zhuang, Zhengshi Yang, Dietmar Cordes, Elizabeth G. Keeling, David A. Kaminsky and Alastair Moore and has published in prestigious journals such as NeuroImage, Neurology and Scientific Reports.

In The Last Decade

Ryan R. Walsh

30 papers receiving 432 citations

Peers

Ryan R. Walsh
Swati Rane United States
Marjorie Villien France
Melanie A. Morrison United States
Roberto De Blasi Italy
Joseph Mettenburg United States
Nikkita Khattar United States
Jason Su United States
Katsuyuki Obara Japan
Rüdiger Mielke Germany
Swati Rane United States
Ryan R. Walsh
Citations per year, relative to Ryan R. Walsh Ryan R. Walsh (= 1×) peers Swati Rane

Countries citing papers authored by Ryan R. Walsh

Since Specialization
Citations

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

Fields of papers citing papers by Ryan R. Walsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan R. Walsh. 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 Ryan R. Walsh. The network helps show where Ryan R. Walsh may publish in the future.

Co-authorship network of co-authors of Ryan R. Walsh

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan R. Walsh. A scholar is included among the top collaborators of Ryan R. Walsh 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 Ryan R. Walsh. Ryan R. Walsh 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.
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Walsh, Ryan R., Steven P. Piccoli, Damon Love, et al.. (2023). Vodobatinib, a potent, orally bioavailable brain-penetrating inhibitor of c-Abl as a potential neuroprotective agent for treatment of Parkinson disease. Parkinsonism & Related Disorders. 113.
3.
Walsh, Ryan R., Nitin K. Damle, Steven P. Piccoli, et al.. (2023). Plasma and cerebrospinal fluid pharmacokinetics of vodobatinib, a neuroprotective c-Abl tyrosine kinase inhibitor for the treatment of Parkinson's disease. Parkinsonism & Related Disorders. 108. 105281–105281. 17 indexed citations
4.
Bergamino, Maurizio, Simona Schiavi, Alessandro Daducci, Ryan R. Walsh, & Ashley M. Stokes. (2022). Analysis of Brain Structural Connectivity Networks and White Matter Integrity in Patients With Mild Cognitive Impairment. Frontiers in Aging Neuroscience. 14. 793991–793991. 13 indexed citations
5.
Bergamino, Maurizio, Elizabeth G. Keeling, Ryan R. Walsh, & Ashley M. Stokes. (2021). Systematic Assessment of the Impact of DTI Methodology on Fractional Anisotropy Measures in Alzheimer’s Disease. Tomography. 7(1). 20–38. 9 indexed citations
6.
Bergamino, Maurizio, Ryan R. Walsh, & Ashley M. Stokes. (2021). Free-water diffusion tensor imaging improves the accuracy and sensitivity of white matter analysis in Alzheimer’s disease. Scientific Reports. 11(1). 6990–6990. 67 indexed citations
7.
Hauser, Robert A., et al.. (2021). Amantadine ER (Gocovri®) Significantly Increases ON Time Without Any Dyskinesia: Pooled Analyses From Pivotal Trials in Parkinson's Disease. Frontiers in Neurology. 12. 645706–645706. 18 indexed citations
8.
Cordes, Dietmar, Muhammad Kaleem, Zhengshi Yang, et al.. (2021). Energy-Period Profiles of Brain Networks in Group fMRI Resting-State Data: A Comparison of Empirical Mode Decomposition With the Short-Time Fourier Transform and the Discrete Wavelet Transform. Frontiers in Neuroscience. 15. 663403–663403. 16 indexed citations
9.
Bergamino, Maurizio, Ryan R. Walsh, & Ashley M. Stokes. (2021). Analysis of brain structural connectivity networks and white matter integrity in patients with mild cognitive impairment. Alzheimer s & Dementia. 17(S5). 1 indexed citations
10.
Walsh, Ryan R., Maurizio Bergamino, & Ashley M. Stokes. (2020). Free-Water Diffusion Tensor Imaging (DTI) Improves the Accuracy and Sensitivity of White Matter Analysis in Alzheimer’s Disease (4979). Neurology. 94(15_supplement). 3 indexed citations
11.
Bergamino, Maurizio, Elizabeth G. Keeling, Virendra Mishra, Ashley M. Stokes, & Ryan R. Walsh. (2020). Assessing White Matter Pathology in Early-Stage Parkinson Disease Using Diffusion MRI: A Systematic Review. Frontiers in Neurology. 11. 314–314. 36 indexed citations
12.
Hauser, Robert A., Daniel Kremens, Lawrence Elmer, et al.. (2019). Prevalence of Dyskinesia and OFF by 30-Minute Intervals Through the Day and Assessment of Daily Episodes of Dyskinesia and OFF: Novel Analyses of Diary Data from Gocovri Pivotal Trials. Journal of Parkinson s Disease. 9(3). 591–600. 14 indexed citations
13.
Sreenivasan, Karthik, Virendra Mishra, Xiaowei Zhuang, et al.. (2019). Altered functional network topology correlates with clinical measures in very early-stage, drug-naïve Parkinson's disease. Parkinsonism & Related Disorders. 62. 3–9. 21 indexed citations
14.
Mishra, Virendra, Karthik Sreenivasan, Xiaowei Zhuang, et al.. (2019). Influence of analytic techniques on comparing DTI-derived measurements in early stage Parkinson's disease. Heliyon. 5(4). e01481–e01481. 18 indexed citations
15.
Mishra, Virendra, Karthik Sreenivasan, Zhengshi Yang, et al.. (2019). Unique white matter structural connectivity in early-stage drug-naive Parkinson disease. Neurology. 94(8). e774–e784. 26 indexed citations
16.
Zhuang, Xiaowei, Ryan R. Walsh, Karthik Sreenivasan, et al.. (2018). Incorporating spatial constraint in co-activation pattern analysis to explore the dynamics of resting-state networks: An application to Parkinson's disease. NeuroImage. 172. 64–84. 23 indexed citations
17.
LaBelle, Denise R., Ryan R. Walsh, & Sarah J. Banks. (2017). Latent Cognitive Phenotypes in De Novo Parkinson’s Disease: A Person-Centered Approach. Journal of the International Neuropsychological Society. 23(7). 551–563. 8 indexed citations
18.
Moore, Alastair, et al.. (2014). How Common Is Airflow Limitation in Patients With Emphysema on CT Scan of the Chest?. CHEST Journal. 148(1). 176–184. 36 indexed citations
19.
Cummings, Jeffrey L., Sarah J. Banks, Ronald K. Gary, et al.. (2013). Alzheimer's disease drug development: translational neuroscience strategies. CNS Spectrums. 18(3). 128–138. 17 indexed citations
20.
Zhang, Jianhua, Ryan R. Walsh, & Ming Xu. (2000). Probing the Role of the Dopamine D1 Receptor in Psychostimulant Addiction. Annals of the New York Academy of Sciences. 914(1). 13–21. 10 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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