Meghann C. Ryan

1000 total citations
22 papers, 236 citations indexed

About

Meghann C. Ryan is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Meghann C. Ryan has authored 22 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Cognitive Neuroscience and 8 papers in Neurology. Recurrent topics in Meghann C. Ryan's work include Advanced Neuroimaging Techniques and Applications (10 papers), Functional Brain Connectivity Studies (9 papers) and Advanced MRI Techniques and Applications (7 papers). Meghann C. Ryan is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (10 papers), Functional Brain Connectivity Studies (9 papers) and Advanced MRI Techniques and Applications (7 papers). Meghann C. Ryan collaborates with scholars based in United States, United Kingdom and Australia. Meghann C. Ryan's co-authors include Peter Kochunov, L. Elliot Hong, Laura M. Rowland, Thomas Ernst, Huajun Liang, S. Andrea Wijtenburg, John Sladky, Stephen McGuire, Shyamasundaran Kottilil and Paul M. Sherman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neurology and Biological Psychiatry.

In The Last Decade

Meghann C. Ryan

21 papers receiving 233 citations

Peers

Meghann C. Ryan

NEURO

RNMI

PMH

CCICM

Jonika Tannous United States

Nathalie Martin United States

Lealani Mae Y. Acosta United States

Marta Arpone Australia

Lorenzo Ferri Italy

José Guerrero-González United States

Danielle R. Sullivan United States

Cheshire Hardcastle United States

Costanza Peinkhofer Denmark

Nadine A. Schwab United States

Jonika Tannous United States

Meghann C. Ryan

104 ×1.3

50 ×0.6

NEURO

34 ×0.5

RNMI

108 ×2.9

PMH

6 ×0.2

CCICM

Citations per year, relative to Meghann C. Ryan Meghann C. Ryan (= 1×) peers Jonika Tannous

Countries citing papers authored by Meghann C. Ryan

Since Specialization

Citations

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

Fields of papers citing papers by Meghann C. Ryan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meghann C. Ryan

This figure shows the co-authorship network connecting the top 25 collaborators of Meghann C. Ryan. A scholar is included among the top collaborators of Meghann C. Ryan 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 Meghann C. Ryan. Meghann C. Ryan 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

Liu, Peiying, Thomas Ernst, Huajun Liang, et al.. (2024). Elevated cerebral oxygen extraction in patients with post-COVID conditions. PubMed. 3(3-4). 169–174. 2 indexed citations

Chang, Linda, Meghann C. Ryan, Huajun Liang, et al.. (2023). Changes in Brain Activation Patterns During Working Memory Tasks in People With Post-COVID Condition and Persistent Neuropsychiatric Symptoms. Neurology. 100(23). e2409–e2423. 20 indexed citations

Liang, Huajun, Thomas Ernst, Kenichi Oishi, et al.. (2023). Abnormal brain diffusivity in participants with persistent neuropsychiatric symptoms after COVID-19. PubMed. 0(0). 37–48. 13 indexed citations

Liang, Huajun, Amal Isaiah, Christine Cloak, et al.. (2023). Prenatal tobacco exposure on brain morphometry partially mediated poor cognitive performance in preadolescent children. PubMed. 2(4). 375–386. 1 indexed citations

Liu, Peiying, Thomas Ernst, Huajun Liang, et al.. (2023). Lower Cerebral Venous Oxygenation in Post-acute Sequelae of COVID-19. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 2 indexed citations

Ernst, Thomas, Meghann C. Ryan, Huajun Liang, et al.. (2023). Neuronal and Glial Metabolite Abnormalities in Participants With Persistent Neuropsychiatric Symptoms After COVID-19: A Brain Proton Magnetic Resonance Spectroscopy Study. The Journal of Infectious Diseases. 228(11). 1559–1570. 15 indexed citations

Saleh, Muhammad G., Linda Chang, Huajun Liang, et al.. (2022). Ongoing oxidative stress in individuals with post-acute sequelae of COVID-19. PubMed. 2(2). 89–94. 9 indexed citations

Ryan, Meghann C., L. Elliot Hong, Kathryn S. Hatch, et al.. (2022). The additive impact of cardio‐metabolic disorders and psychiatric illnesses on accelerated brain aging. Human Brain Mapping. 43(6). 1997–2010. 13 indexed citations

Isaiah, Amal, Thomas Ernst, Huajun Liang, et al.. (2022). Associations between socioeconomic gradients and racial disparities in preadolescent brain outcomes. Pediatric Research. 94(1). 356–364. 5 indexed citations

10.

Ryan, Meghann C., Huajun Liang, Eleanor Wilson, et al.. (2022). Quantifying the neuropsychiatric symptoms in post-acute sequelae of COVID-19 (PASC) using the NIH Toolbox^® and PROMIS. PubMed. 2(2). 95–101. 7 indexed citations

11.

Kochunov, Peter, Meghann C. Ryan, Kathryn S. Hatch, et al.. (2021). Comparison of regional brain deficit patterns in common psychiatric and neurological disorders as revealed by big data. NeuroImage Clinical. 29. 102574–102574. 7 indexed citations

12.

Wang, Jingtao, Peter Kochunov, Hemalatha Sampath, et al.. (2021). White matter brain aging in relationship to schizophrenia and its cognitive deficit. Schizophrenia Research. 230. 9–16. 28 indexed citations

13.

McGuire, Stephen, Meghann C. Ryan, Paul M. Sherman, et al.. (2019). White matter and hypoxic hypobaria in humans. Human Brain Mapping. 40(11). 3165–3173. 11 indexed citations

14.

Adhikari, Bhim M., Juergen Dukart, Joerg F. Hipp, et al.. (2019). Effects of ketamine and midazolam on resting state connectivity and comparison with ENIGMA connectivity deficit patterns in schizophrenia. Human Brain Mapping. 41(3). 767–778. 15 indexed citations

15.

Ryan, Meghann C., Peter Kochunov, Paul M. Sherman, et al.. (2018). Miniature pig magnetic resonance spectroscopy model of normal adolescent brain development. Journal of Neuroscience Methods. 308. 173–182. 12 indexed citations

16.

Kochunov, Peter, Braxton D. Mitchell, Habib Ganjgahi, et al.. (2018). Genomic kinship construction to enhance genetic analyses in the human connectome project data. Human Brain Mapping. 40(5). 1677–1688. 13 indexed citations

17.

McGuire, Stephen, S. Andrea Wijtenburg, Paul M. Sherman, et al.. (2017). Reproducibility of quantitative structural and physiological MRI measurements. Brain and Behavior. 7(9). e00759–e00759. 18 indexed citations

18.

Ryan, Meghann C., Peter Kochunov, Laura M. Rowland, et al.. (2017). Lipid Metabolism, Abdominal Adiposity, and Cerebral Health in the Amish. Obesity. 25(11). 1876–1880. 7 indexed citations

19.

Kochunov, Peter, Erin W. Dickie, Joseph D. Viviano, et al.. (2017). Integration of routine QA data into mega‐analysis may improve quality and sensitivity of multisite diffusion tensor imaging studies. Human Brain Mapping. 39(2). 1015–1023. 11 indexed citations

20.

Ryan, Meghann C., Paul M. Sherman, Laura M. Rowland, et al.. (2017). Miniature pig model of human adolescent brain white matter development. Journal of Neuroscience Methods. 296. 99–108. 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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