M. Elizabeth Meyerand

11.8k total citations · 4 hit papers
115 papers, 8.5k citations indexed

About

M. Elizabeth Meyerand is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, M. Elizabeth Meyerand has authored 115 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Cognitive Neuroscience, 64 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Psychiatry and Mental health. Recurrent topics in M. Elizabeth Meyerand's work include Functional Brain Connectivity Studies (55 papers), Advanced MRI Techniques and Applications (40 papers) and Advanced Neuroimaging Techniques and Applications (37 papers). M. Elizabeth Meyerand is often cited by papers focused on Functional Brain Connectivity Studies (55 papers), Advanced MRI Techniques and Applications (40 papers) and Advanced Neuroimaging Techniques and Applications (37 papers). M. Elizabeth Meyerand collaborates with scholars based in United States, United Kingdom and Sweden. M. Elizabeth Meyerand's co-authors include Victor M. Haughton, Konstantinos Arfanakis, Chad H. Moritz, John D. Carew, Michelle Quigley, Dietmar Cordes, P A Turski, Rasmus M. Birn, Vivek Prabhakaran and Baxter P. Rogers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

M. Elizabeth Meyerand

114 papers receiving 8.3k citations

Hit Papers

Frequencies contributing to functional connectivity in th... 2000 2026 2008 2017 2001 2000 2013 2002 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Elizabeth Meyerand United States 42 5.2k 4.1k 1.0k 831 743 115 8.5k
Arthur W. Toga United States 43 4.1k 0.8× 4.9k 1.2× 1.4k 1.4× 860 1.0× 1.1k 1.5× 144 9.5k
James Saunders United States 11 5.7k 1.1× 5.7k 1.4× 1.5k 1.5× 1.2k 1.5× 919 1.2× 26 11.2k
Konstantinos Arfanakis United States 39 3.4k 0.6× 3.4k 0.8× 1.4k 1.4× 1.0k 1.2× 685 0.9× 160 7.9k
Wen‐Yih Isaac Tseng Taiwan 48 3.7k 0.7× 6.3k 1.6× 1.3k 1.3× 766 0.9× 1.2k 1.6× 216 10.1k
Rami K. Niazy United Kingdom 8 6.5k 1.3× 6.0k 1.5× 1.5k 1.5× 1.2k 1.5× 926 1.2× 10 11.7k
David G. Norris Germany 55 5.3k 1.0× 6.9k 1.7× 1.0k 1.0× 980 1.2× 348 0.5× 238 12.1k
Flavio Dell’Acqua United Kingdom 42 5.1k 1.0× 4.3k 1.0× 1.1k 1.0× 537 0.6× 1.0k 1.4× 91 8.0k
Ivana Drobnjak United Kingdom 23 6.4k 1.2× 7.2k 1.8× 1.6k 1.6× 1.3k 1.6× 1.1k 1.5× 41 12.8k
Stuart Clare United Kingdom 32 4.1k 0.8× 3.5k 0.9× 933 0.9× 528 0.6× 796 1.1× 70 8.0k
Wen Qin China 49 5.1k 1.0× 3.2k 0.8× 1.0k 1.0× 628 0.8× 387 0.5× 281 9.2k

Countries citing papers authored by M. Elizabeth Meyerand

Since Specialization
Citations

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

Fields of papers citing papers by M. Elizabeth Meyerand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Elizabeth Meyerand. 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 M. Elizabeth Meyerand. The network helps show where M. Elizabeth Meyerand may publish in the future.

Co-authorship network of co-authors of M. Elizabeth Meyerand

This figure shows the co-authorship network connecting the top 25 collaborators of M. Elizabeth Meyerand. A scholar is included among the top collaborators of M. Elizabeth Meyerand 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 M. Elizabeth Meyerand. M. Elizabeth Meyerand 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.
Nair, Veena A., Camille Garcia‐Ramos, Kevin Dabbs, et al.. (2024). Characterizing white matter connectome abnormalities in patients with temporal lobe epilepsy using threshold‐free network‐based statistics. Brain and Behavior. 14(8). e3643–e3643. 2 indexed citations
2.
Struck, Aaron F., Camille Garcia‐Ramos, Veena A. Nair, et al.. (2024). The relevance of Spearman's g for epilepsy. Brain Communications. 6(3). fcae176–fcae176.
3.
Adluru, Nagesh, Veena A. Nair, Camille Garcia‐Ramos, et al.. (2023). Association of neighborhood deprivation with white matter connectome abnormalities in temporal lobe epilepsy. Epilepsia. 64(9). 2484–2498. 8 indexed citations
4.
Dabbs, Kevin, Veena A. Nair, Dace Almane, et al.. (2023). T1−/T2‐weighted ratio reveals no alterations to gray matter myelination in temporal lobe epilepsy. Annals of Clinical and Translational Neurology. 10(11). 2149–2154. 1 indexed citations
5.
Struck, Aaron F., Mélanie Boly, Gyujoon Hwang, et al.. (2021). Regional and global resting-state functional MR connectivity in temporal lobe epilepsy: Results from the Epilepsy Connectome Project. Epilepsy & Behavior. 117. 107841–107841. 22 indexed citations
6.
Birn, Rasmus M., et al.. (2021). Cortisol effects on brain functional connectivity during emotion processing in women with depression. Journal of Affective Disorders. 287. 247–254. 13 indexed citations
7.
Nair, Veena A., Camille Garcia‐Ramos, Rosaleena Mohanty, et al.. (2020). Graph Theory Analysis of Functional Connectivity Combined with Machine Learning Approaches Demonstrates Widespread Network Differences and Predicts Clinical Variables in Temporal Lobe Epilepsy. Brain Connectivity. 10(1). 39–50. 35 indexed citations
8.
Meyerand, M. Elizabeth, et al.. (2018). Childhood Emotional Abuse Moderates Associations Among Corticomotor White Matter Structure and Stress Neuromodulators in Women With and Without Depression. Frontiers in Neuroscience. 12. 256–256. 5 indexed citations
9.
La, Christian, Veena A. Nair, Pouria Mossahebi, et al.. (2016). Implication of the Slow-5 Oscillations in the Disruption of the Default-Mode Network in Healthy Aging and Stroke. Brain Connectivity. 6(6). 482–495. 20 indexed citations
10.
Vergun, Svyatoslav, Wolfgang Gaggl, Veena A. Nair, et al.. (2016). Classification and Extraction of Resting State Networks Using Healthy and Epilepsy fMRI Data. Frontiers in Neuroscience. 10. 440–440. 25 indexed citations
11.
Lewis, Christina, Samuel A. Hurley, M. Elizabeth Meyerand, & Cheng Guan Koay. (2015). Data‐driven optimized flip angle selection for T1 estimation from spoiled gradient echo acquisitions. Magnetic Resonance in Medicine. 76(3). 792–802. 6 indexed citations
12.
Bernau, Ksenija, Christina Lewis, Hélène A Benink, et al.. (2014). In vivo tracking of human neural progenitor cells in the rat brain using bioluminescence imaging. Journal of Neuroscience Methods. 228. 67–78. 15 indexed citations
13.
Birn, Rasmus M., M. Daniela Cornejo, Erin K. Molloy, et al.. (2014). The Influence of Physiological Noise Correction on Test–Retest Reliability of Resting-State Functional Connectivity. Brain Connectivity. 4(7). 511–522. 67 indexed citations
14.
Song, Jie, Rasmus M. Birn, Mélanie Boly, et al.. (2014). Age-Related Reorganizational Changes in Modularity and Functional Connectivity of Human Brain Networks. Brain Connectivity. 4(9). 662–676. 191 indexed citations
15.
Chen, Feng, Paul A. Ellison, Christina Lewis, et al.. (2013). Chelator‐Free Synthesis of a Dual‐Modality PET/MRI Agent. Angewandte Chemie International Edition. 52(50). 13319–13323. 106 indexed citations
16.
Vergun, Svyatoslav, Timothy B. Meier, Jie Song, et al.. (2013). Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data. Frontiers in Computational Neuroscience. 7. 38–38. 66 indexed citations
17.
Birn, Rasmus M., Erin K. Molloy, Rémi Patriat, et al.. (2013). The effect of scan length on the reliability of resting-state fMRI connectivity estimates. NeuroImage. 83. 550–558. 630 indexed citations breakdown →
18.
Witt, Suzanne T. & M. Elizabeth Meyerand. (2009). The Effects of Computational Method, Data Modeling, and TR on Effective Connectivity Results. Brain Imaging and Behavior. 3(2). 220–231. 22 indexed citations
19.
Laird, Angela R., Baxter P. Rogers, John D. Carew, et al.. (2002). Characterizing instantaneous phase relationships in whole‐brain fMRI activation data. Human Brain Mapping. 16(2). 71–80. 28 indexed citations
20.
Dunn, Jeff F., Youssef Zaim Wadghiri, & M. Elizabeth Meyerand. (1999). Regional heterogeneity in the brain's response to hypoxia measured using BOLD MR imaging. Magnetic Resonance in Medicine. 41(4). 850–854. 29 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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