Megha Vasavada

1.5k total citations
35 papers, 1.2k citations indexed

About

Megha Vasavada is a scholar working on Pharmacology, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Megha Vasavada has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pharmacology, 13 papers in Cognitive Neuroscience and 11 papers in Neurology. Recurrent topics in Megha Vasavada's work include Treatment of Major Depression (16 papers), Functional Brain Connectivity Studies (12 papers) and Electroconvulsive Therapy Studies (11 papers). Megha Vasavada is often cited by papers focused on Treatment of Major Depression (16 papers), Functional Brain Connectivity Studies (12 papers) and Electroconvulsive Therapy Studies (11 papers). Megha Vasavada collaborates with scholars based in United States, Philippines and Spain. Megha Vasavada's co-authors include Randall Espinoza, Katherine L. Narr, Amber M. Leaver, Shantanu H. Joshi, Roger P. Woods, Stephanie Njau, Benjamin Wade, Qing X. Yang, Gerhard Hellemann and Xiaoyu Sun and has published in prestigious journals such as NeuroImage, Biological Psychiatry and Cerebral Cortex.

In The Last Decade

Megha Vasavada

35 papers receiving 1.2k citations

Peers

Megha Vasavada
Eliza Coleman United States
Mala Ananth United States
Megha Vasavada
Citations per year, relative to Megha Vasavada Megha Vasavada (= 1×) peers Kenji Sakuma

Countries citing papers authored by Megha Vasavada

Since Specialization
Citations

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

Fields of papers citing papers by Megha Vasavada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megha Vasavada

This figure shows the co-authorship network connecting the top 25 collaborators of Megha Vasavada. A scholar is included among the top collaborators of Megha Vasavada 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 Megha Vasavada. Megha Vasavada 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.
Leaver, Amber M., Sara Gonzalez, Megha Vasavada, et al.. (2022). Modulation of brain networks during MR-compatible transcranial direct current stimulation. NeuroImage. 250. 118874–118874. 15 indexed citations
2.
Tsolaki, Evangelia, Katherine L. Narr, Randall Espinoza, et al.. (2020). Subcallosal Cingulate Structural Connectivity Differs in Responders and Nonresponders to Electroconvulsive Therapy. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 6(1). 10–19. 11 indexed citations
3.
Sahib, Ashish, Joana Loureiro, Megha Vasavada, et al.. (2020). Modulation of inhibitory control networks relate to clinical response following ketamine therapy in major depression. Translational Psychiatry. 10(1). 260–260. 28 indexed citations
4.
Gonzalez, Sara, Megha Vasavada, Stephanie Njau, et al.. (2020). Acute changes in cerebral blood flow after single-infusion ketamine in major depression: A pilot study. Neurology Psychiatry and Brain Research. 38. 5–11. 8 indexed citations
5.
Sahib, Ashish, Joana Loureiro, Megha Vasavada, et al.. (2020). Single and repeated ketamine treatment induces perfusion changes in sensory and limbic networks in major depressive disorder. European Neuropsychopharmacology. 33. 89–100. 33 indexed citations
6.
Kruse, Jennifer L., Gerhard Hellemann, Benjamin Wade, et al.. (2020). Inflammation and depression treatment response to electroconvulsive therapy: Sex-specific role of interleukin-8. Brain Behavior and Immunity. 89. 59–66. 36 indexed citations
7.
Vasavada, Megha, Joana Loureiro, Antoni Kubicki, et al.. (2020). Effects of Serial Ketamine Infusions on Corticolimbic Functional Connectivity in Major Depression. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 6(7). 735–744. 40 indexed citations
8.
Loureiro, Joana, Amber M. Leaver, Megha Vasavada, et al.. (2020). Modulation of amygdala reactivity following rapidly acting interventions for major depression. Human Brain Mapping. 41(7). 1699–1710. 51 indexed citations
9.
Leaver, Amber M., Megha Vasavada, Antoni Kubicki, et al.. (2020). Hippocampal subregions and networks linked with antidepressant response to electroconvulsive therapy. Molecular Psychiatry. 26(8). 4288–4299. 39 indexed citations
10.
Leaver, Amber M., Megha Vasavada, Shantanu H. Joshi, et al.. (2018). Mechanisms of Antidepressant Response to Electroconvulsive Therapy Studied With Perfusion Magnetic Resonance Imaging. Biological Psychiatry. 85(6). 466–476. 46 indexed citations
11.
Kubicki, Antoni, Amber M. Leaver, Megha Vasavada, et al.. (2018). Variations in Hippocampal White Matter Diffusivity Differentiate Response to Electroconvulsive Therapy in Major Depression. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 4(3). 300–309. 31 indexed citations
12.
Wang, Jianli, et al.. (2017). A Free-breathing fMRI Method to Study Human Olfactory Function. Journal of Visualized Experiments. 8 indexed citations
13.
Njau, Stephanie, Shantanu H. Joshi, Randall Espinoza, et al.. (2016). Neurochemical correlates of rapid treatment response to electroconvulsive therapy in patients with major depression. Journal of Psychiatry and Neuroscience. 42(1). 6–16. 79 indexed citations
14.
Pirnia, Tara, S. K. Joshi, Amber M. Leaver, et al.. (2016). Electroconvulsive therapy and structural neuroplasticity in neocortical, limbic and paralimbic cortex. Translational Psychiatry. 6(6). e832–e832. 81 indexed citations
15.
Njau, Stephanie, Shantanu H. Joshi, Amber M. Leaver, et al.. (2016). Variations in myo-inositol in fronto-limbic regions and clinical response to electroconvulsive therapy in major depression. Journal of Psychiatric Research. 80. 45–51. 16 indexed citations
16.
Wade, Benjamin, Shantanu H. Joshi, Stephanie Njau, et al.. (2016). Effect of Electroconvulsive Therapy on Striatal Morphometry in Major Depressive Disorder. Neuropsychopharmacology. 41(10). 2481–2491. 77 indexed citations
17.
Vasavada, Megha, Amber M. Leaver, Randall Espinoza, et al.. (2015). Structural connectivity and response to ketamine therapy in major depression: A preliminary study. Journal of Affective Disorders. 190. 836–841. 49 indexed citations
18.
Leaver, Amber M., Randall Espinoza, Shantanu H. Joshi, et al.. (2015). Desynchronization and Plasticity of Striato-frontal Connectivity in Major Depressive Disorder. Cerebral Cortex. 26(11). 4337–4346. 41 indexed citations
19.
Wang, Jianli, Qing X. Yang, Xiaoyu Sun, et al.. (2015). MRI evaluation of asymmetry of nigrostriatal damage in the early stage of early-onset Parkinson's disease. Parkinsonism & Related Disorders. 21(6). 590–596. 55 indexed citations
20.
Meadowcroft, Mark D., Jianli Wang, Douglas G. Peters, et al.. (2015). Reduced white matter MRI transverse relaxation rate in cognitively normal H63D-HFE human carriers and H67D-HFE mice. Brain Imaging and Behavior. 10(4). 1231–1242. 7 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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