Megan Rich

583 total citations
18 papers, 439 citations indexed

About

Megan Rich is a scholar working on Biomedical Engineering, Neurology and Molecular Biology. According to data from OpenAlex, Megan Rich has authored 18 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 5 papers in Neurology and 4 papers in Molecular Biology. Recurrent topics in Megan Rich's work include Ultrasound and Hyperthermia Applications (5 papers), Nanoparticle-Based Drug Delivery (4 papers) and Traumatic Brain Injury and Neurovascular Disturbances (4 papers). Megan Rich is often cited by papers focused on Ultrasound and Hyperthermia Applications (5 papers), Nanoparticle-Based Drug Delivery (4 papers) and Traumatic Brain Injury and Neurovascular Disturbances (4 papers). Megan Rich collaborates with scholars based in United States and United Kingdom. Megan Rich's co-authors include Mark Bolding, Jennifer Sherwood, Philip F. Stahel, Yuping Bao, Miriam D. Neher, Farah D. Lubin, Jason M. Warram, Bingbing Cheng, Christopher Hernandez and Imalka Munaweera and has published in prestigious journals such as Scientific Reports, Brain Research and Journal of Controlled Release.

In The Last Decade

Megan Rich

18 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Megan Rich United States 12 147 126 86 78 71 18 439
Sitong Zhou China 10 109 0.7× 167 1.3× 46 0.5× 80 1.0× 80 1.1× 17 706
Laura G. Remsen United States 14 112 0.8× 107 0.8× 113 1.3× 99 1.3× 44 0.6× 18 698
Robert A. Kroll United States 11 99 0.7× 117 0.9× 65 0.8× 132 1.7× 38 0.5× 12 608
Colin M. Wilson United States 14 166 1.1× 249 2.0× 157 1.8× 196 2.5× 74 1.0× 27 836
Zion Zibly Israel 12 287 2.0× 183 1.5× 141 1.6× 90 1.2× 49 0.7× 40 727
Jonas Franz Germany 14 56 0.4× 115 0.9× 78 0.9× 44 0.6× 50 0.7× 30 576
Ko‐Ting Chen Taiwan 13 337 2.3× 94 0.7× 81 0.9× 58 0.7× 52 0.7× 49 655
Nina P. Connolly United States 13 191 1.3× 219 1.7× 22 0.3× 148 1.9× 43 0.6× 19 694
Daniel Y. Zhang United States 12 258 1.8× 316 2.5× 165 1.9× 45 0.6× 24 0.3× 23 851
Olivia Hough Canada 8 406 2.8× 114 0.9× 55 0.6× 41 0.5× 90 1.3× 16 681

Countries citing papers authored by Megan Rich

Since Specialization
Citations

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

Fields of papers citing papers by Megan Rich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan Rich

This figure shows the co-authorship network connecting the top 25 collaborators of Megan Rich. A scholar is included among the top collaborators of Megan Rich 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 Megan Rich. Megan Rich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Rich, Megan, Jennifer Sherwood, Aundrea F. Bartley, et al.. (2020). Focused ultrasound blood brain barrier opening mediated delivery of MRI-visible albumin nanoclusters to the rat brain for localized drug delivery with temporal control. Journal of Controlled Release. 324. 172–180. 24 indexed citations
2.
Rich, Megan, et al.. (2020). A Benchtop Approach to the Location Specific Blood Brain Barrier Opening using Focused Ultrasound in a Rat Model. Journal of Visualized Experiments. 1 indexed citations
3.
Rich, Megan, et al.. (2020). A Benchtop Approach to the Location Specific Blood Brain Barrier Opening using Focused Ultrasound in a Rat Model. Journal of Visualized Experiments. 5 indexed citations
4.
Parrish, R. Ryley, Megan Rich, William M. Webb, et al.. (2019). Human and rodent temporal lobe epilepsy is characterized by changes in O-GlcNAc homeostasis that can be reversed to dampen epileptiform activity. Neurobiology of Disease. 124. 531–543. 19 indexed citations
5.
Hansen, Blake D., et al.. (2019). Latency‐based functional analysis in schools: Correspondence and differences across environments. Behavioral Interventions. 34(3). 366–376. 3 indexed citations
6.
Bing, Chenchen, Yu Hong, Christopher Hernandez, et al.. (2018). Characterization of different bubble formulations for blood-brain barrier opening using a focused ultrasound system with acoustic feedback control. Scientific Reports. 8(1). 7986–7986. 79 indexed citations
7.
Alford, Aaron, Megan Rich, Veronika Kozlovskaya, et al.. (2018). Multilayer Microcapsules: Ultrasound‐Triggered Delivery of Anticancer Therapeutics from MRI‐Visible Multilayer Microcapsules (Adv. Therap. 5/2018). Advanced Therapeutics. 1(5). 1 indexed citations
8.
Alford, Aaron, Megan Rich, Veronika Kozlovskaya, et al.. (2018). Ultrasound‐Triggered Delivery of Anticancer Therapeutics from MRI‐Visible Multilayer Microcapsules. Advanced Therapeutics. 1(5). 33 indexed citations
9.
Sherwood, Jennifer, et al.. (2017). T1-Enhanced MRI-visible nanoclusters for imaging-guided drug delivery. Nanoscale. 9(32). 11785–11792. 33 indexed citations
10.
Webb, William M., et al.. (2017). Dynamic association of epigenetic H3K4me3 and DNA 5hmC marks in the dorsal hippocampus and anterior cingulate cortex following reactivation of a fear memory. Neurobiology of Learning and Memory. 142(Pt A). 66–78. 55 indexed citations
11.
Sherwood, Jennifer, et al.. (2016). Shape-dependent cellular behaviors and relaxivity of iron oxide-based T1MRI contrast agents. Nanoscale. 8(40). 17506–17515. 36 indexed citations
12.
Rich, Megan, Miriam D. Neher, Krista Johnson, et al.. (2016). Site-targeted complement inhibition by a complement receptor 2-conjugated inhibitor (mTT30) ameliorates post-injury neuropathology in mouse brains. Neuroscience Letters. 617. 188–194. 34 indexed citations
13.
Chitalia, Yash, et al.. (2016). Autobed: Open Hardware for Accessible Web-based Control of an Electric Bed. SMARTech Repository (Georgia Institute of Technology). 2 indexed citations
14.
Chitalia, Yash, et al.. (2016). Autobed: A Web-Controlled Robotic Bed. SMARTech Repository (Georgia Institute of Technology). 2 indexed citations
15.
Neher, Miriam D., Megan Rich, Sebastian Weckbach, et al.. (2014). Deficiency of complement receptors CR2/CR1 in Cr2 -/-mice reduces the extent of secondary brain damage after closed head injury. Journal of Neuroinflammation. 11(1). 95–95. 31 indexed citations
16.
Neher, Miriam D., et al.. (2014). Serum Biomarkers for Traumatic Brain Injury. Southern Medical Journal. 107(4). 248–255. 27 indexed citations
17.
Surgucheva, Irina, Megan Rich, Ram Sharma, et al.. (2014). Role of synucleins in traumatic brain injury — An experimental in vitro and in vivo study in mice. Molecular and Cellular Neuroscience. 63. 114–123. 30 indexed citations
18.
Druse, Mary J., et al.. (2007). S100B-mediated protection against the pro-apoptotic effects of ethanol on fetal rhombencephalic neurons. Brain Research. 1150. 46–54. 24 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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