Megan E. Muroski

1.4k total citations
26 papers, 1.1k citations indexed

About

Megan E. Muroski is a scholar working on Molecular Biology, Biomedical Engineering and Immunology. According to data from OpenAlex, Megan E. Muroski has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Biomedical Engineering and 6 papers in Immunology. Recurrent topics in Megan E. Muroski's work include Advanced biosensing and bioanalysis techniques (7 papers), RNA Interference and Gene Delivery (6 papers) and Nanoplatforms for cancer theranostics (5 papers). Megan E. Muroski is often cited by papers focused on Advanced biosensing and bioanalysis techniques (7 papers), RNA Interference and Gene Delivery (6 papers) and Nanoplatforms for cancer theranostics (5 papers). Megan E. Muroski collaborates with scholars based in United States, China and United Kingdom. Megan E. Muroski's co-authors include Maciej S. Lesniak, Yu Han, Jason Miska, Aida Rashidi, Geoffrey F. Strouse, Lingjiao Zhang, Yu Cheng, Aurora Lopez‐Rosas, Catalina Lee-Chang and Ramin A. Morshed and has published in prestigious journals such as Journal of the American Chemical Society, Nano Letters and ACS Nano.

In The Last Decade

Megan E. Muroski

26 papers receiving 1.0k citations

Peers

Megan E. Muroski
Gabi Hanna United States
Daehong Kim South Korea
Becky Slagle‐Webb United States
Ann‐Marie Chacko United States
Laird Miers United States
Megan E. Muroski
Citations per year, relative to Megan E. Muroski Megan E. Muroski (= 1×) peers Gaia Zuccolotto

Countries citing papers authored by Megan E. Muroski

Since Specialization
Citations

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

Fields of papers citing papers by Megan E. Muroski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan E. Muroski

This figure shows the co-authorship network connecting the top 25 collaborators of Megan E. Muroski. A scholar is included among the top collaborators of Megan E. Muroski 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 E. Muroski. Megan E. Muroski 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.
Mathur, Divita, Katherine E. Rogers, Sebastián A. Dı́az, et al.. (2022). Determining the Cytosolic Stability of Small DNA Nanostructures In Cellula. Nano Letters. 22(12). 5037–5045. 19 indexed citations
2.
Muroski, Megan E., Eunkeu Oh, Okhil K. Nag, et al.. (2020). Gold-Nanoparticle-Mediated Depolarization of Membrane Potential Is Dependent on Concentration and Tethering Distance from the Plasma Membrane. Bioconjugate Chemistry. 31(3). 567–576. 7 indexed citations
3.
Nag, Okhil K., Megan E. Muroski, David A. Hastman, et al.. (2020). Nanoparticle-Mediated Visualization and Control of Cellular Membrane Potential: Strategies, Progress, and Remaining Issues. ACS Nano. 14(3). 2659–2677. 35 indexed citations
4.
Ames, Cheryl Lewis, Abigail Reft, Lauren D. Field, et al.. (2020). Cassiosomes are stinging-cell structures in the mucus of the upside-down jellyfish Cassiopea xamachana. Communications Biology. 3(1). 67–67. 39 indexed citations
5.
Miska, Jason, Catalina Lee-Chang, Aida Rashidi, et al.. (2019). HIF-1α Is a Metabolic Switch between Glycolytic-Driven Migration and Oxidative Phosphorylation-Driven Immunosuppression of Tregs in Glioblastoma. Cell Reports. 27(1). 226–237.e4. 230 indexed citations
6.
Muroski, Megan E., Okhil K. Nag, Eunkeu Oh, Alan L. Huston, & James B. Delehanty. (2019). Controlled membrane depolarization through photothermal effects of tethered gold nanoparticles. 20–20. 1 indexed citations
8.
Muroski, Megan E., Geoffry Laufersky, Rachael Kenworthy, et al.. (2018). Selective Uptake Into Drug Resistant Mammalian Cancer by Cell Penetrating Peptide-Mediated Delivery. Bioconjugate Chemistry. 29(10). 3273–3284. 24 indexed citations
9.
Wu, Congyu, Megan E. Muroski, Jason Miska, et al.. (2018). Repolarization of myeloid derived suppressor cells via magnetic nanoparticles to promote radiotherapy for glioma treatment. Nanomedicine Nanotechnology Biology and Medicine. 16. 126–137. 45 indexed citations
10.
Muroski, Megan E., Jason Miska, Alan L. Chang, et al.. (2017). Fatty Acid Uptake in T Cell Subsets Using a Quantum Dot Fatty Acid Conjugate. Scientific Reports. 7(1). 5790–5790. 26 indexed citations
11.
Spencer, Drew, Brenda Auffinger, Jason Murphy, et al.. (2017). Hitting a Moving Target: Glioma Stem Cells Demand New Approaches in Glioblastoma Therapy. Current Cancer Drug Targets. 17(3). 236–254. 15 indexed citations
12.
Feng, Qishuai, Yajing Shen, Yingjie Fu, et al.. (2017). Self-Assembly of Gold Nanoparticles Shows Microenvironment-Mediated Dynamic Switching and Enhanced Brain Tumor Targeting. Theranostics. 7(7). 1875–1889. 76 indexed citations
13.
Rashidi, Aida, Jason Miska, Katarzyna C. Pituch, et al.. (2017). IMMU-06. GCN2 KINASE IS ESSENTIAL FOR ADAPTIVE T-CELL IMMUNITY IN GLIOMA. Neuro-Oncology. 19(suppl_6). vi113–vi113. 1 indexed citations
14.
Miska, Jason, Aida Rashidi, Alan L. Chang, et al.. (2016). Anti-GITR therapy promotes immunity against malignant glioma in a murine model. Cancer Immunology Immunotherapy. 65(12). 1555–1567. 33 indexed citations
15.
Muroski, Megan E., Ramin A. Morshed, Yu Cheng, et al.. (2016). Controlled Payload Release by Magnetic Field Triggered Neural Stem Cell Destruction for Malignant Glioma Treatment. PLoS ONE. 11(1). e0145129–e0145129. 27 indexed citations
16.
Cheng, Yu, Megan E. Muroski, D. Petit, et al.. (2015). Rotating magnetic field induced oscillation of magnetic particles for in vivo mechanical destruction of malignant glioma. Journal of Controlled Release. 223. 75–84. 112 indexed citations
17.
Tanasova, Marina, Matthew B. Plutschack, Megan E. Muroski, et al.. (2013). Fluorescent THF‐Based Fructose Analogue Exhibits Fructose‐Dependent Uptake. ChemBioChem. 14(10). 1263–1270. 23 indexed citations
18.
Muroski, Megan E., et al.. (2012). Bimodal Gold Nanoparticle Therapeutics for Manipulating Exogenous and Endogenous Protein Levels in Mammalian Cells. Journal of the American Chemical Society. 134(48). 19722–19730. 17 indexed citations
19.
Muroski, Megan E., et al.. (2008). Matrix Metalloproteinase-9/Gelatinase B is a Putative Therapeutic Target of Chronic Obstructive Pulmonary Disease and Multiple Sclerosis. Current Pharmaceutical Biotechnology. 9(1). 34–46. 110 indexed citations
20.
Chakrabarti, Ratna, Liza D. Robles, Jane Whitney Gibson, & Megan E. Muroski. (2002). Profiling of differential expression of messenger RNA in normal, benign, and metastatic prostate cell lines. Cancer Genetics and Cytogenetics. 139(2). 115–125. 21 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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