David Loughrey

2.9k total citations · 2 hit papers
27 papers, 2.1k citations indexed

About

David Loughrey is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, David Loughrey has authored 27 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 5 papers in Infectious Diseases and 4 papers in Genetics. Recurrent topics in David Loughrey's work include RNA Interference and Gene Delivery (21 papers), Advanced biosensing and bioanalysis techniques (9 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). David Loughrey is often cited by papers focused on RNA Interference and Gene Delivery (21 papers), Advanced biosensing and bioanalysis techniques (9 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). David Loughrey collaborates with scholars based in United States, Canada and China. David Loughrey's co-authors include James E. Dahlman, Kalina Paunovska, Marine Z. C. Hatit, Julius B. Lucks, Kyle E. Watters, Melissa P. Lokugamage, Philip J. Santangelo, Hannah E. Peck, Huanzhen Ni and Alejandro J. Da Silva Sanchez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Advanced Materials.

In The Last Decade

David Loughrey

27 papers receiving 2.1k citations

Hit Papers

Drug delivery systems for RNA therapeutics 2022 2026 2023 2024 2022 2022 250 500 750

Peers

David Loughrey
Andrew R. Pickford United Kingdom
Defu Zhi China
Harshal Zope Netherlands
Dong-ki Lee South Korea
Kevin T. Love United States
David Loughrey
Citations per year, relative to David Loughrey David Loughrey (= 1×) peers Josef Schroeder

Countries citing papers authored by David Loughrey

Since Specialization
Citations

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

Fields of papers citing papers by David Loughrey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Loughrey

This figure shows the co-authorship network connecting the top 25 collaborators of David Loughrey. A scholar is included among the top collaborators of David Loughrey 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 David Loughrey. David Loughrey 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.
Zenhausern, Ryan, Bora Jang, Elisa Schrader Echeverri, et al.. (2025). Lipid nanoparticle screening in nonhuman primates with minimal loss of life. Nature Biotechnology. 4 indexed citations
2.
Huayamares, Sebastian G., Yuning Hou, Hyejin Kim, et al.. (2025). Nanoparticle delivery of a prodrug-activating bacterial enzyme leads to anti-tumor responses. Nature Communications. 16(1). 3490–3490. 5 indexed citations
3.
Loughrey, David, et al.. (2025). The time course of in vivo cellular responses to LNPs. Chemical Communications. 61(23). 4535–4538. 1 indexed citations
4.
Lian, Liming, Hyejin Kim, Camille A. Jones, et al.. (2025). Glycolipid nanoparticles target the spleen and detarget the liver without charge. Proceedings of the National Academy of Sciences. 122(45). e2409569122–e2409569122. 1 indexed citations
5.
Sanchez, Alejandro J. Da Silva, David Loughrey, Elisa Schrader Echeverri, et al.. (2024). Substituting Poly(ethylene glycol) Lipids with Poly(2‐ethyl‐2‐oxazoline) Lipids Improves Lipid Nanoparticle Repeat Dosing. Advanced Healthcare Materials. 13(17). e2304033–e2304033. 33 indexed citations
6.
Huayamares, Sebastian G., David Loughrey, Hyejin Kim, James E. Dahlman, & Eric J. Sorscher. (2024). Nucleic acid-based drugs for patients with solid tumours. Nature Reviews Clinical Oncology. 21(6). 407–427. 24 indexed citations
7.
Huayamares, Sebastian G., Melissa P. Lokugamage, Alejandro J. Da Silva Sanchez, et al.. (2023). High-throughput screens identify a lipid nanoparticle that preferentially delivers mRNA to human tumors in vivo. Journal of Controlled Release. 357. 394–403. 45 indexed citations
8.
Hatit, Marine Z. C., Curtis Dobrowolski, Melissa P. Lokugamage, et al.. (2023). Nanoparticle stereochemistry-dependent endocytic processing improves in vivo mRNA delivery. Nature Chemistry. 15(4). 508–515. 49 indexed citations
9.
Lokugamage, Melissa P., Hyejin Kim, Curtis Dobrowolski, et al.. (2023). The Transcriptional Response to Lung-Targeting Lipid Nanoparticles in Vivo. Nano Letters. 23(3). 993–1002. 46 indexed citations
10.
Sago, Cory D., Melissa P. Lokugamage, David Loughrey, et al.. (2022). Augmented lipid-nanoparticle-mediated in vivo genome editing in the lungs and spleen by disrupting Cas9 activity in the liver. Nature Biomedical Engineering. 6(2). 157–167. 52 indexed citations
11.
Ni, Huanzhen, Marine Z. C. Hatit, Kun Zhao, et al.. (2022). Piperazine-derived lipid nanoparticles deliver mRNA to immune cells in vivo. Nature Communications. 13(1). 4766–4766. 130 indexed citations breakdown →
12.
Dobrowolski, Curtis, Kalina Paunovska, Elisa Schrader Echeverri, et al.. (2022). Nanoparticle single-cell multiomic readouts reveal that cell heterogeneity influences lipid nanoparticle-mediated messenger RNA delivery. Nature Nanotechnology. 17(8). 871–879. 60 indexed citations
13.
Hatit, Marine Z. C., Melissa P. Lokugamage, Curtis Dobrowolski, et al.. (2022). Species-dependent in vivo mRNA delivery and cellular responses to nanoparticles. Nature Nanotechnology. 17(3). 310–318. 93 indexed citations
14.
Paunovska, Kalina, Alejandro J. Da Silva Sanchez, Melissa P. Lokugamage, et al.. (2022). The Extent to Which Lipid Nanoparticles Require Apolipoprotein E and Low-Density Lipoprotein Receptor for Delivery Changes with Ionizable Lipid Structure. Nano Letters. 22(24). 10025–10033. 44 indexed citations
15.
Sanchez, Alejandro J. Da Silva, Curtis Dobrowolski, Ana Cristian, et al.. (2022). Universal Barcoding Predicts In Vivo ApoE-Independent Lipid Nanoparticle Delivery. Nano Letters. 22(12). 4822–4830. 38 indexed citations
16.
Loughrey, David & James E. Dahlman. (2021). Non-liver mRNA Delivery. Accounts of Chemical Research. 55(1). 13–23. 132 indexed citations
17.
Gan, Zubao, Melissa P. Lokugamage, Marine Z. C. Hatit, et al.. (2020). Nanoparticles containing constrained phospholipids deliver mRNA to liver immune cells in vivo without targeting ligands. Bioengineering & Translational Medicine. 5(3). e10161–e10161. 59 indexed citations
18.
Paunovska, Kalina, David Loughrey, Emmeline L. Blanchard, et al.. (2020). Increased PIP3 activity blocks nanoparticle mRNA delivery. Science Advances. 6(30). eaba5672–eaba5672. 21 indexed citations
19.
Paunovska, Kalina, David Loughrey, Cory D. Sago, Róbert Langer, & James E. Dahlman. (2019). Using Large Datasets to Understand Nanotechnology. Advanced Materials. 31(43). e1902798–e1902798. 47 indexed citations
20.
Strobel, Eric J., Kyle E. Watters, David Loughrey, & Julius B. Lucks. (2016). RNA systems biology: uniting functional discoveries and structural tools to understand global roles of RNAs. Current Opinion in Biotechnology. 39. 182–191. 45 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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