Stephen L. Hart

9.0k total citations
190 papers, 7.4k citations indexed

About

Stephen L. Hart is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Stephen L. Hart has authored 190 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Molecular Biology, 49 papers in Genetics and 26 papers in Physiology. Recurrent topics in Stephen L. Hart's work include RNA Interference and Gene Delivery (67 papers), Virus-based gene therapy research (42 papers) and Advanced biosensing and bioanalysis techniques (33 papers). Stephen L. Hart is often cited by papers focused on RNA Interference and Gene Delivery (67 papers), Virus-based gene therapy research (42 papers) and Advanced biosensing and bioanalysis techniques (33 papers). Stephen L. Hart collaborates with scholars based in United Kingdom, United States and India. Stephen L. Hart's co-authors include R.C. Babbedge, Maria Lis‐Balchin, Philip K. Moore, P Wallace, Z. Gaffen, Aristides D. Tagalakis, Ademola O. Oluyomi, Robin J. McAnulty, Philip Bland‐Ward and Stanley G. Deans and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and PLoS ONE.

In The Last Decade

Stephen L. Hart

187 papers receiving 7.2k citations

Peers

Stephen L. Hart
Michael J. Caplan United States
Stephen L. Hart
Citations per year, relative to Stephen L. Hart Stephen L. Hart (= 1×) peers Michael J. Caplan

Countries citing papers authored by Stephen L. Hart

Since Specialization
Citations

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

Fields of papers citing papers by Stephen L. Hart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen L. Hart. 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 Stephen L. Hart. The network helps show where Stephen L. Hart may publish in the future.

Co-authorship network of co-authors of Stephen L. Hart

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen L. Hart. A scholar is included among the top collaborators of Stephen L. Hart 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 Stephen L. Hart. Stephen L. Hart 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.
Shahaj, Eriomina, Dani Do Hyang Lee, Anna Straatman-Iwanowska, et al.. (2025). Characterisation of a primary ciliary dyskinesia model generated from BMI1 -transduced basal epithelial cells. Journal of Cell Science. 138(20).
2.
Gurung, Sonam, et al.. (2025). Delivering the Message: Translating mRNA Therapy for Liver Inherited Metabolic Diseases. Journal of Inherited Metabolic Disease. 48(5). e70078–e70078. 1 indexed citations
3.
Vilà‐González, Marta, Ricardo Fradique, Carola Maria Morell, et al.. (2024). In vitro platform to model the function of ionocytes in the human airway epithelium. Respiratory Research. 25(1). 180–180. 5 indexed citations
4.
Valle, Ignacio del, William Baird, Charalambos Demetriou, et al.. (2024). RNA Therapy for Oncogenic NRAS-Driven Nevi Induces Apoptosis. Journal of Investigative Dermatology. 145(1). 122–134.e11. 4 indexed citations
5.
Tagalakis, Aristides D., et al.. (2024). Low Molecular Weight Alginate Oligosaccharides as Alternatives to PEG for Enhancement of the Diffusion of Cationic Nanoparticles Through Cystic Fibrosis Mucus. Advanced Healthcare Materials. 14(1). e2400510–e2400510. 2 indexed citations
6.
Kim, Young‐Ah, et al.. (2023). Topical gene editing therapeutics using lipid nanoparticles: ‘gene creams’ for genetic skin diseases?. British Journal of Dermatology. 190(5). 617–627. 7 indexed citations
7.
Walker, Amy, Maximillian Woodall, Michelle O’Hara-Wright, et al.. (2023). Molecular and functional correction of a deep intronic splicing mutation in CFTR by CRISPR-Cas9 gene editing. Molecular Therapy — Methods & Clinical Development. 31. 101140–101140. 6 indexed citations
8.
Boyd, A. Christopher, Shuling Guo, Lulu Huang, et al.. (2020). New approaches to genetic therapies for cystic fibrosis. Journal of Cystic Fibrosis. 19. S54–S59. 48 indexed citations
9.
Meng, Jinhong, Aristides D. Tagalakis, & Stephen L. Hart. (2020). Silencing E3 Ubiqutin ligase ITCH as a potential therapy to enhance chemotherapy efficacy in p53 mutant neuroblastoma cells. Scientific Reports. 10(1). 1046–1046. 12 indexed citations
10.
Lee, Ming-Yang, Hong-Zhan Wang, Thomas W. White, et al.. (2019). Allele-Specific Small Interfering RNA Corrects Aberrant Cellular Phenotype in Keratitis-Ichthyosis-Deafness Syndrome Keratinocytes. Journal of Investigative Dermatology. 140(5). 1035–1044.e7. 20 indexed citations
11.
Yu‐Wai‐Man, Cynthia, Nicholas Owen, Jonathan Lees, et al.. (2017). Genome-wide RNA-Sequencing analysis identifies a distinct fibrosis gene signature in the conjunctiva after glaucoma surgery. Scientific Reports. 7(1). 5644–5644. 17 indexed citations
12.
Manunta, Maria, Aristides D. Tagalakis, Martin Attwood, et al.. (2017). Delivery of ENaC siRNA to epithelial cells mediated by a targeted nanocomplex: a therapeutic strategy for cystic fibrosis. Scientific Reports. 7(1). 700–700. 51 indexed citations
13.
Manunta, Maria, Robin J. McAnulty, Jing Jin, et al.. (2013). Airway Deposition of Nebulized Gene Delivery Nanocomplexes Monitored by Radioimaging Agents. American Journal of Respiratory Cell and Molecular Biology. 49(3). 471–480. 13 indexed citations
14.
Kenny, Gavin D., Claudio Villegas-Llerena, Aristides D. Tagalakis, et al.. (2012). Multifunctional receptor-targeted nanocomplexes for magnetic resonance imaging and transfection of tumours. Biomaterials. 33(29). 7241–7250. 23 indexed citations
15.
Harvey, Richard D., et al.. (2010). Lipid chain geometry of C14 glycerol-based lipids: effect on lipoplex structure and transfection. Molecular BioSystems. 7(2). 422–436. 8 indexed citations
16.
Wong, John B., et al.. (2008). Acid cleavable PEG-lipids for applications in a ternary gene delivery vector. Molecular BioSystems. 4(6). 532–541. 22 indexed citations
17.
Chambers, Rachel C., et al.. (1998). Integrin mediated uptake of antisense oligonucleotides to the PAR-1 thrombin receptor inhibits thrombin induced fibroblast proliferation. UCL Discovery (University College London). 1 indexed citations
18.
Lis‐Balchin, Maria, Stanley G. Deans, & Stephen L. Hart. (1997). A Study of the Changes in the Bioactivity of Essential Oils Used Singly and as Mixtures in Aromatherapy. The Journal of Alternative and Complementary Medicine. 3(3). 249–256. 11 indexed citations
19.
Lis‐Balchin, Maria, et al.. (1997). A STUDY OF THE VARIABILITY OF COMMERCIAL PEPPERMINT OILS USING ANTIMICROBIAL AND PHARMACOLOGICAL PARAMETERS. Medical science research. 24(3). 151–152. 8 indexed citations
20.
Collins, Louise, et al.. (1997). A NONVIRAL VECTOR SYSTEM FOR EFFICIENT GENE TRANSFER TO CORNEAL ENDOTHELIAL CELLS VIA MEMBRANE INTEGRINS1. Transplantation. 64(5). 763–769. 50 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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