Séan Mc Cafferty

1.2k total citations · 1 hit paper
14 papers, 868 citations indexed

About

Séan Mc Cafferty is a scholar working on Molecular Biology, Biotechnology and Immunology. According to data from OpenAlex, Séan Mc Cafferty has authored 14 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Biotechnology and 4 papers in Immunology. Recurrent topics in Séan Mc Cafferty's work include RNA Interference and Gene Delivery (5 papers), Immunotherapy and Immune Responses (4 papers) and Microbial Inactivation Methods (3 papers). Séan Mc Cafferty is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), Immunotherapy and Immune Responses (4 papers) and Microbial Inactivation Methods (3 papers). Séan Mc Cafferty collaborates with scholars based in Belgium, United States and Germany. Séan Mc Cafferty's co-authors include Niek N. Sanders, Tasuku Kitada, Ron Weiss, Oliwia Andries, Stefaan C. De Smedt, Francis Combes, Zifu Zhong, Daisy Vanrompay, Kevin K. Ariën and Bert Devriendt and has published in prestigious journals such as Journal of Controlled Release, Molecular Therapy and Nano Today.

In The Last Decade

Séan Mc Cafferty

14 papers receiving 843 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

N1-methylpseudouridine-incorporated mRNA outperforms pseudouridine-incorporated mRNA by providing enhanced protein expression and reduced immunogenicity in mammalian cell lines and mice

2015 464 citations Oliwia Andries, Séan Mc Cafferty et al. Journal of Controlled Release profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Séan Mc Cafferty Belgium	11	689	238	212	160	70	14	868
Oliwia Andries Belgium	8	725 1.1×	167 0.7×	121 0.6×	192 1.2×	47 0.7×	8	838
Subba Rao Nallagatla United States	10	978 1.4×	385 1.6×	165 0.8×	163 1.0×	43 0.6×	10	1.2k
Steven Tuyishime United States	7	662 1.0×	247 1.0×	262 1.2×	210 1.3×	82 1.2×	8	923
Spyridon Stavrou United States	15	342 0.5×	309 1.3×	202 1.0×	63 0.4×	51 0.7×	22	726
Alex Bulychev United States	4	1.0k 1.5×	332 1.4×	357 1.7×	207 1.3×	125 1.8×	7	1.3k
Qingquan Tang United States	8	527 0.8×	76 0.3×	188 0.9×	176 1.1×	80 1.1×	9	740
Mireille Centlivre Netherlands	16	376 0.5×	205 0.9×	146 0.7×	175 1.1×	22 0.3×	28	694
Matthew Denholtz United States	12	741 1.1×	245 1.0×	176 0.8×	396 2.5×	33 0.5×	15	1.2k
Frank Wegmann Netherlands	13	298 0.4×	269 1.1×	98 0.5×	96 0.6×	20 0.3×	27	722
Mili Gu United States	10	294 0.4×	226 0.9×	129 0.6×	135 0.8×	30 0.4×	16	595

Countries citing papers authored by Séan Mc Cafferty

Since Specialization

Citations

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

Fields of papers citing papers by Séan Mc Cafferty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Séan Mc Cafferty. 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 Séan Mc Cafferty. The network helps show where Séan Mc Cafferty may publish in the future.

Co-authorship network of co-authors of Séan Mc Cafferty

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

All Works

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14 of 14 papers shown

Cafferty, Séan Mc, A.K.M. Ashiqul Haque, Nathalie R. Le François, et al.. (2022). A dual-antigen self-amplifying RNA SARS-CoV-2 vaccine induces potent humoral and cellular immune responses and protects against SARS-CoV-2 variants through T cell-mediated immunity. Molecular Therapy. 30(9). 2968–2983. 40 indexed citations

Zhong, Zifu, Séan Mc Cafferty, Stefan Lienenklaus, et al.. (2021). Corticosteroids and cellulose purification improve, respectively, the in vivo translation and vaccination efficacy of sa-mRNAs. Molecular Therapy. 29(4). 1370–1381. 26 indexed citations

Cafferty, Séan Mc, Tasuku Kitada, Ron Weiss, et al.. (2020). In Vivo Validation of a Reversible Small Molecule-Based Switch for Synthetic Self-Amplifying mRNA Regulation. Molecular Therapy. 29(3). 1164–1173. 19 indexed citations

Zhong, Zifu, João Paulo Portela Catani, Séan Mc Cafferty, et al.. (2019). Immunogenicity and Protection Efficacy of a Naked Self-Replicating mRNA-Based Zika Virus Vaccine. Vaccines. 7(3). 96–96. 55 indexed citations

Combes, Francis, Alexandros Marios Sofias, Séan Mc Cafferty, et al.. (2019). Mononuclear but Not Polymorphonuclear Phagocyte Depletion Increases Circulation Times and Improves Mammary Tumor-Homing Efficiency of Donor Bone Marrow-Derived Monocytes. Cancers. 11(11). 1752–1752. 8 indexed citations

Zhong, Zifu, Barbara L. Mui, Ying K. Tam, et al.. (2019). Expression Kinetics and Innate Immune Response after Electroporation and LNP-Mediated Delivery of a Self-Amplifying mRNA in the Skin. Molecular Therapy — Nucleic Acids. 17. 867–878. 58 indexed citations

Lin, Xiaoyuan, Séan Mc Cafferty, Yannick Gansemans, et al.. (2019). Bovine Embryo-Secreted microRNA-30c Is a Potential Non-invasive Biomarker for Hampered Preimplantation Developmental Competence. Frontiers in Genetics. 10. 315–315. 40 indexed citations

Zhong, Zifu, et al.. (2019). Improving the Repeatability and Efficacy of Intradermal Electroporated Self-Replicating mRNA. Molecular Therapy — Nucleic Acids. 17. 388–395. 13 indexed citations

Combes, Francis, Séan Mc Cafferty, Evelyne Meyer, & Niek N. Sanders. (2018). Off-Target and Tumor-Specific Accumulation of Monocytes, Macrophages and Myeloid-Derived Suppressor Cells after Systemic Injection. Neoplasia. 20(8). 848–856. 17 indexed citations

10.

Zhong, Zifu, et al.. (2018). mRNA therapeutics deliver a hopeful message. Nano Today. 23. 16–39. 97 indexed citations

11.

Leyman, Bregje, Séan Mc Cafferty, Francis Combes, et al.. (2018). Comparison of the Expression Kinetics and Immunostimulatory Activity of Replicating mRNA, Nonreplicating mRNA, and pDNA after Intradermal Electroporation in Pigs. Molecular Pharmaceutics. 15(2). 377–384. 22 indexed citations

12.

Denies, Sofie, Bregje Leyman, Francis Combes, et al.. (2017). Evaluation of a xenogeneic vascular endothelial growth factor-2 vaccine in two preclinical metastatic tumor models in mice. Cancer Immunology Immunotherapy. 66(12). 1545–1555. 3 indexed citations

13.

Denies, Sofie, et al.. (2016). In vitro exploration of a myeloid-derived suppressor cell line as vehicle for cancer gene therapy. Cancer Gene Therapy. 24(4). 149–155. 6 indexed citations

14.

Andries, Oliwia, Séan Mc Cafferty, Stefaan C. De Smedt, et al.. (2015). N1-methylpseudouridine-incorporated mRNA outperforms pseudouridine-incorporated mRNA by providing enhanced protein expression and reduced immunogenicity in mammalian cell lines and mice. Journal of Controlled Release. 217. 337–344. 464 indexed citations breakdown →

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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