Kerry E. Benenato

2.4k total citations · 2 hit papers
8 papers, 1.6k citations indexed

About

Kerry E. Benenato is a scholar working on Molecular Biology, Immunology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Kerry E. Benenato has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Immunology and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Kerry E. Benenato's work include RNA Interference and Gene Delivery (4 papers), Immunotherapy and Immune Responses (3 papers) and Lipid Membrane Structure and Behavior (2 papers). Kerry E. Benenato is often cited by papers focused on RNA Interference and Gene Delivery (4 papers), Immunotherapy and Immune Responses (3 papers) and Lipid Membrane Structure and Behavior (2 papers). Kerry E. Benenato collaborates with scholars based in United States and Spain. Kerry E. Benenato's co-authors include Cosmin Mihai, Joseph J. Senn, Iain J. McFadyen, Tatiana Ketova, Örn Almarsson, Staci Sabnis, Timothy Salerno, Matthew G. Stanton, Alex Bulychev and Joyce Chan and has published in prestigious journals such as Nature Communications, Advanced Functional Materials and Cancer Research.

In The Last Decade

Kerry E. Benenato

8 papers receiving 1.6k citations

Hit Papers

A Novel Amino Lipid Series for mRNA Delivery: Improved En... 2018 2026 2020 2023 2018 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kerry E. Benenato United States 6 1.3k 360 334 222 150 8 1.6k
Faryal F. Mir United States 8 1.4k 1.0× 209 0.6× 276 0.8× 304 1.4× 91 0.6× 8 1.6k
Arnab Rudra United States 10 953 0.7× 189 0.5× 207 0.6× 191 0.9× 62 0.4× 15 1.2k
Staci Sabnis United States 5 826 0.6× 152 0.4× 183 0.5× 158 0.7× 76 0.5× 6 964
Allen Yujie Jiang United States 8 856 0.6× 166 0.5× 259 0.8× 121 0.5× 38 0.3× 9 1.1k
Zhongfeng Ye United States 13 1.1k 0.8× 134 0.4× 376 1.1× 186 0.8× 43 0.3× 18 1.4k
Antony Jozić United States 13 939 0.7× 141 0.4× 138 0.4× 142 0.6× 52 0.3× 21 1.1k
Jerry Leung Canada 13 837 0.6× 104 0.3× 153 0.5× 115 0.5× 48 0.3× 23 1.1k
Timothy Salerno United States 3 705 0.5× 123 0.3× 153 0.5× 133 0.6× 61 0.4× 4 822
Jared Beyersdorf United States 9 655 0.5× 161 0.4× 133 0.4× 108 0.5× 35 0.2× 12 836
Nuphar Veiga Israel 9 851 0.6× 78 0.2× 163 0.5× 202 0.9× 37 0.2× 10 1.0k

Countries citing papers authored by Kerry E. Benenato

Since Specialization
Citations

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

Fields of papers citing papers by Kerry E. Benenato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kerry E. Benenato

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

All Works

8 of 8 papers shown
1.
Cornebise, Mark, Elisabeth Narayanan, Yan Xia, et al.. (2021). Discovery of a Novel Amino Lipid That Improves Lipid Nanoparticle Performance through Specific Interactions with mRNA. Advanced Functional Materials. 32(8). 96 indexed citations
2.
Jiang, Lei, Ling Yin, Eric Jacquinet, et al.. (2020). Dual mRNA therapy restores metabolic function in long-term studies in mice with propionic acidemia. Nature Communications. 11(1). 5339–5339. 91 indexed citations
3.
Zhu, Xuling, Ling Yin, Summar Siddiqui, et al.. (2019). Systemic mRNA Therapy for the Treatment of Fabry Disease: Preclinical Studies in Wild-Type Mice, Fabry Mouse Model, and Wild-Type Non-human Primates. The American Journal of Human Genetics. 104(4). 625–637. 122 indexed citations
4.
Hassett, Kimberly J., Kerry E. Benenato, Eric Jacquinet, et al.. (2019). Optimization of Lipid Nanoparticles for Intramuscular Administration of mRNA Vaccines. Molecular Therapy — Nucleic Acids. 15. 1–11. 601 indexed citations breakdown →
5.
Besin, Gilles, Jaclyn Milton, Staci Sabnis, et al.. (2019). Accelerated Blood Clearance of Lipid Nanoparticles Entails a Biphasic Humoral Response of B-1 Followed by B-2 Lymphocytes to Distinct Antigenic Moieties. ImmunoHorizons. 3(7). 282–293. 80 indexed citations
6.
Sabnis, Staci, E. Sathyajith Kumarasinghe, Timothy Salerno, et al.. (2018). A Novel Amino Lipid Series for mRNA Delivery: Improved Endosomal Escape and Sustained Pharmacology and Safety in Non-human Primates. Molecular Therapy. 26(6). 1509–1519. 603 indexed citations breakdown →
7.
Jiang, Lei, Pedro Berraondo, Lin T. Guey, et al.. (2018). Efficacy of systemic messenger RNA therapy to treat and prevent porphyria attacks in animal models of acute intermittent porphyria. Molecular Genetics and Metabolism. 123(2). S70–S71. 1 indexed citations
8.
Bai, Ailin, Susannah L. Hewitt, John Zielinski, et al.. (2017). Abstract 1607: Durable efficacy and anti-cancer immunity following intratumoral administration of messenger RNAs encoding IL-36γ, IL-23 and OX40L. Cancer Research. 77(13_Supplement). 1607–1607. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026