Kevin Kauffman
- Molecular Biology top 2%
- RNA Interference and Gene Delivery 20
- Advanced biosensing and bioanalysis techniques 13
- CRISPR and Genetic Engineering 3
- Biomaterials top 5%
- Genetics top 2%
- Virus-based gene therapy research 5
- Immunology top 5%
- Immune cells in cancer 4
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology 2
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- MicroRNA in disease regulation 5
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- Advanced Drug Delivery Systems 3
- Co-authors
- Daniel G. AndersonFrank DeRosaMichael W. HeartleinOwen S. FentonFaryal F. MirMatthew J. WebberHao YinJames C. Kaczmarek
- Journals
- Advanced Materials (4 papers)Molecular Therapy — Nucleic Acids (3 papers)Angewandte Chemie International Edition (2 papers)
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Kevin Kauffman
28 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 3.1k
- Biomaterials 374
- Genetics 775
- Immunology 579
- Infectious Diseases 404
Countries citing papers authored by Kevin Kauffman
This map shows the geographic impact of Kevin Kauffman'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 Kevin Kauffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Kauffman more than expected).
Fields of papers citing papers by Kevin Kauffman
This network shows the impact of papers produced by Kevin Kauffman. 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 Kevin Kauffman. The network helps show where Kevin Kauffman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin Kauffman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2023 | 8 | |
| 3 | 2021 | 1 | |
| 4 | 2019 | 14 | |
| 5 | 2019 | 8 | |
| 6 | 2018 | 16 | |
| 7 | 2017 | 78 | |
| 8 | 2017 | 29 | |
| 9 | 2017 | 243 | |
| 10 | 2017 | 250 | |
| 11 | Therapeutic efficacy in a hemophilia B model using a biosynthetic mRNA liver depot system | 2016 | 1 |
| 12 | 2016 | 199 | |
| 13 | 2016 | 138 | |
| 14 | 2016 | 150 | |
| 15 | 2016 | 50 | |
| 16 | 2015 | 318 | |
| 17 | Optimization of Lipid Nanoparticle Formulations for mRNA Delivery in Vivo with Fractional Factorial and Definitive Screening Designsbreakdown → | 2015 | 611 |
| 18 | 2014 | 34 | |
| 19 | 2011 | 56 | |
| 20 | 2011 | 59 |
About Kevin Kauffman
Kevin Kauffman is a scholar working on Pharmaceutical Science, Cancer Research and Molecular Biology, having authored 28 papers that have together received 3.7k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (20 papers), Advanced biosensing and bioanalysis techniques (13 papers), Virus-based gene therapy research (5 papers), MicroRNA in disease regulation (5 papers), Immune cells in cancer (4 papers), CRISPR and Genetic Engineering (3 papers), Advanced Drug Delivery Systems (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Molecular Biology (3.1k citations), Biomaterials (374 citations) and Genetics (775 citations). Kevin Kauffman has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Daniel G. Anderson, Frank DeRosa, Michael W. Heartlein, Owen S. Fenton, Faryal F. Mir, Matthew J. Webber, Hao Yin, James C. Kaczmarek, J. Robert Dorkin and Jung Hoon Yang. Their work appears in journals such as Advanced Materials, Molecular Therapy — Nucleic Acids, Angewandte Chemie International Edition, Nano Letters and Molecular Pharmaceutics.
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.