Kevin T. Love
- Molecular Biology top 2%
- RNA Interference and Gene Delivery 14
- Advanced biosensing and bioanalysis techniques 11
- CRISPR and Genetic Engineering 2
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery 1
- Cancer Research top 5%
- MicroRNA in disease regulation 2
- Biomedical Engineering top 5%
- Nanopore and Nanochannel Transport Studies 4
- Immunology top 10%
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- Virus-based gene therapy research 3
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- Barrier Structure and Function Studies 1
- Co-authors
- Daniel G. AndersonRóbert LangerWilliam QuerbesYi ChenKathryn A. WhiteheadAhmed A. EltoukhyGaurav SahayChristopher Zurenko
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Journal of the American Chemical Society (1 paper)Nano Letters (2 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Kevin T. Love
17 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 3.0k
- Biomaterials 527
- Cancer Research 399
- Biomedical Engineering 636
- Immunology 305
Countries citing papers authored by Kevin T. Love
This map shows the geographic impact of Kevin T. Love'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 T. Love with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin T. Love more than expected).
Fields of papers citing papers by Kevin T. Love
This network shows the impact of papers produced by Kevin T. Love. 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 T. Love. The network helps show where Kevin T. Love may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin T. Love, 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 | 2016 | 138 | |
| 2 | 2014 | 22 | |
| 3 | 2013 | 24 | |
| 4 | 2013 | 148 | |
| 5 | 2013 | 169 | |
| 6 | 2013 | 186 | |
| 7 | YY1 regulates melanocyte development and function by cooperating with MITF | 2012 | 37 |
| 8 | Molecularly self-assembled nucleic acid nanoparticles for targeted in vivo siRNA deliverybreakdown → | 2012 | 1005 |
| 9 | 2012 | 83 | |
| 10 | 2012 | 333 | |
| 11 | 2012 | 56 | |
| 12 | 2011 | 54 | |
| 13 | 2011 | 46 | |
| 14 | Lipid-like materials for low-dose, in vivo gene silencingbreakdown → | 2010 | 792 |
| 15 | 2010 | 64 | |
| 16 | 2009 | 243 | |
| 17 | 2009 | 111 |
About Kevin T. Love
Kevin T. Love is a scholar working on Cell Biology, Molecular Biology and Cancer Research, having authored 17 papers that have together received 3.5k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (14 papers), Advanced biosensing and bioanalysis techniques (11 papers), Nanopore and Nanochannel Transport Studies (4 papers), Virus-based gene therapy research (3 papers), CRISPR and Genetic Engineering (2 papers), MicroRNA in disease regulation (2 papers), Barrier Structure and Function Studies (1 paper) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Molecular Biology (3.0k citations), Biomaterials (527 citations) and Cancer Research (399 citations). Kevin T. Love has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Daniel G. Anderson, Róbert Langer, William Querbes, Yi Chen, Kathryn A. Whitehead, Ahmed A. Eltoukhy, Gaurav Sahay, Christopher Zurenko, Emmanouil D. Karagiannis and Chang G. Peng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nano Letters.
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.