Kevin McKernan
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 3
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 5
- Mitochondrial Function and Pathology 3
- Epigenetics and DNA Methylation 3
- Genomics and Phylogenetic Studies 3
- CRISPR and Genetic Engineering 3
- Genomics and Chromatin Dynamics 3
- Genetics top 10%
- Plant Science top 10%
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- Cannabis and Cannabinoid Research 3
- Co-authors
- Swati RanadeHeather E. PeckhamClarence LeeShivangi WaniDarrin F. TaylorGabriel KolleSean M. GrimmondBrooke Gardiner
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Kevin McKernan
24 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Cancer Research 574
- Molecular Biology 1.5k
- Genetics 291
- Aging 18
- Plant Science 277
Countries citing papers authored by Kevin McKernan
This map shows the geographic impact of Kevin McKernan'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 McKernan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin McKernan more than expected).
Fields of papers citing papers by Kevin McKernan
This network shows the impact of papers produced by Kevin McKernan. 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 McKernan. The network helps show where Kevin McKernan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin McKernan, 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 | 2023 | 3 | |
| 2 | 2021 | 0 | |
| 3 | 2021 | 1 | |
| 4 | 2019 | 51 | |
| 5 | 2018 | 5 | |
| 6 | Microbiological examination of nonsterile Cannabis products: Molecular Microbial Enumeration Tests and the limitation of Colony Forming Units. | 2018 | 2 |
| 7 | 2017 | 55 | |
| 8 | 2015 | 12 | |
| 9 | 2015 | 1 | |
| 10 | 2014 | 8 | |
| 11 | 2014 | 61 | |
| 12 | 2013 | 4 | |
| 13 | 2011 | 21 | |
| 14 | 2010 | 41 | |
| 15 | 2009 | 57 | |
| 16 | 2009 | 114 | |
| 17 | Polymorphism discovery in high-throughput resequenced microarray-enriched human genomic loci. | 2009 | 2 |
| 18 | 2008 | 413 | |
| 19 | Stem cell transcriptome profiling via massive-scale mRNA sequencingbreakdown → | 2008 | 756 |
| 20 | 2003 | 1 |
About Kevin McKernan
Kevin McKernan is a scholar working on Toxicology, Cancer Research and Molecular Biology, having authored 25 papers that have together received 2.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Mitochondrial Function and Pathology (3 papers), Epigenetics and DNA Methylation (3 papers), Cannabis and Cannabinoid Research (3 papers), Genomics and Phylogenetic Studies (3 papers), CRISPR and Genetic Engineering (3 papers), Cancer Genomics and Diagnostics (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Cancer Research (574 citations), Molecular Biology (1.5k citations) and Genetics (291 citations). Kevin McKernan has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Swati Ranade, Heather E. Peckham, Clarence Lee, Shivangi Wani, Darrin F. Taylor, Gabriel Kolle, Sean M. Grimmond, Brooke Gardiner, Nicole Cloonan and Anita L Steptoe. Their work appears in journals such as Science, Nature Biotechnology and PLoS ONE.
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.