Kevin McKernan

39.4k total citations · 1 hit paper
25 papers, 2.1k citations indexed

About

Kevin McKernan is a scholar working on Molecular Biology, Pharmacology and Cancer Research. According to data from OpenAlex, Kevin McKernan has authored 25 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Pharmacology and 4 papers in Cancer Research. Recurrent topics in Kevin McKernan's work include RNA and protein synthesis mechanisms (5 papers), Mitochondrial Function and Pathology (3 papers) and Epigenetics and DNA Methylation (3 papers). Kevin McKernan is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Mitochondrial Function and Pathology (3 papers) and Epigenetics and DNA Methylation (3 papers). Kevin McKernan collaborates with scholars based in United States, Australia and Canada. Kevin McKernan's 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 and has published in prestigious journals such as Science, Nature Biotechnology and PLoS ONE.

In The Last Decade

Kevin McKernan

24 papers receiving 2.0k citations

Hit Papers

Stem cell transcriptome profiling via massive-scale mRNA ... 2008 2026 2014 2020 2008 250 500 750

Peers

Kevin McKernan
Comparison fields: 5 of 115
  • Molecular Biology 1.5k
  • Cancer Research 574
  • Genetics 291
  • Plant Science 277
  • Oncology 173
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Citations per field, relative to Kevin McKernan
Kevin McKernan · 1×
Citations per year, relative to Kevin McKernan
Kevin McKernan · 1×

Countries citing papers authored by Kevin McKernan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Kevin McKernan

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 0
3 1
4 51
5 5
6
Microbiological examination of nonsterile Cannabis products: Molecular Microbial Enumeration Tests and the limitation of Colony Forming Units.
2
7 55
8 12
9 1
10 8
11 61
12 4
13 21
14 41
15 57
16 114
17
Polymorphism discovery in high-throughput resequenced microarray-enriched human genomic loci.
2
18 413
19
Stem cell transcriptome profiling via massive-scale mRNA sequencing breakdown →
756
20 1

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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