Kenneth McCue
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- Molecular Biology top 0.5%
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Molecular Biology Techniques and Applications
- Plant Gene Expression Analysis
Papers in
- Co-authors
- B WoldBrian A. WilliamsLorian SchaefferA MortazaviR. Mark IsaacCharles R. PlottArmistead G. RussellGlen R. Cass
- Journals
- Environmental Science & Technology (3 papers)Nature Methods (1 paper)The American Statistician (1 paper)BMC Bioinformatics (1 paper)Genome Research (1 paper)
- Partner nations
- United States
In The Last Decade
Kenneth McCue
10 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Cancer Research 1.5k
- Molecular Biology 6.9k
- Plant Science 2.8k
- Horticulture 46
- Genetics 1.3k
Countries citing papers authored by Kenneth McCue
This map shows the geographic impact of Kenneth McCue'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 Kenneth McCue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth McCue more than expected).
Fields of papers citing papers by Kenneth McCue
This network shows the impact of papers produced by Kenneth McCue. 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 Kenneth McCue. The network helps show where Kenneth McCue may publish in the future.
Co-authors
The 19 scholars most cited alongside Kenneth McCue, 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 | 2014 | 3 | |
| 2 | 2011 | 40 | |
| 3 | Mapping and quantifying mammalian transcriptomes by RNA-Seq Hit paper breakdown → | 2008 | 10560 |
| 4 | 2001 | 11 | |
| 5 | Individual choice and ecological analysis | 1995 | 2 |
| 6 | 1993 | 49 | |
| 7 | 1990 | 6 | |
| 8 | 1988 | 79 | |
| 9 | 1988 | 29 | |
| 10 | 1985 | 363 |
About Kenneth McCue
Kenneth McCue is a scholar working on Process Chemistry and Technology, Ecological Modeling, Atmospheric Science, Safety Research and Economics and Econometrics, having authored 10 papers that have together received 11.1k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (3 papers), RNA Research and Splicing (2 papers), Gene expression and cancer classification (2 papers), Electoral Systems and Political Participation (1 paper), Fiscal Policy and Economic Growth (1 paper), Atmospheric aerosols and clouds (1 paper), Atmospheric and Environmental Gas Dynamics (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (6.9k citations), Plant Science (2.8k citations), Horticulture (46 citations) and Genetics (1.3k citations). Kenneth McCue has collaborated with scholars based in United States. Frequent co-authors include B Wold, Brian A. Williams, Lorian Schaeffer, A Mortazavi, R. Mark Isaac, Charles R. Plott, Armistead G. Russell, Glen R. Cass, Darrell A. Winner and Robert A. Harley. Their work appears in journals such as Environmental Science & Technology, Nature Methods, The American Statistician, BMC Bioinformatics and Genome Research.
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.