K. E. McLay
Impact in
- Genetics top 5%
- Genomic variations and chromosomal abnormalities
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
Papers in
-
- Chromosomal and Genetic Variations 6
- Genetics 4
- Genomic variations and chromosomal abnormalities 3
- Genetic Mapping and Diversity in Plants and Animals 1
- Co-authors
- Leah Clissold (1 shared paper)Gavin S. Wilkie (1 shared paper)Richard Newton (1 shared paper)Liz Medcalf (1 shared paper)Andrew J. Davison (1 shared paper)Daniel M. Elton (1 shared paper)Colin A. Russell (1 shared paper)Neil A. Bryant (1 shared paper)
- Journals
- Nature (7 papers)Transboundary and Emerging Diseases (1 paper)Journal of Biotechnology (1 paper)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
K. E. McLay
9 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 111
- Genetics 403
- Molecular Biology 940
- Plant Science 440
- Immunology 233
- Cancer Research 93
Countries citing papers authored by K. E. McLay
This map shows the geographic impact of K. E. McLay'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 K. E. McLay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. E. McLay more than expected).
Fields of papers citing papers by K. E. McLay
This network shows the impact of papers produced by K. E. McLay. 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 K. E. McLay. The network helps show where K. E. McLay may publish in the future.
Co-authors
The 9 scholars most cited alongside K. E. McLay, 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 | 2004 | 531 | |
| 2 | 1999 | 310 | |
| 3 | 2001 | 285 | |
| 4 | 2003 | 239 | |
| 5 | 2006 | 193 | |
| 6 | 2004 | 64 | |
| 7 | 2018 | 46 | |
| 8 | The DNA sequence and biological annotation of human chromosome 1 (vol 441, pg 315, 2006) | 2006 | 18 |
| 9 | 2000 | 13 |
About K. E. McLay
K. E. McLay is a scholar working on Plant Science, Genetics, Molecular Biology, Cancer Research and Epidemiology, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (6 papers), Genomics and Chromatin Dynamics (4 papers), Genomic variations and chromosomal abnormalities (3 papers), Genomics and Phylogenetic Studies (2 papers), RNA and protein synthesis mechanisms (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), RNA Research and Splicing (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Genetics (403 citations), Molecular Biology (940 citations), Plant Science (440 citations), Immunology (233 citations) and Cancer Research (93 citations). K. E. McLay has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Leah Clissold, Gavin S. Wilkie, Richard Newton, Liz Medcalf, Andrew J. Davison, Daniel M. Elton, Colin A. Russell, Neil A. Bryant and Darren V. Grafham. Their work appears in journals such as Nature, Transboundary and Emerging Diseases and Journal of Biotechnology.
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.