Sheldon McKay
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Ecological Modeling top 5%
- Species Distribution and Climate Change
Papers in
-
- Genomics and Phylogenetic Studies 7
- Genetics, Bioinformatics, and Biomedical Research 2
- Genetics 9
- Evolution and Genetic Dynamics 3
- Co-authors
- Steven J.M. Jones (6 shared papers)Michael J. Smith (3 shared papers)Robert H. Devlin (3 shared papers)Marco A. Marra (6 shared papers)Jaswinder Khattra (5 shared papers)Robert A. Holt (5 shared papers)Naim Matasci (3 shared papers)Donald G. Moerman (3 shared papers)
- Journals
- Current Protocols in Bioinformatics (5 papers)Comparative Biochemistry and Physiology Part D Genomics and Proteomics (2 papers)BMC Bioinformatics (2 papers)PLoS Genetics (2 papers)Genome Research (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Sheldon McKay
30 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 112
- Aging 440
- Ecological Modeling 113
- Nature and Landscape Conservation 302
- Endocrine and Autonomic Systems 113
- Genetics 441
Countries citing papers authored by Sheldon McKay
This map shows the geographic impact of Sheldon McKay'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 Sheldon McKay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheldon McKay more than expected).
Fields of papers citing papers by Sheldon McKay
This network shows the impact of papers produced by Sheldon McKay. 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 Sheldon McKay. The network helps show where Sheldon McKay may publish in the future.
Co-authors
The 25 scholars most cited alongside Sheldon McKay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 336 | |
| 2 | 2005 | 215 | |
| 3 | 2005 | 168 | |
| 4 | 2006 | 140 | |
| 5 | 1996 | 120 | |
| 6 | 2009 | 85 | |
| 7 | 2009 | 57 | |
| 8 | 2010 | 51 | |
| 9 | 2014 | 51 | |
| 10 | 2008 | 43 | |
| 11 | 2004 | 34 | |
| 12 | 2010 | 30 | |
| 13 | 2011 | 30 | |
| 14 | 2004 | 30 | |
| 15 | 2002 | 28 | |
| 16 | 2007 | 27 | |
| 17 | 2013 | 26 | |
| 18 | 2004 | 21 | |
| 19 | 1996 | 18 | |
| 20 | 2002 | 15 |
About Sheldon McKay
Sheldon McKay is a scholar working on Molecular Biology, Genetics, Aging, Nature and Landscape Conservation and Plant Science, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (9 papers), Genomics and Phylogenetic Studies (7 papers), Fish Ecology and Management Studies (4 papers), Evolution and Genetic Dynamics (3 papers), Aquaculture Nutrition and Growth (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Scientific Computing and Data Management (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Aging (440 citations), Ecological Modeling (113 citations), Nature and Landscape Conservation (302 citations), Endocrine and Autonomic Systems (113 citations) and Genetics (441 citations). Sheldon McKay has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Steven J.M. Jones, Michael J. Smith, Robert H. Devlin, Marco A. Marra, Jaswinder Khattra, Robert A. Holt, Naim Matasci, Donald G. Moerman, David L. Baillie and Brian J. Enquist. Their work appears in journals such as Current Protocols in Bioinformatics, Comparative Biochemistry and Physiology Part D Genomics and Proteomics, BMC Bioinformatics, PLoS Genetics 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.