Casey McGrath
Impact in
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
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- Protist diversity and phylogeny
- Genomics and Phylogenetic Studies
Papers in
-
- Genomics and Phylogenetic Studies 9
- Protist diversity and phylogeny 8
- Ecology 9
- Microbial Community Ecology and Physiology 7
- Co-authors
- Matthew W. Hahn (2 shared papers)Claudio Casola (2 shared papers)Laura A. Katz (3 shared papers)Thomas G. Doak (3 shared papers)Michael Lynch (3 shared papers)Jean-François Goût (2 shared papers)Mira Han (1 shared paper)Jeffery P. Demuth (1 shared paper)
- Journals
- Genome Biology and Evolution (17 papers)Molecular Biology and Evolution (3 papers)Genetics (2 papers)Genome Research (2 papers)BMC Psychiatry (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Casey McGrath
26 papers receiving 650 citations
Peers
Comparison fields: 5 of 89
- Endocrine and Autonomic Systems 57
- Molecular Biology 406
- Ecology 141
- Genetics 135
- Plant Science 155
Countries citing papers authored by Casey McGrath
This map shows the geographic impact of Casey McGrath'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 Casey McGrath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey McGrath more than expected).
Fields of papers citing papers by Casey McGrath
This network shows the impact of papers produced by Casey McGrath. 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 Casey McGrath. The network helps show where Casey McGrath may publish in the future.
Co-authors
The 25 scholars most cited alongside Casey McGrath, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 143 | |
| 2 | 2014 | 97 | |
| 3 | 2009 | 85 | |
| 4 | 2014 | 63 | |
| 5 | 2006 | 63 | |
| 6 | 2007 | 42 | |
| 7 | 2003 | 41 | |
| 8 | 2009 | 37 | |
| 9 | 2020 | 29 | |
| 10 | 2015 | 17 | |
| 11 | 2007 | 13 | |
| 12 | 2013 | 13 | |
| 13 | 2020 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2023 | 1 |
About Casey McGrath
Casey McGrath is a scholar working on Molecular Biology, Ecology, Genetics, Ecology, Evolution, Behavior and Systematics and Plant Science, having authored 30 papers that have together received 664 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Protist diversity and phylogeny (8 papers), Microbial Community Ecology and Physiology (7 papers), Chromosomal and Genetic Variations (3 papers), Demographic Trends and Gender Preferences (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Genomics and Rare Diseases (2 papers) and Biocrusts and Microbial Ecology (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (57 citations), Molecular Biology (406 citations), Ecology (141 citations), Genetics (135 citations) and Plant Science (155 citations). Casey McGrath has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Matthew W. Hahn, Claudio Casola, Laura A. Katz, Thomas G. Doak, Michael Lynch, Jean-François Goût, Mira Han, Jeffery P. Demuth, Rebecca A. Zufall and Parul Johri. Their work appears in journals such as Genome Biology and Evolution, Molecular Biology and Evolution, Genetics, Genome Research and BMC Psychiatry.
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.