Kyle A. McElroy
Impact in
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- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
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- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- Genomics and Chromatin Dynamics 6
- Epigenetics and DNA Methylation 5
- RNA and protein synthesis mechanisms 3
- RNA Research and Splicing 2
- Protein Degradation and Inhibitors 1
- Histone Deacetylase Inhibitors Research 1
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- SARS-CoV-2 and COVID-19 Research 1
- Antifungal resistance and susceptibility 1
- Co-authors
- Mitzi I. Kuroda (6 shared papers)Barry M. Zee (5 shared papers)Artyom A. Alekseyenko (3 shared papers)Youngsook L. Jung (3 shared papers)Peter J. Park (3 shared papers)Amy Xiao (1 shared paper)Newsha Ghaeli (1 shared paper)Jianbo Zhang (1 shared paper)
- Journals
- Genes & Development (2 papers)FEMS Yeast Research (1 paper)G3 Genes Genomes Genetics (1 paper)Open Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Kyle A. McElroy
9 papers receiving 202 citations
Peers
Comparison fields: 5 of 39
- Infectious Diseases 54
- Molecular Biology 152
- Modeling and Simulation 8
- Genetics 19
- Biomedical Engineering 29
Countries citing papers authored by Kyle A. McElroy
This map shows the geographic impact of Kyle A. McElroy'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 Kyle A. McElroy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle A. McElroy more than expected).
Fields of papers citing papers by Kyle A. McElroy
This network shows the impact of papers produced by Kyle A. McElroy. 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 Kyle A. McElroy. The network helps show where Kyle A. McElroy may publish in the future.
Co-authors
The 23 scholars most cited alongside Kyle A. McElroy, 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 | 2022 | 58 | |
| 2 | 2015 | 57 | |
| 3 | 2017 | 22 | |
| 4 | 2014 | 20 | |
| 5 | 2015 | 17 | |
| 6 | 2016 | 15 | |
| 7 | 2017 | 11 | |
| 8 | 2012 | 4 | |
| 9 | 2020 | 2 |
About Kyle A. McElroy
Kyle A. McElroy is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health and Plant Science, having authored 9 papers that have together received 206 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Epigenetics and DNA Methylation (5 papers), RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (2 papers), Protein Degradation and Inhibitors (1 paper), Histone Deacetylase Inhibitors Research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Infectious Diseases (54 citations), Molecular Biology (152 citations), Modeling and Simulation (8 citations), Genetics (19 citations) and Biomedical Engineering (29 citations). Kyle A. McElroy has collaborated with scholars based in United States. Frequent co-authors include Mitzi I. Kuroda, Barry M. Zee, Artyom A. Alekseyenko, Youngsook L. Jung, Peter J. Park, Amy Xiao, Newsha Ghaeli, Jianbo Zhang, Mariana Matus and Fuqing Wu. Their work appears in journals such as Genes & Development, FEMS Yeast Research, G3 Genes Genomes Genetics, Open Biology and Proceedings of the National Academy of Sciences.
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.