David L. Aylor
Impact in
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
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- Effects and risks of endocrine disrupting chemicals
Papers in
- Genetics 13
- Genetic Mapping and Diversity in Plants and Animals 11
- Genetic and phenotypic traits in livestock 4
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- Gene expression and cancer classification 2
- Co-authors
- David W. Threadgill (9 shared papers)Eric W. Price (1 shared paper)Ignazio Carbone (1 shared paper)Darla R. Miller (6 shared papers)Fernando Pardo‐Manuel de Villena (6 shared papers)Gary A. Churchill (6 shared papers)Heather B. Patisaul (3 shared papers)Zhao‐Bang Zeng (3 shared papers)
- Journals
- Genetics (4 papers)G3 Genes Genomes Genetics (4 papers)PLoS Genetics (3 papers)Toxicological Sciences (2 papers)Genes and Immunity (1 paper)
- Partner nations
- United States
In The Last Decade
David L. Aylor
28 papers receiving 909 citations
Peers
Comparison fields: 5 of 96
- Genetics 372
- Health, Toxicology and Mutagenesis 100
- Immunology 94
- Aging 8
- Molecular Biology 304
Countries citing papers authored by David L. Aylor
This map shows the geographic impact of David L. Aylor'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 David L. Aylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Aylor more than expected).
Fields of papers citing papers by David L. Aylor
This network shows the impact of papers produced by David L. Aylor. 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 David L. Aylor. The network helps show where David L. Aylor may publish in the future.
Co-authors
The 25 scholars most cited alongside David L. Aylor, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 104 | |
| 2 | 2015 | 101 | |
| 3 | 2012 | 76 | |
| 4 | 2012 | 68 | |
| 5 | 2013 | 67 | |
| 6 | 2009 | 59 | |
| 7 | 2011 | 53 | |
| 8 | 2015 | 51 | |
| 9 | 2017 | 48 | |
| 10 | 2018 | 39 | |
| 11 | 2014 | 33 | |
| 12 | 2017 | 30 | |
| 13 | 2008 | 26 | |
| 14 | 2014 | 25 | |
| 15 | 2015 | 22 | |
| 16 | 2007 | 21 | |
| 17 | 2013 | 18 | |
| 18 | 2020 | 15 | |
| 19 | 2022 | 12 | |
| 20 | 2018 | 12 |
About David L. Aylor
David L. Aylor is a scholar working on Genetics, Molecular Biology, Immunology, Physiology and Health, Toxicology and Mutagenesis, having authored 28 papers that have together received 920 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (11 papers), Genetic and phenotypic traits in livestock (4 papers), Calpain Protease Function and Regulation (3 papers), Gene expression and cancer classification (2 papers), interferon and immune responses (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Genetics (372 citations), Health, Toxicology and Mutagenesis (100 citations), Immunology (94 citations), Aging (8 citations) and Molecular Biology (304 citations). David L. Aylor has collaborated with scholars based in United States. Frequent co-authors include David W. Threadgill, Eric W. Price, Ignazio Carbone, Darla R. Miller, Fernando Pardo‐Manuel de Villena, Gary A. Churchill, Heather B. Patisaul, Zhao‐Bang Zeng, Elissa J. Chesler and Fernando Pardo-Manuel de Villena. Their work appears in journals such as Genetics, G3 Genes Genomes Genetics, PLoS Genetics, Toxicological Sciences and Genes and Immunity.
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.