Kevin Hayes
- Aging top 1%
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin 4
- Physiology top 5%
- Plant Science top 5%
- Light effects on plants 4
- Plant Molecular Biology Research 4
- Chromosomal and Genetic Variations 3
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- Gene expression and cancer classification 5
- Molecular Biology Techniques and Applications 3
- Bioinformatics and Genomic Networks 3
- Epigenetics and DNA Methylation 2
- Co-authors
- John B. HogeneschSatchidananda PandaMichael E. HughesJulie E. BaggsLuciano DiTacchioChristopher VollmersChristopher A. BradfieldMarina P. Antoch
- Journals
- Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)PLANT PHYSIOLOGY (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Kevin Hayes
22 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Aging 269
- Endocrine and Autonomic Systems 839
- Physiology 430
- Plant Science 456
- Molecular Biology 602
Countries citing papers authored by Kevin Hayes
This map shows the geographic impact of Kevin Hayes'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 Kevin Hayes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Hayes more than expected).
Fields of papers citing papers by Kevin Hayes
This network shows the impact of papers produced by Kevin Hayes. 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 Kevin Hayes. The network helps show where Kevin Hayes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin Hayes, 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 | 2017 | 57 | |
| 2 | 2016 | 21 | |
| 3 | 2015 | 51 | |
| 4 | 2014 | 52 | |
| 5 | 2014 | 9 | |
| 6 | 2012 | 3 | |
| 7 | 2011 | 13 | |
| 8 | 2010 | 59 | |
| 9 | Target lesion revascularization after bare-metal or drug-eluting stents: clinical presentations and outcomes. | 2010 | 4 |
| 10 | 2009 | 6 | |
| 11 | Harmonics of Circadian Gene Transcription in Mammalsbreakdown → | 2009 | 518 |
| 12 | Women and the Employment Insurance Program: The Gender Impact of Current Rules on Eligibility and Earnings Replacement By | 2007 | 0 |
| 13 | 2007 | 57 | |
| 14 | 2007 | 30 | |
| 15 | 2007 | 415 | |
| 16 | 2005 | 14 | |
| 17 | 2005 | 53 | |
| 18 | 2005 | 2 | |
| 19 | 2002 | 29 | |
| 20 | 2001 | 167 |
About Kevin Hayes
Kevin Hayes is a scholar working on Aging, Endocrine and Autonomic Systems and Plant Science, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Circadian rhythm and melatonin (4 papers), Light effects on plants (4 papers), Plant Molecular Biology Research (4 papers), Molecular Biology Techniques and Applications (3 papers), Bioinformatics and Genomic Networks (3 papers), Chromosomal and Genetic Variations (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Aging (269 citations), Endocrine and Autonomic Systems (839 citations) and Physiology (430 citations). Kevin Hayes has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include John B. Hogenesch, Satchidananda Panda, Michael E. Hughes, Julie E. Baggs, Luciano DiTacchio, Christopher Vollmers, Christopher A. Bradfield, Marina P. Antoch, Erin L. McDearmon and Brooke H. Miller. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PLANT PHYSIOLOGY.
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.