Kevin Hayes
- Endocrine and Autonomic Systems top 0.5%
- Molecular Biology
- Plant Science top 5%
- Physiology top 5%
- Aging top 1%
- Co-authors
- John B. HogeneschSatchidananda PandaMichael E. HughesJulie E. BaggsLuciano DiTacchioChristopher VollmersChristopher A. BradfieldMarina P. Antoch
- Topics
- Gene expression and cancer classification (5 papers)Circadian rhythm and melatonin (4 papers)Light effects on plants (4 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Kevin Hayes
22 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Endocrine and Autonomic Systems 839
- Molecular Biology 602
- Plant Science 456
- Physiology 430
- Aging 269
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 of co-authors of Kevin Hayes
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Hayes. A scholar is included among the top collaborators of Kevin Hayes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Hayes. Kevin Hayes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | 21 | |
| 3 | 51 | |
| 4 | 52 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 13 | |
| 8 | 59 | |
| 9 | Target lesion revascularization after bare-metal or drug-eluting stents: clinical presentations and outcomes. | 4 |
| 10 | 6 | |
| 11 | Harmonics of Circadian Gene Transcription in Mammalsbreakdown → | 518 |
| 12 | Women and the Employment Insurance Program: The Gender Impact of Current Rules on Eligibility and Earnings Replacement By | 0 |
| 13 | 57 | |
| 14 | 30 | |
| 15 | 415 | |
| 16 | 14 | |
| 17 | 53 | |
| 18 | 2 | |
| 19 | 29 | |
| 20 | 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) and Light effects on plants (4 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.