Michael G.B. Hayes
- Molecular Biology
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health
- Plant Science
- Infectious Diseases
- Co-authors
- Sven HeinzChristopher BennerLorane TexariRandy A. AlbrechtIvan MarazziKris M. WhiteMegan L. ShawAlexander Rialdi
- Topics
- RNA and protein synthesis mechanisms (4 papers)Genomics and Chromatin Dynamics (3 papers)Opioid Use Disorder Treatment (3 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Michael G.B. Hayes
14 papers receiving 717 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 374
- Epidemiology 251
- Public Health, Environmental and Occupational Health 128
- Plant Science 87
- Infectious Diseases 67
Countries citing papers authored by Michael G.B. Hayes
This map shows the geographic impact of Michael G.B. 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 Michael G.B. Hayes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G.B. Hayes more than expected).
Fields of papers citing papers by Michael G.B. Hayes
This network shows the impact of papers produced by Michael G.B. 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 Michael G.B. Hayes. The network helps show where Michael G.B. Hayes may publish in the future.
Co-authorship network of co-authors of Michael G.B. Hayes
This figure shows the co-authorship network connecting the top 25 collaborators of Michael G.B. Hayes. A scholar is included among the top collaborators of Michael G.B. 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 Michael G.B. Hayes. Michael G.B. 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 | Short tandem repeats bind transcription factors to tune eukaryotic gene expressionbreakdown → | 98 |
| 2 | 13 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 42 | |
| 6 | 24 | |
| 7 | 281 | |
| 8 | 79 | |
| 9 | 2 | |
| 10 | Observing the behavioral response of human hair to a specific external stimulus using dynamic gas discharge visualization. | 0 |
| 11 | 47 | |
| 12 | 5 | |
| 13 | 48 | |
| 14 | 7 | |
| 15 | 57 | |
| 16 | 28 |
About Michael G.B. Hayes
Michael G.B. Hayes is a scholar working on Religious studies, Anesthesiology and Pain Medicine and Epidemiology, having authored 16 papers that have together received 737 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (3 papers) and Opioid Use Disorder Treatment (3 papers). The work is most often cited by research in Epidemiology (251 citations), Molecular Biology (374 citations) and Public Health, Environmental and Occupational Health (128 citations). Michael G.B. Hayes has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Sven Heinz, Christopher Benner, Lorane Texari, Randy A. Albrecht, Ivan Marazzi, Kris M. White, Megan L. Shaw, Alexander Rialdi, Lars Pache and Adolfo Garcı́a-Sastre. Their work appears in journals such as Science, Cell 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.