Jay Hayes
Impact in
- Microbiology top 0.5%
- Bacterial Infections and Vaccines
- Otorhinolaryngology top 1%
- Ear Surgery and Otitis Media
- Sinusitis and nasal conditions
Papers in
-
- Bacterial Infections and Vaccines 7
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- Pneumonia and Respiratory Infections 6
- Co-authors
- Garth D. Ehrlich (12 shared papers)J. Christopher Post (11 shared papers)Fen Hu (11 shared papers)Bethany Dice (3 shared papers)Michael L. Forbes (3 shared papers)Paul Stoodley (2 shared papers)David P. Greenberg (2 shared papers)Laura Nistico (2 shared papers)
- Journals
- Infection and Immunity (2 papers)International Journal of Pediatric Otorhinolaryngology (2 papers)JAMA (1 paper)Annals of Otology Rhinology & Laryngology (1 paper)BMC Genomics (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Jay Hayes
13 papers receiving 1.3k citations
Jay Hayes's Hit Papers
Peers
Comparison fields: 5 of 94
- Microbiology 495
- Otorhinolaryngology 327
- Periodontics 102
- Endocrinology 108
- Epidemiology 523
Countries citing papers authored by Jay Hayes
This map shows the geographic impact of Jay 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 Jay Hayes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Hayes more than expected).
Fields of papers citing papers by Jay Hayes
This network shows the impact of papers produced by Jay 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 Jay Hayes. The network helps show where Jay Hayes may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay 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 | Direct Detection of Bacterial Biofilms on the Middle-Ear Mucosa of Children With Chronic Otitis Media Hit paper breakdown → | 2006 | 676 |
| 2 | 2007 | 218 | |
| 3 | 2007 | 175 | |
| 4 | 2005 | 80 | |
| 5 | 2005 | 50 | |
| 6 | 2011 | 42 | |
| 7 | 2005 | 42 | |
| 8 | 2008 | 34 | |
| 9 | 2007 | 19 | |
| 10 | 2003 | 12 | |
| 11 | 1971 | 7 | |
| 12 | 2006 | 5 | |
| 13 | 2010 | 2 |
About Jay Hayes
Jay Hayes is a scholar working on Microbiology, Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health and Otorhinolaryngology, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (7 papers), Pneumonia and Respiratory Infections (6 papers), RNA and protein synthesis mechanisms (3 papers), Streptococcal Infections and Treatments (3 papers), Genomics and Phylogenetic Studies (2 papers), Ear Surgery and Otitis Media (2 papers), Sinusitis and nasal conditions (2 papers) and Antibiotic Resistance in Bacteria (1 paper). The work is most often cited by research in Microbiology (495 citations), Otorhinolaryngology (327 citations), Periodontics (102 citations), Endocrinology (108 citations) and Epidemiology (523 citations). Jay Hayes has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Garth D. Ehrlich, J. Christopher Post, Fen Hu, Bethany Dice, Michael L. Forbes, Paul Stoodley, David P. Greenberg, Laura Nistico, Luanne Hall‐Stoodley and Amy Burrows. Their work appears in journals such as Infection and Immunity, International Journal of Pediatric Otorhinolaryngology, JAMA, Annals of Otology Rhinology & Laryngology and BMC Genomics.
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.