John Mayer
Impact in
- Health Information Management top 10%
Papers in
- Genetics 7
- Genetic Associations and Epidemiology 5
- Genomics and Rare Diseases 2
- Genetics and Neurodevelopmental Disorders 1
- Diabetes and associated disorders 1
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- Epigenetics and DNA Methylation 2
- Co-authors
- Zhan Ye (9 shared papers)Scott J. Hebbring (12 shared papers)David Page (6 shared papers)Murray H. Brilliant (6 shared papers)Peggy Peissig (3 shared papers)Eric LaRose (3 shared papers)Simon Lin (1 shared paper)Majid Rastegar-Mojarad (1 shared paper)
- Journals
- Bioinformatics (3 papers)Journal of the American Medical Informatics Association (1 paper)Journal of Biomedical Informatics (1 paper)Genes & Diseases (1 paper)Journal of Medical Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
John Mayer
16 papers receiving 302 citations
Peers
Comparison fields: 5 of 75
- Health Informatics 8
- Health Information Management 21
- Toxicology 13
- Periodontics 13
- Genetics 78
Countries citing papers authored by John Mayer
This map shows the geographic impact of John Mayer'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 John Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Mayer more than expected).
Fields of papers citing papers by John Mayer
This network shows the impact of papers produced by John Mayer. 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 John Mayer. The network helps show where John Mayer may publish in the future.
Co-authors
The 25 scholars most cited alongside John Mayer, 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 | 75 | |
| 2 | 2014 | 38 | |
| 3 | 2017 | 37 | |
| 4 | 2015 | 34 | |
| 5 | 2019 | 31 | |
| 6 | 2016 | 30 | |
| 7 | 2017 | 15 | |
| 8 | 2014 | 9 | |
| 9 | 2016 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2017 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2021 | 2 | |
| 15 | 2019 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 |
About John Mayer
John Mayer is a scholar working on Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research and Pathology and Forensic Medicine, having authored 18 papers that have together received 303 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Genomics and Rare Diseases (2 papers), Epigenetics and DNA Methylation (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Cancer Genomics and Diagnostics (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Mycobacterium research and diagnosis (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Health Informatics (8 citations), Health Information Management (21 citations), Toxicology (13 citations), Periodontics (13 citations) and Genetics (78 citations). John Mayer has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Zhan Ye, Scott J. Hebbring, David Page, Murray H. Brilliant, Peggy Peissig, Eric LaRose, Simon Lin, Majid Rastegar-Mojarad, Zhiyi Zhou and Ahmad P. Tafti. Their work appears in journals such as Bioinformatics, Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, Genes & Diseases and Journal of Medical Genetics.
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.