Ping Mayo
Impact in
- Ophthalmology top 10%
- Retinal Diseases and Treatments
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- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
Papers in
-
- Machine Learning in Bioinformatics 1
- Glutathione Transferases and Polymorphisms 1
- Advanced biosensing and bioanalysis techniques 1
- Genetics 5
- Genetic Associations and Epidemiology 3
- Nutrition, Genetics, and Disease 1
- Genomic variations and chromosomal abnormalities 1
- Co-authors
- Nathalie Schnetz‐Boutaud (6 shared papers)Kristin Brown‐Gentry (4 shared papers)Dana C. Crawford (4 shared papers)Robert Goodloe (4 shared papers)Jonathan L. Haines (3 shared papers)J.R. Boston (3 shared papers)Margaret A. Pericak‐Vance (3 shared papers)Bob McClellan (3 shared papers)
- Journals
- Human Genetics (2 papers)Current Protocols in Human Genetics (1 paper)Circulation Cardiovascular Genetics (1 paper)PLoS Genetics (1 paper)PLoS ONE (1 paper)
- Partner nations
- United States
In The Last Decade
Ping Mayo
8 papers receiving 193 citations
Peers
Comparison fields: 5 of 51
- Ophthalmology 48
- Genetics 74
- Cancer Research 20
- Radiology, Nuclear Medicine and Imaging 30
- Endocrinology, Diabetes and Metabolism 21
Countries citing papers authored by Ping Mayo
This map shows the geographic impact of Ping Mayo'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 Ping Mayo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Mayo more than expected).
Fields of papers citing papers by Ping Mayo
This network shows the impact of papers produced by Ping Mayo. 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 Ping Mayo. The network helps show where Ping Mayo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping Mayo, 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 | 2014 | 52 | |
| 2 | 2010 | 51 | |
| 3 | 2014 | 29 | |
| 4 | 2010 | 24 | |
| 5 | 2012 | 10 | |
| 6 | 2013 | 10 | |
| 7 | 2013 | 10 | |
| 8 | 2022 | 9 |
About Ping Mayo
Ping Mayo is a scholar working on Molecular Biology, Genetics, Surgery, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 195 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Nutrition, Genetics, and Disease (1 paper), Machine Learning in Bioinformatics (1 paper), Alzheimer's disease research and treatments (1 paper), Alcohol Consumption and Health Effects (1 paper), Genomic variations and chromosomal abnormalities (1 paper), Glutathione Transferases and Polymorphisms (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Ophthalmology (48 citations), Genetics (74 citations), Cancer Research (20 citations), Radiology, Nuclear Medicine and Imaging (30 citations) and Endocrinology, Diabetes and Metabolism (21 citations). Ping Mayo has collaborated with scholars based in United States. Frequent co-authors include Nathalie Schnetz‐Boutaud, Kristin Brown‐Gentry, Dana C. Crawford, Robert Goodloe, Jonathan L. Haines, J.R. Boston, Margaret A. Pericak‐Vance, Bob McClellan, Hailing Jin and William K. Scott. Their work appears in journals such as Human Genetics, Current Protocols in Human Genetics, Circulation Cardiovascular Genetics, PLoS Genetics and PLoS ONE.
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.