Ping Mayo

488 citations
11 papers · 400 · h-index 10

Impact in

    • Neurological diseases and metabolism
    • Alzheimer's disease research and treatments

Papers in

    • Genetic Associations and Epidemiology 4
    • Nutrition, Genetics, and Disease 1
    • Machine Learning in Bioinformatics 1
    • Bioinformatics and Genomic Networks 1

Ping Mayo

11 papers receiving 394 citations

Peers

Ping Mayo
Comparison fields: 5 of 68
  • Neurology 48
  • Physiology 129
  • Ophthalmology 43
  • Genetics 80
  • Molecular Biology 178
Replace J. Harned with:
J. Harned United States
Kamil S. Sitarz United Kingdom
Leila A. Shobab United States
Xiaobo Zhu China
Daniel T. Hass United States
Christine M. Donmoyer United States
Esraa Shosha United States
Lara A. Skelton United States
Hye-Won Hyun South Korea
Nianting Tong China
Ping Mayo relative to J. Harned United States J. Harned's profile →
Citations per field
00.5×2×4×5.5×
J. Harned · 1×
Citations per year

Countries citing papers authored by Ping Mayo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ping Mayo Line = papers co-authored together Ping Mayo links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2015167
2 201055
3 201455
4 201430
5 201027
6 201319
7 202213
8 201312
9 201310
10 201210
11 20142

About Ping Mayo

Ping Mayo is a scholar working on Genetics, Molecular Biology, Biochemistry, Physiology and Neurology, having authored 11 papers that have together received 400 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Alzheimer's disease research and treatments (2 papers), Machine Learning in Bioinformatics (1 paper), Nutrition, Genetics, and Disease (1 paper), Gallbladder and Bile Duct Disorders (1 paper), Bioinformatics and Genomic Networks (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Neurological diseases and metabolism (1 paper). The work is most often cited by research in Neurology (48 citations), Physiology (129 citations), Ophthalmology (43 citations), Genetics (80 citations) and Molecular Biology (178 citations). Ping Mayo has collaborated with scholars based in United States. Frequent co-authors include Nathalie C. Schnetz‐Boutaud, Dana C. Crawford, Kristin D. Brown-Gentry, Robert Goodloe, Jonathan L. Haines, Jonathan Boston, Margaret A. Pericak‐Vance, Bob McClellan, William K. Scott and Hailing Jin. Their work appears in journals such as Human Genetics, PLoS ONE, Current Protocols in Human Genetics, Circulation Cardiovascular Genetics and PLoS 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.

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