Ping Mayo

476 total citations
8 papers, 195 citations indexed

About

Ping Mayo is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Ping Mayo has authored 8 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 1 paper in Surgery. Recurrent topics in Ping Mayo's work include Genetic Associations and Epidemiology (3 papers), Nutrition, Genetics, and Disease (1 paper) and Genomics and Chromatin Dynamics (1 paper). Ping Mayo is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Nutrition, Genetics, and Disease (1 paper) and Genomics and Chromatin Dynamics (1 paper). Ping Mayo collaborates with scholars based in United States. Ping Mayo's co-authors include Nathalie Schnetz‐Boutaud, Kristin Brown‐Gentry, Robert Goodloe, Dana C. Crawford, Jonathan L. Haines, Bob McClellan, Margaret A. Pericak‐Vance, J.R. Boston, Hailing Jin and William K. Scott and has published in prestigious journals such as PLoS ONE, PLoS Genetics and Human Genetics.

In The Last Decade

Ping Mayo

8 papers receiving 193 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ping Mayo United States	8	78	74	48	30	26	8	195
Mei Han China	9	59 0.8×	26 0.4×	67 1.4×	64 2.1×	8 0.3×	23	245
Marc Stahel Switzerland	5	111 1.4×	80 1.1×	76 1.6×	52 1.7×	20 0.8×	8	323
X. Piguel France	9	53 0.7×	46 0.6×	8 0.2×	9 0.3×	40 1.5×	14	190
Georgia Kaidonis Australia	10	92 1.2×	28 0.4×	173 3.6×	125 4.2×	7 0.3×	26	282
Tinka Hovnik Slovenia	10	132 1.7×	91 1.2×	12 0.3×	5 0.2×	14 0.5×	25	290
Jiamin Cao China	10	99 1.3×	29 0.4×	24 0.5×	7 0.2×	4 0.2×	35	251
Janet M. Legare United States	9	115 1.5×	176 2.4×	14 0.3×	17 0.6×	6 0.2×	27	269
Anna Bossowska Poland	10	60 0.8×	104 1.4×	17 0.4×	9 0.3×	7 0.3×	24	380
Eliana Disabella Italy	7	36 0.5×	107 1.4×	7 0.1×	7 0.2×	48 1.8×	15	206
Ayako Ito Japan	10	105 1.3×	27 0.4×	13 0.3×	12 0.4×	7 0.3×	27	322

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-authorship network of co-authors of Ping Mayo

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Mayo. A scholar is included among the top collaborators of Ping Mayo 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 Ping Mayo. Ping Mayo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Tinker, Rory J., David C. Rinker, Jonathan H. Sheehan, et al.. (2022). A novel, likely pathogenic variant in UBTF‐related neurodegeneration with brain atrophy is associated with a severe divergent neurodevelopmental phenotype. Molecular Genetics & Genomic Medicine. 10(12). e2054–e2054. 9 indexed citations

Hall, Molly A., Anurag Verma, Kristin Brown‐Gentry, et al.. (2014). Detection of Pleiotropy through a Phenome-Wide Association Study (PheWAS) of Epidemiologic Data as Part of the Environmental Architecture for Genes Linked to Environment (EAGLE) Study. PLoS Genetics. 10(12). e1004678–e1004678. 52 indexed citations

Crawford, Dana C., Logan Dumitrescu, Robert Goodloe, et al.. (2014). Rare Variant APOC3 R19X Is Associated With Cardio-Protective Profiles in a Diverse Population-Based Survey as Part of the Epidemiologic Architecture for Genes Linked to Environment Study. Circulation Cardiovascular Genetics. 7(6). 848–853. 29 indexed citations

Murdock, Deborah G., Yuki Bradford, Nathalie Schnetz‐Boutaud, et al.. (2013). KIAA1462, A Coronary Artery Disease Associated Gene, Is a Candidate Gene for Late Onset Alzheimer Disease in APOE Carriers. PLoS ONE. 8(12). e82194–e82194. 10 indexed citations

Goodloe, Robert, Kristin Brown‐Gentry, Hailing Jin, et al.. (2013). Lipid trait-associated genetic variation is associated with gallstone disease in the diverse Third National Health and Nutrition Examination Survey (NHANES III). BMC Medical Genetics. 14(1). 120–120. 10 indexed citations

Dumitrescu, Logan, Robert Goodloe, Kristin Brown‐Gentry, et al.. (2012). Serum vitamins A and E as modifiers of lipid trait genetics in the National Health and Nutrition Examination Surveys as part of the Population Architecture using Genomics and Epidemiology (PAGE) study. Human Genetics. 131(11). 1699–1708. 10 indexed citations

Wang, Gaofeng, Kylee L. Spencer, William K. Scott, et al.. (2010). Analysis of the indel at the ARMS2 3′UTR in age-related macular degeneration. Human Genetics. 127(5). 595–602. 51 indexed citations

Mayo, Ping, et al.. (2010). CNV Analysis Using TaqMan Copy Number Assays. Current Protocols in Human Genetics. 67(1). Unit2.13–Unit2.13. 24 indexed citations

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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