Kelsey Mayo

1.3k total citations
9 papers, 120 citations indexed

About

Kelsey Mayo is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Kelsey Mayo has authored 9 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 2 papers in Public Health, Environmental and Occupational Health and 1 paper in Molecular Biology. Recurrent topics in Kelsey Mayo's work include Genetic Associations and Epidemiology (3 papers), Genomics and Rare Diseases (2 papers) and Obesity, Physical Activity, Diet (2 papers). Kelsey Mayo is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Genomics and Rare Diseases (2 papers) and Obesity, Physical Activity, Diet (2 papers). Kelsey Mayo collaborates with scholars based in United States and United Kingdom. Kelsey Mayo's co-authors include Andrea H. Ramirez, Lucila Ohno‐Machado, Eric Boerwinkle, Ellen G. Cohn, Sheri D. Schully, Kelly A. Gebo, Cheryl R. Clark, Mine Cicek, Jason H. Karnes and Jihoon Kim and has published in prestigious journals such as Nature Communications, PLoS ONE and Medicine & Science in Sports & Exercise.

In The Last Decade

Kelsey Mayo

9 papers receiving 117 citations

Peers

Kelsey Mayo

PHEOH

OPHTH

RNMI

CCM

PHYSI

Injeong Shim South Korea

Claire Monnereau Netherlands

Amanda Yun Rui Lam Singapore

Adelle M. Gadowski Australia

Audrey Farrugia France

Caio de Assis Moura Tavares Brazil

Mushtaqur Rahman United Kingdom

M. T. van der Merwe South Africa

Nigus Gebremedhin Asefa United States

Mark Beasley United States

Injeong Shim South Korea

Kelsey Mayo

18 ×0.7

PHEOH

13 ×0.5

OPHTH

31 ×1.3

RNMI

21 ×1.1

CCM

22 ×1.3

PHYSI

Citations per year, relative to Kelsey Mayo Kelsey Mayo (= 1×) peers Injeong Shim

Countries citing papers authored by Kelsey Mayo

Since Specialization

Citations

This map shows the geographic impact of Kelsey 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 Kelsey Mayo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kelsey Mayo more than expected).

Fields of papers citing papers by Kelsey Mayo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kelsey 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 Kelsey Mayo. The network helps show where Kelsey Mayo may publish in the future.

Co-authorship network of co-authors of Kelsey Mayo

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Deflaux, Nicole, Margaret Sunitha Selvaraj, Kelsey Mayo, et al.. (2023). Demonstrating paths for unlocking the value of cloud genomics through cross cohort analysis. Nature Communications. 14(1). 5419–5419. 10 indexed citations

2.

Wang, Xin, Jihoon Kim, Andrea H. Ramirez, et al.. (2023). Common and rare variants associated with cardiometabolic traits across 98,622 whole-genome sequences in the All of Us research program. Journal of Human Genetics. 68(8). 565–570. 6 indexed citations

3.

Alonso, Álvaro, Hooman Kamel, Vignesh Subbian, et al.. (2022). Epidemiology of atrial fibrillation in the All of Us Research Program. PLoS ONE. 17(3). e0265498–e0265498. 18 indexed citations

4.

Baxter, Sally L., Bharanidharan Radha Saseendrakumar, Paulina Paul, et al.. (2021). Predictive Analytics for Glaucoma Using Data From the All of Us Research Program. American Journal of Ophthalmology. 227. 74–86. 38 indexed citations

5.

Karnes, Jason H., Amit Arora, Heidi E. Steiner, et al.. (2021). Racial, ethnic, and gender differences in obesity and body fat distribution: An All of Us Research Program demonstration project. PLoS ONE. 16(8). e0255583–e0255583. 37 indexed citations

6.

Giangreco, Nicholas, Jun Qian, Vignesh Subbian, et al.. (2021). Pediatric data from the All of Us research program: demonstration of pediatric obesity over time. JAMIA Open. 4(4). ooab112–ooab112. 1 indexed citations

7.

Cronin, Robert M., Alese E. Halvorson, Xiaoke Feng, et al.. (2020). Comparison of family health history in surveys vs electronic health record data mapped to the observational medical outcomes partnership data model in the All of Us Research Program. Journal of the American Medical Informatics Association. 28(4). 695–703. 8 indexed citations

8.

Kirkner, Gregory J., Sarah Levin, J. Larry Durstine, et al.. (2001). GEOGRAPHICAL (URBAN/RURAL) VARIATIONS IN PREVALENCE OF PHYSICAL INACTIVITY. Medicine & Science in Sports & Exercise. 33(5). S238–S238. 1 indexed citations

9.

Mayo, Kelsey, et al.. (1997). Enhancing student learning and employee health through university-community partnerships.. PubMed. 4(4). 20–3. 1 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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