Rachel Mayo

1.0k total citations
57 papers, 750 citations indexed

About

Rachel Mayo is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Rachel Mayo has authored 57 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in General Health Professions, 19 papers in Public Health, Environmental and Occupational Health and 15 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Rachel Mayo's work include Prenatal Substance Exposure Effects (12 papers), Maternal Mental Health During Pregnancy and Postpartum (9 papers) and Food Security and Health in Diverse Populations (8 papers). Rachel Mayo is often cited by papers focused on Prenatal Substance Exposure Effects (12 papers), Maternal Mental Health During Pregnancy and Postpartum (9 papers) and Food Security and Health in Diverse Populations (8 papers). Rachel Mayo collaborates with scholars based in United States, Czechia and Montenegro. Rachel Mayo's co-authors include Veronica Parker, John R. Ureda, Windsor Westbrook Sherrill, Anita Hunter, Liwei Chen, Gang Hu, Rebecca Carr, Khoa Truong, Lori Dickes and Lu Zhang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and The FASEB Journal.

In The Last Decade

Rachel Mayo

52 papers receiving 703 citations

Peers

Rachel Mayo
Comparison fields: 5 of 111
  • General Health Professions 237
  • Public Health, Environmental and Occupational Health 164
  • Oncology 156
  • Epidemiology 150
  • Sociology and Political Science 109
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Citations per field, relative to Rachel Mayo
Rachel Mayo · 1×
Citations per year, relative to Rachel Mayo
Rachel Mayo · 1×

Countries citing papers authored by Rachel Mayo

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Mayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Mayo

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 3
4 2
5 5
6 1
7 9
8 4
9 3
10 1
11 5
12 6
13 21
14 29
15 82
16
The Upstate Witness Project: addressing breast and cervical cancer disparities in African American churches.
5
17 20
18 16
19 12
20 46

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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