Ramey Moore

718 citations
43 papers · 477 indexed · h-index 11

Ramey Moore

36 papers receiving 455 citations

Peers

Ramey Moore
Comparison fields: 5 of 72
  • Health 280
  • Modeling and Simulation 48
  • Infectious Diseases 97
  • Obstetrics and Gynecology 37
  • General Health Professions 101
Replace Jennifer A. Andersen with:
Jennifer A. Andersen United States
Addisu Dabi Wake Ethiopia
Keneshia Bryant‐Moore United States
Rachel Gur‐Arie United States
Sean J. Lawrence United States
Liora Shmueli Israel
Philippa Rokkas Australia
Olympia Konstantakopoulou Greece
Kate Sollis Australia
Katarzyna Bolsewicz Australia
Ramey Moore relative to Jennifer A. Andersen United States Jennifer A. Andersen's profile →
Citations per field
00.5×10×13×
Jennifer A. Andersen · 1×
Citations per year

Countries citing papers authored by Ramey Moore

Since Specialization
Citations

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

Fields of papers citing papers by Ramey Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ramey Moore, 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 Ramey Moore Line = papers co-authored together Ramey Moore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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12 202221
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18 20179
19
EVERYTHING ELSE IS DRAG: LINGUISTIC DRAG AND GENDER PARODY ON RUPAUL’S DRAG RACE
201310
20
A short account of a medical survey in the Kisli district of Kenya.
19581

About Ramey Moore

Ramey Moore is a scholar working on Health, General Health Professions, General Dentistry, Business and International Management and Obstetrics and Gynecology, having authored 43 papers that have together received 477 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (22 papers), Misinformation and Its Impacts (6 papers), Hate Speech and Cyberbullying Detection (5 papers), Food Security and Health in Diverse Populations (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Psychology of Moral and Emotional Judgment (4 papers), COVID-19 Impact on Reproduction (4 papers) and COVID-19 and Mental Health (3 papers). The work is most often cited by research in Health (280 citations), Modeling and Simulation (48 citations), Infectious Diseases (97 citations), Obstetrics and Gynecology (37 citations) and General Health Professions (101 citations). Ramey Moore has collaborated with scholars based in United States. Frequent co-authors include Pearl A. McElfish, Rachel S. Purvis, Don E. Willis, Emily Hallgren, Sharon Reece, Britni L. Ayers, Brett Rowland, Jonell Hudson, Bill Buron and Thomas K. Schulz. Their work appears in journals such as Vaccine, BMC Public Health, Vaccines, Journal of Cancer Survivorship and Human Vaccines & Immunotherapeutics.

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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