Ryan Saelee

26 papers receiving 383 citations

Ryan Saelee's Hit Papers

Disparities in COVID-19 Vaccination Coverage Between Urban and Rural Counties — United States, December 14, 2020–January 31, 2022 2022 · 113 citations
1130+1+2Years since publication255075100

Peers

Ryan Saelee
Comparison fields: 5 of 60
  • Health 140
  • Modeling and Simulation 31
  • Obstetrics and Gynecology 25
  • Experimental and Cognitive Psychology 38
  • Infectious Diseases 49
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Shehata F. Shehata Saudi Arabia
Cat Tuong Nguyen Canada
Marcus R. Andrews United States
Megan E. Marziali United States
Imad Abdulmajeed Saudi Arabia
Jo Parsons United Kingdom
Vislava Globevnik Velikonja Slovenia
Awoere T. Chinawa Nigeria
Maura Powell United States
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Countries citing papers authored by Ryan Saelee

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Saelee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Disparities in COVID-19 Vaccination Coverage Between Urban and Rural Counties — United States, December 14, 2020–January 31, 2022
Hit paper breakdown →
2022113
2 202134
3 202231
4 202229
5 202224
6 202421
7 202014
8 202314
9 202414
10 202214
11 202012
12 202410
13 202310
14 20239
15 20199
16 20247
17 20237
18 20236
19 20244
20 20224

About Ryan Saelee

Ryan Saelee is a scholar working on Health, Infectious Diseases, Public Health, Environmental and Occupational Health, General Health Professions and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 394 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Vaccine Coverage and Hesitancy (5 papers), Obesity, Physical Activity, Diet (3 papers), COVID-19 Impact on Reproduction (3 papers), Sleep and related disorders (3 papers), COVID-19 epidemiological studies (2 papers), Diabetes Management and Education (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Health (140 citations), Modeling and Simulation (31 citations), Obstetrics and Gynecology (25 citations), Experimental and Cognitive Psychology (38 citations) and Infectious Diseases (49 citations). Ryan Saelee has collaborated with scholars based in United States, Puerto Rico and U.S. Virgin Islands. Frequent co-authors include Lynn Gibbs‐Scharf, Bhavini Patel Murthy, Elizabeth R. Zell, LaTreace Harris, Neil Murthy, Lauren Shaw, Lu Meng, Hannah E. Fast, Shakira F. Suglia and Terence Chorba. Their work appears in journals such as Preventing Chronic Disease, MMWR Morbidity and Mortality Weekly Report, American Journal of Preventive Medicine, Diabetes Care and Emerging infectious diseases.

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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