Lisa G. Rosas

4.5k citations
131 papers · 2.8k indexed · h-index 27

Lisa G. Rosas

120 papers receiving 2.7k citations

Peers

Lisa G. Rosas
Comparison fields: 5 of 160
  • Pharmacy 358
  • Health, Toxicology and Mutagenesis 486
  • General Health Professions 872
  • Public Health, Environmental and Occupational Health 862
  • Applied Psychology 112
Replace Chris I. Ardern with:
Chris I. Ardern Canada
Nefertiti Durant United States
Jun Ma China
Ellen Smit United States
Liping Pan United States
Sharon B. Wyatt United States
Stephanie T. Broyles United States
Jason P. Block United States
Rebecca A. Seguin‐Fowler United States
Sarah Armstrong United States
Lisa G. Rosas relative to Chris I. Ardern Canada Chris I. Ardern's profile →
Citations per field
00.5×2.6×
Chris I. Ardern · 1×
Citations per year

Countries citing papers authored by Lisa G. Rosas

Since Specialization
Citations

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

Fields of papers citing papers by Lisa G. Rosas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa G. Rosas. 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 Lisa G. Rosas. The network helps show where Lisa G. Rosas may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
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About Lisa G. Rosas

Lisa G. Rosas is a scholar working on Pharmacy, General Health Professions, Public Health, Environmental and Occupational Health, Applied Psychology and Clinical Psychology, having authored 131 papers that have together received 2.8k indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (36 papers), Obesity and Health Practices (30 papers), Food Security and Health in Diverse Populations (17 papers), Health Policy Implementation Science (12 papers), Eating Disorders and Behaviors (10 papers), Mobile Health and mHealth Applications (8 papers), Physical Activity and Health (8 papers) and Diabetes Management and Education (7 papers). The work is most often cited by research in Pharmacy (358 citations), Health, Toxicology and Mutagenesis (486 citations), General Health Professions (872 citations), Public Health, Environmental and Occupational Health (862 citations) and Applied Psychology (112 citations). Lisa G. Rosas has collaborated with scholars based in United States, Colombia and Mexico. Frequent co-authors include Brenda Eskenazi, Jun Ma, Lan Xiao, Randall S. Stafford, Veronica Yank, Kim G. Harley, Philip W. Lavori, Sandra R. Wilson, Nan Lv and ­Abby C. King. Their work appears in journals such as Contemporary Clinical Trials, American Journal of Preventive Medicine, Journal of Immigrant and Minority Health, International Journal of Environmental Research and Public Health and Obesity.

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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