Gia E. Rutledge

424 citations
8 papers · 350 · h-index 5

Impact in

Papers in

Gia E. Rutledge

7 papers receiving 324 citations

Peers

Gia E. Rutledge
Comparison fields: 5 of 82
  • Pharmacy 65
  • Public Health, Environmental and Occupational Health 141
  • General Health Professions 104
  • Endocrinology, Diabetes and Metabolism 56
  • Health 27
Replace Karen Kearns with:
Karen Kearns Ireland
Emily M. Kraus United States
Ann Smith Barnes United States
W. H. Dietz United States
Heidi Walls Australia
Alan Hunter United Kingdom
Eng Joo Tan Australia
Juan P. González‐Rivas United States
Jaynaide Powis United Kingdom
Vilma Kriaučionienė Lithuania
Gia E. Rutledge relative to Karen Kearns Ireland Karen Kearns's profile →
Citations per field
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Karen Kearns · 1×
Citations per year

Countries citing papers authored by Gia E. Rutledge

Since Specialization
Citations

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

Fields of papers citing papers by Gia E. Rutledge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gia E. Rutledge. 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 Gia E. Rutledge. The network helps show where Gia E. Rutledge may publish in the future.

Co-authors

The 13 scholars most cited alongside Gia E. Rutledge, 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 Gia E. Rutledge Line = papers co-authored together Gia E. Rutledge links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Differences in prevalence of obesity among black, white, and hispanic adults - United States, 2006-2008.
2009278
2 201728
3 201820
4 201810
5 20155
6 20234
7 20154
8 20181

About Gia E. Rutledge

Gia E. Rutledge is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions, Epidemiology, Psychiatry and Mental health and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 350 indexed citations. Recurring topics across this work include Diabetes Management and Education (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Breastfeeding Practices and Influences (2 papers), Child Nutrition and Feeding Issues (2 papers), Food Security and Health in Diverse Populations (2 papers), Health Policy Implementation Science (1 paper), Obesity and Health Practices (1 paper) and Community Health and Development (1 paper). The work is most often cited by research in Pharmacy (65 citations), Public Health, Environmental and Occupational Health (141 citations), General Health Professions (104 citations), Endocrinology, Diabetes and Metabolism (56 citations) and Health (27 citations). Gia E. Rutledge has collaborated with scholars based in United States, Uganda and Kenya. Frequent co-authors include Bettylou Sherry, W. H. Dietz, Alan Hunter, Deborah A. Galuska, Lina S. Balluz, Jennifer M. Morgan, Kimberly Lane, Caitlin Merlo, Kunthea Nhim and Pamela Lilleston. Their work appears in journals such as Preventing Chronic Disease, Journal of Human Lactation, Prevention Science, MMWR Morbidity and Mortality Weekly Report and Diabetes.

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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