Sarah E. Moore

618 citations
31 papers · 435 · h-index 12

Impact in

Papers in

Sarah E. Moore

28 papers receiving 422 citations

Peers

Sarah E. Moore
Comparison fields: 5 of 83
  • Endocrine and Autonomic Systems 73
  • Public Health, Environmental and Occupational Health 189
  • Physiology 160
  • Applied Psychology 20
  • Pharmacy 15
Replace Diana Gonzales‐Pacheco with:
Diana Gonzales‐Pacheco United States
Suruchi Mishra United States
Hudson Reddon Canada
Kimberly L. Drews United States
Mai Matsumoto Japan
Stephanie H. Fay United Kingdom
Melissa Harris United States
Sarah Pedersen United States
Jeanett Friis Rohde Denmark
B. Jones United States
Sarah E. Moore relative to Diana Gonzales‐Pacheco United States Diana Gonzales‐Pacheco's profile →
Citations per field
00.5×
Diana Gonzales‐Pacheco · 1×
Citations per year

Countries citing papers authored by Sarah E. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Sarah E. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198391
2 201754
3 202134
4 201333
5 201531
6 200331
7 201826
8 201820
9 201917
10 201814
11 202112
12 202111
13 201810
14 201710
15 20219
16 20215
17 20235
18 20164
19 20233
20 20173

About Sarah E. Moore

Sarah E. Moore is a scholar working on Public Health, Environmental and Occupational Health, Physiology, General Health Professions, Genetics and Clinical Psychology, having authored 31 papers that have together received 435 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (20 papers), Nutritional Studies and Diet (14 papers), Diet and metabolism studies (8 papers), Consumer Attitudes and Food Labeling (4 papers), Eating Disorders and Behaviors (3 papers), School Health and Nursing Education (3 papers), Obesity and Health Practices (3 papers) and Food Security and Health in Diverse Populations (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (73 citations), Public Health, Environmental and Occupational Health (189 citations), Physiology (160 citations), Applied Psychology (20 citations) and Pharmacy (15 citations). Sarah E. Moore has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Mark Sanders, Jayne V. Woodside, Michelle C. McKinley, Claire T. McEvoy, Frank Kee, Ian Young, Margaret Cupples, I. Pratt, Simone Pettigrew and Katherine M. Appleton. Their work appears in journals such as Proceedings of The Nutrition Society, Public Health Nutrition, BMC Public Health, International Journal of Behavioral Nutrition and Physical Activity and British Journal Of Nutrition.

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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