Lisa Sutherland

1.0k citations
23 papers · 617 · h-index 13

Impact in

Papers in

Lisa Sutherland

19 papers receiving 577 citations

Peers

Lisa Sutherland
Comparison fields: 5 of 95
  • Public Health, Environmental and Occupational Health 350
  • Pharmacy 42
  • Marketing 75
  • General Health Professions 146
  • Applied Psychology 22
Replace Sergio A. Costa with:
Sergio A. Costa United States
Anne L. Escaron United States
Lenard I. Lesser United States
Lindsey Haynes‐Maslow United States
Vanessa Er United Kingdom
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LaVonna B. Lewis United States
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Citations per field
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Citations per year

Countries citing papers authored by Lisa Sutherland

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Sutherland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010162
2 200769
3 201157
4 201052
5 200551
6 200144
7 200540
8 200836
9 201423
10 200121
11 200913
12 201313
13 201112
14 201111
15 20114
16 19994
17 20082
18
The evolution of the information professional: Thoughts on innovation in “librarianship” and practical solutions for future candidates from IVA
20161
19 20191
20 20231

About Lisa Sutherland

Lisa Sutherland is a scholar working on Public Health, Environmental and Occupational Health, Clinical Psychology, General Health Professions, Information Systems and Marketing, having authored 23 papers that have together received 617 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (11 papers), Nutritional Studies and Diet (7 papers), Eating Disorders and Behaviors (5 papers), Consumer Attitudes and Food Labeling (5 papers), Consumer Behavior in Brand Consumption and Identification (3 papers), Health Literacy and Information Accessibility (2 papers), Obesity and Health Practices (2 papers) and Colorectal Cancer Screening and Detection (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (350 citations), Pharmacy (42 citations), Marketing (75 citations), General Health Professions (146 citations) and Applied Psychology (22 citations). Lisa Sutherland has collaborated with scholars based in United States, Australia and Vietnam. Frequent co-authors include Leslie M. Fischer, Marci K. Campbell, Madeline A. Dalton, Kiyah J. Duffey, Andrea Meier, Barbara M. Wildemuth, Todd A. MacKenzie, Pamela S. Haines, Jeremy Nobel and Jeffrey M. Blumberg. Their work appears in journals such as Journal of Nutrition Education and Behavior, Nutrients, American Journal of Preventive Medicine, American Journal of Clinical Nutrition and American Journal of Health Promotion.

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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