Kim M. Gans

124 papers receiving 2.6k citations

Peers

Kim M. Gans
Comparison fields: 5 of 133
  • Pharmacy 368
  • Public Health, Environmental and Occupational Health 1.5k
  • General Health Professions 1.2k
  • Applied Psychology 225
  • Physiology 679
Replace Elizabeth Denney‐Wilson with:
Elizabeth Denney‐Wilson Australia
Sally M. Davis United States
Thomas C. Keyserling United States
Rachel Laws Australia
Lynne Millar Australia
Niaman Nazir United States
Raymond R. Hyatt United States
Sarah Armstrong United States
Cheryl L. Albright United States
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Citations per field
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Citations per year

Countries citing papers authored by Kim M. Gans

Since Specialization
Citations

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

Fields of papers citing papers by Kim M. Gans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim M. Gans. 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 Kim M. Gans. The network helps show where Kim M. Gans may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004161
2 2010155
3 200399
4 200689
5 200987
6 199487
7 200378
8 199777
9 202066
10 201363
11 199363
12 201657
13 200955
14 201852
15 199548
16 200746
17 201044
18 201543
19 201541
20
Association of perceived racial discrimination with eating behaviors and obesity among participants of the SisterTalk study.
201241

About Kim M. Gans

Kim M. Gans is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Physiology, Pharmacy and Psychiatry and Mental health, having authored 128 papers that have together received 2.8k indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (83 papers), Obesity and Health Practices (23 papers), Food Security and Health in Diverse Populations (22 papers), Physical Activity and Health (22 papers), Child Nutrition and Feeding Issues (21 papers), Health and Lifestyle Studies (18 papers), Mobile Health and mHealth Applications (16 papers) and Nutritional Studies and Diet (16 papers). The work is most often cited by research in Pharmacy (368 citations), Public Health, Environmental and Occupational Health (1.5k citations), General Health Professions (1.2k citations), Applied Psychology (225 citations) and Physiology (679 citations). Kim M. Gans has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Patricia Markham Risica, Thomas M. Lasater, Judith Wylie‐Rosett, Charles B. Eaton, C. J. Segal-Isaacson, Richard A. Carleton, Leslie O. Strolla, Bess H. Marcus, Usree Kirtania and Jennifer Mello. Their work appears in journals such as Journal of Nutrition Education and Behavior, American Journal of Preventive Medicine, International Journal of Behavioral Nutrition and Physical Activity, Contemporary Clinical Trials and Preventive Medicine.

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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