L. Suzanne Goodell

1.4k total citations
64 papers, 1.0k citations indexed

About

L. Suzanne Goodell is a scholar working on Public Health, Environmental and Occupational Health, Psychiatry and Mental health and Education. According to data from OpenAlex, L. Suzanne Goodell has authored 64 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Public Health, Environmental and Occupational Health, 21 papers in Psychiatry and Mental health and 21 papers in Education. Recurrent topics in L. Suzanne Goodell's work include Obesity, Physical Activity, Diet (42 papers), Child Nutrition and Feeding Issues (21 papers) and Early Childhood Education and Development (11 papers). L. Suzanne Goodell is often cited by papers focused on Obesity, Physical Activity, Diet (42 papers), Child Nutrition and Feeding Issues (21 papers) and Early Childhood Education and Development (11 papers). L. Suzanne Goodell collaborates with scholars based in United States, Australia and Kuwait. L. Suzanne Goodell's co-authors include Virginia C. Stage, Ann M. Ferris, Sheryl O. Hughes, Thomas G. Power, Susan L. Johnson, April Fogleman, Dorothy Wakefield, Maryanne T. Perrin, Archana V. Hegde and Theresa A. Nicklas and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Clinical Nutrition and The FASEB Journal.

In The Last Decade

L. Suzanne Goodell

58 papers receiving 965 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
L. Suzanne Goodell United States 21 631 318 213 203 195 64 1.0k
Mildred A. Horodynski United States 20 681 1.1× 361 1.1× 289 1.4× 368 1.8× 332 1.7× 59 1.2k
Alison C. Spence Australia 15 863 1.4× 256 0.8× 125 0.6× 277 1.4× 134 0.7× 50 1.1k
Rachel E. Blaine United States 14 608 1.0× 268 0.8× 106 0.5× 218 1.1× 272 1.4× 30 793
Gerda Rodenburg Netherlands 20 620 1.0× 196 0.6× 107 0.5× 309 1.5× 302 1.5× 36 1.0k
Lynn S. Edmunds United States 14 647 1.0× 235 0.7× 82 0.4× 266 1.3× 90 0.5× 21 871
Susan Gross United States 21 524 0.8× 473 1.5× 108 0.5× 360 1.8× 161 0.8× 61 1.2k
Erin Hennessy United States 25 1.2k 1.8× 351 1.1× 162 0.8× 555 2.7× 427 2.2× 84 1.8k
Katherine Isselmann DiSantis United States 14 560 0.9× 297 0.9× 54 0.3× 165 0.8× 196 1.0× 24 836
Jinan Banna United States 18 582 0.9× 81 0.3× 166 0.8× 321 1.6× 201 1.0× 69 1.1k
Bonnie Dudovitz United States 16 769 1.2× 145 0.5× 119 0.6× 486 2.4× 261 1.3× 17 1.2k

Countries citing papers authored by L. Suzanne Goodell

Since Specialization
Citations

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

Fields of papers citing papers by L. Suzanne Goodell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Suzanne Goodell. 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 L. Suzanne Goodell. The network helps show where L. Suzanne Goodell may publish in the future.

Co-authorship network of co-authors of L. Suzanne Goodell

This figure shows the co-authorship network connecting the top 25 collaborators of L. Suzanne Goodell. A scholar is included among the top collaborators of L. Suzanne Goodell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with L. Suzanne Goodell. L. Suzanne Goodell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Hegde, Archana V., L. Suzanne Goodell, Taren Swindle, et al.. (2023). Integration of Food-based Learning With Science in the Preschool Classroom: Implementation Gaps and Opportunities. Journal of Nutrition Education and Behavior. 55(4). 266–284. 7 indexed citations
3.
Stage, Virginia C., et al.. (2023). More PEAS Please! Teaching Teachers How to Integrate Food-based Learning Into Preschool Science. Journal of Nutrition Education and Behavior. 55(6). 457–463. 5 indexed citations
5.
Stage, Virginia C., et al.. (2020). Eastern North Carolina Head Start Teachers’ personal and professional experiences with healthy eating and physical activity: a qualitative exploration. Public Health Nutrition. 24(11). 3460–3476. 6 indexed citations
7.
Goodell, L. Suzanne, et al.. (2017). Teacher Perceptions of Multilevel Policies and the Influence on Nutrition Education in North Carolina Head Start Preschools. Journal of Nutrition Education and Behavior. 49(5). 387–396.e1. 13 indexed citations
8.
Greer, Betty, et al.. (2017). Observations and Conversations: Home Preparation of Infant Formula Among a Sample of Low-Income Mothers in the Southeastern US. Journal of Nutrition Education and Behavior. 49(7). 579–587.e1. 8 indexed citations
9.
Goodell, L. Suzanne, et al.. (2016). A Qualitative Assessment of the Impact of a Service-Learning Course on Students' Discipline-Specific Self-Efficacy. 8(2). 3 indexed citations
10.
Goodell, L. Suzanne, et al.. (2016). Practical Qualitative Research Strategies: Training Interviewers and Coders. Journal of Nutrition Education and Behavior. 48(8). 578–585.e1. 102 indexed citations
11.
Power, Thomas G., Ashley E. Beck, L. Suzanne Goodell, et al.. (2016). Depressive Symptoms and Perceptions of Child Difficulty Are Associated with Less Responsive Feeding Behaviors in an Observational Study of Low-Income Mothers. Childhood Obesity. 12(6). 418–425. 14 indexed citations
12.
Hughes, Sheryl O., Thomas G. Power, Ashley E. Beck, et al.. (2016). Strategies for Effective Eating Development—SEEDS: Design of an Obesity Prevention Program to Promote Healthy Food Preferences and Eating Self-Regulation in Children From Low-Income Families. Journal of Nutrition Education and Behavior. 48(6). 405–418.e1. 24 indexed citations
13.
Chetwynd, Ellen, et al.. (2016). Stakeholder views of breastfeeding education in schools: a systematic mixed studies review of the literature. International Breastfeeding Journal. 12(1). 14–14. 22 indexed citations
14.
Nietfeld, John L., et al.. (2015). The Development and Validation of the Childhood Obesity Prevention Self-Efficacy (COP-SE) Survey. Childhood Obesity. 11(2). 114–121. 1 indexed citations
15.
Power, Thomas G., Sheryl O. Hughes, L. Suzanne Goodell, et al.. (2015). Feeding practices of low-income mothers: how do they compare to current recommendations?. International Journal of Behavioral Nutrition and Physical Activity. 12(1). 34–34. 30 indexed citations
16.
Stage, Virginia C., et al.. (2013). Evaluation of a pictorial method to assess liking of familiar fruits and vegetables among preschool children. Appetite. 75. 11–20. 20 indexed citations
17.
Grossman, Julie, et al.. (2012). An Exploratory Analysis of Student- Community Interactions in Urban Agriculture. Journal of higher education outreach & engagement. 16(2). 179–196. 7 indexed citations
18.
Reicks, Marla, Christine Bruhn, L. Suzanne Goodell, et al.. (2011). Parent calcium-rich-food practices/perceptions are associated with calcium intake among parents and their early adolescent children. Public Health Nutrition. 15(2). 331–340. 14 indexed citations
19.
Nicklas, Theresa A., et al.. (2010). Impact of Commercials on Food Preferences of Low-income, Minority Preschoolers. Journal of Nutrition Education and Behavior. 43(1). 35–41. 20 indexed citations
20.
Goodell, L. Suzanne, et al.. (2008). Validation of the use of digital photography for estimating portion sizes. The FASEB Journal. 22(S1). 1 indexed citations

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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