Nancy M. Childs

60 total papers · 805 total citations
32 papers, 574 citations indexed

About

Nancy M. Childs is a scholar working on Public Health, Environmental and Occupational Health, Food Science and Marketing. According to data from OpenAlex, Nancy M. Childs has authored 32 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Public Health, Environmental and Occupational Health, 6 papers in Food Science and 5 papers in Marketing. Recurrent topics in Nancy M. Childs's work include Consumer Attitudes and Food Labeling (10 papers), Obesity, Physical Activity, Diet (4 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). Nancy M. Childs is often cited by papers focused on Consumer Attitudes and Food Labeling (10 papers), Obesity, Physical Activity, Diet (4 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). Nancy M. Childs collaborates with scholars based in United States, Malaysia and Netherlands. Nancy M. Childs's co-authors include Jill K. Maher, Christy L. White, Renée Shaw Hughner, Kathleen R. Allen, Mark Peyrot, David Schmidt, Seth Finn, Kenneth C. Herbst, Constance J. Geiger and William E. Nganje and has published in prestigious journals such as Journal of Business Research, Critical Reviews in Food Science and Nutrition and Nutrition Reviews.

In The Last Decade

Nancy M. Childs

27 papers receiving 501 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nancy M. Childs	257	183	140	75	60	32	574
Stanley M. Fletcher	119 0.5×	236 1.3×	102 0.7×	177 2.4×	38 0.6×	62	643
Abigail M. Okrent	309 1.2×	73 0.4×	126 0.9×	95 1.3×	30 0.5×	34	686
Jane E. Machin	180 0.7×	141 0.8×	222 1.6×	98 1.3×	11 0.2×	18	654
Cuma Akbay	75 0.3×	102 0.6×	98 0.7×	96 1.3×	24 0.4×	69	570
Mary G. Roseman	221 0.9×	166 0.9×	112 0.8×	33 0.4×	11 0.2×	36	507
David B. Schmidt	143 0.6×	46 0.3×	50 0.4×	44 0.6×	67 1.1×	16	632
Mark D. Jekanowski	272 1.1×	97 0.5×	107 0.8×	159 2.1×	30 0.5×	14	578
Peter Mitchell	52 0.2×	143 0.8×	67 0.5×	81 1.1×	79 1.3×	35	544
Andrew K.G. Tan	141 0.5×	42 0.2×	87 0.6×	59 0.8×	17 0.3×	44	564
Marcos Mora	168 0.7×	170 0.9×	104 0.7×	102 1.4×	71 1.2×	57	647

Countries citing papers authored by Nancy M. Childs

Since Specialization

Citations

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

Fields of papers citing papers by Nancy M. Childs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nancy M. Childs

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy M. Childs. A scholar is included among the top collaborators of Nancy M. Childs 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 Nancy M. Childs. Nancy M. Childs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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