Shay M. Daily

37 total papers · 524 total citations
23 papers, 305 citations indexed

About

Shay M. Daily is a scholar working on Public Health, Environmental and Occupational Health, Clinical Psychology and Education. According to data from OpenAlex, Shay M. Daily has authored 23 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Public Health, Environmental and Occupational Health, 6 papers in Clinical Psychology and 6 papers in Education. Recurrent topics in Shay M. Daily's work include Early Childhood Education and Development (6 papers), Obesity, Physical Activity, Diet (5 papers) and Urban Transport and Accessibility (5 papers). Shay M. Daily is often cited by papers focused on Early Childhood Education and Development (6 papers), Obesity, Physical Activity, Diet (5 papers) and Urban Transport and Accessibility (5 papers). Shay M. Daily collaborates with scholars based in United States, Iceland and Romania. Shay M. Daily's co-authors include Álfgeir L. Kristjánsson, Michael J. Mann, Megan L. Smith, Keith J. Zullig, Christa L. Lilly, Christiaan G. Abildso, Danielle M. Davidov, Thomas K. Bias, E. Scott Huebner and M. Renée Umstattd Meyer and has published in prestigious journals such as International Journal of Environmental Research and Public Health, BMC Public Health and American Journal of Transplantation.

In The Last Decade

Shay M. Daily

20 papers receiving 293 citations

Author Peers

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

Author						Papers	Cites
Shay M. Daily	128	84	69	46	44	23	305
Anne Guèvremont	89 0.7×	76 0.9×	50 0.7×	38 0.8×	14 0.3×	23	335
Nancy M. H. Pontes	71 0.6×	125 1.5×	110 1.6×	41 0.9×	17 0.4×	31	323
Henriette Kyrrestad	59 0.5×	79 0.9×	55 0.8×	19 0.4×	81 1.8×	25	233
Kristin J. Perry	51 0.4×	131 1.6×	98 1.4×	41 0.9×	16 0.4×	32	268
Emily Marchant	56 0.4×	61 0.7×	57 0.8×	62 1.3×	24 0.5×	22	255
Lindsay Borden	60 0.5×	151 1.8×	45 0.7×	38 0.8×	83 1.9×	18	285
Lisa McKay‐Brown	74 0.6×	163 1.9×	60 0.9×	47 1.0×	24 0.5×	25	282
Viviane S. Straatmann	59 0.5×	146 1.7×	41 0.6×	82 1.8×	26 0.6×	34	346
Na Youn Lee	62 0.5×	152 1.8×	117 1.7×	34 0.7×	14 0.3×	18	300
Beth Baldwin Tigges	37 0.3×	66 0.8×	56 0.8×	76 1.7×	27 0.6×	33	271

Countries citing papers authored by Shay M. Daily

Since Specialization

Citations

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

Fields of papers citing papers by Shay M. Daily

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shay M. Daily

This figure shows the co-authorship network connecting the top 25 collaborators of Shay M. Daily. A scholar is included among the top collaborators of Shay M. Daily 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 Shay M. Daily. Shay M. Daily 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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