Sara Egan

913 total citations
10 papers, 748 citations indexed

About

Sara Egan is a scholar working on Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health and Pollution. According to data from OpenAlex, Sara Egan has authored 10 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health, Toxicology and Mutagenesis, 4 papers in Public Health, Environmental and Occupational Health and 2 papers in Pollution. Recurrent topics in Sara Egan's work include Nutritional Studies and Diet (4 papers), Chemical Analysis and Environmental Impact (3 papers) and Heavy Metal Exposure and Toxicity (2 papers). Sara Egan is often cited by papers focused on Nutritional Studies and Diet (4 papers), Chemical Analysis and Environmental Impact (3 papers) and Heavy Metal Exposure and Toxicity (2 papers). Sara Egan collaborates with scholars based in United States, Switzerland and Canada. Sara Egan's co-authors include James T. Heimbach, Leila M. Barraj, Henry Kim, David B. Allison, Clark D. Carrington, Jean A.T. Pennington, P. Michael Bolger, Suzanne Harris, P.M. Kris-Etherton and Satya S. Jonnalagadda and has published in prestigious journals such as Chemosphere, Journal of Nutrition and Food Additives & Contaminants.

In The Last Decade

Sara Egan

10 papers receiving 710 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sara Egan United States	8	335	279	141	132	122	10	748
Helena Bjermo Sweden	12	282 0.8×	263 0.9×	163 1.2×	141 1.1×	76 0.6×	20	948
Chun Fa Huang Taiwan	8	403 1.2×	192 0.7×	50 0.4×	42 0.3×	61 0.5×	10	703
M. Rodamilans Spain	19	341 1.0×	119 0.4×	58 0.4×	27 0.2×	91 0.7×	44	938
Patrick F. Miller United Kingdom	13	315 0.9×	151 0.5×	28 0.2×	71 0.5×	208 1.7×	17	838
Lynn C. Wilder United States	6	1.1k 3.4×	136 0.5×	59 0.4×	164 1.2×	254 2.1×	15	1.7k
Alessandra Simão Padilha Brazil	17	542 1.6×	293 1.1×	56 0.4×	43 0.3×	86 0.7×	46	919
Elisa Polledri Italy	21	387 1.2×	77 0.3×	194 1.4×	80 0.6×	145 1.2×	65	1.0k
Etsuko Oguma Japan	16	486 1.5×	347 1.2×	79 0.6×	229 1.7×	243 2.0×	25	1.2k
Helena Skröder Sweden	16	471 1.4×	271 1.0×	45 0.3×	90 0.7×	123 1.0×	26	748
Cecilia Nälsén Sweden	16	249 0.7×	549 2.0×	335 2.4×	418 3.2×	59 0.5×	21	1.6k

Countries citing papers authored by Sara Egan

Since Specialization

Citations

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

Fields of papers citing papers by Sara Egan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Egan

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

All Works

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10 of 10 papers shown

1.

Egan, Sara, et al.. (2014). Really Complete Streets. 80(9). 1 indexed citations

2.

Yang, Yuching, Yu‐Mei Tan, Benjamin C. Blount, et al.. (2012). Using a physiologically based pharmacokinetic model to link urinary biomarker concentrations to dietary exposure of perchlorate. Chemosphere. 88(8). 1019–1027. 7 indexed citations

3.

Swanson, Christine A., Michael Zimmermann, Sheila Skeaff, et al.. (2012). Summary of an NIH Workshop to Identify Research Needs to Improve the Monitoring of Iodine Status in the United States and to Inform the DRI. Journal of Nutrition. 142(6). 1175S–1185S. 37 indexed citations

4.

Egan, Sara, et al.. (2008). US Food and Drug Administration's Total Diet Study: Dietary intake of perchlorate and iodine. Journal of Exposure Science & Environmental Epidemiology. 18(6). 571–580. 180 indexed citations

5.

Egan, Sara, et al.. (2007). Update of US FDA's Total Diet Study food list and diets. Journal of Exposure Science & Environmental Epidemiology. 17(6). 573–582. 96 indexed citations

6.

Yost, Lisa J., Sara Egan, Leila M. Barraj, et al.. (2004). Estimation of Dietary Intake of Inorganic Arsenic in U.S. Children. Human and Ecological Risk Assessment An International Journal. 10(3). 473–483. 73 indexed citations

7.

Egan, Sara, et al.. (2002). US Food and Drug Administration's Total Diet Study: intake of nutritional and toxic elements, 1991–96. Food Additives & Contaminants. 19(2). 103–125. 92 indexed citations

8.

Allison, David B., et al.. (1999). Estimated Intakes of Trans Fatty and Other Fatty Acids in the US Population. Journal of the American Dietetic Association. 99(2). 166–174. 209 indexed citations

9.

Egan, Sara & J.T. Heimbach. (1995). Determining acceptability of databases for nutrition labeling. 1 indexed citations

10.

Jonnalagadda, Satya S., Sara Egan, James T. Heimbach, Suzanne Harris, & P.M. Kris-Etherton. (1995). Fatty acid consumption pattern of Americans: 1987–1988 USDA Nationwide Food Consumption Survey. Nutrition Research. 15(12). 1767–1781. 52 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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