Danielle G. Lemay

6.1k total citations
73 papers, 3.2k citations indexed

About

Danielle G. Lemay is a scholar working on Molecular Biology, Genetics and Nutrition and Dietetics. According to data from OpenAlex, Danielle G. Lemay has authored 73 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 28 papers in Genetics and 24 papers in Nutrition and Dietetics. Recurrent topics in Danielle G. Lemay's work include Gut microbiota and health (20 papers), Infant Nutrition and Health (18 papers) and Nutritional Studies and Diet (14 papers). Danielle G. Lemay is often cited by papers focused on Gut microbiota and health (20 papers), Infant Nutrition and Health (18 papers) and Nutritional Studies and Diet (14 papers). Danielle G. Lemay collaborates with scholars based in United States, Switzerland and China. Danielle G. Lemay's co-authors include J. Bruce German, David A. Mills, Daniel Hwang, Gaëlle Boudry, M. Kristina Hamilton, Helen E. Raybould, Jennifer T. Smilowitz, Carlito B. Lebrilla, Ian Korf and Hyung S. Youn and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Danielle G. Lemay

72 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle G. Lemay United States 26 1.4k 1.2k 652 565 493 73 3.2k
Isabelle Le Huërou‐Luron France 36 1.4k 1.0× 1.6k 1.3× 406 0.6× 353 0.6× 538 1.1× 126 4.4k
Mei Wang United States 31 2.2k 1.6× 1.1k 0.9× 538 0.8× 491 0.9× 670 1.4× 79 3.9k
Gaëlle Boudry France 27 1.1k 0.8× 812 0.7× 234 0.4× 275 0.5× 408 0.8× 68 2.8k
Robert E. Ward United States 28 2.4k 1.7× 1.5k 1.2× 574 0.9× 583 1.0× 793 1.6× 83 4.6k
Peter Kappel Theil Denmark 36 1.1k 0.8× 929 0.8× 582 0.9× 220 0.4× 373 0.8× 178 4.8k
Łukasz Krych Denmark 35 2.3k 1.7× 844 0.7× 482 0.7× 255 0.5× 797 1.6× 109 4.0k
Zhengfeng Fang China 36 1.5k 1.1× 910 0.7× 244 0.4× 186 0.3× 683 1.4× 281 4.8k
Björn Weström Sweden 34 1.5k 1.1× 1.3k 1.0× 670 1.0× 360 0.6× 427 0.9× 196 4.9k
Steven Vanhoutvin Netherlands 15 1.9k 1.3× 598 0.5× 430 0.7× 222 0.4× 573 1.2× 23 3.2k
Jack Odle United States 45 1.8k 1.3× 2.0k 1.7× 737 1.1× 369 0.7× 409 0.8× 197 6.6k

Countries citing papers authored by Danielle G. Lemay

Since Specialization
Citations

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

Fields of papers citing papers by Danielle G. Lemay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle G. Lemay. 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 Danielle G. Lemay. The network helps show where Danielle G. Lemay may publish in the future.

Co-authorship network of co-authors of Danielle G. Lemay

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle G. Lemay. A scholar is included among the top collaborators of Danielle G. Lemay 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 Danielle G. Lemay. Danielle G. Lemay 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
1.
Couture, Garret, Jennifer T. Smilowitz, J. Bruce German, et al.. (2025). Development of a comprehensive food glycomic database and its application: Associations between dietary carbohydrates and insulin resistance. Food Chemistry. 473. 142977–142977.
2.
Oliver, Andrew, Zeynep Alkan, Charles B. Stephensen, et al.. (2024). Diet, Microbiome, and Inflammation Predictors of Fecal and Plasma Short-Chain Fatty Acids in Humans. Journal of Nutrition. 154(11). 3298–3311. 8 indexed citations
3.
Wilson, Stephanie, et al.. (2024). Lower Diet Quality Associated with Subclinical Gastrointestinal Inflammation in Healthy United States Adults. Journal of Nutrition. 154(4). 1449–1460. 5 indexed citations
4.
Storms, David H., Andrew D. Magnuson, D.L. Van Hekken, et al.. (2023). Associations among Milk Microbiota, Milk Fatty Acids, Milk Glycans, and Inflammation from Lactating Holstein Cows. Microbiology Spectrum. 11(3). e0402022–e0402022. 1 indexed citations
5.
Chin, Elizabeth L., et al.. (2023). Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment. Nutrients. 15(23). 4972–4972. 5 indexed citations
6.
Chin, Elizabeth L., et al.. (2023). No Associations between Dairy Intake and Markers of Gastrointestinal Inflammation in Healthy Adult Cohort. Nutrients. 15(16). 3504–3504. 3 indexed citations
7.
Castillo, Juan J., Garret Couture, Ye Chen, et al.. (2022). Dietary Intake of Monosaccharides from Foods is Associated with Characteristics of the Gut Microbiota and Gastrointestinal Inflammation in Healthy US Adults. Journal of Nutrition. 153(1). 106–119. 17 indexed citations
8.
Lemay, Danielle G., et al.. (2022). Dietary Fiber to Starch Ratio Affects Bovine Milk Oligosaccharide Profiles. Current Developments in Nutrition. 6(6). nzac033–nzac033. 5 indexed citations
9.
Trott, Josephine F., A. Schennink, Danielle G. Lemay, et al.. (2021). Unique Transcriptomic Changes Underlie Hormonal Interactions During Mammary Histomorphogenesis in Female Pigs. Endocrinology. 163(3). 3 indexed citations
10.
Chin, Elizabeth L., Marta Van Loan, Ellen L. Bonnel, et al.. (2021). Machine Learning Identifies Stool pH as a Predictor of Bone Mineral Density in Healthy Multiethnic US Adults. Journal of Nutrition. 151(11). 3379–3390. 3 indexed citations
11.
Liu, Jinxin, Diana H. Taft, María X. Maldonado-Gómez, et al.. (2019). The fecal resistome of dairy cattle is associated with diet during nursing. Nature Communications. 10(1). 4406–4406. 132 indexed citations
12.
Lewis, Zachery T., Ketevan Sidamonidze, Astghik Pepoyan, et al.. (2017). The Fecal Microbial Community of Breast-fed Infants from Armenia and Georgia. Scientific Reports. 7(1). 40932–40932. 26 indexed citations
13.
Westreich, Samuel T., Ian Korf, David A. Mills, & Danielle G. Lemay. (2016). SAMSA: a comprehensive metatranscriptome analysis pipeline. BMC Bioinformatics. 17(1). 399–399. 34 indexed citations
14.
Lewis, Zachery T., Sarah M. Totten, Jennifer T. Smilowitz, et al.. (2015). Maternal fucosyltransferase 2 status affects the gut bifidobacterial communities of breastfed infants. Microbiome. 3(1). 13–13. 303 indexed citations
15.
Grapov, Dmitry, Danielle G. Lemay, Darren Weber, et al.. (2014). The Human Colostrum Whey Proteome Is Altered in Gestational Diabetes Mellitus. Journal of Proteome Research. 14(1). 512–520. 34 indexed citations
16.
Lemay, Danielle G., David J. Lynn, William Martin, et al.. (2009). The bovine lactation genome: insights into the evolution of mammalian milk. Genome biology. 10(4). R43–R43. 148 indexed citations
17.
Lemay, Danielle G., Monique Rijnkels, & J. Bruce German. (2009). Lessons from the Bovine Genome: Implications for Human Nutrition and Research. Journal of Nutrition. 139(7). 1271–1272. 2 indexed citations
18.
Argov, Nurit, Danielle G. Lemay, & J. Bruce German. (2008). Milk fat globule structure and function: nanoscience comes to milk production. Trends in Food Science & Technology. 19(12). 617–623. 82 indexed citations
19.
Lemay, Danielle G., Margaret Neville, Michael C. Rudolph, Katherine S. Pollard, & J. Bruce German. (2007). Gene regulatory networks in lactation: identification of global principles using bioinformatics. BMC Systems Biology. 1(1). 56–56. 100 indexed citations
20.
Lee, Joo Young, et al.. (2005). Saturated and Polyunsaturated Fatty Acids Reciprocally Modulate Dendritic Cell Functions Mediated through TLR4. The Journal of Immunology. 174(9). 5390–5397. 242 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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