Natalie Williams

725 total citations
16 papers, 467 citations indexed

About

Natalie Williams is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Molecular Biology. According to data from OpenAlex, Natalie Williams has authored 16 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 5 papers in Physiology and 4 papers in Molecular Biology. Recurrent topics in Natalie Williams's work include Nutritional Studies and Diet (7 papers), Diet and metabolism studies (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Natalie Williams is often cited by papers focused on Nutritional Studies and Diet (7 papers), Diet and metabolism studies (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Natalie Williams collaborates with scholars based in Canada, Egypt and United States. Natalie Williams's co-authors include Genevieve A. Metzger, Jennifer Elliott, Graham Williams, David G. Jenkins, Christina M Trexler, Raymond R. Carthy, Karen A. Bjorndal, Margaret M. Lamont, Russell J. de Souza and Sonia S. Anand and has published in prestigious journals such as PLoS ONE, Journal of Lipid Research and Nutrients.

In The Last Decade

Natalie Williams

15 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalie Williams Canada 8 223 168 92 88 67 16 467
Catherine Ravenscroft United States 8 129 0.6× 302 1.8× 137 1.5× 111 1.3× 15 0.2× 9 555
Kent A. Hatch United States 14 489 2.2× 95 0.6× 128 1.4× 27 0.3× 33 0.5× 40 626
Zachary M. Laubach United States 12 174 0.8× 42 0.3× 54 0.6× 22 0.3× 98 1.5× 22 489
Isabel Rey Spain 14 228 1.0× 22 0.1× 82 0.9× 26 0.3× 68 1.0× 67 633
Webb United Kingdom 6 97 0.4× 207 1.2× 174 1.9× 93 1.1× 39 0.6× 13 493
Eva M. Raebel United Kingdom 8 186 0.8× 143 0.9× 28 0.3× 107 1.2× 11 0.2× 10 320
Derek Craighead United States 14 342 1.5× 44 0.3× 51 0.6× 35 0.4× 48 0.7× 27 497
Valentina Franco‐Trecu Uruguay 18 623 2.8× 128 0.8× 234 2.5× 14 0.2× 40 0.6× 55 837
Katherine L. Bell United States 11 170 0.8× 218 1.3× 233 2.5× 53 0.6× 58 0.9× 24 645
Shannon P. O’Grady United States 12 305 1.4× 23 0.1× 33 0.4× 14 0.2× 80 1.2× 15 489

Countries citing papers authored by Natalie Williams

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Williams

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

All Works

16 of 16 papers shown
1.
Azab, Sandi M., Sujane Kandasamy, Gita Wahi, et al.. (2024). Understanding the impact of maternal and infant nutrition on infant/child health: multiethnic considerations, knowledge translation, and future directions for equitable health research. Applied Physiology Nutrition and Metabolism. 49(9). 1271–1278.
2.
Rafiq, Talha, Jennifer C. Stearns, Meera Shanmuganathan, et al.. (2023). Integrative multiomics analysis of infant gut microbiome and serum metabolome reveals key molecular biomarkers of early onset childhood obesity. Heliyon. 9(6). e16651–e16651. 10 indexed citations
3.
Azab, Sandi M., Meera Shanmuganathan, Russell J. de Souza, et al.. (2023). Early sex-dependent differences in metabolic profiles of overweight and adiposity in young children: a cross-sectional analysis. BMC Medicine. 21(1). 176–176. 7 indexed citations
5.
Wahi, Gita, Julie Wilson, Stephanie M. George, et al.. (2022). Impact of Maternal Health Behaviours and Social Conditions on Infant Diet at Age 1-Year: Results from a Prospective Indigenous Birth Cohort in Ontario, Canada. Nutrients. 14(9). 1736–1736. 3 indexed citations
6.
Garner, Stephanie, Natalie Williams, James Douketis, et al.. (2022). Impact of the COVID-19 Pandemic on Clinical Practice and Work–Life Integration Experienced by Academic Medical Faculty. 17(2). 22–32. 2 indexed citations
7.
Azab, Sandi M., Russell J. de Souza, Amel Lamri, et al.. (2021). Metabolite profiles and the risk of metabolic syndrome in early childhood: a case-control study. BMC Medicine. 19(1). 292–292. 15 indexed citations
8.
Souza, Russell J. de, Meera Shanmuganathan, Amel Lamri, et al.. (2020). Maternal Diet and the Serum Metabolome in Pregnancy: Robust Dietary Biomarkers Generalizable to a Multiethnic Birth Cohort. Current Developments in Nutrition. 4(10). nzaa144–nzaa144. 27 indexed citations
9.
Souza, Russell J. de, Natalie Williams, Gita Wahi, et al.. (2020). Validity and Reproducibility of a Semi-Quantitative Food-Frequency Questionnaire Designed to Measure the Nutrient Intakes of Canadian South Asian Infants at 12 Months of Age. Canadian Journal of Dietetic Practice and Research. 81(4). 170–178. 2 indexed citations
10.
Azab, Sandi M., Russell J. de Souza, Koon Teo, et al.. (2020). Serum nonesterified fatty acids have utility as dietary biomarkers of fat intake from fish, fish oil, and dairy in women. Journal of Lipid Research. 61(6). 933–944. 27 indexed citations
11.
Zulyniak, Michael A., Russell J. de Souza, Mateen Shaikh, et al.. (2020). Ethnic differences in maternal diet in pregnancy and infant eczema. PLoS ONE. 15(5). e0232170–e0232170. 12 indexed citations
12.
Souza, Russell J. de, Ramandeep Singh Arora, Lise Gauvin, et al.. (2018). Development of an on-line interactive map to display environmental health assessments of Canadian communities: knowledge-translation to support collaborations for health. Cities & Health. 2(2). 123–129. 4 indexed citations
13.
Souza, Russell J. de, Lise Gauvin, Natalie Williams, et al.. (2018). Environmental health assessment of communities across Canada: contextual factors study of the Canadian Alliance for Healthy Hearts and Minds. Cities & Health. 2(2). 163–180. 7 indexed citations
14.
Ejembi, Clara Ladi, et al.. (2014). Community-level distribution of misoprostol to prevent postpartum hemorrhage at home births in northern Nigeria.. PubMed. 18(2). 166–75. 16 indexed citations
15.
Williams, Natalie, Karen A. Bjorndal, Margaret M. Lamont, & Raymond R. Carthy. (2013). Winter Diets of Immature Green Turtles (Chelonia mydas) on a Northern Feeding Ground: Integrating Stomach Contents and Stable Isotope Analyses. Estuaries and Coasts. 37(4). 986–994. 40 indexed citations
16.
Jenkins, David G., Jennifer Elliott, Genevieve A. Metzger, et al.. (2007). Does size matter for dispersal distance?. Global Ecology and Biogeography. 16(4). 415–425. 291 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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