Donna M. Slater

3.1k total citations
81 papers, 2.4k citations indexed

About

Donna M. Slater is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology. According to data from OpenAlex, Donna M. Slater has authored 81 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 27 papers in Public Health, Environmental and Occupational Health and 17 papers in Obstetrics and Gynecology. Recurrent topics in Donna M. Slater's work include Preterm Birth and Chorioamnionitis (32 papers), Pregnancy-related medical research (17 papers) and Inflammatory mediators and NSAID effects (15 papers). Donna M. Slater is often cited by papers focused on Preterm Birth and Chorioamnionitis (32 papers), Pregnancy-related medical research (17 papers) and Inflammatory mediators and NSAID effects (15 papers). Donna M. Slater collaborates with scholars based in Canada, United Kingdom and United States. Donna M. Slater's co-authors include Phillip R. Bennett, Robert Newton, Steven Thornton, William Dennes, Shirley Astle, Lucilla Poston, Gudrun E. Moore, Louise C. Berger, V.C. Allport and Suzanne Tough and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and The Journal of Physiology.

In The Last Decade

Donna M. Slater

79 papers receiving 2.4k citations

Peers

Countries citing papers authored by Donna M. Slater

Since Specialization

Citations

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

Fields of papers citing papers by Donna M. Slater

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donna M. Slater

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Machine learning for the prediction of spontaneous preterm birth using early second and third trimester maternal blood gene expression: A cautionary tale 2025 ·PLoS ONE ·(unknown), (unknown), Suzanne Tough, Stephen Wood, David W. Anderson, (unknown), Donna M. Slater	0
2	Maternal Acylcarnitine Disruption as a Potential Predictor of Preterm Birth in Primigravida: A Preliminary Investigation 2024 ·Nutrients ·(unknown), (unknown), (unknown), Donna M. Slater, Chunlong Mu, Suzanne Tough, Jane Shearer	1
3	Disrupting the Hierarchy: Mentoring Graduate Students as Co-educators 2022 ·(unknown), Donna M. Slater, (unknown), (unknown)	1
4	Social Media Recruitment Strategies to Recruit Pregnant Women Into a Longitudinal Observational Cohort Study: Usability Study 2022 ·Journal of Medical Internet Research ·(unknown), (unknown), Lara M. Leijser, Donna M. Slater, Amy Metcalfe	6
5	Maternal Metabolites Indicative of Mental Health Status during Pregnancy 2022 ·Metabolites ·(unknown), (unknown), (unknown), Donna M. Slater, Suzanne Tough, (unknown), Hans J. Vogel, Gerald F. Giesbrecht, Chunlong Mu, Jane Shearer	8
6	Is there a maternal blood biomarker that can predict spontaneous preterm birth prior to labour onset? A systematic review 2022 ·PLoS ONE ·(unknown), (unknown), Donna M. Slater	21
7	Second trimester cytokine profiles associated with gestational diabetes and hypertensive disorders of pregnancy 2022 ·PLoS ONE ·(unknown), (unknown), Natalie V. Scime, Suzanne Tough, Donna M. Slater, Kathleen H. Chaput	9
8	Prostaglandins in biofluids in pregnancy and labour: A systematic review 2021 ·PLoS ONE ·(unknown), (unknown), Donna M. Slater	12
9	Inquiry-Based Learning (IBL) as a Driver of Curriculum: A Staged Approach 2019 ·(unknown), Donna M. Slater, Ebba U. Kurz	8
10	Community-based participatory research to design a faith-enhanced diabetes prevention program: The Better Me Within randomized trial 2017 ·Contemporary Clinical Trials ·Heather Kitzman, (unknown), Abdullah Al Mamun, Joanne Slater, George A. King, Donna M. Slater, (unknown), (unknown), Mark J. DeHaven	14
11	Maternal Whole Blood Gene Expression at 18 and 28 Weeks of Gestation Associated with Spontaneous Preterm Birth in Asymptomatic Women 2016 ·PLoS ONE ·Yujing J. Heng, Craig E. Pennell, Sheila McDonald, Angela Vinturache, (unknown), (unknown), Laurent Briollais, Andrew W. Lyon, Donna M. Slater, Alan Bocking, Lawrence de Koning, David M. Olson, Siobhan M. Dolan, Suzanne Tough, Stephen J. Lye	52
12	STIM and Orai isoform expression in pregnant human myometrium: a potential role in calcium signaling during pregnancy 2014 ·Frontiers in Physiology ·Evonne Chin-Smith, Donna M. Slater, Mark R. Johnson, Rachel M. Tribe	16
13	Proliferative Action of the Androgen Receptor in Human Uterine Myometrial Cells—A Key Regulator for Myometrium Phenotype Programming 2012 ·The Journal of Clinical Endocrinology & Metabolism ·Liangliang Liu, Yun-Qing Li, Ning Xie, Oksana Shynlova, John Challis, Donna M. Slater, Stephen J. Lye, Xuesen Dong	21
14	Prostaglandin E2 Represses Interleukin 1 Beta-Induced Inflammatory Mediator Output from Pregnant Human Myometrial Cells Through the EP2 and EP4 Receptors1 2012 ·Biology of Reproduction ·(unknown), (unknown), Mark A. Giembycz, Stephen Wood, Donna M. Slater	17
15	Labour is associated with increased expression of type-IIA secretory phospholipase A2 but not type-IV cytosolic phospholipase A2 in human myometrium 2004 ·Molecular Human Reproduction ·Donna M. Slater, Shirley Astle, Phillip R. Bennett, Steven Thornton	19
16	IL‐1β and IL‐8 in Human Fetal Membranes: Changes with Gestational Age, Labor, and Culture Conditions 2001 ·American Journal of Reproductive Immunology ·Catherine Elliott, J. A. Z. Loudon, Nancy L. Brown, Donna M. Slater, Phillip R. Bennett, M.H.F. Sullivan	88
17	Region and Labour-dependent Synthesis of Prostaglandin E2 by Human Fetal Membranes 1999 ·Placenta ·Robert Sawdy, William Dennes, V.C. Allport, Donna M. Slater, M.G. Elder, M.H.F. Sullivan, Phillip R. Bennett	9
18	The Relative Abundance of Type 1 to Type 2 Cyclo-oxygenase mRNA in Human Amnion at Term 1994 ·Biochemical and Biophysical Research Communications ·Donna M. Slater, Louise C. Berger, Robert Newton, Gudrun E. Moore, Phillip R. Bennett	57
19	Expression of a common cellular phospholipase A2 by human intrauterine tissues 1993 ·Prostaglandins ·Phillip R. Bennett, Donna M. Slater, Philip Stanier, Gudrun E. Moore	7
20	Ultrastructure of melatonin-responsive cells in the ovine pars tuberalis 1991 ·Cell and Tissue Research ·Peter J. Morgan, T. P. King, Wilfred Lawson, Donna M. Slater, Gary Davidson	34

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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