Sarah Pugh

1.0k total citations
40 papers, 645 citations indexed

About

Sarah Pugh is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Epidemiology. According to data from OpenAlex, Sarah Pugh has authored 40 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Obstetrics and Gynecology, 15 papers in Pediatrics, Perinatology and Child Health and 14 papers in Epidemiology. Recurrent topics in Sarah Pugh's work include Gestational Diabetes Research and Management (15 papers), Pregnancy and preeclampsia studies (12 papers) and Birth, Development, and Health (11 papers). Sarah Pugh is often cited by papers focused on Gestational Diabetes Research and Management (15 papers), Pregnancy and preeclampsia studies (12 papers) and Birth, Development, and Health (11 papers). Sarah Pugh collaborates with scholars based in United States, United Kingdom and Canada. Sarah Pugh's co-authors include Lisa M. Bodnar, Jennifer A. Hutcheon, Katherine P. Himes, Katherine L. Grantz, Maria M. Brooks, Nancy L. Day, Gale A. Richardson, Paul S. Albert, Roger Newman and Deborah A. Wing and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Clinical Infectious Diseases.

In The Last Decade

Sarah Pugh

37 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Pugh United States 13 328 307 146 114 57 40 645
Roy K. Philip Ireland 14 176 0.5× 178 0.6× 125 0.9× 224 2.0× 44 0.8× 44 595
Jessica Liauw Canada 12 222 0.7× 311 1.0× 172 1.2× 88 0.8× 49 0.9× 40 615
Amarjargal Dagvadorj Japan 10 265 0.8× 328 1.1× 157 1.1× 120 1.1× 45 0.8× 17 608
Camille Bonnet France 7 201 0.6× 212 0.7× 132 0.9× 100 0.9× 39 0.7× 23 440
Sara Mazzoni United States 15 225 0.7× 205 0.7× 223 1.5× 194 1.7× 29 0.5× 46 614
Jacob L. Haapala United States 13 208 0.6× 177 0.6× 239 1.6× 154 1.4× 17 0.3× 30 663
Clare C. Brown United States 12 101 0.3× 131 0.4× 117 0.8× 58 0.5× 21 0.4× 67 494
Brooke Kinniburgh Canada 11 302 0.9× 353 1.1× 205 1.4× 60 0.5× 41 0.7× 20 572
Jill Diesel United States 9 179 0.5× 115 0.4× 96 0.7× 41 0.4× 13 0.2× 13 406
Ava Marie S. Conlin United States 13 111 0.3× 144 0.5× 154 1.1× 129 1.1× 14 0.2× 46 456

Countries citing papers authored by Sarah Pugh

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Pugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Pugh

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Pugh. A scholar is included among the top collaborators of Sarah Pugh 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 Sarah Pugh. Sarah Pugh 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.
2.
Gould, L. Hannah, John White, Valery Walker, et al.. (2024). Risk factors for Lyme disease among residents of rural, suburban, and urban areas in the United States: a case-control study. American Journal of Epidemiology. 194(8). 2287–2294. 3 indexed citations
3.
Hauber, Brett, Kathleen Beusterien, Amy Law, et al.. (2024). A latent class analysis of factors influencing preferences for infant respiratory syncytial virus (RSV) preventives among pregnant people in the United States. Human Vaccines & Immunotherapeutics. 20(1). 2358566–2358566. 8 indexed citations
4.
Pugh, Sarah, Caitlin B. Murray, & Cornelius B. Groenewald. (2023). Positive Childhood Experiences and Chronic Pain Among Children and Adolescents in the United States. Journal of Pain. 24(7). 1193–1202. 11 indexed citations
5.
Cocoros, Noelle M., Sheryl A. Kluberg, Bradford D. Gessner, et al.. (2023). Validation of Claims-Based Algorithm for Lyme Disease, Massachusetts, USA. Emerging infectious diseases. 29(9). 1772–1779. 8 indexed citations
6.
Mendelsohn, Aaron B., et al.. (2022). Healthcare claims-based Lyme disease case-finding algorithms in the United States: A systematic literature review. PLoS ONE. 17(10). e0276299–e0276299. 10 indexed citations
7.
Mendelsohn, Aaron B., et al.. (2021). 1200. Healthcare Claims-Based Lyme Disease Case-Finding Algorithms in the United States: A Systematic Literature Review. Open Forum Infectious Diseases. 8(Supplement_1). S691–S692. 2 indexed citations
8.
9.
Pugh, Sarah, Matt Wasserman, Mark H. Rozenbaum, et al.. (2020). Estimating the Impact of Switching from a Lower to Higher Valent Pneumococcal Conjugate Vaccine in Colombia, Finland, and The Netherlands: A Cost-Effectiveness Analysis. Infectious Diseases and Therapy. 9(2). 305–324. 12 indexed citations
10.
Pugh, Sarah, Ana M. Ortega‐Villa, William A. Grobman, et al.. (2019). Longitudinal changes in maternal anthropometry in relation to neonatal anthropometry. Public Health Nutrition. 22(5). 797–804. 11 indexed citations
11.
Mateus, Julio, Roger Newman, Cuilin Zhang, et al.. (2019). Fetal growth patterns in pregnancy-associated hypertensive disorders: NICHD Fetal Growth Studies. American Journal of Obstetrics and Gynecology. 221(6). 635.e1–635.e16. 30 indexed citations
12.
Bever, Alaina M., Sarah Pugh, Sungduk Kim, et al.. (2018). Fetal Growth Patterns in Pregnancies With First-Trimester Bleeding. Obstetrics and Gynecology. 131(6). 1021–1030. 8 indexed citations
13.
14.
Grantz, Katherine L., Sungduk Kim, William A. Grobman, et al.. (2018). Fetal growth velocity: the NICHD fetal growth studies. American Journal of Obstetrics and Gynecology. 219(3). 285.e1–285.e36. 62 indexed citations
15.
Pugh, Sarah, Paul S. Albert, Sungduk Kim, et al.. (2017). Patterns of gestational weight gain and birthweight outcomes in the Eunice Kennedy Shriver National Institute of Child Health and Human Development Fetal Growth Studies–Singletons: a prospective study. American Journal of Obstetrics and Gynecology. 217(3). 346.e1–346.e11. 44 indexed citations
16.
Wing, Deborah A., Ana M. Ortega‐Villa, William A. Grobman, et al.. (2017). Maternal stress and neonatal anthropometry: the NICHD Fetal Growth Studies. American Journal of Obstetrics and Gynecology. 217(1). 82.e1–82.e7. 11 indexed citations
17.
Bodnar, Lisa M., Sarah Pugh, Timothy L. Lash, et al.. (2016). Low Gestational Weight Gain and Risk of Adverse Perinatal Outcomes in Obese and Severely Obese Women. Epidemiology. 27(6). 894–902. 33 indexed citations
18.
Bodnar, Lisa M., W. Tony Parks, Sarah Pugh, et al.. (2015). Maternal prepregnancy obesity and cause-specific stillbirth. American Journal of Clinical Nutrition. 102(4). 858–864. 50 indexed citations
19.
Pugh, Sarah, Gale A. Richardson, Jennifer A. Hutcheon, et al.. (2015). Maternal Obesity and Excessive Gestational Weight Gain Are Associated with Components of Child Cognition1–3. Journal of Nutrition. 145(11). 2562–2569. 79 indexed citations
20.
Gamage, Bruce, et al.. (2008). Finding the gaps: An assessment of infection control surveillance needs in British Columbia acute care facilities. American Journal of Infection Control. 36(10). 706–710. 4 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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