Mollie E. Wood

1.5k total citations
67 papers, 886 citations indexed

About

Mollie E. Wood is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, Mollie E. Wood has authored 67 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Public Health, Environmental and Occupational Health, 27 papers in Pediatrics, Perinatology and Child Health and 25 papers in Obstetrics and Gynecology. Recurrent topics in Mollie E. Wood's work include Maternal Mental Health During Pregnancy and Postpartum (22 papers), Pregnancy and Medication Impact (20 papers) and Pregnancy and preeclampsia studies (15 papers). Mollie E. Wood is often cited by papers focused on Maternal Mental Health During Pregnancy and Postpartum (22 papers), Pregnancy and Medication Impact (20 papers) and Pregnancy and preeclampsia studies (15 papers). Mollie E. Wood collaborates with scholars based in United States, Norway and United Kingdom. Mollie E. Wood's co-authors include Hedvig Nordeng, Ryan A. Black, Emil Chiauzzi, Kevin L. Zacharoff, Eivind Ystrøm, Kate L. Lapane, Angela Lupattelli, Marleen M. H. J. van Gelder, Jonas Bromberg and Hedvig Nordeng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Mollie E. Wood

56 papers receiving 860 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mollie E. Wood United States 16 399 230 176 141 107 67 886
Aliza Weinrib Canada 19 269 0.7× 214 0.9× 89 0.5× 39 0.3× 195 1.8× 29 1.1k
Lesley Stafford Australia 21 219 0.5× 304 1.3× 138 0.8× 43 0.3× 58 0.5× 69 1.4k
Barbara M. Foster United States 12 299 0.7× 476 2.1× 117 0.7× 38 0.3× 157 1.5× 17 965
Ariadna Forray United States 20 778 1.9× 551 2.4× 85 0.5× 265 1.9× 76 0.7× 47 1.3k
M A Mannan Bangladesh 11 435 1.1× 315 1.4× 52 0.3× 353 2.5× 24 0.2× 19 1.1k
Bettina Berger Germany 16 154 0.4× 99 0.4× 108 0.6× 59 0.4× 83 0.8× 71 742
Lester Arguelles United States 23 174 0.4× 125 0.5× 146 0.8× 65 0.5× 153 1.4× 51 1.3k
Johan Reutfors Sweden 24 535 1.3× 333 1.4× 762 4.3× 103 0.7× 326 3.0× 91 1.9k
Jaume Aguado Spain 22 247 0.6× 101 0.4× 609 3.5× 79 0.6× 318 3.0× 50 1.4k
Ragnhild Eek Brandlistuen Norway 16 433 1.1× 482 2.1× 117 0.7× 124 0.9× 23 0.2× 54 1.1k

Countries citing papers authored by Mollie E. Wood

Since Specialization
Citations

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

Fields of papers citing papers by Mollie E. Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mollie E. Wood. 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 Mollie E. Wood. The network helps show where Mollie E. Wood may publish in the future.

Co-authorship network of co-authors of Mollie E. Wood

This figure shows the co-authorship network connecting the top 25 collaborators of Mollie E. Wood. A scholar is included among the top collaborators of Mollie E. Wood 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 Mollie E. Wood. Mollie E. Wood 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.
Austin, Anna E., et al.. (2025). Impact of Increasing Midwifery‐Led Prenatal Care on Birth Outcomes: An Application of the g‐Formula and Target Trial Emulation. Paediatric and Perinatal Epidemiology. 40(2). 234–244.
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Engel, Stephanie M., et al.. (2025). Periconceptional Hormonal Contraception Use and Autism Spectrum Disorder in the Study to Explore Early Development. Paediatric and Perinatal Epidemiology.
5.
Robinson, Whitney R., et al.. (2025). Facilitators and barriers to acceptability of a biopsy-first approach in the diagnostic evaluation for endometrial cancer among Black women. American Journal of Obstetrics and Gynecology. 233(4). 294.e1–294.e11.
6.
Pavlović, Milena, Chakravarthi Kanduri, Johan Pensar, et al.. (2024). Improving generalization of machine learning-identified biomarkers using causal modelling with examples from immune receptor diagnostics. Nature Machine Intelligence. 6(1). 15–24. 10 indexed citations
7.
Olawore, Oluwasolape, et al.. (2024). Defining, Measuring, and Evaluating Prenatal Care in Insurance Claims Data. Current Epidemiology Reports. 11(1). 73–83. 1 indexed citations
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Petersen, Julie M., Nedghie Adrien, Mollie E. Wood, et al.. (2023). Bias analyses to investigate the impact of differential participation: Application to a birth defects case‐control study. Paediatric and Perinatal Epidemiology. 38(6). 535–543.
10.
Kucirka, Lauren M., Ana M. Angarita, Tracy A. Manuck, et al.. (2023). Characteristics and Outcomes of Patients With Pregnancy-Related End-Stage Kidney Disease. JAMA Network Open. 6(12). e2346314–e2346314. 2 indexed citations
11.
Wood, Mollie E., Szu‐Ta Chen, Krista F. Huybrechts, et al.. (2021). Validation of a Claims-based Algorithm to Identify Pregestational Diabetes Among Pregnant Women in the United States. Epidemiology. 32(6). 855–859. 9 indexed citations
12.
Wood, Mollie E., et al.. (2020). Modeling exposures of medications used episodically during pregnancy: Triptans as a motivating example. Pharmacoepidemiology and Drug Safety. 29(9). 1111–1119. 7 indexed citations
13.
Mahic, Milada, Sonia Hernández–Dı́az, Mollie E. Wood, et al.. (2020). In utero opioid exposure and risk of infections in childhood: A multinational Nordic cohort study. Pharmacoepidemiology and Drug Safety. 29(12). 1596–1604. 5 indexed citations
14.
Wood, Mollie E., et al.. (2018). Prenatal triptan exposure and neurodevelopmental outcomes in 5‐year‐old children: Follow‐up from the Norwegian Mother and Child Cohort Study. Paediatric and Perinatal Epidemiology. 32(3). 247–255. 11 indexed citations
15.
Cohen, Jacqueline M., Mollie E. Wood, Sonia Hernández–Dı́az, & Hedvig Nordeng. (2018). Agreement between paternal self‐reported medication use and records from a national prescription database. Pharmacoepidemiology and Drug Safety. 27(4). 413–421. 14 indexed citations
16.
Domańska, Diana, et al.. (2017). Complex patterns of concomitant medication use: A study among Norwegian women using paracetamol during pregnancy. PLoS ONE. 12(12). e0190101–e0190101. 13 indexed citations
17.
Wood, Mollie E., Jean A. Frazier, Hedvig Nordeng, & Kate L. Lapane. (2016). Longitudinal changes in neurodevelopmental outcomes between 18 and 36 months in children with prenatal triptan exposure: findings from the Norwegian Mother and Child Cohort Study. BMJ Open. 6(9). e011971–e011971. 9 indexed citations
18.
Maloney, Ann E., et al.. (2012). Can Dance Exergames Boost Physical Activity as a School-Based Intervention?. Games for Health Journal. 1(6). 416–421. 12 indexed citations
19.
Bromberg, Jonas, et al.. (2011). A Randomized Trial of a Web‐Based Intervention to Improve Migraine Self‐Management and Coping. Headache The Journal of Head and Face Pain. 52(2). 244–261. 96 indexed citations
20.

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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