Shauna Williams

473 total citations
40 papers, 272 citations indexed

About

Shauna Williams is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Epidemiology. According to data from OpenAlex, Shauna Williams has authored 40 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Obstetrics and Gynecology, 14 papers in Pediatrics, Perinatology and Child Health and 10 papers in Epidemiology. Recurrent topics in Shauna Williams's work include Maternal and Perinatal Health Interventions (9 papers), Pregnancy and preeclampsia studies (8 papers) and Maternal and fetal healthcare (7 papers). Shauna Williams is often cited by papers focused on Maternal and Perinatal Health Interventions (9 papers), Pregnancy and preeclampsia studies (8 papers) and Maternal and fetal healthcare (7 papers). Shauna Williams collaborates with scholars based in United States, Canada and Singapore. Shauna Williams's co-authors include Joseph J. Apuzzio, Pranela Rameshwar, Lauren S. Sherman, Lisa Gittens‐Williams, R.S. Suidan, Jesús Román Martínez Álvarez, Adam J. Fechner, Vijaya Ganesh, Arlene Bardeguez and Linda Bettica and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Obstetrics and Gynecology and Obstetrics and Gynecology.

In The Last Decade

Shauna Williams

35 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shauna Williams United States 10 108 83 79 76 32 40 272
Ariel Iván Ruíz‐Parra Colombia 12 136 1.3× 114 1.4× 88 1.1× 47 0.6× 30 0.9× 35 429
Michael E. Tsimis United States 7 73 0.7× 89 1.1× 124 1.6× 57 0.8× 21 0.7× 12 300
Monika Bajaj United States 12 33 0.3× 166 2.0× 98 1.2× 42 0.6× 24 0.8× 40 382
Mark C. Maberry United States 12 56 0.5× 126 1.5× 119 1.5× 94 1.2× 25 0.8× 20 468
Neerja Goel India 12 135 1.3× 81 1.0× 143 1.8× 115 1.5× 28 0.9× 59 434
Panyu Panburana Thailand 15 208 1.9× 171 2.1× 70 0.9× 90 1.2× 77 2.4× 42 643
Laura D’Emidio Italy 13 53 0.5× 154 1.9× 58 0.7× 80 1.1× 57 1.8× 23 400
Véronique Houfflin‐Debarge France 13 59 0.5× 233 2.8× 40 0.5× 37 0.5× 16 0.5× 34 421
Amy Pan United States 9 26 0.2× 39 0.5× 35 0.4× 22 0.3× 61 1.9× 53 271
Melissa Mancuso United States 11 229 2.1× 255 3.1× 106 1.3× 193 2.5× 13 0.4× 29 421

Countries citing papers authored by Shauna Williams

Since Specialization
Citations

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

Fields of papers citing papers by Shauna Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shauna Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Shauna Williams. A scholar is included among the top collaborators of Shauna 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 Shauna Williams. Shauna Williams 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.
Barua, Souptik, Vanessa M. Martinez Kercher, Christina A. Penfield, et al.. (2025). A Machine Learning Framework to Quantify Postprandial Glucose Responses in Gestational Diabetes. 1(1). 12–17.
3.
Sherman, Lauren S., et al.. (2022). Aspirin-Mediated Reset of Preeclamptic Placental Stem Cell Transcriptome – Implication for Stabilized Placental Function. Stem Cell Reviews and Reports. 18(8). 3066–3082. 4 indexed citations
4.
Apuzzio, Joseph J., et al.. (2020). Maternal morbidity after early preterm delivery (23–28 weeks). American Journal of Obstetrics & Gynecology MFM. 2(3). 100125–100125. 9 indexed citations
5.
Williams, Shauna, et al.. (2020). Factors associated with attendance at the postpartum blood pressure visit in pregnancies complicated by hypertension. Pregnancy Hypertension. 22. 216–219. 12 indexed citations
6.
Williams, Shauna, et al.. (2020). Evaluation and Treatment of Cardiac Tamponade in a Pregnant Patient. Case Reports in Obstetrics and Gynecology. 2020(1). 8703980–8703980. 3 indexed citations
7.
Williams, Shauna, et al.. (2019). Thrombocytopenia in Pregnancy. 39(4). 1–5. 3 indexed citations
8.
Sherman, Lauren S., et al.. (2019). Mesenchymal stem cell therapies in brain disease. Seminars in Cell and Developmental Biology. 95. 111–119. 39 indexed citations
9.
Gittens‐Williams, Lisa, et al.. (2017). Salmonella enterica Serotype Typhi Bacteremia Complicating Pregnancy in the Third Trimester. Case Reports in Obstetrics and Gynecology. 2017(1). 4018096–4018096. 6 indexed citations
10.
Williams, Shauna, et al.. (2017). Genital tract GBS and rate of histologic chorioamnionitis in patients with preterm premature rupture of membrane. The Journal of Maternal-Fetal & Neonatal Medicine. 31(19). 2624–2627. 8 indexed citations
11.
Zamudio, Stacy, et al.. (2015). Patient Awareness of Untoward Effects of Smoking on Fetal and Maternal Well-being During Pregnancy. Journal of Addiction Medicine. 9(3). 211–216. 3 indexed citations
12.
Williams, Shauna, et al.. (2013). Do Protease Inhibitors Increase Preterm Births in Human Immunodeficiency Virus-Infected Patients?. Advances in Infectious Diseases. 3(3). 172–176. 1 indexed citations
13.
Williams, Shauna, Michael Ross, Marie H. Beall, Joseph J. Apuzzio, & Diana Wolfe. (2013). Does Preeclampsia Predict the Risk of Late Postpartum Eclampsia?. SHILAP Revista de lepidopterología. 3(1). 13–16. 3 indexed citations
14.
Williams, Shauna, et al.. (2013). Does genital tract GBS colonization affect the latency period in patients with preterm premature rupture of membranes not in labor prior to 34 weeks?. The Journal of Maternal-Fetal & Neonatal Medicine. 27(4). 338–341. 7 indexed citations
15.
Suidan, R.S., Joseph J. Apuzzio, & Shauna Williams. (2012). Obesity, Comorbidities, and the Cesarean Delivery Rate. American Journal of Perinatology. 29(8). 623–628. 9 indexed citations
16.
Williams, Shauna, et al.. (2011). Ertapenem compared to combination drug therapy for the treatment of postpartum endometritis after cesarean delivery. The Journal of Maternal-Fetal & Neonatal Medicine. 25(6). 743–746. 6 indexed citations
17.
Williams, Shauna, et al.. (2011). Global protein synthesis in human trophoblast is resistant to inhibition by hypoxia. Placenta. 33(1). 31–38. 12 indexed citations
18.
Fechner, Adam J., et al.. (2009). Asymptomatic Bacteriuria in Pregestational Diabetic Pregnancies and the Role of Group B Streptococcus. American Journal of Perinatology. 27(3). 231–234. 31 indexed citations
19.
Williams, Shauna, Jesús Román Martínez Álvarez, Hélio Pedro, & Joseph J. Apuzzio. (2008). Glutaric Aciduria Type II and Narcolepsy in Pregnancy. Obstetrics and Gynecology. 111(2). 522–524. 13 indexed citations
20.
Williams, Shauna, et al.. (2008). Pregnancy outcomes in young women with perinatally acquired human immunodeficiency virus-1. American Journal of Obstetrics and Gynecology. 200(2). 149.e1–149.e5. 23 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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