Joanna R. Cook

540 total citations
8 papers, 383 citations indexed

About

Joanna R. Cook is a scholar working on Obstetrics and Gynecology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Joanna R. Cook has authored 8 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Obstetrics and Gynecology, 5 papers in Epidemiology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Joanna R. Cook's work include Preterm Birth and Chorioamnionitis (5 papers), Pregnancy and preeclampsia studies (3 papers) and Pregnancy-related medical research (3 papers). Joanna R. Cook is often cited by papers focused on Preterm Birth and Chorioamnionitis (5 papers), Pregnancy and preeclampsia studies (3 papers) and Pregnancy-related medical research (3 papers). Joanna R. Cook collaborates with scholars based in United Kingdom and Belgium. Joanna R. Cook's co-authors include Phillip R. Bennett, Vasso Terzidou, David A. MacIntyre, Susan Bewley, T. Teoh, Lindsay Kindinger, Lynne Sykes, Stefano Cacciatore, Sung Hye Kim and Julian R. Marchesi and has published in prestigious journals such as PLoS ONE, Scientific Reports and American Journal of Obstetrics and Gynecology.

In The Last Decade

Joanna R. Cook

8 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joanna R. Cook United Kingdom	8	206	110	105	92	80	8	383
Kristin D. Gerson United States	12	129 0.6×	164 1.5×	98 0.9×	120 1.3×	59 0.7×	29	479
Talshyn Ukybassova Kazakhstan	10	261 1.3×	166 1.5×	93 0.9×	39 0.4×	28 0.3×	35	674
Michelle Garcia Discacciati Brazil	14	320 1.6×	63 0.6×	87 0.8×	206 2.2×	26 0.3×	35	502
Ho‐Yen Chueh Taiwan	14	71 0.3×	87 0.8×	141 1.3×	28 0.3×	40 0.5×	43	462
Federica Scrimin Italy	13	38 0.2×	144 1.3×	57 0.5×	32 0.3×	21 0.3×	44	365
Kai-Li Liaw United States	15	567 2.8×	65 0.6×	38 0.4×	128 1.4×	11 0.1×	20	704
Birgitte Baldur‐Felskov Denmark	9	353 1.7×	57 0.5×	34 0.3×	58 0.6×	27 0.3×	11	502
Kari P. Braaten United States	7	165 0.8×	68 0.6×	129 1.2×	11 0.1×	76 0.9×	15	354
Sheng‐Wen Shaw Taiwan	14	60 0.3×	45 0.4×	129 1.2×	28 0.3×	17 0.2×	38	455
H. Kitchener United Kingdom	10	499 2.4×	92 0.8×	34 0.3×	36 0.4×	5 0.1×	19	641

Countries citing papers authored by Joanna R. Cook

Since Specialization

Citations

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

Fields of papers citing papers by Joanna R. Cook

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joanna R. Cook. 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 Joanna R. Cook. The network helps show where Joanna R. Cook may publish in the future.

Co-authorship network of co-authors of Joanna R. Cook

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

All Works

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8 of 8 papers shown

Kim, Sung Hye, David A. MacIntyre, Joanna R. Cook, et al.. (2020). Maternal plasma miRNAs as potential biomarkers for detecting risk of small-for-gestational-age births. EBioMedicine. 62. 103145–103145. 37 indexed citations

Cook, Joanna R., Lynne Sykes, Anna L. David, et al.. (2019). Cervical length and quantitative fetal fibronectin in the prediction of spontaneous preterm birth in asymptomatic women with congenital uterine anomaly. American Journal of Obstetrics and Gynecology. 221(4). 341.e1–341.e9. 13 indexed citations

Cook, Joanna R., Phillip R. Bennett, Sung Hye Kim, et al.. (2019). First Trimester Circulating MicroRNA Biomarkers Predictive of Subsequent Preterm Delivery and Cervical Shortening. Scientific Reports. 9(1). 5861–5861. 61 indexed citations

Cook, Joanna R., Manju Chandiramani, Lindsay Kindinger, et al.. (2017). Cerclage position, cervical length and preterm delivery in women undergoing ultrasound indicated cervical cerclage: A retrospective cohort study. PLoS ONE. 12(6). e0178072–e0178072. 28 indexed citations

Kindinger, Lindsay, Maria Kyrgiou, David A. MacIntyre, et al.. (2016). Preterm Birth Prevention Post-Conization: A Model of Cervical Length Screening with Targeted Cerclage. PLoS ONE. 11(11). e0163793–e0163793. 34 indexed citations

Kindinger, Lindsay, David A. MacIntyre, Yun Sok Lee, et al.. (2016). Relationship between vaginal microbial dysbiosis, inflammation, and pregnancy outcomes in cervical cerclage. Science Translational Medicine. 8(350). 350ra102–350ra102. 139 indexed citations

Cook, Joanna R., David A. MacIntyre, Sung Hye Kim, et al.. (2015). Exogenous oxytocin modulates human myometrial microRNAs. American Journal of Obstetrics and Gynecology. 213(1). 65.e1–65.e9. 22 indexed citations

Cook, Joanna R. & Susan Bewley. (2008). Acknowledging a persistent truth: domestic violence in pregnancy. Journal of the Royal Society of Medicine. 101(7). 358–363. 49 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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