Meekai To

3.3k total citations
32 papers, 2.1k citations indexed

About

Meekai To is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology. According to data from OpenAlex, Meekai To has authored 32 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Epidemiology, 24 papers in Public Health, Environmental and Occupational Health and 14 papers in Obstetrics and Gynecology. Recurrent topics in Meekai To's work include Preterm Birth and Chorioamnionitis (29 papers), Pregnancy-related medical research (21 papers) and Maternal and Perinatal Health Interventions (12 papers). Meekai To is often cited by papers focused on Preterm Birth and Chorioamnionitis (29 papers), Pregnancy-related medical research (21 papers) and Maternal and Perinatal Health Interventions (12 papers). Meekai To collaborates with scholars based in United Kingdom, United States and Netherlands. Meekai To's co-authors include K. H. Nicolaides, Chara Skentou, Sietske Althuisius, Orion A. Rust, Vincenzo Berghella, Anthony Odibo, S. Cicero, Ana Maria Cacho, V. Heath and Adolfo Wenjaw Liao and has published in prestigious journals such as New England Journal of Medicine, The Lancet and American Journal of Obstetrics and Gynecology.

In The Last Decade

Meekai To

30 papers receiving 2.0k citations

Peers

Meekai To
Sietske Althuisius Netherlands
Elçin Çetingöz United States
Michael C. Gordon United States
J CRANE Canada
Chad K. Klauser United States
Andrew Elimian United States
Sietske Althuisius Netherlands
Meekai To
Citations per year, relative to Meekai To Meekai To (= 1×) peers Sietske Althuisius

Countries citing papers authored by Meekai To

Since Specialization
Citations

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

Fields of papers citing papers by Meekai To

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meekai To

This figure shows the co-authorship network connecting the top 25 collaborators of Meekai To. A scholar is included among the top collaborators of Meekai To 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 Meekai To. Meekai To 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.
Berghella, Vincenzo, Andrea Ciardulli, Orion A. Rust, et al.. (2017). Cerclage for sonographic short cervix in singleton gestations without prior spontaneous preterm birth: systematic review and meta‐analysis of randomized controlled trials using individual patient‐level data. Ultrasound in Obstetrics and Gynecology. 50(5). 569–577. 118 indexed citations
2.
Tan, Min Yi & Meekai To. (2015). Recent advances in the prevention and management of preterm birth. F1000Prime Reports. 7. 40–40. 5 indexed citations
4.
Charles‐Edwards, Geoff, Wajanat Jan, Meekai To, et al.. (2010). Non‐invasive detection and quantification of human foetal brain lactate in utero by magnetic resonance spectroscopy. Prenatal Diagnosis. 30(3). 260–266. 17 indexed citations
5.
To, Meekai, Michael Kidd, & D. J. Maxwell. (2009). Prenatal diagnosis and management of fetal infections. The Obstetrician & Gynaecologist. 11(2). 108–116. 3 indexed citations
6.
Çelik, Ebru, Meekai To, Katarzyna Gajewska, Gordon C. S. Smith, & K. H. Nicolaides. (2008). Cervical length and obstetric history predict spontaneous preterm birth: development and validation of a model to provide individualized risk assessment. Ultrasound in Obstetrics and Gynecology. 31(5). 549–554. 163 indexed citations
7.
Odibo, Anthony, Vincenzo Berghella, Meekai To, et al.. (2007). Shirodkar versus McDonald Cerclage for the Prevention of Preterm Birth in Women with Short Cervical Length. American Journal of Perinatology. 24(1). 55–60. 71 indexed citations
8.
To, Meekai, Eduardo Borges da Fonseca, Francisca S. Molina, Ana Maria Cacho, & K. H. Nicolaides. (2006). Maternal characteristics and cervical length in the prediction of spontaneous early preterm delivery in twins. American Journal of Obstetrics and Gynecology. 194(5). 1360–1365. 101 indexed citations
9.
To, Meekai, Chara Skentou, Patrick Royston, C. K. H. Yu, & K. H. Nicolaides. (2006). Prediction of patient‐specific risk of early preterm delivery using maternal history and sonographic measurement of cervical length: a population‐based prospective study. Ultrasound in Obstetrics and Gynecology. 27(4). 362–367. 163 indexed citations
10.
To, Meekai, et al.. (2006). Preterm birth: the value of sonographic measurement of cervical length. BJOG An International Journal of Obstetrics & Gynaecology. 113(s3). 52–56. 43 indexed citations
11.
Berghella, Vincenzo, Anthony Odibo, Meekai To, Orion A. Rust, & Sietske Althuisius. (2005). Cerclage for Short Cervix on Ultrasonography. Obstetrics and Gynecology. 106(1). 181–189. 380 indexed citations
12.
Ekele, Bissallah, Phillip R. Bennett, Andrew Shennan, et al.. (2004). Cervical cerclage for prevention of preterm delivery in women with short cervix. Authors' reply. The Lancet. 364(9449). 1934–1935. 1 indexed citations
13.
To, Meekai, Žarko Alfirević, V. Heath, et al.. (2004). Cervical Cerclage for Prevention of Preterm Delivery in Women With a Short Cervix: A Randomized, Controlled Trial. Obstetrical & Gynecological Survey. 60(1). 15–16. 2 indexed citations
14.
To, Meekai, Žarko Alfirević, V. Heath, et al.. (2004). Cervical cerclage for prevention of preterm delivery in woman with short cervix:randomised controlled trial. The Lancet. 363(9424). 1849–1853. 279 indexed citations
15.
To, Meekai, Vadivu Palaniappan, Chara Skentou, D. M. F. GIBB, & K. H. Nicolaides. (2002). Elective cerclage vs. ultrasound‐indicated cerclage in high‐risk pregnancies. Ultrasound in Obstetrics and Gynecology. 19(5). 475–477. 58 indexed citations
16.
Skentou, Chara, Athena P. Souka, Meekai To, Adolfo Wenjaw Liao, & K. H. Nicolaides. (2001). Prediction of preterm delivery in twins by cervical assessment at 23 weeks. Ultrasound in Obstetrics and Gynecology. 17(1). 7–10. 73 indexed citations
17.
Cicero, S., Chara Skentou, Athena P. Souka, Meekai To, & K. H. Nicolaides. (2001). Cervical length at 22–24 weeks of gestation: comparison of transvaginal and transperineal‐translabial ultrasonography. Ultrasound in Obstetrics and Gynecology. 17(4). 335–340. 55 indexed citations
18.
Papageorghiou, Aris T., Meekai To, C. K. H. Yu, & K. H. Nicolaides. (2001). Repeatability of measurement of uterine artery pulsatility index using transvaginal color Doppler. Ultrasound in Obstetrics and Gynecology. 18(5). 456–459. 24 indexed citations
19.
To, Meekai, et al.. (2001). Cervical length and funneling at 23 weeks of gestation in the prediction of spontaneous early preterm delivery. Ultrasound in Obstetrics and Gynecology. 18(3). 200–203. 131 indexed citations
20.
To, Meekai, Chara Skentou, S. Cicero, Adolfo Wenjaw Liao, & K. H. Nicolaides. (2000). Cervical length at 23 weeks in triplets: prediction of spontaneous preterm delivery. Ultrasound in Obstetrics and Gynecology. 16(6). 515–518. 42 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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