Laia Pratcorona

1.0k total citations
15 papers, 419 citations indexed

About

Laia Pratcorona is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology. According to data from OpenAlex, Laia Pratcorona has authored 15 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 12 papers in Public Health, Environmental and Occupational Health and 5 papers in Obstetrics and Gynecology. Recurrent topics in Laia Pratcorona's work include Preterm Birth and Chorioamnionitis (13 papers), Pregnancy-related medical research (11 papers) and Maternal and Perinatal Health Interventions (4 papers). Laia Pratcorona is often cited by papers focused on Preterm Birth and Chorioamnionitis (13 papers), Pregnancy-related medical research (11 papers) and Maternal and Perinatal Health Interventions (4 papers). Laia Pratcorona collaborates with scholars based in Spain, Palestinian Territory and Netherlands. Laia Pratcorona's co-authors include L. Cabero, María Goya, E. Carreras, Teresa Higueras, Carme Merced, Carlota Rodó, Elisa Llurba, Miquel Juan, Belén Santacruz and Begoña Muñoz and has published in prestigious journals such as The Lancet, American Journal of Obstetrics and Gynecology and Ultrasound in Obstetrics and Gynecology.

In The Last Decade

Laia Pratcorona

10 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laia Pratcorona Spain 7 374 351 198 88 28 15 419
J. Bello‐Muñoz Spain 5 299 0.8× 294 0.8× 141 0.7× 106 1.2× 24 0.9× 9 366
Leonor Valle Spain 8 323 0.9× 287 0.8× 193 1.0× 117 1.3× 25 0.9× 14 415
Miquel Juan Spain 6 311 0.8× 284 0.8× 184 0.9× 101 1.1× 41 1.5× 9 389
John Visintine United States 10 332 0.9× 266 0.8× 143 0.7× 77 0.9× 107 3.8× 17 383
Shalini Fusey India 4 447 1.2× 400 1.1× 253 1.3× 148 1.7× 66 2.4× 5 568
James Airoldi United States 7 169 0.5× 211 0.6× 200 1.0× 111 1.3× 14 0.5× 10 338
Carme Merced Spain 7 404 1.1× 350 1.0× 189 1.0× 87 1.0× 49 1.8× 17 468
Arnoldas Bartusevičius Lithuania 9 113 0.3× 268 0.8× 191 1.0× 140 1.6× 10 0.4× 20 408
Jesús Rodríguez Calvo United Kingdom 7 182 0.5× 152 0.4× 108 0.5× 100 1.1× 24 0.9× 11 256
Michelle DiVito United States 6 206 0.6× 184 0.5× 76 0.4× 39 0.4× 27 1.0× 8 251

Countries citing papers authored by Laia Pratcorona

Since Specialization
Citations

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

Fields of papers citing papers by Laia Pratcorona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laia Pratcorona

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

All Works

15 of 15 papers shown
1.
Pratcorona, Laia, et al.. (2025). Conservative approach for intra-amniotic Candida albicans colonisation. Case report and review of current evidence. Case Reports in Perinatal Medicine. 14(1). 20240047–20240047.
2.
Merced, Carme, Rik van Eekelen, Madelon van Wely, et al.. (2025). Effectiveness of a cervical pessary in prolongation of pregnancy after an arrested episode of preterm labor: a systematic review and individual patient data meta-analysis. American Journal of Obstetrics & Gynecology MFM. 7(7). 101690–101690.
3.
Garrido‐Giménez, Carmen, Begoña Muñoz, Laia Pratcorona, et al.. (2025). The Effect of Probiotics on Preterm Birth Rates in Pregnant Women After a Threatened Preterm Birth Episode (The PROPEV Trial). Biomedicines. 13(5). 1141–1141.
4.
Merced, Carme, Laia Pratcorona, Teresa Higueras, et al.. (2024). Risk factors of early spontaneous preterm birth despite carrying a cervical pessary in singleton pregnancies with a short cervix: Development of a risk prediction model. European Journal of Obstetrics & Gynecology and Reproductive Biology X. 22. 100305–100305.
5.
Ferrer‐Oliveras, Raquel, Manel Mendoza, Laia Pratcorona, et al.. (2021). Immunological and physiopathological approach of COVID-19 in pregnancy. Archives of Gynecology and Obstetrics. 304(1). 39–57. 25 indexed citations
6.
Merced, Carme, María Goya, Laia Pratcorona, et al.. (2019). Cervical pessary for preventing preterm birth in twin pregnancies with maternal short cervix after an episode of threatened preterm labor: randomised controlled trial. American Journal of Obstetrics and Gynecology. 221(1). 55.e1–55.e14. 17 indexed citations
7.
Pratcorona, Laia, María Goya, Carme Merced, et al.. (2018). Cervical pessary to reduce preterm birth <34 weeks of gestation after an episode of preterm labor and a short cervix: a randomized controlled trial. American Journal of Obstetrics and Gynecology. 219(1). 99.e1–99.e16. 18 indexed citations
8.
Goya, María, María de la Calle, Laia Pratcorona, et al.. (2016). Cervical Pessary to Prevent Preterm Birth in Women With Twin Gestation and Sonographic Short Cervix: A Multicentre Randomized Controlled Trial (PECEP-Twins). Obstetric Anesthesia Digest. 36(4). 208–209.
9.
Mendoza, Manel, María Goya, Laia Pratcorona, et al.. (2016). Modification of cervical length after cervical pessary insertion: correlation weeks of gestation. The Journal of Maternal-Fetal & Neonatal Medicine. 30(13). 1596–1601. 17 indexed citations
10.
Bernabéu, A, María Goya, Anna Suy, et al.. (2015). Physical examination-indicated cerclage in singleton and twin pregnancies: maternal–fetal outcomes. The Journal of Maternal-Fetal & Neonatal Medicine. 29(13). 2109–2113. 15 indexed citations
11.
Goya, María, Carlota Rodó, María de la Calle, et al.. (2014). OC23.01: Cervical pessary to prevent preterm birth in twin pregnancies with a short cervix: RCT (PECEP‐twins). Ultrasound in Obstetrics and Gynecology. 44(S1). 53–54. 2 indexed citations
12.
Goya, María, Laia Pratcorona, Carme Merced, Carlota Rodó, & E. Carreras. (2012). Cervical pessary in pregnant women with a short cervix – Authors' reply. The Lancet. 380(9845). 887–887. 1 indexed citations
13.
Goya, María, Laia Pratcorona, Carme Merced, et al.. (2012). Cervical pessary in pregnant women with a short cervix (PECEP): an open-label randomised controlled trial. The Lancet. 379(9828). 1800–1806. 296 indexed citations
14.
Goya, María, Laia Pratcorona, Carme Merced, et al.. (2012). Cervical Pessary in Pregnant Women With a Short Cervix (PECEP). Obstetrical & Gynecological Survey. 67(9). 533–534. 1 indexed citations
15.
Goya, María, Laia Pratcorona, Teresa Higueras, et al.. (2011). Sonographic cervical length measurement in pregnant women with a cervical pessary. Ultrasound in Obstetrics and Gynecology. 38(2). 205–209. 27 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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