Laia Pratcorona

25 total papers · 1.0k total citations
14 papers, 418 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 14 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 12 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 (12 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 (12 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 Australia. Laia Pratcorona's co-authors include L. Cabero, E. Carreras, María Goya, Teresa Higueras, Carme Merced, Carlota Rodó, Elisa Llurba, Leonor Valle, Begoña Muñoz and Miquel Juan 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 405 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Laia Pratcorona 373 350 198 88 28 14 418
Begoña Muñoz 321 0.9× 275 0.8× 136 0.7× 68 0.8× 22 0.8× 11 380
J. Bello‐Muñoz 307 0.8× 292 0.8× 141 0.7× 107 1.2× 24 0.9× 10 374
Leonor Valle 321 0.9× 286 0.8× 192 1.0× 116 1.3× 25 0.9× 14 412
Miquel Juan 310 0.8× 283 0.8× 184 0.9× 101 1.1× 41 1.5× 9 388
A. Rodríguez 309 0.8× 346 1.0× 153 0.8× 107 1.2× 39 1.4× 21 445
John Visintine 332 0.9× 266 0.8× 143 0.7× 77 0.9× 107 3.8× 17 383
Carme Merced 403 1.1× 349 1.0× 189 1.0× 87 1.0× 49 1.8× 17 466
Sean Keeler 291 0.8× 263 0.8× 139 0.7× 87 1.0× 46 1.6× 24 388
MB Landon 262 0.7× 228 0.7× 241 1.2× 151 1.7× 52 1.9× 12 437
Angharad Care 232 0.6× 146 0.4× 144 0.7× 121 1.4× 82 2.9× 26 375

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

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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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