W. Plasencia

7.1k total citations · 4 hit papers
77 papers, 4.8k citations indexed

About

W. Plasencia is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, W. Plasencia has authored 77 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Pediatrics, Perinatology and Child Health, 47 papers in Obstetrics and Gynecology and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in W. Plasencia's work include Pregnancy and preeclampsia studies (43 papers), Prenatal Screening and Diagnostics (23 papers) and Birth, Development, and Health (16 papers). W. Plasencia is often cited by papers focused on Pregnancy and preeclampsia studies (43 papers), Prenatal Screening and Diagnostics (23 papers) and Birth, Development, and Health (16 papers). W. Plasencia collaborates with scholars based in Spain, United Kingdom and Italy. W. Plasencia's co-authors include K. H. Nicolaides, Liona C. Poon, Nerea Maíz, Argyro Syngelaki, Daniel L. Rolnik, D. Wright, Ranjit Akolekar, C. de Paco Matallana, Jacques Jani and Francisca S. Molina and has published in prestigious journals such as New England Journal of Medicine, American Journal of Obstetrics and Gynecology and Nutrients.

In The Last Decade

W. Plasencia

70 papers receiving 4.7k citations

Hit Papers

Aspirin versus Placebo in Pregnancies at High Risk for Pr... 2017 2026 2020 2023 2017 2017 2018 2017 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Aspirin versus Placebo in Pregnancies at High Risk for Preterm Preeclampsia
    2017 1.4k citations Daniel L. Rolnik, D. Wright et al. profile →
  2. ASPRE trial: performance of screening for preterm pre‐eclampsia
    2017 276 citations Daniel L. Rolnik, D. Wright et al. Ultrasound in Obstetrics and Gynecology profile →
  3. Screening for pre‐eclampsia by maternal factors and biomarkers at 11–13 weeks' gestation
    2018 247 citations Min Yi Tan, Argyro Syngelaki et al. Ultrasound in Obstetrics and Gynecology profile →
  4. Multicenter screening for pre‐eclampsia by maternal factors and biomarkers at 11–13 weeks' gestation: comparison with NICE guidelines and ACOG recommendations
    2017 228 citations N. O’Gorman, D. Wright et al. Ultrasound in Obstetrics and Gynecology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Plasencia Spain 28 4.0k 3.7k 725 516 485 77 4.8k
N. O’Gorman United Kingdom 18 3.0k 0.7× 2.5k 0.7× 524 0.7× 278 0.5× 463 1.0× 43 3.4k
Alan Wright United Kingdom 28 3.0k 0.7× 2.6k 0.7× 285 0.4× 204 0.4× 328 0.7× 95 3.3k
Mandeep Singh United Kingdom 17 2.5k 0.6× 1.9k 0.5× 1.1k 1.4× 901 1.7× 429 0.9× 43 3.4k
C. de Paco Matallana Spain 14 2.3k 0.6× 1.9k 0.5× 539 0.7× 271 0.5× 346 0.7× 48 2.7k
Ignacio Herraı̀z Spain 23 2.0k 0.5× 1.7k 0.5× 199 0.3× 456 0.9× 733 1.5× 95 2.6k
Sara De Carolis Italy 25 922 0.2× 557 0.2× 403 0.6× 169 0.3× 445 0.9× 114 2.4k
H. G. Dixon United Kingdom 16 2.0k 0.5× 1.6k 0.4× 274 0.4× 155 0.3× 687 1.4× 32 2.6k
Saima Basit Denmark 17 670 0.2× 529 0.1× 270 0.4× 666 1.3× 225 0.5× 38 1.9k
Sergio Ferrazzani Italy 21 895 0.2× 645 0.2× 292 0.4× 143 0.3× 219 0.5× 86 1.6k
Vickie A. Feldstein United States 33 1.4k 0.3× 1.2k 0.3× 415 0.6× 470 0.9× 51 0.1× 102 4.0k

Countries citing papers authored by W. Plasencia

Since Specialization
Citations

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

Fields of papers citing papers by W. Plasencia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Plasencia

This figure shows the co-authorship network connecting the top 25 collaborators of W. Plasencia. A scholar is included among the top collaborators of W. Plasencia 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 W. Plasencia. W. Plasencia 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.
Rolnik, Daniel L., Liona C. Poon, Argyro Syngelaki, et al.. (2025). Aspirin, Birthweight, and Large‐For‐Gestational‐Age Neonates: A Secondary Analysis of the ASPRE Trial. BJOG An International Journal of Obstetrics & Gynaecology. 132(11). 1606–1614.
2.
Matallana, C. de Paco, et al.. (2023). Spiral, uterine artery doppler and placental ultrasound in relation to preeclampsia. Best Practice & Research Clinical Obstetrics & Gynaecology. 92. 102426–102426. 10 indexed citations
3.
4.
Gil, M. M., Francisca S. Molina, Juan Luis Delgado⋈, et al.. (2020). New approach for estimating risk of miscarriage after chorionic villus sampling. Ultrasound in Obstetrics and Gynecology. 56(5). 656–663. 12 indexed citations
5.
Tan, Min Yi, Liona C. Poon, Daniel L. Rolnik, et al.. (2018). Prediction and prevention of small‐for‐gestational‐age neonates: evidence from SPREE and ASPRE. Ultrasound in Obstetrics and Gynecology. 52(1). 52–59. 92 indexed citations
6.
Rolnik, Daniel L., D. Wright, Liona C. Poon, et al.. (2018). Aspirin Versus Placebo in Pregnancies at High Risk for Preterm Preeclampsia. Obstetrical & Gynecological Survey. 73(1). 11–12. 25 indexed citations
7.
Tan, Min Yi, Argyro Syngelaki, Liona C. Poon, et al.. (2018). Screening for pre‐eclampsia by maternal factors and biomarkers at 11–13 weeks' gestation. Ultrasound in Obstetrics and Gynecology. 52(2). 186–195. 247 indexed citations breakdown →
8.
Poon, Liona C., Daniel L. Rolnik, Min Yi Tan, et al.. (2018). ASPRE Trial: Incidence of Preterm Preeclampsia in Patients Fulfilling ACOG and NICE Criteria According to Risk by FMF Algorithm. Obstetrical & Gynecological Survey. 73(11). 623–625. 1 indexed citations
9.
González, Nieves Luisa González, et al.. (2018). Value of Placental Volume and Vascular Flow Indices as Predictors of Early and Late Preeclampsia at First Trimester. Fetal Diagnosis and Therapy. 44(4). 256–263. 14 indexed citations
10.
11.
O’Gorman, N., D. Wright, Liona C. Poon, et al.. (2017). Multicenter screening for pre‐eclampsia by maternal factors and biomarkers at 11–13 weeks' gestation: comparison with NICE guidelines and ACOG recommendations. Ultrasound in Obstetrics and Gynecology. 49(6). 756–760. 228 indexed citations breakdown →
12.
Rolnik, Daniel L., D. Wright, Liona C. Poon, et al.. (2017). ASPRE trial: performance of screening for preterm pre‐eclampsia. Ultrasound in Obstetrics and Gynecology. 50(4). 492–495. 276 indexed citations breakdown →
13.
Poon, Liona C., D. Wright, Daniel L. Rolnik, et al.. (2017). Aspirin for Evidence-Based Preeclampsia Prevention trial: effect of aspirin in prevention of preterm preeclampsia in subgroups of women according to their characteristics and medical and obstetrical history. American Journal of Obstetrics and Gynecology. 217(5). 585.e1–585.e5. 144 indexed citations
14.
González, Nieves Luisa González, et al.. (2014). Effect of pregestational diabetes mellitus on first trimester placental characteristics: Three-dimensional placental volume and power Doppler indices. Placenta. 35(3). 147–151. 27 indexed citations
15.
González, Nieves Luisa González, W. Plasencia, Enrique González‐Dávila, et al.. (2012). The effect of customized growth charts on the identification of large for gestational age newborns. The Journal of Maternal-Fetal & Neonatal Medicine. 26(1). 62–65. 13 indexed citations
16.
Poon, Liona C., I. Staboulidou, Nerea Maíz, W. Plasencia, & K. H. Nicolaides. (2009). Hypertensive disorders in pregnancy: screening by uterine artery Doppler at 11–13 weeks. Ultrasound in Obstetrics and Gynecology. 34(2). 142–148. 105 indexed citations
17.
Crispi, F., Edgar Hernández‐Andrade, Maurice M. A. L. Pelsers, et al.. (2008). Cardiac dysfunction and cell damage across clinical stages of severity in growth-restricted fetuses - art. no. 254.e1. American Journal of Obstetrics and Gynecology. 199(3). 15 indexed citations
18.
Crispi, F., Edgar Hernández‐Andrade, Maurice M. A. L. Pelsers, et al.. (2008). Cardiac dysfunction and cell damage across clinical stages of severity in growth-restricted fetuses. American Journal of Obstetrics and Gynecology. 199(3). 254.e1–254.e8. 229 indexed citations
19.
Plasencia, W., Themistoklis Dagklis, M. Borenstein, B Csapó, & K. H. Nicolaides. (2007). Assessment of the corpus callosum at 20–24 weeks' gestation by three‐dimensional ultrasound examination. Ultrasound in Obstetrics and Gynecology. 30(2). 169–172. 25 indexed citations
20.
Martínez, Alicia Martín, et al.. (2006). Fetal akinesia deformation sequence. Pena – Shokeir type I syndrome. New features of an un-uncommon condition. Journal of Obstetrics and Gynaecology. 26(8). 818–820. 4 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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