J. Sabrià

714 total citations
31 papers, 478 citations indexed

About

J. Sabrià is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Genetics. According to data from OpenAlex, J. Sabrià has authored 31 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pediatrics, Perinatology and Child Health, 8 papers in Obstetrics and Gynecology and 6 papers in Genetics. Recurrent topics in J. Sabrià's work include Prenatal Screening and Diagnostics (16 papers), Pregnancy and preeclampsia studies (7 papers) and Fetal and Pediatric Neurological Disorders (6 papers). J. Sabrià is often cited by papers focused on Prenatal Screening and Diagnostics (16 papers), Pregnancy and preeclampsia studies (7 papers) and Fetal and Pediatric Neurological Disorders (6 papers). J. Sabrià collaborates with scholars based in Spain, United Kingdom and United States. J. Sabrià's co-authors include Pavel Calda, Harald Zeisler, B. Denk, Alberto Galindo, Olav Lapaire, Holger Stepan, Ignacio Herraı̀z, Stefan Verlohren, Filiz Markfeld-Erol and Dietmar Schlembach and has published in prestigious journals such as Hypertension, Journal of Medical Genetics and Ultrasound in Obstetrics and Gynecology.

In The Last Decade

J. Sabrià

29 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Sabrià Spain 9 357 334 109 66 31 31 478
Linda T. Roten Norway 9 278 0.8× 348 1.0× 117 1.1× 18 0.3× 11 0.4× 16 464
G. Albaigés Spain 10 542 1.5× 585 1.8× 67 0.6× 17 0.3× 32 1.0× 21 690
Yoshikazu Nagase Japan 11 130 0.4× 200 0.6× 36 0.3× 59 0.9× 44 1.4× 33 356
Manal M. El Behery Egypt 12 154 0.4× 236 0.7× 93 0.9× 14 0.2× 40 1.3× 23 380
Pil Ryang Lee South Korea 9 159 0.4× 131 0.4× 42 0.4× 16 0.2× 52 1.7× 29 271
Laura Sandler United States 7 276 0.8× 475 1.4× 56 0.5× 23 0.3× 72 2.3× 8 559
Koyo Yoshida Japan 9 112 0.3× 140 0.4× 55 0.5× 18 0.3× 49 1.6× 37 332
A. Abbas United Kingdom 12 289 0.8× 171 0.5× 40 0.4× 26 0.4× 43 1.4× 26 477
E. J. Wortelboer Netherlands 10 261 0.7× 246 0.7× 68 0.6× 10 0.2× 29 0.9× 14 340
Iosifina Stergiotou Spain 11 205 0.6× 132 0.4× 16 0.1× 37 0.6× 35 1.1× 16 325

Countries citing papers authored by J. Sabrià

Since Specialization
Citations

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

Fields of papers citing papers by J. Sabrià

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Sabrià

This figure shows the co-authorship network connecting the top 25 collaborators of J. Sabrià. A scholar is included among the top collaborators of J. Sabrià 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 J. Sabrià. J. Sabrià 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.
Sabrià, J., et al.. (2023). Do FETO CDH survivors need the same follow-up program as non-FETO patients?. European Journal of Pediatrics. 182(7). 3243–3255. 4 indexed citations
2.
Pauta, Montse, Berta Campos, Gemma Arca, et al.. (2021). Next-Generation Sequencing Gene Panels and “Solo” Clinical Exome Sequencing Applied in Structurally Abnormal Fetuses. Fetal Diagnosis and Therapy. 48(10). 746–756. 8 indexed citations
3.
Pauta, Montse, Célia Bádenas, Laia Rodríguez‐Revenga, et al.. (2021). A New Stepwise Molecular Work-Up After Chorionic Villi Sampling in Women With an Early Pregnancy Loss. Frontiers in Genetics. 11. 561720–561720. 2 indexed citations
4.
Rodríguez‐Revenga, Laia, Irene Madrigal, A. Borrell, et al.. (2020). Chromosome microarray analysis should be offered to all invasive prenatal diagnostic testing following a normal rapid aneuploidy test result. Clinical Genetics. 98(4). 379–383. 8 indexed citations
5.
Sabrià, J., et al.. (2020). Prenatal diagnosis of Kagami‐Ogata syndrome. Journal of Clinical Ultrasound. 49(5). 498–501. 3 indexed citations
6.
Borrell, A., Maribel Grande, E. Meler, et al.. (2016). Genomic Microarray in Fetuses with Early Growth Restriction: A Multicenter Study. Fetal Diagnosis and Therapy. 42(3). 174–180. 38 indexed citations
7.
Grande, Maribel, J. Sabrià, V. Borobio, et al.. (2016). Effectiveness of ovarian age as the background risk for aneuploidy screening in an unselected pregnant population. Reproductive BioMedicine Online. 33(4). 500–505. 13 indexed citations
8.
Gómez‐Roig, María Dolores, et al.. (2015). Use of Placental Growth Factor and Uterine Artery Doppler Pulsatility Index in Pregnancies Involving Intrauterine Fetal Growth Restriction or Preeclampsia to Predict Perinatal Outcomes. Gynecologic and Obstetric Investigation. 80(2). 99–105. 15 indexed citations
9.
10.
Verlohren, Stefan, Ignacio Herraı̀z, Olav Lapaire, et al.. (2013). New Gestational Phase–Specific Cutoff Values for the Use of the Soluble fms-Like Tyrosine Kinase-1/Placental Growth Factor Ratio as a Diagnostic Test for Preeclampsia. Hypertension. 63(2). 346–352. 276 indexed citations
11.
Sabrià, J., C. Comas, C. Barceló‐Vidal, et al.. (2012). Updated Reference Ranges for the Ductus Venosus Pulsatility Index at 11–13 Weeks. Fetal Diagnosis and Therapy. 32(4). 271–276. 7 indexed citations
12.
Sabrià, J., et al.. (2012). P07.17: The use of first trimester biochemical markers for crown‐rump length quality control. Ultrasound in Obstetrics and Gynecology. 40(S1). 197–197. 1 indexed citations
13.
Sabrià, J., et al.. (2011). Cord blood collection for banking and the risk of maternal hemorrhage. Acta Obstetricia Et Gynecologica Scandinavica. 90(9). 1043–1045. 3 indexed citations
14.
Rodríguez, Ignacio, et al.. (2011). Estrategias para mejorar el cribado de síndrome de Down: experiencia en el Instituto Dexeus (Barcelona). 22(2). 41–50. 3 indexed citations
15.
Sabrià, J., et al.. (2010). The CUSUM test applied in prospective nuchal translucency quality review. Ultrasound in Obstetrics and Gynecology. 37(5). 582–587. 19 indexed citations
16.
Ferrero, Silvia, et al.. (2007). Carcinoma de endometrio y ovario sincrónicos. Clínica e Investigación en Ginecología y Obstetricia. 34(2). 77–79. 2 indexed citations
17.
Sabrià, J., et al.. (2006). Valor de la medición ecográfica de longitud cervical en gestantes con amenaza de parto prematuro para predecir un parto pretérmino. Progresos de Obstetricia y Ginecología. 49(1). 5–11. 1 indexed citations
18.
19.
Gómez‐Roig, María Dolores, J. Sabrià, Carme Valls, et al.. (2004). The use of biochemical markers in prenatal diagnosis of intrauterine growth retardation: insulin-like growth factor I, Leptin, and alpha-fetoprotein. European Journal of Obstetrics & Gynecology and Reproductive Biology. 120(1). 27–32. 8 indexed citations
20.
Gavaldà, Laura, et al.. (1998). Obstetricia Curvas de peso, para la edad gestacional, de los recién nacidos de la población asistida habitualmente en el Hospital Universitario de Girona Doctor Josep Trueta. Progresos de Obstetricia y Ginecología. 41(4). 215–220. 5 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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