Julia Binder

1.0k total citations
55 papers, 529 citations indexed

About

Julia Binder is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Julia Binder has authored 55 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Pediatrics, Perinatology and Child Health, 34 papers in Obstetrics and Gynecology and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Julia Binder's work include Pregnancy and preeclampsia studies (32 papers), Birth, Development, and Health (15 papers) and Fetal and Pediatric Neurological Disorders (12 papers). Julia Binder is often cited by papers focused on Pregnancy and preeclampsia studies (32 papers), Birth, Development, and Health (15 papers) and Fetal and Pediatric Neurological Disorders (12 papers). Julia Binder collaborates with scholars based in Austria, United Kingdom and Türkiye. Julia Binder's co-authors include Asma Khalil, B. Thilaganathan, Erkan Kalafat, Harald Zeisler, Daniela Prayer, Petra Pateisky, Helen Perry, Herbert Kiss, José Morales-­Roselló­ and M.C. Diogo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Julia Binder

48 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Binder Austria 14 369 356 82 71 66 55 529
E. Scazzocchio Spain 11 441 1.2× 406 1.1× 56 0.7× 48 0.7× 43 0.7× 20 534
Rita Sarquis United Kingdom 4 451 1.2× 497 1.4× 56 0.7× 31 0.4× 64 1.0× 5 552
Carolyn Salafia United States 8 338 0.9× 336 0.9× 66 0.8× 92 1.3× 55 0.8× 19 491
Manaphat Suksai United States 10 255 0.7× 278 0.8× 118 1.4× 86 1.2× 77 1.2× 46 449
Amy Whitten United States 8 221 0.6× 277 0.8× 52 0.6× 32 0.5× 76 1.2× 16 362
Cecilia Villalaín Spain 12 257 0.7× 298 0.8× 62 0.8× 47 0.7× 46 0.7× 59 421
Neta Benshalom-Tirosh Israel 12 326 0.9× 398 1.1× 89 1.1× 101 1.4× 63 1.0× 22 514
Pietro Gaglioti Italy 10 338 0.9× 281 0.8× 226 2.8× 110 1.5× 38 0.6× 17 595
Maria Elena Pietrolucci Italy 17 547 1.5× 382 1.1× 81 1.0× 138 1.9× 13 0.2× 48 697
Fang He China 10 212 0.6× 248 0.7× 101 1.2× 40 0.6× 40 0.6× 41 422

Countries citing papers authored by Julia Binder

Since Specialization
Citations

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

Fields of papers citing papers by Julia Binder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Binder

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Binder. A scholar is included among the top collaborators of Julia Binder 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 Julia Binder. Julia Binder 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.
Familiari, Alessandra, C. Di Ilio, Tiziana Fanelli, et al.. (2024). OP02.09: AIRFRAME: artificial intelligence for recognition of fetal brain anomalies from ultrasound images of the first trimester. Ultrasound in Obstetrics and Gynecology. 64(S1). 64–65.
2.
Perkmann‐Nagele, Nicole, et al.. (2024). The Impact of COVID-19 during Pregnancy on Maternal Hemodynamic Function, Angiogenic Markers and Neonatal Outcome. Viruses. 16(6). 868–868. 1 indexed citations
3.
Shi, Hui, Florian Prayer, Christian Našel, et al.. (2024). Multiparametric prenatal imaging characterization of fetal brain edema in Chiari II malformation might help to select candidates for fetal surgery. European Radiology. 34(10). 6384–6395. 2 indexed citations
4.
Binder, Julia, et al.. (2024). Preeclampsia and Future Implications on Growth and Body Composition in Preterm Infants. Nutrients. 16(21). 3627–3627. 2 indexed citations
5.
Krampl‐Bettelheim, Elisabeth, et al.. (2024). EP01.57: Enhancing ultrasound image quality for fetal kidney assessment: a prospective study on influential factors. Ultrasound in Obstetrics and Gynecology. 64(S1). 123–124.
6.
Shi, Hui, Daniela Prayer, Julia Binder, et al.. (2024). Revisiting the Pathophysiology of Intracranial Hemorrhage in Fetuses with Chiari II Malformation: Novel Imaging Biomarkers of Disease Severity?. American Journal of Neuroradiology. 45(10). 1562–1569.
7.
Binder, Julia, et al.. (2023). Effects of Intrauterine Growth Restriction (IUGR) on Growth and Body Composition Compared to Constitutionally Small Infants. Nutrients. 15(19). 4158–4158. 10 indexed citations
8.
Kalafat, Erkan, et al.. (2023). Prognostic value of angiogenic markers in pregnancy with fetal growth restriction. Ultrasound in Obstetrics and Gynecology. 63(5). 619–626. 2 indexed citations
9.
Binder, Julia, et al.. (2023). Longitudinal assessment of angiogenic markers in prediction of adverse outcome in women with confirmed pre‐eclampsia. Ultrasound in Obstetrics and Gynecology. 62(6). 843–851. 6 indexed citations
10.
11.
12.
Schmidbauer, Victor, Michael Weber, M.C. Diogo, et al.. (2021). Mapping Human Fetal Brain Maturation In Vivo Using Quantitative MRI. American Journal of Neuroradiology. 42(11). 2086–2093. 8 indexed citations
13.
Binder, Julia, et al.. (2021). Should angiogenic markers be included in diagnostic criteria of superimposed pre‐eclampsia in women with chronic hypertension?. Ultrasound in Obstetrics and Gynecology. 59(2). 192–201. 9 indexed citations
14.
Prayer, Florian, Amy R. Mehollin‐Ray, Christopher I. Cassady, et al.. (2021). Characterization of the Hyperintense Bronchus Sign as a Fetal MRI Marker of Airway Obstruction. Radiology. 300(2). 423–430. 4 indexed citations
15.
Glinianaia, Svetlana V., Judith Rankin, Asma Khalil, et al.. (2020). Effect of monochorionicity on perinatal outcome and growth discordance in triplet pregnancy: collaborative multicenter study in England, 2000–2013. Ultrasound in Obstetrics and Gynecology. 57(3). 440–448. 10 indexed citations
16.
Perry, Helen, et al.. (2020). Maternal haemodynamic function differs in pre‐eclampsia when it is associated with a small‐for‐gestational‐age newborn: a prospective cohort study. BJOG An International Journal of Obstetrics & Gynaecology. 128(2). 167–175. 13 indexed citations
17.
Perry, Helen, et al.. (2019). Maternal arterial stiffness in hypertensive pregnancies with and without small‐for‐gestational‐age neonate. Ultrasound in Obstetrics and Gynecology. 56(1). 44–50. 12 indexed citations
18.
Diogo, M.C., Sarah Glatter, Julia Binder, Herbert Kiss, & Daniela Prayer. (2019). The MRI spectrum of congenital cytomegalovirus infection. Prenatal Diagnosis. 40(1). 110–124. 54 indexed citations
19.
Kuessel, Lorenz, Harald Zeisler, Gottfried Himmler, et al.. (2018). Dynamics of serum C-type natriuretic peptide as predictor for preeclampsia. Pregnancy Hypertension. 14. 286–292. 4 indexed citations
20.
Kuessel, Lorenz, Harald Zeisler, Robin Ristl, et al.. (2016). The usefulness of CYFRA 21–1 to diagnose and predict preeclampsia: a nested case-control study. BMC Pregnancy and Childbirth. 16(1). 339–339. 6 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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