Alexia Egloff

735 total citations
29 papers, 328 citations indexed

About

Alexia Egloff is a scholar working on Pediatrics, Perinatology and Child Health, Surgery and Epidemiology. According to data from OpenAlex, Alexia Egloff has authored 29 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pediatrics, Perinatology and Child Health, 9 papers in Surgery and 9 papers in Epidemiology. Recurrent topics in Alexia Egloff's work include Fetal and Pediatric Neurological Disorders (15 papers), Neonatal and fetal brain pathology (7 papers) and Congenital Diaphragmatic Hernia Studies (7 papers). Alexia Egloff is often cited by papers focused on Fetal and Pediatric Neurological Disorders (15 papers), Neonatal and fetal brain pathology (7 papers) and Congenital Diaphragmatic Hernia Studies (7 papers). Alexia Egloff collaborates with scholars based in United Kingdom, United States and Spain. Alexia Egloff's co-authors include Dorothy Bulas, Mary Rutherford, Jana Hutter, Joseph V. Hajnal, Lisa Story, Alena Uus, Maria Deprez, Serena J. Counsell, Jacqueline Matthew and A. David Edwards and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.

In The Last Decade

Alexia Egloff

26 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexia Egloff United Kingdom 10 165 79 77 72 49 29 328
Anna Derman United States 8 120 0.7× 71 0.9× 45 0.6× 32 0.4× 131 2.7× 14 559
Süreyya Burcu Görkem Türkiye 14 59 0.4× 46 0.6× 113 1.5× 102 1.4× 28 0.6× 48 427
Uiko Hanaoka Japan 14 293 1.8× 62 0.8× 150 1.9× 32 0.4× 91 1.9× 46 482
Maria Deprez United Kingdom 14 285 1.7× 125 1.6× 65 0.8× 155 2.2× 31 0.6× 44 448
Uday S. Kanamalla United States 10 104 0.6× 100 1.3× 70 0.9× 33 0.5× 7 0.1× 12 343
Pouria Yazdian Anari Iran 11 24 0.1× 40 0.5× 64 0.8× 64 0.9× 22 0.4× 36 274
Shawn M. McGee United States 7 102 0.6× 35 0.4× 84 1.1× 37 0.5× 18 0.4× 16 348
Lisa Simmons Australia 9 170 1.0× 141 1.8× 114 1.5× 75 1.0× 315 6.4× 15 702
Alessandra Tomei Italy 11 188 1.1× 48 0.6× 69 0.9× 93 1.3× 114 2.3× 14 341
Alena Uus United Kingdom 10 183 1.1× 68 0.9× 53 0.7× 86 1.2× 24 0.5× 50 310

Countries citing papers authored by Alexia Egloff

Since Specialization
Citations

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

Fields of papers citing papers by Alexia Egloff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexia Egloff

This figure shows the co-authorship network connecting the top 25 collaborators of Alexia Egloff. A scholar is included among the top collaborators of Alexia Egloff 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 Alexia Egloff. Alexia Egloff 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.
2.
Payette, Kelly, Alena Uus, Megan Hall, et al.. (2024). Fetal body organ T2* relaxometry at low field strength (FOREST). Medical Image Analysis. 99. 103352–103352. 4 indexed citations
3.
Matthew, Jacqueline, Alena Uus, Alexia Egloff, et al.. (2024). Automated craniofacial biometry with 3D T2w fetal MRI. SHILAP Revista de lepidopterología. 3(12). e0000663–e0000663.
4.
Matthew, Jacqueline, Alena Uus, Robert Wright, et al.. (2024). Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models. BMC Medical Imaging. 24(1). 52–52. 3 indexed citations
5.
Dassios, Theodore, À Milan, Vanessa Kyriakopoulou, et al.. (2024). Correlation of fetal lung area with MRI derived pulmonary volume. Early Human Development. 194. 106047–106047.
6.
Vecchiato, Katy, Daniel Cromb, Anderson M. Winkler, et al.. (2023). Widespread, depth‐dependent cortical microstructure alterations in pediatric focal epilepsy. Epilepsia. 65(3). 739–752. 1 indexed citations
7.
Cromb, Daniel, Paddy J. Slator, Anthony N. Price, et al.. (2023). Assessing within‐subject rates of change of placental MRI diffusion metrics in normal pregnancy. Magnetic Resonance in Medicine. 90(3). 1137–1150. 6 indexed citations
8.
Cromb, Daniel, Alexandra F. Bonthrone, Ralica Dimitrova, et al.. (2023). Individual Assessment of Perioperative Brain Growth Trajectories in Infants With Congenital Heart Disease: Correlation With Clinical and Surgical Risk Factors. Journal of the American Heart Association. 12(14). e028565–e028565. 6 indexed citations
9.
Hall, Megan, Jana Hutter, Alena Uus, et al.. (2023). Adrenal volumes in fetuses delivering prior to 32 weeks' gestation: An MRI pilot study. Acta Obstetricia Et Gynecologica Scandinavica. 103(3). 512–521. 1 indexed citations
10.
Story, Lisa, Megan Hall, Tom Finck, et al.. (2023). Reliability and Feasibility of Low-Field-Strength Fetal MRI at 0.55 T during Pregnancy. Radiology. 309(1). e223050–e223050. 13 indexed citations
11.
Johnson, Sarah, et al.. (2022). Discordant Congenital Toxoplasmosis and Cytomegalovirus Infection in Dichorionic Diamniotic Twins. The Pediatric Infectious Disease Journal. 41(9). e377–e382. 1 indexed citations
12.
Davidson, Joseph, Alena Uus, Alexia Egloff, et al.. (2022). Motion corrected fetal body magnetic resonance imaging provides reliable 3D lung volumes in normal and abnormal fetuses. Prenatal Diagnosis. 42(5). 628–635. 13 indexed citations
13.
Vecchiato, Katy, Alexia Egloff, Olivia Carney, et al.. (2021). Evaluation of DISORDER: Retrospective Image Motion Correction for Volumetric Brain MRI in a Pediatric Setting. American Journal of Neuroradiology. 42(4). 774–781. 6 indexed citations
14.
Davidson, Joseph, Jacqueline Matthew, David Lloyd, et al.. (2021). Fetal magnetic resonance imaging (MRI) enhances the diagnosis of congenital body anomalies. Journal of Pediatric Surgery. 57(2). 239–244. 4 indexed citations
15.
Hutter, Jana, Jacqueline Matthew, Tong Zhang, et al.. (2021). Assessment of the fetal thymus gland: Comparing MRI-acquired thymus volumes with 2D ultrasound measurements. European Journal of Obstetrics & Gynecology and Reproductive Biology. 264. 1–7. 2 indexed citations
16.
17.
Story, Lisa, Caroline L. Knight, Alison Ho, et al.. (2021). Maternal and fetal incidental findings on antenatal magnetic resonance imaging. Pediatric Radiology. 51(10). 1839–1847. 3 indexed citations
18.
Story, Lisa, Tong Zhang, Alena Uus, et al.. (2020). Antenatal thymus volumes in fetuses that delivered <32 weeks' gestation: An MRI pilot study. Acta Obstetricia Et Gynecologica Scandinavica. 100(6). 1040–1050. 15 indexed citations
19.
Egloff, Alexia & Dorothy Bulas. (2015). Magnetic Resonance Imaging Evaluation of Fetal Neural Tube Defects. Seminars in Ultrasound CT and MRI. 36(6). 487–500. 21 indexed citations
20.
Bulas, Dorothy & Alexia Egloff. (2013). Benefits and risks of MRI in pregnancy. Seminars in Perinatology. 37(5). 301–304. 130 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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