Marlene Stuempflen

478 total citations · 1 hit paper
16 papers, 201 citations indexed

About

Marlene Stuempflen is a scholar working on Pediatrics, Perinatology and Child Health, Surgery and Molecular Biology. According to data from OpenAlex, Marlene Stuempflen has authored 16 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pediatrics, Perinatology and Child Health, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Marlene Stuempflen's work include Fetal and Pediatric Neurological Disorders (9 papers), Neonatal and fetal brain pathology (6 papers) and Pluripotent Stem Cells Research (2 papers). Marlene Stuempflen is often cited by papers focused on Fetal and Pediatric Neurological Disorders (9 papers), Neonatal and fetal brain pathology (6 papers) and Pluripotent Stem Cells Research (2 papers). Marlene Stuempflen collaborates with scholars based in Austria, Portugal and Switzerland. Marlene Stuempflen's co-authors include Gregor Kasprian, Juergen A. Knoblich, Nina S. Corsini, Angela Maria Peer, Jonas Simon Fleck, Thomas R. Burkard, Ábel Vértesy, Chong Li, Christopher Esk and Ulrich Elling and has published in prestigious journals such as Nature, Radiology and Cell stem cell.

In The Last Decade

Marlene Stuempflen

14 papers receiving 199 citations

Hit Papers

align trajectories

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.

Single-cell brain organoid screening identifies developmental defects in autism

2023 122 citations Chong Li, Jonas Simon Fleck et al. Nature profile →

Peers

Marlene Stuempflen

GENET

PPCH

Filomena Pirozzi Italy

Charlotte E. Handford United States

Andrew Bjonnes United States

Betsy Rezner United States

Xiameng Chen China

Veronica McInerney Ireland

Tim Vanderhasselt Belgium

Ernst Walther Germany

Matthew Batie United States

Filomena Pirozzi Italy

Marlene Stuempflen

121 ×1.1

39 ×1.0

82 ×2.3

GENET

14 ×0.4

23 ×0.9

PPCH

Citations per year, relative to Marlene Stuempflen Marlene Stuempflen (= 1×) peers Filomena Pirozzi

Countries citing papers authored by Marlene Stuempflen

Since Specialization

Citations

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

Fields of papers citing papers by Marlene Stuempflen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marlene Stuempflen

This figure shows the co-authorship network connecting the top 25 collaborators of Marlene Stuempflen. A scholar is included among the top collaborators of Marlene Stuempflen 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 Marlene Stuempflen. Marlene Stuempflen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Berger‐Kulemann, Vanessa, Daniela Prayer, Gregor Kasprian, et al.. (2025). Assessment of fetal hepatic lipid content by magnetic resonance imaging and association of results with clinical maternal and fetal parameters. European Journal of Radiology. 186. 112061–112061.

Schmidbauer, Victor, Katharina Goeral, Michael Weber, et al.. (2024). Quantitative Magnetic Resonance Imaging for Neurodevelopmental Outcome Prediction in Neonates Born Extremely Premature—An Exploratory Study. Clinical Neuroradiology. 34(2). 421–429. 1 indexed citations

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.

Pham, Vincent A., Jaydeep Sidhaye, Maria Novatchkova, et al.. (2024). ARID1B controls transcriptional programs of axon projection in an organoid model of the human corpus callosum. Cell stem cell. 31(6). 866–885.e14. 17 indexed citations

Lirk, Philipp, et al.. (2024). PROcedure-SPECific postoperative pain management guideline for laparoscopic colorectal surgery. European Journal of Anaesthesiology. 41(3). 161–173. 9 indexed citations

Milos, Ruxandra‐Iulia, Daria Kifjak, Dietmar Tamandl, et al.. (2024). Accuracy of Ultralow-Dose Photon-counting CT in the Detection of Lung Changes after Lung Transplant. Radiology. 312(3). e240271–e240271. 6 indexed citations

Li, Chong, Jonas Simon Fleck, Thomas R. Burkard, et al.. (2023). Single-cell brain organoid screening identifies developmental defects in autism. Nature. 621(7978). 373–380. 122 indexed citations breakdown →

Stuempflen, Marlene, Ernst Schwartz, M.C. Diogo, et al.. (2023). Fetal MRI based brain atlas analysis detects initial in utero effects of prenatal alcohol exposure. Cerebral Cortex. 33(11). 6852–6861. 4 indexed citations

Prayer, Daniela, Julia Binder, Florian Prayer, et al.. (2023). SARS-CoV-2 variant-related abnormalities detected by prenatal MRI: a prospective case–control study. The Lancet Regional Health - Europe. 26. 100587–100587. 9 indexed citations

10.

Stuempflen, Marlene, Victor Schmidbauer, Christian Mitter, et al.. (2023). Ganglionic eminence: volumetric assessment of transient brain structure utilizing fetal magnetic resonance imaging. Ultrasound in Obstetrics and Gynecology. 62(3). 405–413. 4 indexed citations

11.

Schmidbauer, Victor, Michael Weber, M.C. Diogo, et al.. (2022). Synthetic MR Imaging–Based WM Signal Suppression Identifies Neonatal Brainstem Pathways in Vivo. American Journal of Neuroradiology. 43(12). 1817–1823. 3 indexed citations

12.

Mlczoch, Elisabeth, Gregor Kasprian, Daniel Zimpfer, et al.. (2022). Discordant Post-natal Patterns in Fetuses With Heterotaxy Syndrome: A Retrospective Single-Centre Series on Outcome After Fetal Diagnosis. Frontiers in Pediatrics. 10. 908505–908505. 4 indexed citations

13.

Prayer, Daniela, Julia Binder, Florian Prayer, et al.. (2022). SARS-CoV-2 Variant-Related Abnormalities Detected by Prenatal MRI: A Prospective Case-Control Study. SSRN Electronic Journal. 2 indexed citations

14.

Li, Chong, Jonas Simon Fleck, Thomas R. Burkard, et al.. (2022). Single-cell brain organoid screening identifies developmental defects in autism. Repository for Publications and Research Data (ETH Zurich). 8 indexed citations

15.

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

16.

Kasprian, Gregor, Ahmed Ba‐Ssalamah, Marlene Stuempflen, et al.. (2021). Characterization of phenotypic spectrum of fetal heterotaxy syndrome by combining ultrasound and magnetic resonance imaging. Ultrasound in Obstetrics and Gynecology. 58(6). 837–845. 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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