Andreas Schuh

3.5k total citations
26 papers, 672 citations indexed

About

Andreas Schuh is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Andreas Schuh has authored 26 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Physiology. Recurrent topics in Andreas Schuh's work include Tracheal and airway disorders (6 papers), Medical Image Segmentation Techniques (5 papers) and Obstructive Sleep Apnea Research (5 papers). Andreas Schuh is often cited by papers focused on Tracheal and airway disorders (6 papers), Medical Image Segmentation Techniques (5 papers) and Obstructive Sleep Apnea Research (5 papers). Andreas Schuh collaborates with scholars based in United Kingdom, United States and Belgium. Andreas Schuh's co-authors include Daniel Rueckert, Ricardo Guerrero, Christian Ledig, Rolf A. Heckemann, Alister J. Bates, Jason C. Woods, Raouf Amin, Keith McConnell, Robert J. Fleck and Steen Gregers Hasselbalch and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Applied Physiology.

In The Last Decade

Andreas Schuh

26 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andreas Schuh United Kingdom	16	187	153	143	124	93	26	672
Deepthi Rajashekar Canada	14	126 0.7×	137 0.9×	64 0.4×	55 0.4×	134 1.4×	35	636
Inge W.M. van Uden Netherlands	15	343 1.8×	211 1.4×	181 1.3×	73 0.6×	95 1.0×	17	860
Jean‐Paul Armspach France	18	257 1.4×	197 1.3×	129 0.9×	112 0.9×	248 2.7×	48	960
Emma Lewis United Kingdom	13	313 1.7×	112 0.7×	40 0.3×	104 0.8×	100 1.1×	55	602
Pauline Mouchès Canada	12	121 0.6×	143 0.9×	53 0.4×	72 0.6×	135 1.5×	32	550
Esther E. Bron Netherlands	21	289 1.5×	331 2.2×	88 0.6×	171 1.4×	208 2.2×	67	1.1k
Hans Olofsen Netherlands	13	287 1.5×	156 1.0×	70 0.5×	81 0.7×	166 1.8×	16	723
Vaanathi Sundaresan United Kingdom	9	217 1.2×	84 0.5×	91 0.6×	36 0.3×	86 0.9×	20	509
Robert Donnino United States	16	454 2.4×	143 0.9×	236 1.7×	212 1.7×	224 2.4×	50	1.2k
Mohammed Goryawala United States	17	339 1.8×	130 0.8×	54 0.4×	55 0.4×	228 2.5×	51	785

Countries citing papers authored by Andreas Schuh

Since Specialization

Citations

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

Fields of papers citing papers by Andreas Schuh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Schuh

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

All Works

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20 of 20 papers shown

Schuh, Andreas, A. Karmakar, Kersten Petersen, et al.. (2024). Morphology-Based Non-Rigid Registration of Coronary Computed Tomography and Intravascular Images Through Virtual Catheter Path Optimization. IEEE Transactions on Medical Imaging. 44(2). 880–890. 1 indexed citations

Williams, Logan Z. J., Sean P. Fitzgibbon, Jelena Božek, et al.. (2023). Structural and functional asymmetry of the neonatal cerebral cortex. Nature Human Behaviour. 7(6). 942–955. 22 indexed citations

McConnell, Keith, Andreas Schuh, Robert J. Fleck, et al.. (2023). The interaction between neuromuscular forces, aerodynamic forces, and anatomical motion in the upper airway predicts the severity of pediatric OSA. Journal of Applied Physiology. 136(1). 70–78. 5 indexed citations

Sinclair, Matthew, Andreas Schuh, Kersten Petersen, et al.. (2022). Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks. Medical Image Analysis. 78. 102383–102383. 18 indexed citations

McConnell, Keith, Robert J. Fleck, Christine R. Schuler, et al.. (2022). Computational assessment of upper airway muscular activity in obstructive sleep apnea – In vitro validation. Journal of Biomechanics. 144. 111304–111304. 6 indexed citations

Qiu, Huaqi, Qin Chen, Andreas Schuh, Kerstin Hammernik, & Daniel Rueckert. (2021). Learning Diffeomorphic and Modality-invariant Registration using B-splines.. 645–664. 23 indexed citations

Hysinger, Erik B., Andreas Schuh, Nara S. Higano, et al.. (2021). Neonates With Tracheomalacia Generate Auto-Positive End-Expiratory Pressure via Glottis Closure. CHEST Journal. 160(6). 2168–2177. 7 indexed citations

Schuh, Andreas, et al.. (2020). The effect of airway motion and breathing phase during imaging on CFD simulations of respiratory airflow. Computers in Biology and Medicine. 127. 104099–104099. 26 indexed citations

Tarroni, Giacomo, Wenjia Bai, Ozan Oktay, et al.. (2020). Large-scale Quality Control of Cardiac Imaging in Population Studies: Application to UK Biobank. Scientific Reports. 10(1). 2408–2408. 16 indexed citations

10.

Ball, Gareth, Jakob Seidlitz, Jonathan O’Muircheartaigh, et al.. (2020). Cortical morphology at birth reflects spatiotemporal patterns of gene expression in the fetal human brain. PLoS Biology. 18(11). e3000976–e3000976. 34 indexed citations

11.

Bonthrone, Alexandra F., Christopher Kelly, Lucilio Cordero‐Grande, et al.. (2020). Investigating altered brain development in infants with congenital heart disease using tensor-based morphometry. Scientific Reports. 10(1). 14909–14909. 22 indexed citations

12.

Bonthrone, Alexandra F., Christopher Kelly, Daan Christiaens, et al.. (2020). Reduced structural connectivity in cortico-striatal-thalamic network in neonates with congenital heart disease. NeuroImage Clinical. 28. 102423–102423. 14 indexed citations

13.

Kolbitsch, Christoph, Radhouène Neji, Matthias Fenchel, et al.. (2018). Joint cardiac and respiratory motion estimation for motion-corrected cardiac PET-MR. Physics in Medicine and Biology. 64(1). 15007–15007. 20 indexed citations

14.

Ledig, Christian, Andreas Schuh, Ricardo Guerrero, Rolf A. Heckemann, & Daniel Rueckert. (2018). Structural brain imaging in Alzheimer’s disease and mild cognitive impairment: biomarker analysis and shared morphometry database. Scientific Reports. 8(1). 11258–11258. 101 indexed citations

15.

Tarroni, Giacomo, Ozan Oktay, Wenjia Bai, et al.. (2018). Learning-Based Quality Control for Cardiac MR Images. IEEE Transactions on Medical Imaging. 38(5). 1127–1138. 37 indexed citations

16.

Bates, Alister J., Andreas Schuh, Keith McConnell, et al.. (2018). A novel method to generate dynamic boundary conditions for airway CFD by mapping upper airway movement with non‐rigid registration of dynamic and static MRI. International Journal for Numerical Methods in Biomedical Engineering. 34(12). e3144–e3144. 31 indexed citations

17.

Bates, Alister J., Andreas Schuh, Keith McConnell, et al.. (2017). Assessing the relationship between movement and airflow in the upper airway using computational fluid dynamics with motion determined from magnetic resonance imaging. Clinical Biomechanics. 66. 88–96. 46 indexed citations

18.

Tong, Tong, Christian Ledig, Ricardo Guerrero, et al.. (2017). Five-class differential diagnostics of neurodegenerative diseases using random undersampling boosting. NeuroImage Clinical. 15. 613–624. 32 indexed citations

19.

Koikkalainen, Juha, Hanneke Rhodius‐Meester, Antti Tolonen, et al.. (2016). Differential diagnosis of neurodegenerative diseases using structural MRI data. NeuroImage Clinical. 11. 435–449. 123 indexed citations

20.

Panizzutti, Bruna, Carolina Gubert, Andreas Schuh, et al.. (2015). Increased serum levels of eotaxin/CCL11 in late-stage patients with bipolar disorder: An accelerated aging biomarker?. Journal of Affective Disorders. 182. 64–69. 49 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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