Alexander Sauter

4.8k total citations · 1 hit paper
115 papers, 2.8k citations indexed

About

Alexander Sauter is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Alexander Sauter has authored 115 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Pulmonary and Respiratory Medicine and 17 papers in Oncology. Recurrent topics in Alexander Sauter's work include Medical Imaging Techniques and Applications (23 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and MRI in cancer diagnosis (17 papers). Alexander Sauter is often cited by papers focused on Medical Imaging Techniques and Applications (23 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and MRI in cancer diagnosis (17 papers). Alexander Sauter collaborates with scholars based in Germany, Switzerland and United States. Alexander Sauter's co-authors include Bernd J. Pichler, Thomas Weikert, Joshy Cyriac, Hans F. Wehrl, Shan Yang, Jens Bremerich, Maurice Pradella, Bram Stieltjes, Claus D. Claussen and Gregor Sommer and has published in prestigious journals such as Cancer Research, Scientific Reports and Radiology.

In The Last Decade

Alexander Sauter

110 papers receiving 2.7k 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.

TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images

2023 465 citations Jakob Wasserthal, Hanns‐Christian Breit et al. Radiology Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Sauter Germany	27	1.5k	536	487	404	323	115	2.8k
Hiroshi Kamma Japan	25	1.1k 0.8×	782 1.5×	521 1.1×	887 2.2×	641 2.0×	140	3.2k
Benjamin L. Franc United States	26	1.2k 0.8×	356 0.7×	472 1.0×	417 1.0×	398 1.2×	108	2.6k
Paul T. Weatherall United States	27	1.9k 1.3×	228 0.4×	426 0.9×	224 0.6×	377 1.2×	54	3.9k
Felix Nensa Germany	30	1.8k 1.2×	299 0.6×	638 1.3×	118 0.3×	222 0.7×	167	2.9k
Lorenzo Ugga Italy	26	1.3k 0.9×	419 0.8×	488 1.0×	114 0.3×	224 0.7×	136	2.4k
Ashkan A. Malayeri United States	27	1.2k 0.8×	483 0.9×	1.0k 2.1×	300 0.7×	164 0.5×	107	2.7k
Jean‐Paul Vallée Switzerland	34	1.5k 1.0×	422 0.8×	670 1.4×	400 1.0×	169 0.5×	149	3.3k
Andrew D. Smith United States	28	1.5k 1.0×	391 0.7×	1.3k 2.6×	659 1.6×	446 1.4×	117	3.2k
Daniel P. Barboriak United States	35	1.9k 1.3×	422 0.8×	578 1.2×	248 0.6×	130 0.4×	82	3.6k
Joan C. Vilanova Spain	34	1.3k 0.9×	408 0.8×	935 1.9×	187 0.5×	246 0.8×	143	3.6k

Countries citing papers authored by Alexander Sauter

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Sauter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Sauter

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Sauter. A scholar is included among the top collaborators of Alexander Sauter 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 Alexander Sauter. Alexander Sauter 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

Popescu, Cristina, Thomas Sartoretti, Stephan Skawran, et al.. (2024). Evaluating the biodistribution for [68Ga]Ga-PSMA-11 and [18F]F-PSMA-1007 PET/CT with an inter- and intrapatient based analysis. EJNMMI Research. 14(1). 36–36. 4 indexed citations

Weikert, Thomas, Paul F. Jaeger, Shuyi Yang, et al.. (2023). Automated lung cancer assessment on 18F-PET/CT using Retina U-Net and anatomical region segmentation. European Radiology. 33(6). 4270–4279. 10 indexed citations

Weikert, Thomas, Harold Litt, William H. Moore, et al.. (2023). Reduction in Radiologist Interpretation Time of Serial CT and MR Imaging Findings with Deep Learning Identification of Relevant Priors, Series and Finding Locations. Academic Radiology. 30(10). 2269–2279. 2 indexed citations

Rotzinger, David C., Alexander Sauter, Hatem Alkadhi, et al.. (2022). Acute Pulmonary Embolism in COVID-19: A Potential Connection between Venous Congestion and Thrombus Distribution. Biomedicines. 10(6). 1300–1300. 3 indexed citations

Schmidt, Hanna, Alexander Sauter, Fabian Zech, et al.. (2022). Serially passaged, conditionally reprogrammed nasal epithelial cells as a model to study epithelial functions and SARS-CoV-2 infection. American Journal of Physiology-Cell Physiology. 322(4). C591–C604. 3 indexed citations

Yang, Shan, Thomas Weikert, Jens Bremerich, et al.. (2022). Automated Detection, Segmentation, and Classification of Pericardial Effusions on Chest CT Using a Deep Convolutional Neural Network. Diagnostics. 12(5). 1045–1045. 11 indexed citations

Weikert, Thomas, et al.. (2022). Utilization of Artificial Intelligence–based Intracranial Hemorrhage Detection on Emergent Noncontrast CT Images in Clinical Workflow. Radiology Artificial Intelligence. 4(2). e210168–e210168. 53 indexed citations

Bach, Michael, Shan Yang, Fabian Franzeck, et al.. (2021). Automated CT Lung Density Analysis of Viral Pneumonia and Healthy Lungs Using Deep Learning-Based Segmentation, Histograms and HU Thresholds. Diagnostics. 11(5). 738–738. 11 indexed citations

Qanadli, Salah D., Alexander Sauter, Hatem Alkadhi, et al.. (2021). Vascular Abnormalities Detected with Chest CT in COVID-19: Spectrum, Association with Parenchymal Lesions, Cardiac Changes, and Correlation with Clinical Severity (COVID-CAVA Study). Diagnostics. 11(4). 606–606. 3 indexed citations

10.

Wasserthal, Jakob, Thomas Weikert, Alexander Sauter, et al.. (2021). Automated Detection of Pancreatic Cystic Lesions on CT Using Deep Learning. Diagnostics. 11(5). 901–901. 29 indexed citations

11.

Weikert, Thomas, Saikiran Rapaka, Saša Grbić, et al.. (2021). Prediction of Patient Management in COVID-19 Using Deep Learning-Based Fully Automated Extraction of Cardiothoracic CT Metrics and Laboratory Findings. Korean Journal of Radiology. 22(6). 994–994. 13 indexed citations

12.

Franzeck, Fabian, Christian H. Nickel, Roland Bingisser, et al.. (2021). Deep learning-based automated detection of pulmonary embolism on CT pulmonary angiograms: No significant effects on report communication times and patient turnaround in the emergency department nine months after technical implementation. European Journal of Radiology. 141. 109816–109816. 39 indexed citations

13.

Weikert, Thomas, David Winkel, Jens Bremerich, et al.. (2020). Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm. European Radiology. 30(12). 6545–6553. 98 indexed citations

14.

Henkel, Maurice, Thomas Weikert, Nathalie Schwab, et al.. (2020). Lethal COVID-19: Radiologic-Pathologic Correlation of the Lungs. Radiology Cardiothoracic Imaging. 2(6). e200406–e200406. 21 indexed citations

15.

Weikert, Thomas, Jens Bremerich, Bram Stieltjes, et al.. (2020). Assessment of a Deep Learning Algorithm for the Detection of Rib Fractures on Whole-Body Trauma Computed Tomography. Korean Journal of Radiology. 21(7). 891–891. 69 indexed citations

16.

Weikert, Thomas, Tanja Haas, Markus Klarhöfer, et al.. (2019). Early Prediction of Treatment Response of Neuroendocrine Hepatic Metastases after Peptide Receptor Radionuclide Therapy with ⁹⁰Y-DOTATOC Using Diffusion Weighted and Dynamic Contrast-Enhanced MRI. Contrast Media & Molecular Imaging. 2019. 1–12. 13 indexed citations

17.

Weikert, Thomas, Tugba Akinci D’Antonoli, Jens Bremerich, et al.. (2019). Evaluation of an AI-Powered Lung Nodule Algorithm for Detection and 3D Segmentation of Primary Lung Tumors. Contrast Media & Molecular Imaging. 2019. 1–10. 17 indexed citations

18.

Verse, Thomas, A. Dreher, Clemens Heiser, et al.. (2016). Leitlinie: „HNO-spezifische Therapie der obstruktiven Schlafapnoe bei Erwachsenen“ Kurzfassung. ArGe Schlafmedizin der Deutschen Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie. HNO. 64(5). 310–319. 1 indexed citations

19.

Kolb, Armin, Alexander Sauter, Lars Eriksson, et al.. (2015). Shine-Through in PET/MR Imaging: Effects of the Magnetic Field on Positron Range and Subsequent Image Artifacts. Journal of Nuclear Medicine. 56(6). 951–954. 21 indexed citations

20.

Wehrl, Hans F., Julian Schwab, Kathy Hasenbach, et al.. (2013). Multimodal Elucidation of Choline Metabolism in a Murine Glioma Model Using Magnetic Resonance Spectroscopy and 11C-Choline Positron Emission Tomography. Cancer Research. 73(5). 1470–1480. 31 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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