Andreas Stadlbauer

4.0k total citations
110 papers, 3.0k citations indexed

About

Andreas Stadlbauer is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Andreas Stadlbauer has authored 110 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Genetics and 16 papers in Cellular and Molecular Neuroscience. Recurrent topics in Andreas Stadlbauer's work include Advanced MRI Techniques and Applications (52 papers), MRI in cancer diagnosis (30 papers) and Advanced Neuroimaging Techniques and Applications (24 papers). Andreas Stadlbauer is often cited by papers focused on Advanced MRI Techniques and Applications (52 papers), MRI in cancer diagnosis (30 papers) and Advanced Neuroimaging Techniques and Applications (24 papers). Andreas Stadlbauer collaborates with scholars based in Germany, Austria and United States. Andreas Stadlbauer's co-authors include Oliver Ganslandt, Stephan Gruber, Michael Buchfelder, Ewald Moser, Thilo Hammen, Erich Salomonowitz, Christopher Nimsky, Katja Pinker, Rolf Buslei and Wolfgang Bogner and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Andreas Stadlbauer

106 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Stadlbauer Germany 31 2.1k 756 335 319 202 110 3.0k
David Wikler Belgium 32 1.5k 0.7× 1.4k 1.9× 334 1.0× 276 0.9× 159 0.8× 74 3.1k
Akifumi Hagiwara Japan 28 1.9k 0.9× 223 0.3× 360 1.1× 271 0.8× 125 0.6× 151 2.7k
Emmanuel Barbier France 36 2.3k 1.1× 569 0.8× 322 1.0× 344 1.1× 542 2.7× 144 4.4k
James R. Ewing United States 34 2.2k 1.0× 550 0.7× 279 0.8× 168 0.5× 538 2.7× 149 4.3k
Daniel J. Tozer United Kingdom 30 1.7k 0.8× 428 0.6× 102 0.3× 219 0.7× 292 1.4× 76 2.9k
Andrei I. Holodny United States 41 2.9k 1.3× 1.2k 1.6× 284 0.8× 1.2k 3.7× 379 1.9× 194 5.2k
Kyousuke Kamada Japan 29 1.2k 0.6× 435 0.6× 360 1.1× 977 3.1× 130 0.6× 127 2.8k
Deqiang Qiu United States 27 1.3k 0.6× 268 0.4× 192 0.6× 737 2.3× 170 0.8× 85 2.6k
Thilo Hammen Germany 26 1.0k 0.5× 313 0.4× 449 1.3× 401 1.3× 123 0.6× 57 2.0k
Mary A. McLean United Kingdom 34 2.2k 1.0× 240 0.3× 585 1.7× 391 1.2× 447 2.2× 102 3.5k

Countries citing papers authored by Andreas Stadlbauer

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Stadlbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Stadlbauer

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Stadlbauer. A scholar is included among the top collaborators of Andreas Stadlbauer 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 Stadlbauer. Andreas Stadlbauer 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.
Stadlbauer, Andreas, Katarina Nikolić, Stefan Oberndorfer, et al.. (2024). Machine Learning-Based Prediction of Glioma IDH Gene Mutation Status Using Physio-Metabolic MRI of Oxygen Metabolism and Neovascularization (A Bicenter Study). Cancers. 16(6). 1102–1102. 5 indexed citations
2.
Amani, Ali Moradi, Amirhessam Tahmassebi, Andreas Stadlbauer, et al.. (2024). Controllability of Functional and Structural Brain Networks. Complexity. 2024(1).
3.
4.
Meyer‐Baese, Anke, Kerstin Jütten, Uwe Meyer‐Baese, et al.. (2023). Controllability and Robustness of Functional and Structural Connectomic Networks in Glioma Patients. Cancers. 15(10). 2714–2714. 2 indexed citations
5.
Zhao, Yining, Martin Regensburger, Andreas Stadlbauer, et al.. (2022). Deep Brain Stimulation, Stereotactic Radiosurgery and High-Intensity Focused Ultrasound Targeting the Limbic Pain Matrix: A Comprehensive Review. Pain and Therapy. 11(2). 459–476. 14 indexed citations
6.
Kinfe, Thomas M., et al.. (2022). Deep brain stimulation and stereotactic-assisted brain graft injection targeting fronto-striatal circuits for Huntington’s disease: an update. Expert Review of Neurotherapeutics. 22(9). 781–788. 3 indexed citations
7.
Stadlbauer, Andreas, Franz Marhold, Stefan Oberndorfer, et al.. (2022). Radiophysiomics: Brain Tumors Classification by Machine Learning and Physiological MRI Data. Cancers. 14(10). 2363–2363. 34 indexed citations
8.
Stadlbauer, Andreas, Franz Marhold, Stefan Oberndorfer, et al.. (2021). Metabolic Tumor Microenvironment Characterization of Contrast Enhancing Brain Tumors Using Physiologic MRI. Metabolites. 11(10). 668–668. 10 indexed citations
9.
Stadlbauer, Andreas, Stefan Oberndorfer, Gertraud Heinz‐Peer, et al.. (2021). Hypoxia and Microvascular Alterations Are Early Predictors of IDH-Mutated Anaplastic Glioma Recurrence. Cancers. 13(8). 1797–1797. 3 indexed citations
10.
Maslarova, Anna, Shafqat Rasul Chaudhry, Julia E. Kohn, et al.. (2020). Burst Motor Cortex Stimulation Evokes Sustained Suppression of Thalamic Stroke Pain: A Narrative Review and Single-Case Overview. Pain and Therapy. 10(1). 101–114. 4 indexed citations
11.
Kinfe, Thomas M., Andreas Stadlbauer, Klemens Winder, René Hurlemann, & Michael Buchfelder. (2020). Incisionless MR-guided focused ultrasound: technical considerations and current therapeutic approaches in psychiatric disorders. Expert Review of Neurotherapeutics. 20(7). 687–696. 10 indexed citations
12.
Bennani‐Baïti, Barbara, Katja Pinker, Max Zimmermann, et al.. (2020). Non-Invasive Assessment of Hypoxia and Neovascularization with MRI for Identification of Aggressive Breast Cancer. Cancers. 12(8). 2024–2024. 14 indexed citations
13.
Stadlbauer, Andreas, Thomas M. Kinfe, Ilker Y. Eyüpoglu, et al.. (2020). Tissue Hypoxia and Alterations in Microvascular Architecture Predict Glioblastoma Recurrence in Humans. Clinical Cancer Research. 27(6). 1641–1649. 24 indexed citations
14.
Kinfe, Thomas M., et al.. (2020). The Diagnostic and Therapeutic Role of Leptin and Its Receptor ObR in Glioblastoma Multiforme. Cancers. 12(12). 3691–3691. 8 indexed citations
15.
Stadlbauer, Andreas, Ilker Y. Eyüpoglu, Michael Buchfelder, et al.. (2019). Vascular architecture mapping for early detection of glioblastoma recurrence. Neurosurgical FOCUS. 47(6). E14–E14. 18 indexed citations
16.
Verburg, Niels, F.W.A. Hoefnagels, Frederik Barkhof, et al.. (2017). Diagnostic Accuracy of Neuroimaging to Delineate Diffuse Gliomas within the Brain: A Meta-Analysis. American Journal of Neuroradiology. 38(10). 1884–1891. 37 indexed citations
17.
Meyer‐Baese, Anke, Rodney G. Roberts, I. Álvarez, et al.. (2017). Dynamical Graph Theory Networks Methods for the Analysis of Sparse Functional Connectivity Networks and for Determining Pinning Observability in Brain Networks. Frontiers in Computational Neuroscience. 11. 87–87. 8 indexed citations
18.
Mennecke, Angelika, Thilo Hammen, Arnd Dörfler, et al.. (2014). Physiological effects of cigarette smoking in the limbic system revealed by 3 tesla magnetic resonance spectroscopy. Journal of Neural Transmission. 121(10). 1211–1219. 22 indexed citations
19.
Stadlbauer, Andreas, Erich Salomonowitz, Guido Strunk, Thilo Hammen, & Oliver Ganslandt. (2007). Quantitative diffusion tensor fiber tracking of age-related changes in the limbic system. European Radiology. 18(1). 130–137. 58 indexed citations
20.
Stadlbauer, Andreas, Oliver Ganslandt, Rolf Buslei, et al.. (2006). Gliomas: Histopathologic Evaluation of Changes in Directionality and Magnitude of Water Diffusion at Diffusion-Tensor MR Imaging. Radiology. 240(3). 803–810. 154 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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