Andreas Brendlin

403 total citations
35 papers, 235 citations indexed

About

Andreas Brendlin is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Andreas Brendlin has authored 35 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Biomedical Engineering and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Andreas Brendlin's work include Advanced X-ray and CT Imaging (20 papers), Radiation Dose and Imaging (18 papers) and Medical Imaging Techniques and Applications (15 papers). Andreas Brendlin is often cited by papers focused on Advanced X-ray and CT Imaging (20 papers), Radiation Dose and Imaging (18 papers) and Medical Imaging Techniques and Applications (15 papers). Andreas Brendlin collaborates with scholars based in Germany, United States and South Korea. Andreas Brendlin's co-authors include Saif Afat, Ahmed E. Othman, Konstantin Nikolaou, Haidara Almansour, Sebastian Gassenmaier, Christoph Artzner, Judith Herrmann, Thomas Eigentler, Ilias Tsiflikas and Malte N. Bongers and has published in prestigious journals such as European Journal of Nuclear Medicine and Molecular Imaging, European Radiology and Cancers.

In The Last Decade

Andreas Brendlin

33 papers receiving 232 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 Brendlin Germany 10 192 96 43 33 16 35 235
Yuji Iyama Japan 12 291 1.5× 172 1.8× 72 1.7× 10 0.3× 11 0.7× 33 362
Sajad P. Shayesteh Iran 6 219 1.1× 77 0.8× 41 1.0× 71 2.2× 21 1.3× 9 240
Leonid Roshkovan United States 10 98 0.5× 48 0.5× 97 2.3× 23 0.7× 4 0.3× 37 184
Peijie Lyu China 8 238 1.2× 111 1.2× 67 1.6× 74 2.2× 9 0.6× 23 298
Louis Deprez Belgium 2 160 0.8× 43 0.4× 63 1.5× 29 0.9× 14 0.9× 8 202
Shier Nee Saw Malaysia 11 84 0.4× 47 0.5× 29 0.7× 14 0.4× 41 2.6× 25 290
Sohee Park South Korea 13 344 1.8× 70 0.7× 287 6.7× 37 1.1× 36 2.3× 27 459
Philipp Fervers Germany 9 125 0.7× 44 0.5× 23 0.5× 17 0.5× 63 3.9× 23 239
M Chetan United Kingdom 6 173 0.9× 51 0.5× 121 2.8× 45 1.4× 3 0.2× 13 231
Gianmarco Della Pepa Italy 8 121 0.6× 18 0.2× 51 1.2× 35 1.1× 35 2.2× 21 204

Countries citing papers authored by Andreas Brendlin

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Brendlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Brendlin

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Brendlin. A scholar is included among the top collaborators of Andreas Brendlin 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 Brendlin. Andreas Brendlin 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.
Reischl, Gerald, et al.. (2025). Low-activity [18F]-somatostatin receptor (SSTR) imaging using [18F]SiTATE on a long axial field-of-view PET/CT scanner. EJNMMI Physics. 12(1). 13–13. 1 indexed citations
2.
Streich, Sebastian, Ruth Ladurner, Sebastian Gassenmaier, et al.. (2025). Evaluation of a Deep Learning Denoising Algorithm for Dose Reduction in Whole-Body Photon-Counting CT Imaging: A Cadaveric Study. Academic Radiology. 32(6). 3519–3531.
3.
Nikolaou, Konstantin, et al.. (2024). Deep-learning denoising minimizes radiation exposure in neck CT beyond the limits of conventional reconstruction. European Journal of Radiology. 178. 111523–111523. 2 indexed citations
4.
Brendlin, Andreas, Gerd Grözinger, Haidara Almansour, et al.. (2024). Enhancing Cone-Beam CT Image Quality in TIPSS Procedures Using AI Denoising. Diagnostics. 14(17). 1989–1989. 1 indexed citations
5.
Reischl, Gerald, et al.. (2024). Focal Unspecific Bone Uptake on [18F]PSMA-1007 PET: Evaluation Analog PROMISE Criteria and Validation via PET/CT Follow-Up. Diagnostics. 14(20). 2327–2327. 1 indexed citations
6.
Nikolaou, Konstantin, et al.. (2024). Deep Learning-Based Denoising Enables High-Quality, Fully Diagnostic Neuroradiological Trauma CT at 25% Radiation Dose. Academic Radiology. 32(1). 373–390. 1 indexed citations
7.
Brendlin, Andreas, Gerald Reischl, Frank Paulsen, et al.. (2024). PSMA-Guided Imaging and Therapy of Advanced Adenoid Cystic Carcinomas and Other Salivary Gland Carcinomas. Cancers. 16(22). 3843–3843.
8.
Brendlin, Andreas, et al.. (2024). Evaluating ChatGPT-4V in chest CT diagnostics: a critical image interpretation assessment. Japanese Journal of Radiology. 42(10). 1168–1177. 16 indexed citations
9.
Vega, Salvador Castaneda, et al.. (2023). Image Quality and Quantitative PET Parameters of Low-Dose [18F]FDG PET in a Long Axial Field-of-View PET/CT Scanner. Diagnostics. 13(20). 3240–3240. 17 indexed citations
10.
Yel, İbrahim, Thomas J. Vogl, Vitali Koch, et al.. (2023). Diagnosis of an Acute Anterior Wall Infarction in Dual-Energy CT. Diagnostics. 13(4). 761–761. 1 indexed citations
11.
Brendlin, Andreas, Haidara Almansour, Salvador Castaneda Vega, et al.. (2023). How Real Are Computed Tomography Low Dose Simulations? An Investigational In-Vivo Large Animal Study. Academic Radiology. 30(8). 1678–1694. 4 indexed citations
12.
Stahl, Stéphane, Dominik Dannehl, Adrien Daigeler, et al.. (2023). Definitions of Abnormal Breast Size and Asymmetry: A Cohort Study of 400 Women. Aesthetic Plastic Surgery. 47(6). 2242–2252. 3 indexed citations
13.
Herrmann, Judith, Thomas Benkert, Andreas Brendlin, et al.. (2023). Shortening Acquisition Time and Improving Image Quality for Pelvic MRI Using Deep Learning Reconstruction for Diffusion-Weighted Imaging at 1.5 T. Academic Radiology. 31(3). 921–928. 5 indexed citations
14.
Brendlin, Andreas, et al.. (2023). Novel Deep Learning Denoising Enhances Image Quality and Lowers Radiation Exposure in Interventional Bronchial Artery Embolization Cone Beam CT. Academic Radiology. 31(5). 2144–2155. 5 indexed citations
15.
Gassenmaier, Sebastian, Andreas Brendlin, Sven S. Walter, et al.. (2022). Low-Dose CT for Renal Calculi Detection Using Spectral Shaping of High Tube Voltage. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 194(9). 1012–1019. 2 indexed citations
16.
17.
Brendlin, Andreas, et al.. (2022). AI Denoising Significantly Improves Image Quality in Whole-Body Low-Dose Computed Tomography Staging. Diagnostics. 12(1). 225–225. 20 indexed citations
18.
19.
Afat, Saif, Sven S. Walter, Vincent Schwarze, et al.. (2020). Diagnostic Performance of Different Simulated Low-Dose Levels in Patients with Suspected Cervical Abscess Using a Third-Generation Dual-Source CT Scanner. Diagnostics. 10(12). 1072–1072. 6 indexed citations
20.
Walter, Sven S., et al.. (2020). Effects of radiation dose reduction on diagnostic performance of 3rd generation Dual Source CT pulmonary angiography. European Journal of Radiology. 134. 109426–109426. 13 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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