Anja Braune

697 total citations
37 papers, 459 citations indexed

About

Anja Braune is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Anja Braune has authored 37 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pulmonary and Respiratory Medicine, 10 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Anja Braune's work include Respiratory Support and Mechanisms (21 papers), Medical Imaging Techniques and Applications (6 papers) and Neonatal Respiratory Health Research (5 papers). Anja Braune is often cited by papers focused on Respiratory Support and Mechanisms (21 papers), Medical Imaging Techniques and Applications (6 papers) and Neonatal Respiratory Health Research (5 papers). Anja Braune collaborates with scholars based in Germany, United States and Italy. Anja Braune's co-authors include Jörg Kotzerke, Marcelo Gama de Abreu, Paolo Pelosi, Robert Huhle, Tilo Winkler, Thomas Bluth, Thomas Kiss, Michael Andreeff, Andreas Güldner and Martin Scharffenberg and has published in prestigious journals such as Journal of Applied Physiology, Critical Care Medicine and Anesthesiology.

In The Last Decade

Anja Braune

32 papers receiving 454 citations

Peers

Anja Braune
Joo Sung Sun South Korea
Pétur Hannesson Sweden
Joseph DiRocco United States
Ciro Eduardo Souza Brazil
Thorsten Leibecke Germany
Ulysse G. McCann United States
K Kaneko Japan
Marcos F. Vidal Melo United States
Marco Lattuada Italy
Niels Jacobsen Denmark
Joo Sung Sun South Korea
Anja Braune
Citations per year, relative to Anja Braune Anja Braune (= 1×) peers Joo Sung Sun

Countries citing papers authored by Anja Braune

Since Specialization
Citations

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

Fields of papers citing papers by Anja Braune

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anja Braune

This figure shows the co-authorship network connecting the top 25 collaborators of Anja Braune. A scholar is included among the top collaborators of Anja Braune 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 Anja Braune. Anja Braune 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.
Braune, Anja, René Hosch, David Kersting, et al.. (2025). External phantom-based validation of a deep-learning network trained for upscaling of digital low count PET data. EJNMMI Physics. 12(1). 38–38. 1 indexed citations
2.
Braune, Anja, Enrico Michler, Matthias Trenner, et al.. (2024). Aortic Vascular Graft and Endograft Infection–Patient Outcome Cannot Be Determined Based on Pre-Operative Characteristics. Journal of Clinical Medicine. 13(1). 269–269.
3.
Mix, Michael, Martin T. Freitag, Tobias Hölscher, et al.. (2024). The impact of multicentric datasets for the automated tumor delineation in primary prostate cancer using convolutional neural networks on 18F-PSMA-1007 PET. Radiation Oncology. 19(1). 106–106. 6 indexed citations
4.
Maus, Jens, Frank Hofheinz, Jan Petr, et al.. (2024). Deep learning based bilateral filtering for edge-preserving denoising of respiratory-gated PET. EJNMMI Physics. 11(1). 58–58. 5 indexed citations
5.
Braune, Anja, et al.. (2024). Gamma camera imaging characteristics of 166Ho and 99mTc used in Selective Internal Radiation Therapy. EJNMMI Physics. 11(1). 35–35. 1 indexed citations
6.
Hofheinz, Frank, et al.. (2023). An unsupervised deep learning framework for respiratory motion correction in PET. Nuklearmedizin - NuclearMedicine. 62(2). 116–116.
7.
Vivona, Luigi, Robert Huhle, Anja Braune, et al.. (2023). Variable ventilation versus stepwise lung recruitment manoeuvres for lung recruitment. European Journal of Anaesthesiology. 40(7). 501–510. 2 indexed citations
8.
Ball, Lorenzo, Anja Braune, Andreas Güldner, et al.. (2022). Changes in lung aeration and respiratory function after open abdominal surgery: A quantitative magnetic resonance imaging study. Acta Anaesthesiologica Scandinavica. 66(8). 944–953. 1 indexed citations
9.
Hoberück, Sebastian, Steffen Löck, Angelika Borkowetz, et al.. (2021). Intraindividual comparison of [68 Ga]-Ga-PSMA-11 and [18F]-F-PSMA-1007 in prostate cancer patients: a retrospective single-center analysis. EJNMMI Research. 11(1). 109–109. 44 indexed citations
10.
Scharffenberg, Martin, Jakob Wittenstein, Xi Ran, et al.. (2021). Mechanical Power Correlates With Lung Inflammation Assessed by Positron-Emission Tomography in Experimental Acute Lung Injury in Pigs. Frontiers in Physiology. 12. 717266–717266. 9 indexed citations
11.
Wittenstein, Jakob, Martin Scharffenberg, Anja Braune, et al.. (2020). Effects of variable versus nonvariable controlled mechanical ventilation on pulmonary inflammation in experimental acute respiratory distress syndrome in pigs. British Journal of Anaesthesia. 124(4). 430–439. 9 indexed citations
12.
Bluth, Thomas, Thomas Kiss, Michael Kircher, et al.. (2019). Measurement of relative lung perfusion with electrical impedance and positron emission tomography: an experimental comparative study in pigs. British Journal of Anaesthesia. 123(2). 246–254. 51 indexed citations
13.
Braune, Anja, Frank Hofheinz, Thomas Bluth, et al.. (2019). Comparison of Static and Dynamic 18F-FDG PET/CT for Quantification of Pulmonary Inflammation in Acute Lung Injury. Journal of Nuclear Medicine. 60(11). 1629–1634. 24 indexed citations
14.
15.
Hoberück, Sebastian, Enrico Michler, Gerd Wunderlich, et al.. (2019). 68Ga-RM2 PET in PSMA- positive and -negative prostate cancer patients. Nuklearmedizin - NuclearMedicine. 58(5). 352–362. 12 indexed citations
16.
Ball, Lorenzo, Anja Braune, Peter Spieth, et al.. (2018). Magnetic Resonance Imaging for Quantitative Assessment of Lung Aeration: A Pilot Translational Study. Frontiers in Physiology. 9. 1120–1120. 3 indexed citations
17.
Spieth, Peter, Andreas Güldner, Christopher Uhlig, et al.. (2017). Variable versus conventional lung protective mechanical ventilation during open abdominal surgery (PROVAR): a randomised controlled trial. British Journal of Anaesthesia. 120(3). 581–591. 16 indexed citations
18.
Ball, Lorenzo, Anja Braune, Francesco Corradi, et al.. (2017). Ultra-low-dose sequential computed tomography for quantitative lung aeration assessment—a translational study. Intensive Care Medicine Experimental. 5(1). 19–19. 12 indexed citations
19.
20.
Güldner, Andreas, Anja Braune, Alessandro Beda, et al.. (2014). Higher Levels of Spontaneous Breathing Induce Lung Recruitment and Reduce Global Stress/Strain in Experimental Lung Injury. Anesthesiology. 120(3). 673–682. 40 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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