Markus Oechsner

1.4k total citations
73 papers, 967 citations indexed

About

Markus Oechsner is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Markus Oechsner has authored 73 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Radiation, 31 papers in Pulmonary and Respiratory Medicine and 29 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Markus Oechsner's work include Advanced Radiotherapy Techniques (41 papers), Medical Imaging Techniques and Applications (18 papers) and Breast Cancer Treatment Studies (17 papers). Markus Oechsner is often cited by papers focused on Advanced Radiotherapy Techniques (41 papers), Medical Imaging Techniques and Applications (18 papers) and Breast Cancer Treatment Studies (17 papers). Markus Oechsner collaborates with scholars based in Germany, Switzerland and Austria. Markus Oechsner's co-authors include Stephanie E. Combs, Marciana Nona Duma, Kai J. Borm, Jan J. Wilkens, Kerstin A. Kessel, Stefan Münch, Bernhard Meyer, Christoph Straube, Daniel Habermehl and Stephanie E. Combs and has published in prestigious journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and Magnetic Resonance in Medicine.

In The Last Decade

Markus Oechsner

72 papers receiving 960 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Oechsner Germany 18 423 408 402 240 231 73 967
Klaus Bratengeier Germany 16 397 0.9× 439 1.1× 280 0.7× 287 1.2× 147 0.6× 55 907
John Cuaron United States 17 444 1.0× 310 0.8× 323 0.8× 157 0.7× 216 0.9× 67 1.0k
Ákos Gulybán Belgium 17 441 1.0× 575 1.4× 460 1.1× 177 0.7× 202 0.9× 60 960
Riccardo Santoni Italy 19 646 1.5× 327 0.8× 393 1.0× 175 0.7× 118 0.5× 69 1.1k
Sujay A. Vora United States 21 864 2.0× 520 1.3× 314 0.8× 186 0.8× 89 0.4× 84 1.3k
Nalee Kim South Korea 17 242 0.6× 229 0.6× 293 0.7× 174 0.7× 154 0.7× 76 884
Vincenzo Fusco Italy 15 368 0.9× 340 0.8× 309 0.8× 242 1.0× 54 0.2× 70 848
Gillian Whitfield United Kingdom 15 262 0.6× 208 0.5× 242 0.6× 152 0.6× 115 0.5× 57 705
Franziska Walter Germany 19 481 1.1× 429 1.1× 454 1.1× 148 0.6× 127 0.5× 48 959
Truus Reynders Belgium 18 568 1.3× 938 2.3× 659 1.6× 117 0.5× 150 0.6× 35 1.1k

Countries citing papers authored by Markus Oechsner

Since Specialization
Citations

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

Fields of papers citing papers by Markus Oechsner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Oechsner

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Oechsner. A scholar is included among the top collaborators of Markus Oechsner 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 Markus Oechsner. Markus Oechsner 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.
Borm, Kai J., et al.. (2022). Comparison of the distribution of lymph node metastases compared to healthy lymph nodes in breast cancer. Radiation Oncology. 17(1). 27–27. 1 indexed citations
2.
Oechsner, Markus, et al.. (2021). Analysis of using high-precision radiotherapy in the treatment of liver metastases regarding toxicity and survival. BMC Cancer. 21(1). 780–780. 8 indexed citations
3.
Oechsner, Markus, et al.. (2021). Patient individual phase gating for stereotactic radiation therapy of early stage non-small cell lung cancer (NSCLC). Scientific Reports. 11(1). 5870–5870. 3 indexed citations
4.
Pigorsch, Steffi, S. Kampfer, Markus Oechsner, et al.. (2020). Report on planning comparison of VMAT, IMRT and helical tomotherapy for the ESCALOX-trial pre-study. Radiation Oncology. 15(1). 13 indexed citations
5.
Oechsner, Markus, et al.. (2019). Deep inspiration breath-hold for left-sided breast irradiation: Analysis of dose-mass histograms and the impact of lung expansion. Radiation Oncology. 14(1). 109–109. 38 indexed citations
6.
Mayinger, Michael, Kai J. Borm, Johannes Ettl, et al.. (2019). MRI based neuroanatomical segmentation in breast cancer patients: leptomeningeal carcinomatosis vs. oligometastatic brain disease vs. multimetastastic brain disease. Radiation Oncology. 14(1). 170–170. 7 indexed citations
8.
Borm, Kai J., Markus Oechsner, Tibor Vág, et al.. (2018). FDG/PET-CT–Based Lymph Node Atlas in Breast Cancer Patients. International Journal of Radiation Oncology*Biology*Physics. 103(3). 574–582. 48 indexed citations
9.
Borm, Kai J., et al.. (2018). Moving targets in 4D-CTs versus MIP and AIP: comparison of patients data to phantom data. BMC Cancer. 18(1). 760–760. 15 indexed citations
10.
Dreher, Constantin, Markus Oechsner, Michael Mayinger, et al.. (2018). Evaluation of the tumor movement and the reproducibility of two different immobilization setups for image-guided stereotactic body radiotherapy of liver tumors. Radiation Oncology. 13(1). 15–15. 6 indexed citations
11.
Münch, Stefan, et al.. (2017). DVH- and NTCP-based dosimetric comparison of different longitudinal margins for VMAT-IMRT of esophageal cancer. Radiation Oncology. 12(1). 128–128. 11 indexed citations
12.
Oechsner, Markus, Michal Devečka, Stefan Münch, et al.. (2017). Interobserver variability of patient positioning using four different CT datasets for image registration in lung stereotactic body radiotherapy. Strahlentherapie und Onkologie. 193(10). 831–839. 4 indexed citations
14.
Duma, Marciana Nona, Kai J. Borm, Klaus R. Trott, et al.. (2017). Tangential Field Radiotherapy for Breast Cancer—The Dose to the Heart and Heart Subvolumes: What Structures Must Be Contoured in Future Clinical Trials?. Frontiers in Oncology. 7. 130–130. 27 indexed citations
15.
Togno, Michele, Jan J. Wilkens, D. Menichelli, et al.. (2016). Development and clinical evaluation of an ionization chamber array with 3.5 mm pixel pitch for quality assurance in advanced radiotherapy techniques. Medical Physics. 43(5). 2283–2294. 4 indexed citations
16.
17.
Veldhoen, Simon, Markus Oechsner, André Fischer, et al.. (2015). Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Quantitative Lung Perfusion Imaging Using the Dual-Bolus Approach. Investigative Radiology. 51(3). 186–193. 9 indexed citations
18.
Borm, Kai J., Markus Oechsner, Jan J. Wilkens, et al.. (2014). The impact of CT window settings on the contouring of a moving target: A phantom study. Clinical Radiology. 69(8). e331–e336. 3 indexed citations
19.
Horn, Michael, et al.. (2010). Dynamic contrast‐enhanced MR imaging for differentiation of rounded atelectasis from neoplasm. Journal of Magnetic Resonance Imaging. 31(6). 1364–1370. 10 indexed citations
20.
Oechsner, Markus, Eberhard Pracht, Herbert Köstler, et al.. (2008). Lung imaging under free‐breathing conditions. Magnetic Resonance in Medicine. 61(3). 723–727. 18 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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