O. Dohm

802 total citations
32 papers, 637 citations indexed

About

O. Dohm is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, O. Dohm has authored 32 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiation, 18 papers in Pulmonary and Respiratory Medicine and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in O. Dohm's work include Advanced Radiotherapy Techniques (25 papers), Radiation Therapy and Dosimetry (14 papers) and Medical Imaging Techniques and Applications (5 papers). O. Dohm is often cited by papers focused on Advanced Radiotherapy Techniques (25 papers), Radiation Therapy and Dosimetry (14 papers) and Medical Imaging Techniques and Applications (5 papers). O. Dohm collaborates with scholars based in Germany, Denmark and Italy. O. Dohm's co-authors include Matthias Fippel, Freddy Haryanto, Daniela Thorwarth, Fridtjof Nüsslin, M. Alber, Ralf‐Peter Kapsch, W. Laub, David Mönnich, Marcel Nachbar and Daniel Zips and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

O. Dohm

32 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
O. Dohm Germany 12 583 479 358 119 26 32 637
Arman Sarfehnia Canada 15 579 1.0× 508 1.1× 272 0.8× 66 0.6× 40 1.5× 60 674
Friedlieb Lorenz Germany 13 571 1.0× 467 1.0× 355 1.0× 134 1.1× 13 0.5× 19 652
V.P. Cosgrove United Kingdom 12 465 0.8× 357 0.7× 360 1.0× 57 0.5× 17 0.7× 30 538
C Esquivel United States 14 565 1.0× 431 0.9× 365 1.0× 120 1.0× 11 0.4× 44 640
Sarah B. Scarboro United States 10 416 0.7× 345 0.7× 293 0.8× 52 0.4× 14 0.5× 13 496
E Mok United States 11 904 1.6× 697 1.5× 558 1.6× 235 2.0× 61 2.3× 34 953
E. Woudstra Netherlands 13 413 0.7× 302 0.6× 260 0.7× 66 0.6× 20 0.8× 20 449
Kay Willborn Germany 13 570 1.0× 496 1.0× 323 0.9× 122 1.0× 15 0.6× 28 646
L.J. van Battum Netherlands 12 664 1.1× 533 1.1× 366 1.0× 104 0.9× 60 2.3× 15 709
Calvin Huntzinger United States 10 359 0.6× 253 0.5× 248 0.7× 77 0.6× 36 1.4× 26 437

Countries citing papers authored by O. Dohm

Since Specialization
Citations

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

Fields of papers citing papers by O. Dohm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of O. Dohm

This figure shows the co-authorship network connecting the top 25 collaborators of O. Dohm. A scholar is included among the top collaborators of O. Dohm 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 O. Dohm. O. Dohm 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.
De‐Colle, Chiara, O. Dohm, David Mönnich, et al.. (2022). Estimation of secondary cancer projected risk after partial breast irradiation at the 1.5 T MR-linac. Strahlentherapie und Onkologie. 198(7). 622–629. 1 indexed citations
2.
De‐Colle, Chiara, Marcel Nachbar, David Mönnich, et al.. (2021). Analysis of the electron-stream effect in patients treated with partial breast irradiation using the 1.5 T MR-linear accelerator. Clinical and Translational Radiation Oncology. 27. 103–108. 10 indexed citations
3.
Nachbar, Marcel, et al.. (2021). Automatic 3D Monte-Carlo-based secondary dose calculation for online verification of 1.5 T magnetic resonance imaging guided radiotherapy. Physics and Imaging in Radiation Oncology. 19. 6–12. 14 indexed citations
4.
Berger, Bernhard, Daniel Zips, Frank Paulsen, et al.. (2020). Prospective evaluation of probabilistic dose-escalated IMRT in prostate cancer. Radiology and Oncology. 55(1). 88–96. 3 indexed citations
5.
Leibfarth, Sara, et al.. (2019). Automatic VMAT planning for post-operative prostate cancer cases using particle swarm optimization: A proof of concept study. Physica Medica. 69. 101–109. 14 indexed citations
6.
Nachbar, Marcel, et al.. (2019). Development and validation of a 1.5 T MR‐Linac full accelerator head and cryostat model for Monte Carlo dose simulations. Medical Physics. 46(11). 5304–5313. 24 indexed citations
7.
Kapsch, Ralf‐Peter, et al.. (2019). A finite element method for the determination of the relative response of ionization chambers in MR-linacs: simulation and experimental validation up to 1.5 T. Physics in Medicine and Biology. 64(13). 135011–135011. 36 indexed citations
8.
Nachbar, Marcel, David Mönnich, Simon Boeke, et al.. (2019). Partial breast irradiation with the 1.5 T MR-Linac: First patient treatment and analysis of electron return and stream effects. Radiotherapy and Oncology. 145. 30–35. 54 indexed citations
9.
Richter, Sebastian, et al.. (2018). PO-0887: Influence of a magnetic field on the dose deposited by a 6MV linac at tissue interfaces. Radiotherapy and Oncology. 127. S469–S470. 3 indexed citations
10.
Dohm, O., et al.. (2018). Automatic replanning of VMAT plans for different treatment machines: A template-based approach using constrained optimization. Strahlentherapie und Onkologie. 194(10). 921–928. 1 indexed citations
11.
Dohm, O., et al.. (2018). Ionization chamber correction factors for MR-linacs. Physics in Medicine and Biology. 63(11). 11NT03–11NT03. 42 indexed citations
12.
Hofmaier, Jan, Matthias Söhn, O. Dohm, et al.. (2016). Hippocampal sparing radiotherapy for glioblastoma patients: a planning study using volumetric modulated arc therapy. Radiation Oncology. 11(1). 118–118. 14 indexed citations
13.
Soukup, Martin, et al.. (2011). Monte Carlo simulation of small electron fields collimated by the integrated photon MLC. Physics in Medicine and Biology. 56(3). 829–843. 17 indexed citations
14.
Christ, Günter, et al.. (2008). Craniospinal Radiotherapy in an Advanced Technique. Strahlentherapie und Onkologie. 184(10). 530–535. 9 indexed citations
15.
Kapsch, Ralf‐Peter, et al.. (2007). Experimental determination ofpCoperturbation factors for plane-parallel chambers. Physics in Medicine and Biology. 52(23). 7167–7181. 7 indexed citations
16.
Dohm, O., Matthias Fippel, Günter Christ, & Fridtjof Nüsslin. (2005). Off-axis chamber response in the depth of photon dose maximum. Physics in Medicine and Biology. 50(7). 1449–1457. 9 indexed citations
17.
Christ, Günter, et al.. (2004). Air density correction in ionization dosimetry. Physics in Medicine and Biology. 49(10). 2029–2039. 6 indexed citations
18.
Fippel, Matthias, et al.. (2003). A virtual photon energy fluence model for Monte Carlo dose calculation. Medical Physics. 30(3). 301–311. 164 indexed citations
19.
Dohm, O., et al.. (2002). Praktische Elektronendosimetrie: Ein Vergleich verschiedener Bauarten von Ionisationskammern. Zeitschrift für Medizinische Physik. 12(1). 24–28. 7 indexed citations
20.
Dohm, O., et al.. (2001). Electron dosimetry based on the absorbed dose to water concept: A comparison of the AAPM TG‐51 and DIN 6800‐2 protocols. Medical Physics. 28(11). 2258–2264. 10 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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