M. Zankl

7.7k total citations · 2 hit papers
174 papers, 5.8k citations indexed

About

M. Zankl is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M. Zankl has authored 174 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Radiology, Nuclear Medicine and Imaging, 78 papers in Radiation and 66 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M. Zankl's work include Radiation Dose and Imaging (128 papers), Advanced Radiotherapy Techniques (66 papers) and Advanced X-ray and CT Imaging (56 papers). M. Zankl is often cited by papers focused on Radiation Dose and Imaging (128 papers), Advanced Radiotherapy Techniques (66 papers) and Advanced X-ray and CT Imaging (56 papers). M. Zankl collaborates with scholars based in Germany, United States and Italy. M. Zankl's co-authors include Nina Petoussi-Henss, H. Schlattl, Wesley E. Bolch, U.A. Fill, Keith F. Eckerman, G. Drexler, Akira Endo, D. Regulla, Jörg Hausleiter and Stefan Martinoff and has published in prestigious journals such as Circulation, European Heart Journal and American Journal of Roentgenology.

In The Last Decade

M. Zankl

169 papers receiving 5.5k citations

Hit Papers

Radiation Dose Estimates ... 2006 2026 2012 2019 2006 2010 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M. Zankl 4.8k 2.3k 2.2k 1.9k 646 174 5.8k
Wesley E. Bolch 7.0k 1.5× 2.1k 0.9× 3.6k 1.7× 3.2k 1.7× 817 1.3× 335 9.4k
François Bochud 3.4k 0.7× 1.5k 0.6× 3.6k 1.7× 4.0k 2.1× 633 1.0× 250 7.0k
Choonsik Lee 4.8k 1.0× 1.8k 0.8× 1.4k 0.7× 1.7k 0.9× 446 0.7× 170 6.5k
F. Vanhavere 1.9k 0.4× 598 0.3× 2.0k 0.9× 1.7k 0.9× 197 0.3× 225 3.7k
E. Vañó 8.8k 1.8× 4.3k 1.9× 1.3k 0.6× 2.3k 1.2× 589 0.9× 314 10.3k
Louis K. Wagner 3.2k 0.7× 1.6k 0.7× 876 0.4× 1.1k 0.6× 144 0.2× 109 4.9k
Nina Petoussi-Henss 1.7k 0.4× 506 0.2× 1.1k 0.5× 878 0.5× 505 0.8× 51 2.3k
I. Clairand 1.2k 0.3× 348 0.2× 1.2k 0.6× 1.0k 0.5× 106 0.2× 105 3.0k
K. Faulkner 2.8k 0.6× 1.6k 0.7× 330 0.2× 1.0k 0.5× 255 0.4× 166 3.8k
Mahadevappa Mahesh 5.1k 1.1× 2.9k 1.3× 441 0.2× 1.3k 0.7× 228 0.4× 146 7.1k

Countries citing papers authored by M. Zankl

Since Specialization
Citations

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

Fields of papers citing papers by M. Zankl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Zankl

This figure shows the co-authorship network connecting the top 25 collaborators of M. Zankl. A scholar is included among the top collaborators of M. Zankl 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 M. Zankl. M. Zankl 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.
Teles, P., Raquel Costa, Teresa Pinheiro, et al.. (2025). Local DRL estimation and effective dose calculation in paediatric interventional cardiology using measurements and Monte Carlo simulations. Physica Medica. 135. 105023–105023.
2.
Rabus, Hans, M. Zankl, J.M. Gómez-Ros, et al.. (2022). Lessons learnt from the recent EURADOS intercomparisons in computational dosimetry. arXiv (Cornell University). 3 indexed citations
3.
Rabus, Hans, J.M. Gómez-Ros, C. Villagrasa, et al.. (2021). Quality assurance for the use of computational methods in dosimetry: activities of EURADOS Working Group 6 ‘Computational Dosimetry’. Journal of Radiological Protection. 41(1). 46–58. 5 indexed citations
4.
Zankl, M., Jonathan Eakins, J.M. Gómez-Ros, & C. Huet. (2021). The ICRP recommended methods of red bone marrow dosimetry. Radiation Measurements. 146. 106611–106611. 9 indexed citations
5.
Zankl, M., Jonathan Eakins, J.M. Gómez-Ros, et al.. (2021). EURADOS intercomparison on the usage of the ICRP/ICRU adult reference computational phantoms. Radiation Measurements. 145. 106596–106596. 8 indexed citations
6.
Yeom, Yeon Soo, Thang Tat Nguyen, Chansoo Choi, et al.. (2019). Percentile-specific computational phantoms constructed from ICRP mesh-type reference computational phantoms (MRCPs). Physics in Medicine and Biology. 64(4). 45005–45005. 24 indexed citations
7.
Schlattl, H., M. Zankl, J Becker, et al.. (2017). Feasibility of reducing differences in estimated doses in nuclear medicine between a patient-specific and a reference phantom. Physica Medica. 39. 100–112. 11 indexed citations
8.
Kinase, Sakae, et al.. (2014). Evaluation of S Values for Beta-ray Emitters within the Urinary Bladder. Journal of Nuclear Science and Technology. 136–139.
9.
Martins, Bruno da Costa, P. Teles, M. Neves, et al.. (2012). Performance assessment and uncertainty evaluation of a portable NaI-based detection system used for thyroid monitoring. Radiation Protection Dosimetry. 151(2). 252–261. 6 indexed citations
10.
Turner, Adam C., Di Zhang, M. Zankl, et al.. (2011). The feasibility of patient size‐corrected, scanner‐independent organ dose estimates for abdominal CT exams. Medical Physics. 38(2). 820–829. 124 indexed citations
11.
Garny, Sylvia, W. Rühm, M. Zankl, F.M. Wagner, & H. G. Paretzke. (2011). First steps towards a fast-neutron therapy planning program. Radiation Oncology. 6(1). 163–163. 8 indexed citations
12.
Noßke, D., E. Blanchardon, Wesley E. Bolch, et al.. (2010). New developments in internal dosimetry models. Radiation Protection Dosimetry. 144(1-4). 314–320. 3 indexed citations
13.
Schlattl, H., M. Zankl, Heinrich Eder, & Christoph Hoeschen. (2007). Shielding properties of lead‐free protective clothing and their impact on radiation doses. Medical Physics. 34(11). 4270–4280. 55 indexed citations
14.
Petoussi-Henss, Nina, M. Zankl, & Dietmar Noßke. (2005). Estimation of Patient Dose from Radiopharmaceuticals Using Voxel Models. Cancer Biotherapy and Radiopharmaceuticals. 20(1). 103–109. 10 indexed citations
15.
Wolf, Ingo, M. Zankl, Klemens Scheidhauer, et al.. (2005). Determination of Individual S-Values for 131 I Using Segmented CT Data and the EGS4 Monte Carlo Code. Cancer Biotherapy and Radiopharmaceuticals. 20(1). 98–102. 1 indexed citations
16.
Ballarini, F., G. Battistoni, Francesco Cerutti, et al.. (2005). The application of FLUKA to dosimetry and radiation therapy. Radiation Protection Dosimetry. 116(1-4). 113–117. 15 indexed citations
17.
Gualdrini, G., S. Agosteo, J.-L. Chartier, et al.. (2005). QUADOS intercomparison: a summary of photon and charged particle problems. Radiation Protection Dosimetry. 115(1-4). 587–599. 5 indexed citations
18.
Saitô, Kimiaki, et al.. (2001). Construction of a computed tomographic phantom for a Japanese male adult and dose calculation system. Radiation and Environmental Biophysics. 40(1). 69–76. 100 indexed citations
19.
Zankl, M. & G. Drexler. (1995). An Analysis of the Equivalent Dose Calculation for the Remainder Tissues. Health Physics. 69(3). 346–355. 10 indexed citations
20.
Veit, Richard R., et al.. (1989). Dose Equivalents in Anthropomorphic Phantoms and their Relation to the Ambient Dose Equivalent H*(10) for External Exposure. Radiation Protection Dosimetry. 28(1-2). 29–32. 3 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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