Marco Pinto

4.7k total citations
49 papers, 689 citations indexed

About

Marco Pinto is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Marco Pinto has authored 49 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Pulmonary and Respiratory Medicine, 42 papers in Radiation and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Marco Pinto's work include Radiation Therapy and Dosimetry (42 papers), Radiation Detection and Scintillator Technologies (29 papers) and Advanced Radiotherapy Techniques (21 papers). Marco Pinto is often cited by papers focused on Radiation Therapy and Dosimetry (42 papers), Radiation Detection and Scintillator Technologies (29 papers) and Advanced Radiotherapy Techniques (21 papers). Marco Pinto collaborates with scholars based in Germany, France and United States. Marco Pinto's co-authors include Katia Parodi, Jean Michel Létang, Étienne Testa, D. Dauvergne, N. Freud, J. Krimmer, C. Ray, Guillaume Landry, G. Dedes and F. Roellinghoff and has published in prestigious journals such as Applied Physics Letters, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

In The Last Decade

Marco Pinto

46 papers receiving 684 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Pinto Germany 15 616 589 168 74 59 49 689
Lucas Burigo Germany 14 578 0.9× 596 1.0× 186 1.1× 120 1.6× 34 0.6× 35 664
Andreas Resch Austria 14 326 0.5× 313 0.5× 128 0.8× 71 1.0× 65 1.1× 41 448
Ilaria Rinaldi Germany 19 655 1.1× 675 1.1× 232 1.4× 107 1.4× 100 1.7× 52 772
Daniel Unholtz Germany 10 368 0.6× 395 0.7× 120 0.7× 100 1.4× 43 0.7× 20 461
Emily Heath Canada 17 915 1.5× 693 1.2× 640 3.8× 34 0.5× 219 3.7× 38 1.0k
Antoni Ruciński Poland 14 326 0.5× 322 0.5× 112 0.7× 92 1.2× 23 0.4× 48 408
Hans‐Peter Wieser Germany 8 295 0.5× 282 0.5× 94 0.6× 44 0.6× 52 0.9× 18 343
C‐M Ma United States 12 287 0.5× 223 0.4× 181 1.1× 22 0.3× 76 1.3× 24 390
Niklas Wahl Germany 8 313 0.5× 305 0.5× 119 0.7× 45 0.6× 25 0.4× 28 355
N. Zahra France 4 509 0.8× 356 0.6× 444 2.6× 54 0.7× 188 3.2× 6 676

Countries citing papers authored by Marco Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Marco Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Pinto. A scholar is included among the top collaborators of Marco Pinto 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 Marco Pinto. Marco Pinto 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.
2.
Leung, Lisa, Marco Pinto, Gregory A. Gibson, et al.. (2024). Evaluation of a Three-Dimensional Printed Interventional Simulator for Cardiac Ablation Therapy Training. Applied Sciences. 14(18). 8423–8423. 1 indexed citations
3.
4.
Han, Haegin, Marco Pinto, Florian Kamp, et al.. (2022). Applications of a patient-specific whole-body CT-mesh hybrid computational phantom in second cancer risk prediction. Physics in Medicine and Biology. 67(18). 185011–185011. 1 indexed citations
5.
Stanislawski, Michael, Marco Pinto, Olaf Dietrich, et al.. (2020). Animal tissue-based quantitative comparison of dual-energy CT to SPR conversion methods using high-resolution gel dosimetry. Physics in Medicine and Biology. 66(7). 75009–75009. 16 indexed citations
6.
Bortfeldt, J., et al.. (2020). Optimization and performance study of a proton CT system for pre-clinical small animal imaging. Physics in Medicine and Biology. 65(15). 155008–155008. 11 indexed citations
7.
Huang, Ze, Guillaume Janssens, Guillaume Landry, et al.. (2020). Accounting for prompt gamma emission and detection for range verification in proton therapy treatment planning. Physics in Medicine and Biology. 66(5). 55005–55005. 5 indexed citations
8.
Chacon, Andrew, Akram Mohammadi, Sodai Takyu, et al.. (2020). Dose quantification in carbon ion therapy using in-beam positron emission tomography. Physics in Medicine and Biology. 65(23). 235052–235052. 10 indexed citations
9.
Pinto, Marco, et al.. (2020). A filtering approach for PET and PG predictions in a proton treatment planning system. Physics in Medicine and Biology. 65(9). 95014–95014. 12 indexed citations
10.
Parodi, Katia, et al.. (2019). Prediction of positron emitter distributions for range monitoring in carbon ion therapy: an analytical approach. Physics in Medicine and Biology. 64(10). 105022–105022. 11 indexed citations
11.
Pinto, Marco, Akram Mohammadi, Munetaka Nitta, et al.. (2018). Dose reconstruction from PET images in carbon ion therapy: a deconvolution approach. Physics in Medicine and Biology. 64(2). 25011–25011. 26 indexed citations
12.
Landry, Guillaume, et al.. (2018). Toward a new treatment planning approach accounting for in vivo proton range verification. Physics in Medicine and Biology. 63(21). 215025–215025. 16 indexed citations
13.
Qin, Nan, Marco Pinto, Zhen Tian, et al.. (2017). Initial development of goCMC: a GPU-oriented fast cross-platform Monte Carlo engine for carbon ion therapy. Physics in Medicine and Biology. 62(9). 3682–3699. 22 indexed citations
14.
Krimmer, J., M. Chevallier, Julie Constanzo, et al.. (2015). Collimated prompt gamma TOF measurements with multi-slit multi-detector configurations. Journal of Instrumentation. 10(1). P01011–P01011. 24 indexed citations
15.
Létang, Jean Michel, D. Dauvergne, Marco Pinto, et al.. (2015). Monte Carlo simulation of promptγ-ray emission in proton therapy using a specific track length estimator. Physics in Medicine and Biology. 60(20). 8067–8086. 9 indexed citations
16.
Pinto, Marco, M. De Rydt, D. Dauvergne, et al.. (2015). Technical Note: Experimental carbon ion range verification in inhomogeneous phantoms using prompt gammas. Medical Physics. 42(5). 2342–2346. 16 indexed citations
17.
Roellinghoff, F., A. Benilov, D. Dauvergne, et al.. (2014). Real-time proton beam range monitoring by means of prompt-gamma detection with a collimated camera. Physics in Medicine and Biology. 59(5). 1327–1338. 52 indexed citations
18.
Pinto, Marco, M. Bajard, Stephan Brons, et al.. (2014). Absolute prompt-gamma yield measurements for ion beam therapy monitoring. Physics in Medicine and Biology. 60(2). 565–594. 42 indexed citations
19.
Pinto, Marco, D. Dauvergne, N. Freud, et al.. (2014). Design optimisation of a TOF-based collimated camera prototype for online hadrontherapy monitoring. Physics in Medicine and Biology. 59(24). 7653–7674. 57 indexed citations
20.
Pinto, Marco. (2006). Analise funcional e estrutural do reparo das lesoes extensas do manguito rotador. Revista Brasileira de Ortopedia (English Edition). 41(8). 294–301. 5 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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