Andrea Mairani

4.3k total citations · 2 hit papers
114 papers, 2.8k citations indexed

About

Andrea Mairani is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andrea Mairani has authored 114 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Pulmonary and Respiratory Medicine, 91 papers in Radiation and 35 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andrea Mairani's work include Radiation Therapy and Dosimetry (100 papers), Advanced Radiotherapy Techniques (78 papers) and Radiation Detection and Scintillator Technologies (37 papers). Andrea Mairani is often cited by papers focused on Radiation Therapy and Dosimetry (100 papers), Advanced Radiotherapy Techniques (78 papers) and Radiation Detection and Scintillator Technologies (37 papers). Andrea Mairani collaborates with scholars based in Germany, Italy and Switzerland. Andrea Mairani's co-authors include Jürgen Debus, Thomas Tessonnier, A. Ferrari, Thomas Haberer, Stewart Mein, Katia Parodi, Amir Abdollahi, P. Sala, Ivana Đokić and F. Cerutti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Andrea Mairani

105 papers receiving 2.8k citations

Hit Papers

Overview of the FLUKA code 2014 2026 2018 2022 2014 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Mairani Germany 29 2.2k 2.0k 747 537 206 114 2.8k
Taku Inaniwa Japan 34 3.2k 1.4× 2.9k 1.5× 1.0k 1.4× 705 1.3× 98 0.5× 169 3.6k
Stephan Brons Germany 32 2.6k 1.2× 2.2k 1.1× 779 1.0× 671 1.2× 114 0.6× 148 3.1k
Jan J. Wilkens Germany 34 2.5k 1.2× 2.4k 1.2× 1.3k 1.8× 370 0.7× 117 0.6× 146 3.7k
Naruhiro Matsufuji Japan 30 3.2k 1.5× 2.6k 1.3× 922 1.2× 755 1.4× 165 0.8× 139 3.8k
Emanuele Scifoni Italy 25 1.5k 0.7× 1.2k 0.6× 498 0.7× 378 0.7× 136 0.7× 90 2.0k
Teiji Nishio Japan 27 1.6k 0.7× 1.6k 0.8× 689 0.9× 296 0.6× 89 0.4× 151 2.3k
Aimee L. McNamara United States 25 1.6k 0.7× 1.3k 0.6× 620 0.8× 274 0.5× 150 0.7× 63 1.9k
Narayan Sahoo United States 42 3.8k 1.7× 3.7k 1.9× 1.1k 1.4× 737 1.4× 367 1.8× 174 4.8k
Akifumi Fukumura Japan 22 1.6k 0.7× 1.4k 0.7× 394 0.5× 277 0.5× 203 1.0× 62 2.1k
Thilo Elsässer Germany 15 1.7k 0.8× 1.3k 0.7× 539 0.7× 471 0.9× 116 0.6× 22 2.0k

Countries citing papers authored by Andrea Mairani

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Mairani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Mairani

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Mairani. A scholar is included among the top collaborators of Andrea Mairani 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 Andrea Mairani. Andrea Mairani 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
2.
Glowa, Christin, Peter Peschke, Stephan Brons, et al.. (2025). Variable Relative Biological Effectiveness of Protons in the Rat Spinal Cord: Measurements and Comparison With Model Calculations. Advances in Radiation Oncology. 10(8). 101809–101809.
3.
Petringa, Giada, C. Verona, A. Attili, et al.. (2025). Microdosimetric characterization of a clinical helium beam using a MicroPlus-Bridge detector and a diamond detector for RBE assessment. Physics in Medicine and Biology. 70(19). 195010–195010.
4.
Verona‐Rinati, G., Stephan Brons, Rafael Kranzer, et al.. (2025). Characterizing diamond detectors for various dose and dose rate measurements in scanned carbon and oxygen beams. Medical Physics. 52(7). e17893–e17893. 1 indexed citations
6.
Volz, Lennart, Peilin Liu, Thomas Tessonnier, et al.. (2025). HyperSHArc: Single-Isocenter Stereotactic Radiosurgery of Multiple Brain Metastases Using Proton, Helium, and Carbon Ion Arc Therapy. Advances in Radiation Oncology. 10(5). 101763–101763.
8.
Đokić, Ivana, Mahmoud Moustafa, Thomas Tessonnier, et al.. (2024). Ultrahigh Dose Rate Helium Ion Beams: Minimizing Brain Tissue Damage while Preserving Tumor Control. Molecular Cancer Therapeutics. 24(5). 763–771. 2 indexed citations
9.
Mairani, Andrea. (2024). Innovative approaches to enhance high-LETd tumor targeting in carbon ion radiotherapy. Health and Technology. 14(5). 889–894.
10.
Tessonnier, Thomas, Lorenzo Manti, Thomas Haberer, et al.. (2024). First Dosimetric and Biological Verification for Spot-Scanning Hadron Arc Radiation Therapy With Carbon Ions. Advances in Radiation Oncology. 9(12). 101611–101611. 2 indexed citations
11.
Magro, Giuseppe, Semi Harrabi, Thomas Haberer, et al.. (2024). Mixed- and multi-relative biological effectiveness model simultaneous optimization in carbon ion radiotherapy: A proof-of-concept. Physics and Imaging in Radiation Oncology. 32. 100679–100679.
12.
Seidensaal, Katharina, Burkhard Lehner, Jakob Liermann, et al.. (2024). Hypofractionated proton and carbon ion beam radiotherapy for sacrococcygeal chordoma (ISAC): An open label, randomized, stratified, phase II trial. Radiotherapy and Oncology. 198. 110418–110418. 5 indexed citations
13.
Tessonnier, Thomas, et al.. (2023). Diamond detectors for dose and instantaneous dose‐rate measurements for ultra‐high dose‐rate scanned helium ion beams. Medical Physics. 51(2). 1450–1459. 11 indexed citations
14.
Mairani, Andrea, Camilla H. Stokkevåg, Kathrine Røe Redalen, et al.. (2023). Combined RBE and OER optimization in proton therapy with FLUKA based on EF5‐PET. Journal of Applied Clinical Medical Physics. 24(9). e14014–e14014. 2 indexed citations
15.
Liew, Hans, Stewart Mein, Thomas Tessonnier, et al.. (2023). Do We Preserve Tumor Control Probability (TCP) in FLASH Radiotherapy? A Model-Based Analysis. International Journal of Molecular Sciences. 24(6). 5118–5118. 4 indexed citations
16.
Walsh, Dietrich W. M., et al.. (2020). Carbon ion dosimetry on a fluorescent nuclear track detector using widefield microscopy. Physics in Medicine and Biology. 65(21). 21NT02–21NT02. 8 indexed citations
17.
Stokkevåg, Camilla H., Andrea Mairani, Sarita Forsbäck, et al.. (2020). The FLUKA Monte Carlo code coupled with an OER model for biologically weighted dose calculations in proton therapy of hypoxic tumors. Physica Medica. 76. 166–172. 11 indexed citations
18.
Molinelli, Silvia, Stefania Russo, Giuseppe Magro, et al.. (2019). Impact of TPS calculation algorithms on dose delivered to the patient in proton therapy treatments. Physics in Medicine and Biology. 64(7). 75016–75016. 11 indexed citations
19.
Mairani, Andrea, et al.. (2013). Modelling of cell killing due to sparsely ionizing radiation in normoxic and hypoxic conditions and an extension to high LET radiation. International Journal of Radiation Biology. 89(10). 782–793. 17 indexed citations
20.
Fassò, A., Johannes Ranft, P. Sala, et al.. (2012). FLUKA: Fully integrated particle physics Monte Carlo simulation package. Astrophysics Source Code Library.

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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