Mario A. Bernal

10.7k total citations · 3 hit papers
52 papers, 2.2k citations indexed

About

Mario A. Bernal is a scholar working on Pulmonary and Respiratory Medicine, Atomic and Molecular Physics, and Optics and Radiation. According to data from OpenAlex, Mario A. Bernal has authored 52 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Pulmonary and Respiratory Medicine, 16 papers in Atomic and Molecular Physics, and Optics and 16 papers in Radiation. Recurrent topics in Mario A. Bernal's work include Radiation Therapy and Dosimetry (34 papers), Atomic and Molecular Physics (16 papers) and Electron and X-Ray Spectroscopy Techniques (9 papers). Mario A. Bernal is often cited by papers focused on Radiation Therapy and Dosimetry (34 papers), Atomic and Molecular Physics (16 papers) and Electron and X-Ray Spectroscopy Techniques (9 papers). Mario A. Bernal collaborates with scholars based in Brazil, France and Lebanon. Mario A. Bernal's co-authors include S. Incerti, Z. Francis, C. Champion, M. Karamitros, Hoang Ngoc Tran, A. Mantero, V. Ivanchenko, C. Villagrasa, J. A. Liendo and Gérard Baldacchino and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and The Journal of Physical Chemistry B.

In The Last Decade

Mario A. Bernal

51 papers receiving 2.1k citations

Hit Papers

Comparison of GEANT4 very low energy cross section models... 2010 2026 2015 2020 2010 2010 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario A. Bernal Brazil 21 1.7k 959 445 444 402 52 2.2k
Z. Francis France 23 1.9k 1.1× 1.1k 1.2× 466 1.0× 435 1.0× 451 1.1× 56 2.4k
M. Karamitros France 20 1.5k 0.9× 810 0.8× 433 1.0× 340 0.8× 335 0.8× 32 1.8k
K.J. Kirkby United Kingdom 27 928 0.5× 769 0.8× 312 0.7× 420 0.9× 395 1.0× 142 1.9k
D. Sakata Japan 16 909 0.5× 515 0.5× 252 0.6× 242 0.5× 185 0.5× 42 1.1k
Aimee L. McNamara United States 25 1.6k 0.9× 1.3k 1.3× 214 0.5× 620 1.4× 274 0.7× 63 1.9k
C. Zacharatou France 6 808 0.5× 548 0.6× 163 0.4× 268 0.6× 180 0.4× 9 994
Reza Taleei United States 16 759 0.4× 517 0.5× 322 0.7× 232 0.5× 150 0.4× 43 1.1k
P. Guèye United States 6 685 0.4× 405 0.4× 173 0.4× 182 0.4× 185 0.5× 24 927
N. Yasuda Japan 25 828 0.5× 1.2k 1.3× 90 0.2× 249 0.6× 302 0.8× 161 2.0k
Guy Garty United States 24 776 0.5× 466 0.5× 546 1.2× 663 1.5× 180 0.4× 104 1.8k

Countries citing papers authored by Mario A. Bernal

Since Specialization
Citations

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

Fields of papers citing papers by Mario A. Bernal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario A. Bernal. 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 Mario A. Bernal. The network helps show where Mario A. Bernal may publish in the future.

Co-authorship network of co-authors of Mario A. Bernal

This figure shows the co-authorship network connecting the top 25 collaborators of Mario A. Bernal. A scholar is included among the top collaborators of Mario A. Bernal 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 Mario A. Bernal. Mario A. Bernal 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.
Francis, Z., et al.. (2023). Time-Dependent Density-Functional Theory for Determining the Electron-Capture Cross Section for Protons Impacting on Atoms and Molecules. The Journal of Physical Chemistry A. 127(11). 2453–2459. 2 indexed citations
3.
San‐Miguel, Miguel A., et al.. (2022). A TD-DFT-Based Study on the Attack of the OH· Radical on a Guanine Nucleotide. International Journal of Molecular Sciences. 23(17). 10007–10007. 2 indexed citations
4.
Bitar, Ziad El, et al.. (2022). Electron tracks simulation in water: Performance comparison between GPU CPU and the EUMED grid installation. Physica Medica. 104. 56–66. 1 indexed citations
5.
Bernal, Mario A., et al.. (2020). Microdosimetric calculations for radionuclides emitting β and α particles and Auger electrons. Applied Radiation and Isotopes. 166. 109302–109302. 10 indexed citations
6.
Tang, Nicolas, M. Bueno, Sylvain Meylan, et al.. (2019). Assessment of Radio-Induced Damage in Endothelial Cells Irradiated with 40 kVp, 220 kVp, and 4 MV X-rays by Means of Micro and Nanodosimetric Calculations. International Journal of Molecular Sciences. 20(24). 6204–6204. 31 indexed citations
8.
Falzone, Nadia, et al.. (2018). Targeted alpha therapy with 212Pb or 225Ac: Change in RBE from daughter migration. Physica Medica. 51. 91–98. 17 indexed citations
9.
Incerti, S., et al.. (2017). Numerical insight into the Dual Radiation Action Theory. Physica Medica. 43. 120–126. 3 indexed citations
10.
Carante, Mario Pietro, et al.. (2017). Proximity effects in chromosome aberration induction by low-LET ionizing radiation. DNA repair. 58. 38–46. 21 indexed citations
11.
Francis, Z., S. Incerti, C. Champion, et al.. (2014). Carbon ion fragmentation effects on the nanometric level behind the Bragg peak depth. Physics in Medicine and Biology. 59(24). 7691–7702. 20 indexed citations
12.
Champion, C., S. Incerti, Y. Perrot, et al.. (2013). Dose point kernels in liquid water: An intra-comparison between GEANT4-DNA and a variety of Monte Carlo codes. Applied Radiation and Isotopes. 83. 137–141. 40 indexed citations
13.
Bernal, Mario A.. (2012). Evaluation of the mean energy deposit during the impact of charged particles on liquid water. Physics in Medicine and Biology. 57(7). 1745–1757. 6 indexed citations
14.
Bernal, Mario A., et al.. (2012). Experimental and Monte Carlo-simulated spectra of standard mammography-quality beams. British Journal of Radiology. 85(1013). 629–635. 9 indexed citations
15.
Francis, Z., S. Incerti, V. Ivanchenko, et al.. (2011). Monte Carlo simulation of energy-deposit clustering for ions of the same LET in liquid water. Physics in Medicine and Biology. 57(1). 209–224. 42 indexed citations
16.
Bernal, Mario A., et al.. (2011). The invariance of the total direct DNA strand break yield. Medical Physics. 38(7). 4147–4153. 41 indexed citations
17.
Ivanchenko, V., S. Incerti, Z. Francis, et al.. (2011). Combination of electromagnetic physics processes for microdosimetry in liquid water with the Geant4 Monte Carlo simulation toolkit. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 273. 95–97. 20 indexed citations
18.
Bernal, Mario A., et al.. (2011). Estimation of the RBE of mammography-quality beams using a combination of a Monte Carlo code with a B-DNA geometrical model. Physics in Medicine and Biology. 56(23). 7393–7403. 10 indexed citations
19.
Incerti, S., A. Ivanchenko, M. Karamitros, et al.. (2010). Comparison of GEANT4 very low energy cross section models with experimental data in water. Medical Physics. 37(9). 4692–4708. 390 indexed citations breakdown →
20.
Bernal, Mario A. & J. A. Liendo. (2009). An investigation on the capabilities of the PENELOPE MC code in nanodosimetry. Medical Physics. 36(2). 620–625. 83 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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