S. Marino

1.2k total citations
34 papers, 583 citations indexed

About

S. Marino is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, S. Marino has authored 34 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 17 papers in Radiation and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in S. Marino's work include Radiation Therapy and Dosimetry (22 papers), Nuclear Physics and Applications (14 papers) and Radiation Detection and Scintillator Technologies (8 papers). S. Marino is often cited by papers focused on Radiation Therapy and Dosimetry (22 papers), Nuclear Physics and Applications (14 papers) and Radiation Detection and Scintillator Technologies (8 papers). S. Marino collaborates with scholars based in United States, United Kingdom and France. S. Marino's co-authors include Eric J. Hall, David J. Brenner, Charles R. Geard, G. Randers‐Pehrson, H. H. Rossi, Richard C. Miller, L. J. Goodman, Albrecht M. Kellerer, S.A. Mitchell and Katsuko Komatsu and has published in prestigious journals such as Radiation Research, Neuro-Oncology and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

S. Marino

33 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Marino United States 14 383 323 221 81 68 34 583
A. J. Mill United Kingdom 12 254 0.7× 265 0.8× 147 0.7× 75 0.9× 73 1.1× 32 469
N. F. Metting United States 15 335 0.9× 390 1.2× 152 0.7× 158 2.0× 119 1.8× 24 667
J. F. Bottollier-Depois France 15 321 0.8× 229 0.7× 212 1.0× 57 0.7× 44 0.6× 37 548
P. Powers-Risius United States 13 475 1.2× 468 1.4× 119 0.5× 141 1.7× 62 0.9× 20 661
D.A. Bance United Kingdom 9 251 0.7× 136 0.4× 144 0.7× 135 1.7× 79 1.2× 13 398
R.E. Wilkinson United Kingdom 9 370 1.0× 235 0.7× 212 1.0× 278 3.4× 160 2.4× 11 682
Gabriel K. Y. Lam Canada 13 455 1.2× 275 0.9× 383 1.7× 41 0.5× 42 0.6× 52 675
V. A. Semenenko United States 7 414 1.1× 240 0.7× 280 1.3× 160 2.0× 76 1.1× 8 582
Massimo Pinto Italy 15 354 0.9× 272 0.8× 176 0.8× 253 3.1× 119 1.8× 44 639
Khvostunov Ik Russia 11 183 0.5× 228 0.7× 82 0.4× 80 1.0× 112 1.6× 36 376

Countries citing papers authored by S. Marino

Since Specialization
Citations

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

Fields of papers citing papers by S. Marino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Marino

This figure shows the co-authorship network connecting the top 25 collaborators of S. Marino. A scholar is included among the top collaborators of S. Marino 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 S. Marino. S. Marino 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.
Xu, Yanping, G. Randers‐Pehrson, S. Marino, et al.. (2018). A horizontal multi-purpose microbeam system. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 888. 18–21. 2 indexed citations
2.
Marino, S., et al.. (2014). O4.07 * A NOVEL POLYCOMB FEED FORWARD LOOP IN GLIOBLASTOMA MULTIFORME. Neuro-Oncology. 16(suppl 2). ii8–ii8. 1 indexed citations
3.
Brenner, D. J., Manuela Buonanno, Sally A. Amundson, et al.. (2013). Integrated interdisciplinary training in the radiological sciences. British Journal of Radiology. 87(1034). 20130779–20130779. 4 indexed citations
4.
Xu, Yanping, Guy Garty, S. Marino, et al.. (2012). Novel neutron sources at the Radiological Research Accelerator Facility. Journal of Instrumentation. 7(3). C03031–C03031. 12 indexed citations
5.
Xu, Yanping, et al.. (2010). An accelerator-based neutron microbeam system for studies of radiation effects. Radiation Protection Dosimetry. 145(4). 373–376. 13 indexed citations
6.
Sykora, G.J., et al.. (2007). Novel Al2O3:C,Mg fluorescent nuclear track detectors for passive neutron dosimetry. Radiation Protection Dosimetry. 126(1-4). 278–283. 32 indexed citations
7.
Mitchell, S.A., S. Marino, David J. Brenner, & Eric J. Hall. (2004). Bystander effect and adaptive response in C3H 10T½ cells. International Journal of Radiation Biology. 80(7). 465–472. 56 indexed citations
8.
Geard, Charles R., et al.. (2002). Novel Approaches with Track Segment Alpha Particles and Cell Co-cultures in Studies of Bystander Effects. Radiation Protection Dosimetry. 99(1). 233–236. 28 indexed citations
9.
Brenner, David J., Satin G. Sawant, M. Prakash Hande, et al.. (2002). Routine screening mammography: how important is the radiation-risk side of the benefit-risk equation?. International Journal of Radiation Biology. 78(12). 1065–1067. 41 indexed citations
10.
Marino, S. & Gary W. Johnson. (2002). A Microdosimetry Chamber for Low-energy X Rays. Radiation Protection Dosimetry. 99(1). 377–378. 1 indexed citations
11.
Miller, Richard C., Stewart G. Martin, W Hanson, S. Marino, & Eric J. Hall. (1998). Effect of track structure and radioprotectors on the induction of oncogenic transformation in murine fibroblasts by heavy ions. Advances in Space Research. 22(12). 1719–1723. 7 indexed citations
12.
Obelić, Bogomil, et al.. (1998). The Frequency Distribution of the Number of Ion Pairs in Irradiated Tissue. Radiation Research. 149(5). 411–411. 1 indexed citations
13.
Marino, S., et al.. (1996). The Neutron Response of AL2O3:C, 7LiF:Mg,Cu,P and 7LiF:Mg,Ti TLDs. Radiation Protection Dosimetry. 65(1). 221–226. 26 indexed citations
14.
Miller, Richard C., et al.. (1993). The inverse dose-rate effect for oncogenic transformation by charged particles is dependent on linear energy transfer.. PubMed. 133(3). 360–4. 31 indexed citations
15.
Miller, Richard C., David J. Brenner, G. Randers‐Pehrson, S. Marino, & Eric J. Hall. (1990). The Effects of the Temporal Distribution of Dose on Oncogenic Transformation by Neutrons and Charged Particles of Intermediate LET. Radiation Research. 124(1). S62–S62. 22 indexed citations
16.
Lindborg, L., S. Marino, P. Kliauga, & H. H. Rossi. (1989). Microdosimetric measurements and the variance-covariance method. Radiation and Environmental Biophysics. 28(4). 251–263. 4 indexed citations
17.
Miller, Richard C., Charles R. Geard, David J. Brenner, et al.. (1989). Neutron-Energy-Dependent Oncogenic Transformation of C3H 10% 1/2 Mouse Cells. Radiation Research. 117(1). 114–114. 42 indexed citations
18.
Lindborg, L., P. Kliauga, S. Marino, & H. H. Rossi. (1985). Variance-Covariance Measurements of the Dose Mean Lineal Energy in a Neutron Beam. Radiation Protection Dosimetry. 13(1-4). 347–351. 7 indexed citations
19.
Zaider, Marco, et al.. (1983). A study of cell survival in mammalian cells exposed to spatially correlated triads of protons. Radiation and Environmental Biophysics. 22(4). 239–249. 4 indexed citations
20.
Hall, Eric J., et al.. (1975). RBE as a function of neutron energy. Radiation Research. 41 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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