B. Mascialino

9.8k citations
65 papers · 2.0k indexed · 2 hit papers · h-index 20

B. Mascialino

61 papers receiving 2.0k citations

Hit Papers

THE GEANT4-DNA PROJECT3832010202620152020100200300

Peers

B. Mascialino
Comparison fields: 5 of 133
  • Radiation 901
  • Surfaces, Coatings and Films 249
  • Pulmonary and Respiratory Medicine 1.1k
  • Immunology and Allergy 89
  • Radiological and Ultrasound Technology 70
Replace C. Liu with:
C. Liu China
G. Santin Netherlands
P. Oliva Italy
Eiji Yoshida Japan
N. Yasuda Japan
Yung‐Fu Chen Taiwan
M. Kurokawa Japan
Lisa C. Simonsen United States
Walter Schimmerling United States
F. Romanò Italy
B. Mascialino relative to C. Liu China C. Liu's profile →
Citations per field
00.5×20×40×60×89×
C. Liu · 1×
Citations per year

Countries citing papers authored by B. Mascialino

Since Specialization
Citations

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

Fields of papers citing papers by B. Mascialino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside B. Mascialino, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with B. Mascialino Line = papers co-authored together B. Mascialino links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20241
5 20241
6 20241
7 20221
8 201928
9 20180
10 201622
11 201340
12 20124
13 20123
14
Comparison of GEANT4 very low energy cross section models with experimental data in waterbreakdown →
2010390
15 200615
16 20051
17
A TOOLKIT FOR STATISTICAL COMPARISON OF DATA DISTRIBUTIONS
20051
18 200510
19 200473
20 200311

About B. Mascialino

B. Mascialino is a scholar working on Immunology and Allergy, Radiation and Nuclear and High Energy Physics, having authored 65 papers that have together received 2.0k indexed citations. Recurring topics across this work include Radiation Therapy and Dosimetry (16 papers), Particle Detector Development and Performance (10 papers), Radiation Detection and Scintillator Technologies (9 papers), Food Allergy and Anaphylaxis Research (8 papers), Allergic Rhinitis and Sensitization (7 papers), Sleep and Work-Related Fatigue (7 papers), Radiation Effects in Electronics (6 papers) and Ovarian cancer diagnosis and treatment (6 papers). The work is most often cited by research in Radiation (901 citations), Surfaces, Coatings and Films (249 citations) and Pulmonary and Respiratory Medicine (1.1k citations). B. Mascialino has collaborated with scholars based in Italy, Sweden and Switzerland. Frequent co-authors include A. Mantero, Maria Grazia Pia, Susanna Guatelli, S. Incerti, Z. Francis, P. Nieminen, R. Capra, C. Villagrasa, Mario A. Bernal and C. Champion. Their work appears in journals such as Bioinformatics, Gastroenterology and Journal of Allergy and Clinical Immunology.

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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