Matthew Gallitto

1.0k citations
25 papers · 337 · h-index 9

Impact in

Papers in

Matthew Gallitto

21 papers receiving 334 citations

Peers

Matthew Gallitto
Comparison fields: 5 of 68
  • Genetics 80
  • Otorhinolaryngology 18
  • Genetics 76
  • Molecular Biology 137
  • Neurology 27
Replace Nobuko Moriyama with:
Nobuko Moriyama Japan
Eric A. Hungate United States
Anja Kovanda Slovenia
Gabriela Moroşan‐Puopolo Germany
Stephanie Balcaitis United States
Rieko Asai Japan
Joy D.A. Delhanty United Kingdom
Juliane W. Schott Germany
Anshu Malhotra United States
Shaun R. Abrams United States
Matthew Gallitto relative to Nobuko Moriyama Japan Nobuko Moriyama's profile →
Citations per field
00.5×9.3×
Nobuko Moriyama · 1×
Citations per year

Countries citing papers authored by Matthew Gallitto

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Gallitto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew Gallitto, 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 Matthew Gallitto Line = papers co-authored together Matthew Gallitto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015138
2 201967
3 202320
4 202019
5 201717
6 202415
7 202111
8 202310
9 20199
10 20217
11 20236
12 20234
13 20244
14 20242
15 20212
16 20241
17 20221
18 20211
19 20231
20 20231

About Matthew Gallitto

Matthew Gallitto is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery and Molecular Biology, having authored 25 papers that have together received 337 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Head and Neck Cancer Studies (3 papers), Brain Metastases and Treatment (3 papers), CRISPR and Genetic Engineering (3 papers), Advanced Radiotherapy Techniques (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Genetics (80 citations), Otorhinolaryngology (18 citations), Genetics (76 citations), Molecular Biology (137 citations) and Neurology (27 citations). Matthew Gallitto has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Isaac Wasserman, Richard L. Bakst, Richard Bonneau, Brian Liu, Suzanne L. Wolden, Stephanie A. Terezakis, Timothy R. Chu, Mario L. Arrieta‐Ortiz, Adam Driks and Thadeous J. Kacmarczyk. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Practical Radiation Oncology, Head & Neck, Journal of Neuro-Oncology and Neuro-Oncology.

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.

Explore authors with similar magnitude of impact