Tommaso Sciortino

1.6k citations
37 papers · 646 indexed · h-index 15
Topics
Glioma Diagnosis and Treatment (23 papers)Meningioma and schwannoma management (10 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaBrain

In The Last Decade

Tommaso Sciortino

35 papers receiving 643 citations

Peers

Tommaso Sciortino
Comparison fields: 5 of 76
  • Genetics 314
  • Radiology, Nuclear Medicine and Imaging 223
  • Epidemiology 185
  • Cognitive Neuroscience 134
  • Biophysics 90
Replace Marco Conti Nibali with:
Marco Conti Nibali Italy
Lorenzo Gay Italy
Igor Pronin Russia
Marc Zanello France
Yuanjie Zou China
John Goodden United Kingdom
Laurent J. Livermore United Kingdom
Anitha Priya Krishnan United States
Neda Haj‐Hosseini Sweden
Erik Magnus Berntsen Norway
Tommaso Sciortino relative to Marco Conti Nibali Italy Marco Conti Nibali's profile →
Citations per field
00.5×1.5×
Marco Conti Nibali · 1×
Citations per year

Countries citing papers authored by Tommaso Sciortino

Since Specialization
Citations

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

Fields of papers citing papers by Tommaso Sciortino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tommaso Sciortino

This figure shows the co-authorship network connecting the top 25 collaborators of Tommaso Sciortino. A scholar is included among the top collaborators of Tommaso Sciortino 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 Tommaso Sciortino. Tommaso Sciortino 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
#WorkIndexed citations
1 2
2 0
3 0
4 1
5 1
6 1
7 1
8 9
9 1
10 25
11 37
12 19
13 79
14 21
15 6
16 11
17 10
18 24
19 55
20 1

About Tommaso Sciortino

Tommaso Sciortino is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Analytical Chemistry, having authored 37 papers that have together received 646 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (23 papers), Meningioma and schwannoma management (10 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Genetics (314 citations), Biophysics (90 citations) and Neurology (88 citations). Tommaso Sciortino has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Marco Rossi, Lorenzo Bello, Marco Conti Nibali, Marco Riva, Lorenzo Gay, Antonella Leonetti, Guglielmo Puglisi, Federico Pessina, Gabriella Cerri and Henrietta Howells. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Brain.

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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