M Caterino

700 citations
31 papers · 474 indexed · h-index 13
Topics
Lung Cancer Diagnosis and Treatment (7 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Lung Cancer Treatments and Mutations (5 papers)

In The Last Decade

M Caterino

27 papers receiving 457 citations

Peers

M Caterino
Comparison fields: 5 of 73
  • Surgery 221
  • Pulmonary and Respiratory Medicine 157
  • Oncology 127
  • Radiology, Nuclear Medicine and Imaging 90
  • Pathology and Forensic Medicine 80
Replace Avraham Eisbruch with:
Avraham Eisbruch United States
Chung T. Chung United States
Ryoichi Yoshimura Japan
F.W. Poon United Kingdom
E. Meroni Italy
Rachana Shah United States
Y Kawashima Japan
Lionel Schour United States
Koray Ceyhan Türkiye
Masakuni Sakaguchi Japan
M Caterino relative to Avraham Eisbruch United States Avraham Eisbruch's profile →
Citations per field
00.5×7.5×
Avraham Eisbruch · 1×
Citations per year

Countries citing papers authored by M Caterino

Since Specialization
Citations

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

Fields of papers citing papers by M Caterino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Caterino

This figure shows the co-authorship network connecting the top 25 collaborators of M Caterino. A scholar is included among the top collaborators of M Caterino 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 M Caterino. M Caterino 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 1
3 0
4 0
5 20
6 1
7 21
8 26
9 16
10 4
11 22
12 12
13 4
14 104
15 22
16 21
17 44
18
[MR in rectal cancer recurrences].
3
19
[Diagnostic imaging of bone metastases].
1
20 48

About M Caterino

M Caterino is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 474 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Surgery (221 citations), Pulmonary and Respiratory Medicine (157 citations) and Oncology (127 citations). M Caterino has collaborated with scholars based in Italy, United States and Malaysia. Frequent co-authors include M Crecco, Alfredo Pompili, Fabrizio Caroli, Emanuele Occhipinti, Laura Raus, L Carpanese, Gianfranco Gualdi, Erino Angelo Rendina, Francesco Facciolo and C. Ricci. Their work appears in journals such as Cancer, Spine and Journal of neurosurgery.

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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