Claudio Traino

1.8k citations
88 papers · 1.3k · h-index 20

Impact in

Papers in

Claudio Traino

82 papers receiving 1.3k citations

Peers

Claudio Traino
Comparison fields: 5 of 87
  • Radiology, Nuclear Medicine and Imaging 542
  • Endocrinology, Diabetes and Metabolism 328
  • Radiation 165
  • Neurology 70
  • Radiological and Ultrasound Technology 14
Replace Nobuyuki Kudomi with:
Nobuyuki Kudomi Japan
James A. Scott United States
Maggie A. Flower United Kingdom
Kunihiko Yokoyama Japan
Susan Moyher Noworolski United States
Paul V. Harper United States
Dennis D. Patton United States
Geoff Charles‐Edwards United Kingdom
Mohammad Amin Mosleh‐Shirazi Iran
Alfred Donath Switzerland
Claudio Traino relative to Nobuyuki Kudomi Japan Nobuyuki Kudomi's profile →
Citations per field
00.5×2×4×6.7×
Nobuyuki Kudomi · 1×
Citations per year

Countries citing papers authored by Claudio Traino

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Traino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200595
2 200878
3 202069
4 201264
5 200259
6 200846
7 200740
8 200740
9 200638
10 200536
11 200736
12 200935
13 200630
14 201429
15 199928
16 200227
17 201426
18 201125
19 200724
20 201124

About Claudio Traino

Claudio Traino is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Radiation and Hepatology, having authored 88 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (24 papers), Digital Radiography and Breast Imaging (19 papers), Thyroid Disorders and Treatments (14 papers), Thyroid Cancer Diagnosis and Treatment (10 papers), Advanced Radiotherapy Techniques (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Effects of Radiation Exposure (6 papers) and Radiation Dose and Imaging (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (542 citations), Endocrinology, Diabetes and Metabolism (328 citations), Radiation (165 citations), Neurology (70 citations) and Radiological and Ultrasound Technology (14 citations). Claudio Traino has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include Fabio Di Martino, Massimo Lazzeri, Marco Giannelli, Giuliano Mariani, Fabio Monzani, Mariano Grosso, Angela Dardano, M. G. Stabin, Giuseppe Boni and Nicoletta Botto. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, Radiation Protection Dosimetry, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

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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