Giulia Succio

412 citations
15 papers · 286 · h-index 8

Impact in

Papers in

    • Peripheral Nerve Disorders 6
    • Radiomics and Machine Learning in Medical Imaging 3
    • Nerve Injury and Rehabilitation 5
    • Orthopedic Surgery and Rehabilitation 2
    • Cervical and Thoracic Myelopathy 2

Giulia Succio

14 papers receiving 280 citations

Peers

Giulia Succio
Comparison fields: 5 of 39
  • Radiology, Nuclear Medicine and Imaging 131
  • Rheumatology 66
  • Geriatrics and Gerontology 17
  • Hematology 48
  • Orthopedics and Sports Medicine 30
Replace M.J.M. Minten with:
M.J.M. Minten Netherlands
Toshihisa Osanai Japan
Julie O’Brien Ireland
Mesut Öztürk Türkiye
A. Sabaté-Llobera Spain
H. J. Gallowitsch Austria
C. Beckers Belgium
Matteo Longhi Italy
Fenne Wouters Netherlands
J. L. Bloem Netherlands
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Citations per field
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M.J.M. Minten · 1×
Citations per year

Countries citing papers authored by Giulia Succio

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Succio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200556
2 201043
3 201939
4 201934
5 201130
6 201225
7 201021
8 201220
9 20096
10 20204
11 20163
12 20203
13 20101
14
US-guided Treatment of Meralgia Paresthetica (Lateral Femoral Cutaneous Nerve Neuropathy): Results of Treatment in 9 Patients
20101
15
Diagnostic performance of brachial plexus US
20120

About Giulia Succio

Giulia Succio is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Rheumatology, Hematology and Physiology, having authored 15 papers that have together received 286 indexed citations. Recurring topics across this work include Peripheral Nerve Disorders (6 papers), Nerve Injury and Rehabilitation (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Multiple Myeloma Research and Treatments (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Tendon Structure and Treatment (2 papers), Orthopedic Surgery and Rehabilitation (2 papers) and Cervical and Thoracic Myelopathy (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (131 citations), Rheumatology (66 citations), Geriatrics and Gerontology (17 citations), Hematology (48 citations) and Orthopedics and Sports Medicine (30 citations). Giulia Succio has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Alberto Tagliafico, Carlo Martinoli, Giovanni Serafini, Bianca Bignotti, Federica Rossi, Massimo Calabrese, Francesca Valdora, Marco A. Cimmino, Giacomo Garlaschi and Stefania Innocenti. Their work appears in journals such as European Journal of Radiology, Skeletal Radiology, SpringerPlus, British Journal of Radiology and Journal of the American College of Cardiology.

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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