Giulia Picozzi

1.7k citations
34 papers · 1.2k · h-index 16

Impact in

Papers in

Giulia Picozzi

33 papers receiving 1.2k citations

Peers

Giulia Picozzi
Comparison fields: 5 of 64
  • Pulmonary and Respiratory Medicine 931
  • Radiology, Nuclear Medicine and Imaging 487
  • Otorhinolaryngology 26
  • Oncology 149
  • Cancer Research 47
Replace Emanuele Voulaz with:
Emanuele Voulaz Italy
Andrea Lopes Pegna Italy
Noriyuki Kadoya Japan
Massimo Falchini Italy
Bhudatt Paliwal United States
Jiangdian Song China
H. McCallum United Kingdom
Barbara Galen United States
Maurizio Chiarenza Italy
Alexander N. Hanania United States
Giulia Picozzi relative to Emanuele Voulaz Italy Emanuele Voulaz's profile →
Citations per field
00.5×1.5×2.0×
Emanuele Voulaz · 1×
Citations per year

Countries citing papers authored by Giulia Picozzi

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Picozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008233
2 2017226
3 2011105
4 2008105
5 2013102
6 200653
7
Screening of lung cancer with low dose spiral CT: results of a three year pilot study and design of the randomised controlled trial ''Italung-CT''.
200549
8 200843
9 201239
10 201729
11 202227
12 202121
13 201921
14 200720
15 201417
16 201816
17 202314
18 200914
19 200912
20 200612

About Giulia Picozzi

Giulia Picozzi is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Reproductive Medicine and Cancer Research, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (23 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Lung Cancer Treatments and Mutations (5 papers), Medical Imaging Techniques and Applications (4 papers), Endometriosis Research and Treatment (3 papers), Cancer Genomics and Diagnostics (3 papers), Advanced X-ray and CT Imaging (3 papers) and Radiation Dose and Imaging (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (931 citations), Radiology, Nuclear Medicine and Imaging (487 citations), Otorhinolaryngology (26 citations), Oncology (149 citations) and Cancer Research (47 citations). Giulia Picozzi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Mario Mascalchi, Andrea Lopes Pegna, Euǵenio Paci, Fabio Falaschi, Massimo Falchini, Laura Carrozzi, Stefano Diciotti, Marco Zappa, F. Innocenti and Michela Grazzini. Their work appears in journals such as Lung Cancer, European Journal of Radiology, Journal of Thoracic Oncology, European Radiology and Thorax.

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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