Davide Gandola

24 papers receiving 269 citations

Peers

Davide Gandola
Comparison fields: 5 of 57
  • Health Informatics 31
  • Critical Care and Intensive Care Medicine 30
  • Radiology, Nuclear Medicine and Imaging 139
  • Infectious Diseases 45
  • Oncology 40
Replace Serena Carriero with:
Serena Carriero Italy
Giuliana Giacobbe Italy
Chiara D. Arru United States
Victor Savevski Italy
Silvia Lucarini Italy
Cesare Maino Italy
Marco Albanesi Italy
Zhenchao Tang China
Gianmarco Della Pepa Italy
Davide Gandola relative to Serena Carriero Italy Serena Carriero's profile →
Citations per field
00.5×1.7×
Serena Carriero · 1×
Citations per year

Countries citing papers authored by Davide Gandola

Since Specialization
Citations

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

Fields of papers citing papers by Davide Gandola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202169
2 202027
3 202127
4 202025
5 202023
6 202016
7 202116
8 202411
9 202110
10 20249
11 20239
12 20216
13 20216
14 20224
15 20194
16 20222
17 20242
18 20212
19 20231
20 20221

About Davide Gandola

Davide Gandola is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Hematology, Physiology and Infectious Diseases, having authored 26 papers that have together received 274 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (3 papers), Nutrition and Health in Aging (3 papers), Multiple Myeloma Research and Treatments (3 papers), Advanced X-ray and CT Imaging (2 papers), Medical Imaging Techniques and Applications (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Radiation Dose and Imaging (2 papers) and Peripheral Neuropathies and Disorders (2 papers). The work is most often cited by research in Health Informatics (31 citations), Critical Care and Intensive Care Medicine (30 citations), Radiology, Nuclear Medicine and Imaging (139 citations), Infectious Diseases (45 citations) and Oncology (40 citations). Davide Gandola has collaborated with scholars based in Italy, Netherlands and Romania. Frequent co-authors include Davide Ippolito, Cesare Maino, Sandro Sironi, Cammillo Talei Franzesi, Cristina Messa, Matteo Interlenghi, Caterina Beatrice Monti, Christian Salvatore, Rocco Corso and Anna Pecorelli. Their work appears in journals such as European Journal of Radiology, La radiologia medica, World Journal of Clinical Oncology, British Journal of Radiology and Pancreas.

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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