Gaia Spadarella

1.1k total citations
33 papers, 808 citations indexed

About

Gaia Spadarella is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Hematology. According to data from OpenAlex, Gaia Spadarella has authored 33 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Epidemiology and 7 papers in Hematology. Recurrent topics in Gaia Spadarella's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Hemophilia Treatment and Research (6 papers) and Atrial Fibrillation Management and Outcomes (5 papers). Gaia Spadarella is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Hemophilia Treatment and Research (6 papers) and Atrial Fibrillation Management and Outcomes (5 papers). Gaia Spadarella collaborates with scholars based in Italy, Russia and Germany. Gaia Spadarella's co-authors include Alessandro Di Minno, Renato Cuocolo, Lorenzo Ugga, Giovanni Di Minno, Roberta Lupoli, Elena Tremoli, Matteo Nicola Dario Di Minno, Mauro Pepi, A. Ravani and B. Frigerio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Endocrinology and European Radiology.

In The Last Decade

Gaia Spadarella

31 papers receiving 796 citations

Peers

Gaia Spadarella
Comparison fields: 5 of 95
  • Radiology, Nuclear Medicine and Imaging 244
  • Cardiology and Cardiovascular Medicine 223
  • Epidemiology 122
  • Surgery 112
  • Biomedical Engineering 112
Replace Damien Legallois with:
Damien Legallois France
Hideaki Jinnouchi Japan
Cory R. Trankle United States
Marie‐France Seronde France
Bożena Sobkowicz Poland
Max‐Paul Winter Austria
Toshiyuki Nagai Japan
Ying Zheng China
Édouard Ollier France
Stephanie H. Wilson United States
Damien Legallois France View profile →
Citations per field, relative to Gaia Spadarella
Gaia Spadarella · 1×
Citations per year, relative to Gaia Spadarella
Gaia Spadarella · 1×

Countries citing papers authored by Gaia Spadarella

Since Specialization
Citations

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

Fields of papers citing papers by Gaia Spadarella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaia Spadarella

This figure shows the co-authorship network connecting the top 25 collaborators of Gaia Spadarella. A scholar is included among the top collaborators of Gaia Spadarella 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 Gaia Spadarella. Gaia Spadarella 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
# Work Indexed citations
1 1
2 1
3 0
4 5
5 9
6 15
7 81
8 38
9 5
10 5
11 23
12 21
13 17
14 4
15 12
16 171
17 18
18 22
19 37
20 10

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026