Gaia Ninatti

429 total citations
18 papers, 249 citations indexed

About

Gaia Ninatti is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Gaia Ninatti has authored 18 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 4 papers in Genetics. Recurrent topics in Gaia Ninatti's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (4 papers) and Glioma Diagnosis and Treatment (4 papers). Gaia Ninatti is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (4 papers) and Glioma Diagnosis and Treatment (4 papers). Gaia Ninatti collaborates with scholars based in Italy, Australia and Jordan. Gaia Ninatti's co-authors include Martina Sollini, Arturo Chiti, Margarita Kirienko, Lidija Antunovic, Luca Cozzi, Emanuele Neri, Fabrizia Gelardi, Noemi Gozzi, Emanuele Voulaz and Paolo Andrea Zucali and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurosurgery and Theranostics.

In The Last Decade

Gaia Ninatti

17 papers receiving 244 citations

Peers

Gaia Ninatti
Comparison fields: 5 of 51
  • Radiology, Nuclear Medicine and Imaging 182
  • Pulmonary and Respiratory Medicine 72
  • Biomedical Engineering 51
  • Artificial Intelligence 49
  • Oncology 37
Replace Xiaoming Zhou with:
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Aditi Iyer United States
Martijn P. A. Starmans Netherlands
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Camilla Scapicchio Italy
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Guangying Ruan China
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Xiaoming Zhou China View profile →
Citations per field, relative to Gaia Ninatti
Gaia Ninatti · 1×
Citations per year, relative to Gaia Ninatti
Gaia Ninatti · 1×

Countries citing papers authored by Gaia Ninatti

Since Specialization
Citations

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

Fields of papers citing papers by Gaia Ninatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaia Ninatti

This figure shows the co-authorship network connecting the top 25 collaborators of Gaia Ninatti. A scholar is included among the top collaborators of Gaia Ninatti 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 Ninatti. Gaia Ninatti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 5
2 0
3 1
4 1
5 1
6 2
7 13
8 4
9 11
10 6
11 4
12 26
13 7
14 27
15 47
16 48
17 1
18 45

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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