Martina Sollini

5.2k citations
127 papers · 3.2k indexed · h-index 33
Topics
Radiomics and Machine Learning in Medical Imaging (51 papers)Medical Imaging Techniques and Applications (35 papers)Radiopharmaceutical Chemistry and Applications (19 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood

In The Last Decade

Martina Sollini

116 papers receiving 3.2k citations

Peers

Martina Sollini
Comparison fields: 5 of 120
  • Radiology, Nuclear Medicine and Imaging 1.9k
  • Pulmonary and Respiratory Medicine 922
  • Oncology 653
  • Surgery 616
  • Epidemiology 512
Replace Marius E. Mayerhoefer with:
Marius E. Mayerhoefer Austria
Shuixing Zhang China
Massimo Imbriaco Italy
Andrew Scarsbrook United Kingdom
Patrick V. Granton Netherlands
Nickolas Papanikolaou Greece
Simone Maurea Italy
Spencer C. Behr United States
Ruben T. H. M. Larue Netherlands
Sebastian Sanduleanu Netherlands
Martina Sollini relative to Marius E. Mayerhoefer Austria Marius E. Mayerhoefer's profile →
Citations per field
00.5×1.5×
Marius E. Mayerhoefer · 1×
Citations per year

Countries citing papers authored by Martina Sollini

Since Specialization
Citations

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

Fields of papers citing papers by Martina Sollini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Sollini

This figure shows the co-authorship network connecting the top 25 collaborators of Martina Sollini. A scholar is included among the top collaborators of Martina Sollini 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 Martina Sollini. Martina Sollini 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
#WorkIndexed citations
1 1
2 1
3 1
4 2
5 13
6 11
7 6
8 3
9 10
10 47
11 7
12 32
13 11
14 116
15 110
16 73
17 1
18 13
19 59
20 5

About Martina Sollini

Martina Sollini is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Pulmonary and Respiratory Medicine, having authored 127 papers that have together received 3.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (51 papers), Medical Imaging Techniques and Applications (35 papers) and Radiopharmaceutical Chemistry and Applications (19 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.9k citations), Health Informatics (103 citations) and Pulmonary and Respiratory Medicine (922 citations). Martina Sollini has collaborated with scholars based in Italy, Netherlands and Switzerland. Frequent co-authors include Arturo Chiti, Margarita Kirienko, Lidija Antunovic, Luca Cozzi, Paola Anna Erba, Fabrizia Gelardi, Emanuele Voulaz, Alexia Rossi, Francesco Fiz and Antonella Fogliata. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

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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