Martina Sollini

5.2k total citations
127 papers, 3.2k citations indexed

About

Martina Sollini is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Martina Sollini has authored 127 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Radiology, Nuclear Medicine and Imaging, 44 papers in Pulmonary and Respiratory Medicine and 25 papers in Surgery. Recurrent topics in Martina Sollini's 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). Martina Sollini is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (51 papers), Medical Imaging Techniques and Applications (35 papers) and Radiopharmaceutical Chemistry and Applications (19 papers). Martina Sollini collaborates with scholars based in Italy, Netherlands and Switzerland. Martina Sollini's 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 and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

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
MingDe Lin United States
Nickolas Papanikolaou Greece
Shi‐Ting Feng China
Hidetake Yabuuchi Japan
Massimo Imbriaco Italy
Andrew Scarsbrook United Kingdom
Patrick Veit‐Haibach Switzerland
Hiroaki Hoshi Japan
Irene A. Burger Switzerland
Marius E. Mayerhoefer Austria View profile →
Citations per field, relative to Martina Sollini
Martina Sollini · 1×
Citations per year, relative to Martina Sollini
Martina Sollini · 1×

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
# Work Indexed 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

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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