Amalia Milano

466 total citations
19 papers, 365 citations indexed

About

Amalia Milano is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Amalia Milano has authored 19 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 6 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Amalia Milano's work include HER2/EGFR in Cancer Research (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Medical Imaging Techniques and Applications (3 papers). Amalia Milano is often cited by papers focused on HER2/EGFR in Cancer Research (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Medical Imaging Techniques and Applications (3 papers). Amalia Milano collaborates with scholars based in Italy, United States and France. Amalia Milano's co-authors include Francesco Caponigro, Rosario Vincenzo Iaffaioli, Andrea Ciarmiello, Francesco Longo, Rosario V. Iaffaioli, Alessandro Ottaiano, Elisabetta Giovannini, Christos Sotiriou, Martine Piccart and Lissandra Dal Lago and has published in prestigious journals such as Journal of Cellular Physiology, European Journal of Cancer and Current Pharmaceutical Design.

In The Last Decade

Amalia Milano

19 papers receiving 356 citations

Peers

Amalia Milano
Comparison fields: 5 of 65
  • Oncology 150
  • Molecular Biology 149
  • Pulmonary and Respiratory Medicine 89
  • Surgery 67
  • Radiology, Nuclear Medicine and Imaging 60
Replace Lucia Raimondo with:
Lucia Raimondo Italy
Roland Jacob Germany
Lin Pan United States
Yanjie You China
Xianglin Yuan China
Rubén Fragoso United States
Hemangini H. Vora India
Laura López-Vicente Spain
Teppei Jinno Japan
Lucia Raimondo Italy View profile →
Citations per field, relative to Amalia Milano
Amalia Milano · 1×
Citations per year, relative to Amalia Milano
Amalia Milano · 1×

Countries citing papers authored by Amalia Milano

Since Specialization
Citations

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

Fields of papers citing papers by Amalia Milano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amalia Milano

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 4
2 3
3 1
4 32
5 19
6 12
7 18
8 52
9 4
10 5
11 76
12
First line targeted therapies in breast cancer: focus on bevacizumab.
2
13 16
14 23
15 2
16 37
17 17
18 11
19
Biological prognostic factors in adult soft tissue sarcomas.
31

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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