Mauro Mansutti
- Oncology top 2%
- Cancer Research top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Molecular Biology
- Co-authors
- Luca GianniSemiglazov VfPinuccia ValagussaMilvia ZambettiMiguel Ángel ClimentJosé BaselgaEva CiruelosA. Feyereislova
- Topics
- Cancer Treatment and Pharmacology (18 papers)Advanced Breast Cancer Therapies (17 papers)HER2/EGFR in Cancer Research (13 papers)
In The Last Decade
Mauro Mansutti
29 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Oncology 1.2k
- Cancer Research 740
- Radiology, Nuclear Medicine and Imaging 358
- Pulmonary and Respiratory Medicine 312
- Molecular Biology 199
Countries citing papers authored by Mauro Mansutti
This map shows the geographic impact of Mauro Mansutti'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 Mauro Mansutti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Mansutti more than expected).
Fields of papers citing papers by Mauro Mansutti
This network shows the impact of papers produced by Mauro Mansutti. 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 Mauro Mansutti. The network helps show where Mauro Mansutti may publish in the future.
Co-authorship network of co-authors of Mauro Mansutti
This figure shows the co-authorship network connecting the top 25 collaborators of Mauro Mansutti. A scholar is included among the top collaborators of Mauro Mansutti 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 Mauro Mansutti. Mauro Mansutti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 122 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 199 | |
| 11 | 16 | |
| 12 | 14 | |
| 13 | 29 | |
| 14 | Neoadjuvant chemotherapy with trastuzumab followed by adjuvant trastuzumab versus neoadjuvant chemotherapy alone, in patients with HER2-positive locally advanced breast cancer (the NOAH trial): a randomised controlled superiority trial with a parallel HER2-negative cohortbreakdown → | 891 |
| 15 | 17 | |
| 16 | 5 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 29 | |
| 20 | 36 |
About Mauro Mansutti
Mauro Mansutti is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (18 papers), Advanced Breast Cancer Therapies (17 papers) and HER2/EGFR in Cancer Research (13 papers). The work is most often cited by research in Cancer Research (740 citations), Oncology (1.2k citations) and Radiology, Nuclear Medicine and Imaging (358 citations). Mauro Mansutti has collaborated with scholars based in Italy, Spain and Germany. Frequent co-authors include Luca Gianni, Semiglazov Vf, Pinuccia Valagussa, Milvia Zambetti, Miguel Ángel Climent, José Baselga, Eva Ciruelos, A. Feyereislova, Alexey Manikhas and Aňa Lluch. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and Cancer Research.
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.