Roberto Salgado
Impact in
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- CAR-T cell therapy research
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
Papers in
-
- Cancer Genomics and Diagnostics 11
- Breast Cancer Treatment Studies 8
- Co-authors
- Christos SotiriouSherene LoiSanne Lysbet de HaasMichelino De LaurentiisFrancisco J. EstevaJigna ShahMark BeresfordHaiying Liu
- Journals
- Cancer Research (7 papers)Journal of Clinical Oncology (5 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (2 papers)European Journal of Cancer (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- BelgiumUnited StatesAustralia
In The Last Decade
Roberto Salgado
30 papers receiving 815 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Oncology 555
- Cancer Research 246
- Radiology, Nuclear Medicine and Imaging 204
- Health Informatics 11
- Immunology 133
Countries citing papers authored by Roberto Salgado
This map shows the geographic impact of Roberto Salgado'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 Roberto Salgado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Salgado more than expected).
Fields of papers citing papers by Roberto Salgado
This network shows the impact of papers produced by Roberto Salgado. 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 Roberto Salgado. The network helps show where Roberto Salgado may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roberto Salgado, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 31 | |
| 8 | Trastuzumab emtansine plus atezolizumab versus trastuzumab emtansine plus placebo in previously treated, HER2-positive advanced breast cancer (KATE2): a phase 2, multicentre, randomised, double-blind trial Hit paper breakdown → | 2020 | 280 |
| 9 | 2019 | 8 | |
| 10 | 2017 | 110 | |
| 11 | 2017 | 10 | |
| 12 | 2015 | 3 | |
| 13 | 2015 | 30 | |
| 14 | 2014 | 11 | |
| 15 | 2014 | 42 | |
| 16 | 2012 | 1 | |
| 17 | 2011 | 1 | |
| 18 | 2010 | 1 | |
| 19 | 2006 | 59 | |
| 20 | 2005 | 7 |
About Roberto Salgado
Roberto Salgado is a scholar working on Cancer Research, Health Informatics, Oncology, Radiology, Nuclear Medicine and Imaging and Statistics, Probability and Uncertainty, having authored 37 papers that have together received 822 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (11 papers), Cancer Genomics and Diagnostics (11 papers), Breast Cancer Treatment Studies (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), HER2/EGFR in Cancer Research (5 papers), Molecular Biology Techniques and Applications (4 papers), AI in cancer detection (3 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Oncology (555 citations), Cancer Research (246 citations), Radiology, Nuclear Medicine and Imaging (204 citations), Health Informatics (11 citations) and Immunology (133 citations). Roberto Salgado has collaborated with scholars based in Belgium, United States and Australia. Frequent co-authors include Christos Sotiriou, Sherene Loi, Sanne Lysbet de Haas, Michelino De Laurentiis, Francisco J. Esteva, Jigna Shah, Mark Beresford, Haiying Liu, Cristina Saura and Yifan Wang. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Clinical Chemistry and Laboratory Medicine (CCLM), European Journal of Cancer and Molecular Cancer Therapeutics.
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.