Montserrat Muñoz-Mateu
- Oncology top 1%
- Cancer Research top 1%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- Aleix PratPatricia GalvánBárbara AdamoAranzazu Fernández-MartínezAna AranceEstela PinedaMargarita ViladotLydia Gaba
- Topics
- Breast Cancer Treatment Studies (68 papers)Advanced Breast Cancer Therapies (64 papers)Cancer Treatment and Pharmacology (63 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Montserrat Muñoz-Mateu
179 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Oncology 2.5k
- Cancer Research 1.6k
- Molecular Biology 1.3k
- Pulmonary and Respiratory Medicine 996
- Radiology, Nuclear Medicine and Imaging 845
Countries citing papers authored by Montserrat Muñoz-Mateu
This map shows the geographic impact of Montserrat Muñoz-Mateu'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 Montserrat Muñoz-Mateu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Montserrat Muñoz-Mateu more than expected).
Fields of papers citing papers by Montserrat Muñoz-Mateu
This network shows the impact of papers produced by Montserrat Muñoz-Mateu. 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 Montserrat Muñoz-Mateu. The network helps show where Montserrat Muñoz-Mateu may publish in the future.
Co-authorship network of co-authors of Montserrat Muñoz-Mateu
This figure shows the co-authorship network connecting the top 25 collaborators of Montserrat Muñoz-Mateu. A scholar is included among the top collaborators of Montserrat Muñoz-Mateu 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 Montserrat Muñoz-Mateu. Montserrat Muñoz-Mateu 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 | 4 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 14 | |
| 11 | 88 | |
| 12 | 60 | |
| 13 | 0 | |
| 14 | 112 | |
| 15 | Clinical implications of the intrinsic molecular subtypes of breast cancerbreakdown → | 751 |
| 16 | 61 | |
| 17 | 27 | |
| 18 | 208 | |
| 19 | Prospective evaluation of tumor markers (c-erbB-2 oncoprotein, CEA and CA 15.3) in patients with locoregional breast cancer. | 40 |
| 20 | 1 |
About Montserrat Muñoz-Mateu
Montserrat Muñoz-Mateu is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 189 papers that have together received 4.4k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (68 papers), Advanced Breast Cancer Therapies (64 papers) and Cancer Treatment and Pharmacology (63 papers). The work is most often cited by research in Cancer Research (1.6k citations), Oncology (2.5k citations) and Radiology, Nuclear Medicine and Imaging (845 citations). Montserrat Muñoz-Mateu has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Aleix Prat, Patricia Galván, Bárbara Adamo, Aranzazu Fernández-Martínez, Ana Arance, Estela Pineda, Margarita Viladot, Lydia Gaba, Marc Díez and B. Farrús. Their work appears in journals such as Nature Materials, Journal of Clinical Oncology and PLoS ONE.
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.