Marta Ligero
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Oncology
- Biomedical Engineering
- Co-authors
- Raquel Pérez-LópezJakob Nikolas KatherAlonso García-RuizNarmin Ghaffari LalehKinga BernatowiczOmar S. M. El NahhasRodrigo DienstmannNahum Calvo
- Topics
- Radiomics and Machine Learning in Medical Imaging (17 papers)AI in cancer detection (5 papers)Advanced X-ray and CT Imaging (5 papers)
- Journals
- Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- SpainGermanyUnited Kingdom
In The Last Decade
Marta Ligero
19 papers receiving 348 citations
Hit Papers
Peers
Comparison fields: 5 of 51
- Radiology, Nuclear Medicine and Imaging 241
- Pulmonary and Respiratory Medicine 90
- Artificial Intelligence 90
- Oncology 85
- Biomedical Engineering 61
Countries citing papers authored by Marta Ligero
This map shows the geographic impact of Marta Ligero'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 Marta Ligero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Ligero more than expected).
Fields of papers citing papers by Marta Ligero
This network shows the impact of papers produced by Marta Ligero. 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 Marta Ligero. The network helps show where Marta Ligero may publish in the future.
Co-authorship network of co-authors of Marta Ligero
This figure shows the co-authorship network connecting the top 25 collaborators of Marta Ligero. A scholar is included among the top collaborators of Marta Ligero 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 Marta Ligero. Marta Ligero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 14 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | In-context learning enables multimodal large language models to classify cancer pathology imagesbreakdown → | 47 |
| 8 | 8 | |
| 9 | 27 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 35 | |
| 15 | 23 | |
| 16 | 17 | |
| 17 | 113 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 12 |
About Marta Ligero
Marta Ligero is a scholar working on Radiology, Nuclear Medicine and Imaging, Equine and Oncology, having authored 20 papers that have together received 350 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (17 papers), AI in cancer detection (5 papers) and Advanced X-ray and CT Imaging (5 papers). The work is most often cited by research in Health Informatics (27 citations), Radiology, Nuclear Medicine and Imaging (241 citations) and Oncology (85 citations). Marta Ligero has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include Raquel Pérez-López, Jakob Nikolas Kather, Alonso García-Ruiz, Narmin Ghaffari Laleh, Kinga Bernatowicz, Omar S. M. El Nahhas, Rodrigo Dienstmann, Nahum Calvo, Manuel Escobar and Arturo Navarro-Martín. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.