Raquel Pérez-López
- Health Informatics top 5%
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- Radiomics and Machine Learning in Medical Imaging 25
- MRI in cancer diagnosis 9
- Radiopharmaceutical Chemistry and Applications 6
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- Prostate Cancer Treatment and Research 14
- Prostate Cancer Diagnosis and Treatment 7
- Cancer Research top 10%
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- Cancer Immunotherapy and Biomarkers 9
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- Glioma Diagnosis and Treatment 9
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- Advanced X-ray and CT Imaging 7
- Co-authors
- Johann S. de BonoJoaquı́n MateoDavid LorenteJakob Nikolas KatherGerhardt AttardNarmin Ghaffari LalehNina TunariuMarta Ligero
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- Journal of Clinical Oncology (4 papers)SHILAP Revista de lepidopterología (1 paper)Nature reviews. Cancer (1 paper)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Raquel Pérez-López
53 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Health Informatics 45
- Radiology, Nuclear Medicine and Imaging 627
- Pulmonary and Respiratory Medicine 617
- Cancer Research 212
- Oncology 219
Countries citing papers authored by Raquel Pérez-López
This map shows the geographic impact of Raquel Pérez-López'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 Raquel Pérez-López with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raquel Pérez-López more than expected).
Fields of papers citing papers by Raquel Pérez-López
This network shows the impact of papers produced by Raquel Pérez-López. 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 Raquel Pérez-López. The network helps show where Raquel Pérez-López may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Raquel Pérez-López, 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 | 3 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 9 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 15 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 13 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 4 | |
| 12 | A guide to artificial intelligence for cancer researchersbreakdown → | 2024 | 89 |
| 13 | 2023 | 8 | |
| 14 | 2023 | 13 | |
| 15 | 2023 | 2 | |
| 16 | 2022 | 35 | |
| 17 | 2019 | 50 | |
| 18 | 2018 | 111 | |
| 19 | 2017 | 1 | |
| 20 | 2016 | 15 |
About Raquel Pérez-López
Raquel Pérez-López is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (25 papers), Prostate Cancer Treatment and Research (14 papers), MRI in cancer diagnosis (9 papers), Glioma Diagnosis and Treatment (9 papers), Cancer Immunotherapy and Biomarkers (9 papers), Advanced X-ray and CT Imaging (7 papers), Prostate Cancer Diagnosis and Treatment (7 papers) and Radiopharmaceutical Chemistry and Applications (6 papers). The work is most often cited by research in Health Informatics (45 citations), Radiology, Nuclear Medicine and Imaging (627 citations) and Pulmonary and Respiratory Medicine (617 citations). Raquel Pérez-López has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Johann S. de Bono, Joaquı́n Mateo, David Lorente, Jakob Nikolas Kather, Gerhardt Attard, Narmin Ghaffari Laleh, Nina Tunariu, Marta Ligero, Faisal Mahmood and Alonso García-Ruiz. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Nature reviews. Cancer.
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.