Roberto Sanz‐Requena
- Radiology, Nuclear Medicine and Imaging top 10%
- Reproductive Medicine top 5%
- Public Health, Environmental and Occupational Health
- Pediatrics, Perinatology and Child Health
- Surgery
- Co-authors
- Luis Martí‐BonmatíGracián García‐MartíÁngel Alberich‐BayarriDavid MoratalRaúl GómezAntónio PellicerCarlos SimónEdurne Novella-Maestre
- Topics
- MRI in cancer diagnosis (14 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)Advanced MRI Techniques and Applications (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- SpainUnited StatesColombia
In The Last Decade
Roberto Sanz‐Requena
45 papers receiving 633 citations
Peers
Comparison fields: 5 of 105
- Radiology, Nuclear Medicine and Imaging 197
- Reproductive Medicine 133
- Public Health, Environmental and Occupational Health 86
- Pediatrics, Perinatology and Child Health 79
- Surgery 77
Countries citing papers authored by Roberto Sanz‐Requena
This map shows the geographic impact of Roberto Sanz‐Requena'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 Sanz‐Requena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Sanz‐Requena more than expected).
Fields of papers citing papers by Roberto Sanz‐Requena
This network shows the impact of papers produced by Roberto Sanz‐Requena. 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 Sanz‐Requena. The network helps show where Roberto Sanz‐Requena may publish in the future.
Co-authorship network of co-authors of Roberto Sanz‐Requena
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Sanz‐Requena. A scholar is included among the top collaborators of Roberto Sanz‐Requena 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 Roberto Sanz‐Requena. Roberto Sanz‐Requena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 20 | |
| 3 | 17 | |
| 4 | 12 | |
| 5 | 8 | |
| 6 | 11 | |
| 7 | 14 | |
| 8 | 1 | |
| 9 | 26 | |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 32 | |
| 13 | 30 | |
| 14 | 7 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 11 | |
| 19 | 5 | |
| 20 | 41 |
About Roberto Sanz‐Requena
Roberto Sanz‐Requena is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Psychiatry and Mental health, having authored 46 papers that have together received 647 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced MRI Techniques and Applications (7 papers). The work is most often cited by research in Reproductive Medicine (133 citations), Radiology, Nuclear Medicine and Imaging (197 citations) and Internal Medicine (22 citations). Roberto Sanz‐Requena has collaborated with scholars based in Spain, United States and Colombia. Frequent co-authors include Luis Martí‐Bonmatí, Gracián García‐Martí, Ángel Alberich‐Bayarri, David Moratal, Raúl Gómez, António Pellicer, Carlos Simón, Edurne Novella-Maestre, Manuel Fernández Sánchez and Claudio Ãlvarez. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.