Roberto Sanz‐Requena

923 total citations
46 papers, 647 citations indexed

About

Roberto Sanz‐Requena is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Orthopedics and Sports Medicine. According to data from OpenAlex, Roberto Sanz‐Requena has authored 46 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Orthopedics and Sports Medicine. Recurrent topics in Roberto Sanz‐Requena's 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). Roberto Sanz‐Requena is often cited by papers focused on MRI in cancer diagnosis (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced MRI Techniques and Applications (7 papers). Roberto Sanz‐Requena collaborates with scholars based in Spain, United States and Colombia. Roberto Sanz‐Requena's 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 Álvarez and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Roberto Sanz‐Requena

45 papers receiving 633 citations

Peers

Roberto Sanz‐Requena
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
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Citations per field, relative to Roberto Sanz‐Requena
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Citations per year, relative to Roberto Sanz‐Requena
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Countries citing papers authored by Roberto Sanz‐Requena

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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