Sandra Baleato‐González

1.2k citations
56 papers · 819 indexed · h-index 16
Topics
Radiomics and Machine Learning in Medical Imaging (16 papers)MRI in cancer diagnosis (11 papers)Medical Imaging Techniques and Applications (8 papers)
Journals
SHILAP Revista de lepidopterologíaAmerican Journal of RoentgenologyRadiographics

In The Last Decade

Sandra Baleato‐González

50 papers receiving 801 citations

Peers

Sandra Baleato‐González
Comparison fields: 5 of 80
  • Radiology, Nuclear Medicine and Imaging 355
  • Pulmonary and Respiratory Medicine 168
  • Surgery 152
  • Biomedical Engineering 136
  • Oncology 132
Replace Nicola Maggialetti with:
Nicola Maggialetti Italy
M Zeile Germany
Archi Agrawal India
Sneha Shah India
Sylvie Helfré France
Mitsuru Matsuki Japan
Martin Freesmeyer Germany
Katashi Satoh Japan
Isis Gayed United States
Tima Davidson Israel
Sandra Baleato‐González relative to Nicola Maggialetti Italy Nicola Maggialetti's profile →
Citations per field
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Nicola Maggialetti · 1×
Citations per year

Countries citing papers authored by Sandra Baleato‐González

Since Specialization
Citations

This map shows the geographic impact of Sandra Baleato‐González'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 Sandra Baleato‐González with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Baleato‐González more than expected).

Fields of papers citing papers by Sandra Baleato‐González

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandra Baleato‐González. 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 Sandra Baleato‐González. The network helps show where Sandra Baleato‐González may publish in the future.

Co-authorship network of co-authors of Sandra Baleato‐González

This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Baleato‐González. A scholar is included among the top collaborators of Sandra Baleato‐González 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 Sandra Baleato‐González. Sandra Baleato‐González 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
#WorkIndexed citations
1 0
2 3
3 8
4 3
5 7
6 3
7 14
8 1
9 79
10 48
11 2
12 1
13
Splenosis: non-invasive diagnosis of a great mimicker
8
14 18
15 42
16 25
17 84
18 15
19 1
20 135

About Sandra Baleato‐González

Sandra Baleato‐González is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Internal Medicine, having authored 56 papers that have together received 819 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (16 papers), MRI in cancer diagnosis (11 papers) and Medical Imaging Techniques and Applications (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (355 citations), Rheumatology (112 citations) and Hepatology (49 citations). Sandra Baleato‐González has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Roberto García‐Figueiras, Anwar R. Padhani, Antonio Luna, Joan C. Vilanova, Antonio Gómez‐Caamaño, Anxo Martínez de Alegría, Luis León‐Mateos, Vicky Goh, Laura Oleaga and Dow‐Mu Koh. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Roentgenology and Radiographics.

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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