Carolina Aparicio

508 total citations
11 papers, 122 citations indexed

About

Carolina Aparicio is a scholar working on Radiology, Nuclear Medicine and Imaging, Physiology and Molecular Biology. According to data from OpenAlex, Carolina Aparicio has authored 11 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Physiology and 3 papers in Molecular Biology. Recurrent topics in Carolina Aparicio's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Medical Imaging Techniques and Applications (2 papers). Carolina Aparicio is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Medical Imaging Techniques and Applications (2 papers). Carolina Aparicio collaborates with scholars based in Spain, Chile and Italy. Carolina Aparicio's co-authors include José Raúl Herance, Rafael Simó, Fabiola Carrara, Ilian Iliev, Annalisa Perna, Manuela Abbate, Barbara Ruggiero, Aneliya Parvanova, Stefano Rota and Matias Trillini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes and International Journal of Molecular Sciences.

In The Last Decade

Carolina Aparicio

11 papers receiving 121 citations

Peers

Carolina Aparicio
Comparison fields: 5 of 52
  • Physiology 49
  • Endocrinology, Diabetes and Metabolism 27
  • Surgery 21
  • Epidemiology 21
  • Molecular Biology 20
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Citations per field, relative to Carolina Aparicio
Carolina Aparicio · 1×
Citations per year, relative to Carolina Aparicio
Carolina Aparicio · 1×

Countries citing papers authored by Carolina Aparicio

Since Specialization
Citations

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

Fields of papers citing papers by Carolina Aparicio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carolina Aparicio. 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 Carolina Aparicio. The network helps show where Carolina Aparicio may publish in the future.

Co-authorship network of co-authors of Carolina Aparicio

This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Aparicio. A scholar is included among the top collaborators of Carolina Aparicio 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 Carolina Aparicio. Carolina Aparicio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 1
2 3
3 4
4 2
5 5
6 5
7 10
8 16
9 3
10 72
11
FUROSEMIDE TEST: ITS PATTERN IN NOT SEVERE CHRONIC RENAL DISEASE
1

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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2026