Gorane Santamaría

1.3k citations
37 papers · 972 · h-index 17

Impact in

Papers in

Gorane Santamaría

36 papers receiving 936 citations

Peers

Gorane Santamaría
Comparison fields: 5 of 66
  • Cancer Research 382
  • Radiology, Nuclear Medicine and Imaging 354
  • Pathology and Forensic Medicine 235
  • Dermatology 63
  • Oncology 137
Replace Thiemo J. A. van Nijnatten with:
Thiemo J. A. van Nijnatten Netherlands
Yoon Jung Choi South Korea
Pat W. Whitworth United States
M. Perla Vargas United States
Yung‐Feng Lo Taiwan
Mirinae Seo South Korea
Liulu Zhang China
Caroline Malhaire France
Lee J. McGhan United States
Hye Yoon Lee South Korea
Gorane Santamaría relative to Thiemo J. A. van Nijnatten Netherlands Thiemo J. A. van Nijnatten's profile →
Citations per field
00.5×7.9×
Thiemo J. A. van Nijnatten · 1×
Citations per year

Countries citing papers authored by Gorane Santamaría

Since Specialization
Citations

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

Fields of papers citing papers by Gorane Santamaría

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gorane Santamaría, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gorane Santamaría Line = papers co-authored together Gorane Santamaría links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008219
2 200471
3 200570
4 201062
5 201658
6 200558
7 199851
8 200735
9 200435
10 201535
11 201932
12 200530
13 200529
14 201425
15 200924
16 201018
17 200616
18 200515
19 201511
20 200411

About Gorane Santamaría

Gorane Santamaría is a scholar working on Cancer Research, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Oncology and Surgery, having authored 37 papers that have together received 972 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (12 papers), Breast Lesions and Carcinomas (9 papers), MRI in cancer diagnosis (7 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers), Advanced MRI Techniques and Applications (2 papers), Digital Radiography and Breast Imaging (2 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper). The work is most often cited by research in Cancer Research (382 citations), Radiology, Nuclear Medicine and Imaging (354 citations), Pathology and Forensic Medicine (235 citations), Dermatology (63 citations) and Oncology (137 citations). Gorane Santamaría has collaborated with scholars based in Spain, Australia and United States. Frequent co-authors include Martín Velasco, Pedro L. Fernández, B. Farrús, Gabriel Zanón, Françesca Pons, Montserrat Muñoz-Mateu, Xavier Bargalló, Pilar Paredes, Joan Duch and M. Fontanillas. Their work appears in journals such as Radiology, European Journal of Radiology, American Journal of Roentgenology, The Breast Journal and European Journal of Nuclear Medicine and Molecular Imaging.

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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