Rafael Cabrera

25 papers receiving 316 citations

Peers

Rafael Cabrera
Comparison fields: 5 of 44
  • Endocrinology, Diabetes and Metabolism 76
  • Pulmonary and Respiratory Medicine 122
  • Gastroenterology 15
  • Rheumatology 38
  • Cancer Research 34
Replace Akira Sata with:
Akira Sata Japan
Nadia Ben Lagha France
Shin Ishihara Japan
Yan-Ye Su Taiwan
Ferhunde Dizdaroğlu Türkiye
Hyung-Min Chin South Korea
Addy C.M. van de Luijtgaarden Netherlands
Pinhas Schächter Israel
Adalbert Raimann Austria
Jin Yao China
Rafael Cabrera relative to Akira Sata Japan Akira Sata's profile →
Citations per field
00.5×2.7×
Akira Sata · 1×
Citations per year

Countries citing papers authored by Rafael Cabrera

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Cabrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rafael Cabrera, 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 Rafael Cabrera Line = papers co-authored together Rafael Cabrera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201293
2 200630
3 201727
4 201821
5 200619
6 198819
7 201715
8 200414
9 202112
10 201410
11 20218
12 20246
13 20026
14 20235
15 20215
16 20125
17 20164
18 20154
19 19894
20 20183

About Rafael Cabrera

Rafael Cabrera is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Rheumatology, having authored 26 papers that have together received 321 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (11 papers), Sarcoma Diagnosis and Treatment (4 papers), Urologic and reproductive health conditions (2 papers), BRCA gene mutations in cancer (2 papers), Bone Tumor Diagnosis and Treatments (2 papers), Renal and related cancers (2 papers), Cancer-related Molecular Pathways (2 papers) and Oral and Maxillofacial Pathology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (76 citations), Pulmonary and Respiratory Medicine (122 citations), Gastroenterology (15 citations), Rheumatology (38 citations) and Cancer Research (34 citations). Rafael Cabrera has collaborated with scholars based in Portugal, United States and Spain. Frequent co-authors include Valeriano Leite, Mahul B. Amin, Branca Cavaco, Margarida M. Moura, Ming Zhou, Carlos E. Bacchi, Mahesha Vankalakunti, Ruta Gupta, Wolfram Jochum and Paulo Guilherme de Oliveira Salles. Their work appears in journals such as Clinical Endocrinology, The American Journal of Surgical Pathology, Diagnostic Cytopathology, European Thyroid Journal and Endocrine Pathology.

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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