Raquel Luque

31 papers receiving 487 citations

Peers

Raquel Luque
Comparison fields: 5 of 81
  • Genetics 204
  • Cancer Research 119
  • Biomaterials 64
  • Pulmonary and Respiratory Medicine 125
  • Oncology 103
Replace Francois J. Geoffroy with:
Francois J. Geoffroy United States
John Latigo United Kingdom
Enqi Qiao China
E. Ruth Plummer United Kingdom
Buhai Wang China
Annemarie M.A. de Graaf Netherlands
D D Bigner United States
Jason M. Beckta United States
Lanfang Li China
Mansooreh Jaberipour Iran
Raquel Luque relative to Francois J. Geoffroy United States Francois J. Geoffroy's profile →
Citations per field
00.5×10.7×
Francois J. Geoffroy · 1×
Citations per year

Countries citing papers authored by Raquel Luque

Since Specialization
Citations

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

Fields of papers citing papers by Raquel Luque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020115
2 201785
3 201558
4 201754
5 201928
6 201422
7 201220
8 201517
9 201516
10 201210
11 201610
12 20217
13 20167
14 20166
15 20185
16 20244
17 20194
18 20093
19 20233
20 20192

About Raquel Luque

Raquel Luque is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Oncology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 35 papers that have together received 491 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (15 papers), Prostate Cancer Treatment and Research (9 papers), Radiopharmaceutical Chemistry and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Colorectal Cancer Treatments and Studies (4 papers), Cancer Treatment and Pharmacology (4 papers), Cancer Genomics and Diagnostics (4 papers) and Meningioma and schwannoma management (4 papers). The work is most often cited by research in Genetics (204 citations), Cancer Research (119 citations), Biomaterials (64 citations), Pulmonary and Respiratory Medicine (125 citations) and Oncology (103 citations). Raquel Luque has collaborated with scholars based in Spain, Switzerland and Italy. Frequent co-authors include Consolación Melguizo, José Prados, Raúl Ortíz, Laura Cabeza, Gloria Perazzoli, Cristina Jiménez‐Luna, Miguel Gil‐Gil, Maria Martinez‐García, Carmen Balañá and Juan Manuel Sepúlveda-Sánchez. Their work appears in journals such as Journal of Clinical Oncology, Clinical & Translational Oncology, Pharmacogenomics, Annals of Oncology and International Journal of Radiation Oncology*Biology*Physics.

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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