Luis Javier Pina

752 total citations
7 papers, 225 citations indexed

About

Luis Javier Pina is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Surgery. According to data from OpenAlex, Luis Javier Pina has authored 7 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in Luis Javier Pina's work include Radiomics and Machine Learning in Medical Imaging (2 papers), MRI in cancer diagnosis (2 papers) and Medical Imaging Techniques and Applications (2 papers). Luis Javier Pina is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), MRI in cancer diagnosis (2 papers) and Medical Imaging Techniques and Applications (2 papers). Luis Javier Pina collaborates with scholars based in Spain and United States. Luis Javier Pina's co-authors include Alberto Alonso‐Burgos, Emilio García-Tutor, David Cano, Antonio Martínez-Cuesta, Gorka Bastarrika, Marta Santisteban, Susana Inogés, Macarena Rodríguez‐Fraile, Miguel Á. Idoate and Esteban Salgado and has published in prestigious journals such as Journal of Clinical Oncology, British Journal of Clinical Pharmacology and European Radiology.

In The Last Decade

Luis Javier Pina

7 papers receiving 223 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luis Javier Pina Spain 4 171 67 38 27 26 7 225
Weiwei Zhan China 9 224 1.3× 50 0.7× 29 0.8× 52 1.9× 8 0.3× 24 366
Danielle M. Richman United States 10 158 0.9× 23 0.3× 29 0.8× 78 2.9× 20 0.8× 14 325
María Teresa Achilarre Italy 10 104 0.6× 49 0.7× 24 0.6× 20 0.7× 19 0.7× 20 334
Claudia Ehritt-Braun Germany 4 77 0.5× 75 1.1× 43 1.1× 136 5.0× 15 0.6× 7 299
Maurizio Pinamonti Italy 9 71 0.4× 33 0.5× 49 1.3× 12 0.4× 5 0.2× 30 187
Hugo C. Temperley Ireland 9 126 0.7× 15 0.2× 50 1.3× 24 0.9× 14 0.5× 53 224
Yasuhiro Kuraishi Japan 10 152 0.9× 59 0.9× 90 2.4× 34 1.3× 8 0.3× 41 264
Teresa Soler Spain 7 89 0.5× 15 0.2× 44 1.2× 23 0.9× 39 1.5× 11 183
Aistė Gulla Lithuania 10 148 0.9× 30 0.4× 53 1.4× 6 0.2× 12 0.5× 36 224
Michele Bollino Sweden 7 71 0.4× 181 2.7× 48 1.3× 12 0.4× 7 0.3× 12 475

Countries citing papers authored by Luis Javier Pina

Since Specialization
Citations

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

Fields of papers citing papers by Luis Javier Pina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis Javier Pina. 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 Luis Javier Pina. The network helps show where Luis Javier Pina may publish in the future.

Co-authorship network of co-authors of Luis Javier Pina

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

All Works

7 of 7 papers shown
1.
Cerio, Ascensión López-Dı́az de, Luis Javier Pina, Susana Inogés, et al.. (2019). Assessing the impact of the addition of dendritic cell vaccination to neoadjuvant chemotherapy in breast cancer patients: A model‐based characterization approach. British Journal of Clinical Pharmacology. 85(8). 1670–1683. 8 indexed citations
2.
García‐Velloso, María José, Macarena Rodríguez‐Fraile, Alejandro Fernández‐Montero, et al.. (2016). MRI fused with prone FDG PET/CT improves the primary tumour staging of patients with breast cancer. European Radiology. 27(8). 3190–3198. 9 indexed citations
3.
Pina, Luis Javier, et al.. (2011). Ultrasound-guided core-needle biopsy of breast lesions. Insights into Imaging. 2(4). 493–500. 32 indexed citations
4.
Boni, Valentina, José Manuel López-Vega, Pablo Martínez, et al.. (2011). Bevacizumab changes in patients with naïve, stage II-III breast cancer assessed by 18F-fluoromisonidazole and 18F-fluorotymidine PET-CT.. Journal of Clinical Oncology. 29(15_suppl). 2529–2529. 1 indexed citations
5.
Alonso‐Burgos, Alberto, Emilio García-Tutor, Gorka Bastarrika, et al.. (2006). Preoperative planning of deep inferior epigastric artery perforator flap reconstruction with multislice-CT angiography: imaging findings and initial experience. Journal of Plastic Reconstructive & Aesthetic Surgery. 59(6). 585–593. 170 indexed citations
6.
Alonso‐Burgos, Alberto, et al.. (2006). Stereotactic-Guided Excisional Biopsy: A New Technique for Very Thin Breasts. The Breast Journal. 12(6). 566–568. 3 indexed citations
7.
Pina, Luis Javier, et al.. (2006). Phleboliths Detected on Mammography. The Breast Journal. 12(5). 467–469. 2 indexed citations

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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