Emilio Alba

12.8k total citations
263 papers, 5.3k citations indexed

About

Emilio Alba is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Emilio Alba has authored 263 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 155 papers in Oncology, 94 papers in Cancer Research and 82 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Emilio Alba's work include Breast Cancer Treatment Studies (64 papers), Cancer Treatment and Pharmacology (63 papers) and HER2/EGFR in Cancer Research (54 papers). Emilio Alba is often cited by papers focused on Breast Cancer Treatment Studies (64 papers), Cancer Treatment and Pharmacology (63 papers) and HER2/EGFR in Cancer Research (54 papers). Emilio Alba collaborates with scholars based in Spain, United States and France. Emilio Alba's co-authors include Nuria Ribelles, José M. Jerez, Miguel Martín, Leonardo Franco, Alfonso Sánchez‐Muñoz, Bella Pajares, Aňa Lluch, Ignacio Molina, Pedro J. García-Laencina and Lourdes Calvo and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Emilio Alba

248 papers receiving 5.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emilio Alba Spain 41 2.6k 1.8k 1.3k 1.1k 509 263 5.3k
Elia Biganzoli Italy 37 1.6k 0.6× 1.1k 0.6× 1.2k 0.9× 771 0.7× 413 0.8× 240 6.8k
Esther Herpel Germany 42 3.2k 1.2× 1.5k 0.8× 2.4k 1.8× 1.2k 1.2× 682 1.3× 177 6.7k
Christos Markopoulos Greece 33 2.5k 0.9× 1.7k 0.9× 1.0k 0.8× 615 0.6× 569 1.1× 198 4.7k
Boris Freidlin United States 40 1.9k 0.7× 1.2k 0.7× 1.4k 1.1× 1.3k 1.3× 567 1.1× 120 6.4k
Elaine W. Kay Ireland 40 1.9k 0.7× 897 0.5× 2.3k 1.8× 873 0.8× 494 1.0× 218 5.2k
Fabien Reyal France 40 2.1k 0.8× 2.8k 1.6× 2.4k 1.9× 623 0.6× 928 1.8× 218 6.5k
Serge Koscielny France 42 1.8k 0.7× 1.3k 0.7× 1.8k 1.4× 930 0.9× 889 1.7× 135 5.7k
Jennifer A. Doherty United States 27 2.9k 1.1× 1.2k 0.7× 2.1k 1.6× 2.9k 2.7× 420 0.8× 109 6.0k
Jonine D. Figueroa United States 36 1.4k 0.5× 1.2k 0.6× 1.9k 1.5× 644 0.6× 300 0.6× 112 4.4k
Michalis V. Karamouzis Greece 36 2.9k 1.1× 1.5k 0.8× 3.0k 2.3× 1.6k 1.6× 411 0.8× 188 8.9k

Countries citing papers authored by Emilio Alba

Since Specialization
Citations

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

Fields of papers citing papers by Emilio Alba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emilio Alba

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

All Works

20 of 20 papers shown
1.
Comino‐Méndez, Iñaki, et al.. (2025). Luminal and Basal Subtypes Across Carcinomas: Molecular Programs Beyond Tissue of Origin. Cancers. 17(16). 2720–2720.
2.
Laborda-Illanes, Aurora, Lidia Sánchez‐Alcoholado, Bella Pajares, et al.. (2024). Exploring the Relationship between MicroRNAs, Intratumoral Microbiota, and Breast Cancer Progression in Patients with and without Metastasis. International Journal of Molecular Sciences. 25(13). 7091–7091. 5 indexed citations
3.
Moreno-Barea, Francisco J., et al.. (2024). Named entity recognition for de-identifying Spanish electronic health records. Computers in Biology and Medicine. 185. 109576–109576. 1 indexed citations
4.
Pernas, Sònia, Esther Sanfeliu, Guillermo Villacampa, et al.. (2024). Palbociclib and letrozole for hormone receptor-positive HER2-negative breast cancer with residual disease after neoadjuvant chemotherapy. npj Breast Cancer. 10(1). 101–101.
5.
Oliver, Javier, Arthur Eumann Mesas, Antonio Rueda‐Domínguez, et al.. (2023). Dynamic Exosome Analysis to Predict Response to the Combination of SABR and Immunotherapy in Oligoprogressive Disease. International Journal of Radiation Oncology*Biology*Physics. 117(2). e274–e275. 1 indexed citations
6.
Escriche-Escuder, Adrián, Manuel Trinidad‐Fernández, Bella Pajares, et al.. (2022). Responsiveness of the new index muscular echotexture in women with metastatic breast cancer: an exercise intervention study. Scientific Reports. 12(1). 15148–15148. 4 indexed citations
7.
Roldán‐Jiménez, Cristina, Bella Pajares, Manuel Trinidad‐Fernández, et al.. (2021). Design and implementation of a standard care programme of therapeutic exercise and education for breast cancer survivors. Supportive Care in Cancer. 30(2). 1243–1251. 4 indexed citations
8.
Roldán‐Jiménez, Cristina, et al.. (2021). Validity and reliability of the Spanish fear‐avoidance components scale in breast cancer survivors. European Journal of Cancer Care. 30(6). e13506–e13506. 7 indexed citations
9.
Contreras-Bolívar, Victoria, et al.. (2021). The economic cost of not coding disease-related malnutrition: A study in cancer inpatients. Clinical Nutrition. 41(1). 186–191. 6 indexed citations
10.
11.
Sánchez‐Muñoz, Alfonso, et al.. (2019). Targeted treatment approaches in refractory germ cell tumors. Critical Reviews in Oncology/Hematology. 143. 130–138. 19 indexed citations
12.
Pajares, Bella, et al.. (2018). Hereditary breast and ovarian cancer in Andalusian families: a genetic population study. BMC Cancer. 18(1). 647–647. 5 indexed citations
13.
14.
Prat, Aleix, Patricia Galván, Begoña Jiménez, et al.. (2015). Prediction of Response to Neoadjuvant Chemotherapy Using Core Needle Biopsy Samples with the Prosigna Assay. Clinical Cancer Research. 22(3). 560–566. 64 indexed citations
15.
Martín, Miguel, Jan C. Brase, Lourdes Calvo, et al.. (2014). Clinical validation of the EndoPredict test in node-positive, chemotherapy-treated ER+/HER2− breast cancer patients: results from the GEICAM 9906 trial. Breast Cancer Research. 16(2). R38–R38. 107 indexed citations
16.
Alba, Emilio, et al.. (2011). Cáncer de mama: proceso asistencial integrado 3ª ed. 4 indexed citations
17.
Puente, Javier, Sara López‐Tarruella, Amparo Ruı́z, et al.. (2010). Practical prognostic index for patients with metastatic recurrent breast cancer: retrospective analysis of 2,322 patients from the GEICAM Spanish El Alamo Register. Breast Cancer Research and Treatment. 122(2). 591–600. 36 indexed citations
18.
Quesada, Ana R., et al.. (2007). Prognostic value of serum angiogenic activity in colorectal cancer patients. Journal of Cellular and Molecular Medicine. 11(1). 120–128. 10 indexed citations
19.
Franco, Leonardo, José M. Jerez, & Emilio Alba. (2005). Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients.. The European Symposium on Artificial Neural Networks. 91–102. 4 indexed citations
20.
Gumà, Josep, et al.. (2004). Treatment of stage I and II Hodgkin's lymphoma with ABVD chemotherapy: results after 7 years of a prospective study. Annals of Oncology. 15(12). 1798–1804. 51 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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