Luis Seijó

10.0k total citations · 1 hit paper
94 papers, 2.8k citations indexed

About

Luis Seijó is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Luis Seijó has authored 94 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Pulmonary and Respiratory Medicine, 16 papers in Surgery and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Luis Seijó's work include Lung Cancer Diagnosis and Treatment (44 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (33 papers) and Tracheal and airway disorders (16 papers). Luis Seijó is often cited by papers focused on Lung Cancer Diagnosis and Treatment (44 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (33 papers) and Tracheal and airway disorders (16 papers). Luis Seijó collaborates with scholars based in Spain, United States and United Kingdom. Luis Seijó's co-authors include Javier J. Zulueta, Ana B. Alcaide, Gorka Bastarrika, Luis M. Montuenga, María D. Lozano, Arantza Campo, Juan P. de‐Torres, Daniel H. Sterman, Rubén Pı́o and Jesús C. Pueyo and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Luis Seijó

86 papers receiving 2.7k citations

Hit Papers

Biomarkers in Lung Cancer Screening: Achievements, Promis... 2018 2026 2020 2023 2018 100 200 300

Peers

Luis Seijó
Luis Seijó
Citations per year, relative to Luis Seijó Luis Seijó (= 1×) peers Kaid Darwiche

Countries citing papers authored by Luis Seijó

Since Specialization
Citations

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

Fields of papers citing papers by Luis Seijó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis Seijó

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Seijó. A scholar is included among the top collaborators of Luis Seijó 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 Seijó. Luis Seijó 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.
Casadevall, Carme, Ifat Abramovich, Esther Barreiro, et al.. (2025). Diagnostic Metabolomic Profiling of COPD as Potential Biomarkers in Older and Younger Patients. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A2503–A2503.
2.
Marı́n, José M., Joan B. Soriano, Marta Marín‐Oto, et al.. (2025). Sleep-Disordered Breathing in Patients with Chronic Obstructive Pulmonary Disease: Prevalence and Outcomes. Annals of the American Thoracic Society. 22(8). 1227–1235. 2 indexed citations
3.
Jiménez-Pastor, Ana, Glen J. Weiss, Luis Martí‐Bonmatí, et al.. (2025). Prediction of oncogene mutation status in non-small cell lung cancer: a systematic review and meta-analysis with a special focus on artificial intelligence-based methods. European Radiology. 36(3). 2157–2185.
4.
Vachani, Anil, Luis Seijó, Gorka Bastarrika, et al.. (2025). AI-assisted Lung Cancer Screening: Results From REALITY, A Pivotal Validation Study of an AI/ML-based Algorithm. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A5223–A5223. 1 indexed citations
5.
de‐Torres, Juan P., Ciro Casanova, Jorge Zagaceta, et al.. (2025). Cardiovascular Events in COPD. CHEST Journal. 169(3). 631–640.
6.
de‐Torres, Juan P., Ana B. Alcaide, Javier J. Zulueta, et al.. (2024). Lung Cancer Screening in People With COPD: The Pamplona-IELCAP Experience. Archivos de Bronconeumología. 60(2). 95–100.
7.
Casadevall, Carme, Rosa Faner, Sergi Pascual-Guàrdia, et al.. (2024). COPD: systemic proteomic profiles in frequent and infrequent exacerbators. ERJ Open Research. 10(2). 4–2024. 5 indexed citations
8.
Soriano, Joan B., Mercè Marzo‐Castillejo, Oliver Higuera, et al.. (2024). Cost-effectiveness of a machine learning risk prediction model (LungFlag) in the selection of high-risk individuals for non-small cell lung cancer screening in Spain. Journal of Medical Economics. 28(1). 147–156.
9.
Cubillos‐Zapata, Carolina, María F. Troncoso, Elena Díaz‐García, et al.. (2024). Sleep apnoea increases biomarkers of immune evasion, lymphangiogenesis and tumour cell aggressiveness in high-risk patients and those with established lung cancer. ERJ Open Research. 10(1). 777–2023. 3 indexed citations
10.
Llanos, Lucía, et al.. (2024). Cyclosporin A as an Add-On Therapy to a Corticosteroid-Based Background Treatment in Patients with COVID-19: A Multicenter, Randomized Clinical Trial. Journal of Clinical Medicine. 13(17). 5242–5242. 1 indexed citations
11.
Ezponda, Ana, María José García‐Velloso, María D. Lozano, et al.. (2023). Lung cancer screening using low-dose CT and FDG-PET in liver transplant recipients. Liver Transplantation. 29(10). 1100–1108. 1 indexed citations
12.
Pereira‐Vega, Antonio, Belén Callejón‐Leblic, José Luis Gómez‐Ariza, et al.. (2023). Untargeted Metabolomic Study of Lung Cancer Patients after Surgery with Curative Intent. Journal of Proteome Research. 22(11). 3499–3507.
13.
Alcaraz, Jordi, Josep L. Carrasco, Laura Millares, et al.. (2019). Stromal markers of activated tumor associated fibroblasts predict poor survival and are associated with necrosis in non-small cell lung cancer. Lung Cancer. 135. 151–160. 38 indexed citations
14.
Seijó, Luis, María Teresa Pérez Warnisher, Luis Fernando Giraldo‐Cadavid, et al.. (2019). Obstructive sleep apnea and nocturnal hypoxemia are associated with an increased risk of lung cancer. Sleep Medicine. 63. 41–45. 26 indexed citations
15.
Sánchez-Salcedo, Pablo, David O. Wilson, Juan P. de‐Torres, et al.. (2015). Improving Selection Criteria for Lung Cancer Screening. The Potential Role of Emphysema. American Journal of Respiratory and Critical Care Medicine. 191(8). 924–931. 67 indexed citations
16.
Rivera‐Ortega, Pilar, Ana B. Alcaide, Juan P. de‐Torres, et al.. (2014). Diagnostic yield and complications associated with electromagnetic navigation bronchoscopy in peripheral lung lesions. European Respiratory Journal. 44(Suppl 58). P686–P686. 1 indexed citations
17.
de‐Torres, Juan P., Ciro Casanova, José M. Marı́n, et al.. (2013). Exploring the impact of screening with low-dose CT on lung cancer mortality in mild to moderate COPD patients: A pilot study. Respiratory Medicine. 107(5). 702–707. 36 indexed citations
18.
Ninane, Vincent, Christian Geltner, Michela Bezzi, et al.. (2012). Multicentre European study for the treatment of advanced emphysema with bronchial valves. European Respiratory Journal. 39(6). 1319–1325. 90 indexed citations
19.
Pı́o, Rubén, Leticia Corrales, Daniel Ajona, et al.. (2010). Complement Factor H Is Elevated in Bronchoalveolar Lavage Fluid and Sputum from Patients with Lung Cancer. Cancer Epidemiology Biomarkers & Prevention. 19(10). 2665–2672. 27 indexed citations
20.
Bastarrika, Gorka, María José García‐Velloso, María D. Lozano, et al.. (2005). Early Lung Cancer Detection Using Spiral Computed Tomography and Positron Emission Tomography. American Journal of Respiratory and Critical Care Medicine. 171(12). 1378–1383. 120 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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