Luis Mariñas‐Pardo

465 total citations
20 papers, 327 citations indexed

About

Luis Mariñas‐Pardo is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Luis Mariñas‐Pardo has authored 20 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Surgery. Recurrent topics in Luis Mariñas‐Pardo's work include Mesenchymal stem cell research (8 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Wound Healing and Treatments (2 papers). Luis Mariñas‐Pardo is often cited by papers focused on Mesenchymal stem cell research (8 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Wound Healing and Treatments (2 papers). Luis Mariñas‐Pardo collaborates with scholars based in Spain, Italy and Canada. Luis Mariñas‐Pardo's co-authors include Manuel Hermida‐Prieto, Laura Núñez‐Naveira, Javier Garcı́a-Castro, Francisco Javier Duque, M. Gualtieri, C. Zaragoza, Óscar Amor-Carro, David Ramos‐Barbón, Isabel Mirones and Carmen Montero-Martínez and has published in prestigious journals such as Environmental Health Perspectives, International Journal of Molecular Sciences and Stem Cells.

In The Last Decade

Luis Mariñas‐Pardo

20 papers receiving 320 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 Mariñas‐Pardo Spain 10 157 88 74 71 49 20 327
Katja Richter Germany 8 231 1.5× 135 1.5× 49 0.7× 72 1.0× 36 0.7× 14 410
Maddalena Caruso Italy 8 169 1.1× 166 1.9× 44 0.6× 100 1.4× 34 0.7× 13 419
Massimo Mogni Italy 7 197 1.3× 179 2.0× 32 0.4× 191 2.7× 31 0.6× 15 407
Martine Becker Belgium 5 282 1.8× 158 1.8× 40 0.5× 132 1.9× 20 0.4× 6 491
Meixing Yu China 10 96 0.6× 75 0.9× 33 0.4× 87 1.2× 42 0.9× 17 383
Katarzyna Stefańska Poland 11 116 0.7× 67 0.8× 25 0.3× 186 2.6× 23 0.5× 52 420
Murat Uğurlucan Germany 9 254 1.6× 201 2.3× 46 0.6× 227 3.2× 37 0.8× 11 531
Ming-Song Tsai Taiwan 10 163 1.0× 126 1.4× 29 0.4× 157 2.2× 46 0.9× 11 462
Milovanov Ap Russia 9 98 0.6× 124 1.4× 63 0.9× 119 1.7× 57 1.2× 68 606
Samatha Bhat India 12 78 0.5× 64 0.7× 29 0.4× 261 3.7× 21 0.4× 21 431

Countries citing papers authored by Luis Mariñas‐Pardo

Since Specialization
Citations

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

Fields of papers citing papers by Luis Mariñas‐Pardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis Mariñas‐Pardo

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Mariñas‐Pardo. A scholar is included among the top collaborators of Luis Mariñas‐Pardo 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 Mariñas‐Pardo. Luis Mariñas‐Pardo 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.
Mariñas‐Pardo, Luis, et al.. (2022). Rare Variants in Genes of the Cholesterol Pathway Are Present in 60% of Patients with Acute Myocardial Infarction. International Journal of Molecular Sciences. 23(24). 16127–16127. 2 indexed citations
2.
Hermida‐Prieto, Manuel, Javier Garcı́a-Castro, & Luis Mariñas‐Pardo. (2021). Systemic Treatment of Immune-Mediated Keratoconjunctivitis Sicca with Allogeneic Stem Cells Improves the Schirmer Tear Test Score in a Canine Spontaneous Model of Disease. Journal of Clinical Medicine. 10(24). 5981–5981. 7 indexed citations
3.
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Núñez‐Naveira, Laura, Luis Mariñas‐Pardo, & Carmen Montero-Martínez. (2019). Mass Spectrometry Analysis of the Exhaled Breath Condensate and Proposal of Dermcidin and S100A9 as Possible Markers for Lung Cancer Prognosis. Lung. 197(4). 523–531. 17 indexed citations
5.
Mariñas‐Pardo, Luis, Laura Núñez‐Naveira, & Manuel Hermida‐Prieto. (2019). Pre-clinical evaluation of the treatment with MSCs of fistular pathology in inflammatory bowel diseases. 4(2). 1 indexed citations
6.
Núñez‐Naveira, Laura, Carmen Montero-Martínez, & Luis Mariñas‐Pardo. (2019). Non-Small Cell Lung Cancer Prognosis Based In A Cut-Off Value For Plasma Basic Fibroblast Growth Factor Expression. 2(4). 1 indexed citations
7.
8.
Villatoro, Antonio J., Manuel Hermida‐Prieto, Viviana Fernández, et al.. (2018). Allogeneic adipose‐derived mesenchymal stem cell therapy in dogs with refractory atopic dermatitis: clinical efficacy and safety. Veterinary Record. 183(21). 654–654. 44 indexed citations
9.
Gutiérrez‐Chico, Juan Luis, Miłosz Jaguszewski, Miguel Comesaña‐Hermo, et al.. (2017). Macrophagic enhancement in optical coherence tomography imaging by means of superparamagnetic iron oxide nanoparticles. Cardiology Journal. 24(5). 459–466. 4 indexed citations
10.
Hermida‐Prieto, Manuel, et al.. (2016). Correlation between canine inflammatory bowel disease activity indices after stem cell therapy. Veterinary Record. 179(18). 464–464. 3 indexed citations
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Mariñas‐Pardo, Luis, Isabel Mirones, Óscar Amor-Carro, et al.. (2014). Mesenchymal stem cells regulate airway contractile tissue remodeling in murine experimental asthma. Allergy. 69(6). 730–740. 36 indexed citations
14.
Mirones, Isabel, Miguel Ángel Rodríguez-Milla, Luis Mariñas‐Pardo, et al.. (2014). Dopamine Mobilizes Mesenchymal Progenitor Cells Through D2-Class Receptors and Their PI3K/AKT Pathway. Stem Cells. 32(9). 2529–2538. 6 indexed citations
15.
Valdiglesias, Vanessa, Gözde Kılıç, Carla Costa, et al.. (2012). In Vivo Genotoxicity Assessment in Rats Exposed to Prestige-Like Oil by Inhalation. Journal of Toxicology and Environmental Health. 75(13-15). 756–764. 10 indexed citations
16.
Rodríguez-Milla, Miguel Ángel, Isabel Mirones, Luis Mariñas‐Pardo, et al.. (2012). Enrichment of neural-related genes in human mesenchymal stem cells from neuroblastoma patients. International Journal of Molecular Medicine. 30(2). 365–373. 3 indexed citations
17.
Núñez‐Naveira, Laura, Luis Mariñas‐Pardo, Óscar Amor-Carro, & Carmen Montero-Martínez. (2012). Determination of ELISA reproducibility to detect protein markers in exhaled breath condensate. Journal of Breath Research. 6(4). 46003–46003. 5 indexed citations
18.
Abarrategi, Ander, Luis Mariñas‐Pardo, Isabel Mirones, Esther Rincón, & Javier Garcı́a-Castro. (2011). Mesenchymal niches of bone marrow in cancer. Clinical & Translational Oncology. 13(9). 611–616. 12 indexed citations
19.
Varela, Miguel A., Ana M. González‐Tizón, Luis Mariñas‐Pardo, & Andrés Martı́nez-Lage. (2007). Genetic Divergence Detected by ISSR Markers and Characterization of Microsatellite Regions in Mytilus Mussels. Biochemical Genetics. 45(7-8). 565–578. 23 indexed citations
20.
Martı́nez-Lage, Andrés, Luis Mariñas‐Pardo, & Ana González. (2001). Bandas cromosómicas en moluscos bivalvos. Dialnet (Universidad de la Rioja). 49–76. 1 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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