Concha Gil

6.1k total citations
148 papers, 4.8k citations indexed

About

Concha Gil is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Concha Gil has authored 148 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Infectious Diseases, 77 papers in Molecular Biology and 45 papers in Epidemiology. Recurrent topics in Concha Gil's work include Antifungal resistance and susceptibility (82 papers), Fungal Infections and Studies (37 papers) and Fungal and yeast genetics research (31 papers). Concha Gil is often cited by papers focused on Antifungal resistance and susceptibility (82 papers), Fungal Infections and Studies (37 papers) and Fungal and yeast genetics research (31 papers). Concha Gil collaborates with scholars based in Spain, United States and Portugal. Concha Gil's co-authors include César Nombela, Aída Pitarch, Lucía Monteoliva, Miguel Sánchez, Gloria Molero, Jesús Plá, Rosalía Diez‐Orejas, María Luisa Hernáez, W. LaJean Chaffin and Jose Antonio Reales‐Calderón and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Applied and Environmental Microbiology.

In The Last Decade

Concha Gil

143 papers receiving 4.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Concha Gil 2.4k 2.4k 1.6k 700 662 148 4.8k
Ilse D. Jacobsen 1.7k 0.7× 2.6k 1.1× 1.7k 1.1× 820 1.2× 451 0.7× 122 5.3k
Carol A. Kumamoto 4.2k 1.7× 2.8k 1.2× 1.7k 1.1× 495 0.7× 825 1.2× 110 6.9k
Piet W. J. de Groot 2.2k 0.9× 2.3k 0.9× 1.5k 0.9× 1.4k 2.0× 635 1.0× 74 4.6k
Joachim F. Ernst 2.6k 1.0× 2.7k 1.1× 1.8k 1.1× 761 1.1× 505 0.8× 86 4.5k
Haoping Liu 2.8k 1.1× 2.8k 1.1× 1.9k 1.2× 803 1.1× 632 1.0× 56 4.5k
Peter E. Sudbery 2.9k 1.2× 2.4k 1.0× 1.5k 0.9× 733 1.0× 703 1.1× 59 4.8k
Julia R. Köhler 2.2k 0.9× 3.3k 1.4× 2.3k 1.4× 571 0.8× 606 0.9× 63 5.3k
Ken Haynes 1.7k 0.7× 3.3k 1.4× 2.3k 1.5× 1.2k 1.7× 469 0.7× 71 5.5k
Steven Park 1.5k 0.6× 3.5k 1.4× 2.6k 1.6× 672 1.0× 253 0.4× 82 5.3k
Donna M. MacCallum 2.2k 0.9× 4.7k 1.9× 3.4k 2.1× 979 1.4× 674 1.0× 93 6.3k

Countries citing papers authored by Concha Gil

Since Specialization
Citations

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

Fields of papers citing papers by Concha Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Concha Gil

This figure shows the co-authorship network connecting the top 25 collaborators of Concha Gil. A scholar is included among the top collaborators of Concha Gil 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 Concha Gil. Concha Gil 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
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Gil, Concha, et al.. (2025). Deciphering the oxidative stress response in Candida albicans. Fungal Biology Reviews. 52. 100427–100427. 2 indexed citations
3.
Pitarch, Aída, et al.. (2025). Omics and Multiomics-Based Diagnostics for Invasive Candidiasis: Toward Precision Medicine. Molecular & Cellular Proteomics. 24(12). 101463–101463.
4.
Martínez‐López, Raquel, Gloria Molero, Claudia Marcela Parra‐Giraldo, et al.. (2024). From High Protection to Lethal Effect: Diverse Outcomes of Immunization Against Invasive Candidiasis with Different Candida albicans Extracellular Vesicles. International Journal of Molecular Sciences. 26(1). 244–244.
5.
Monteoliva, Lucía, Rocío García‐Rodas, Andrés Ceballos-Garzón, et al.. (2022). The Combination of Iron and Copper Increases Pathogenicity and Induces Proteins Related to the Main Virulence Factors in Clinical Isolates of Cryptococcus neoformans var. grubii. Journal of Fungi. 8(1). 57–57. 4 indexed citations
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Pinto, Luís, Cármen Torres, Concha Gil, et al.. (2019). Multiomics Assessment of Gene Expression in a Clinical Strain of CTX-M-15-Producing ST131 Escherichia coli. Frontiers in Microbiology. 10. 831–831. 5 indexed citations
9.
Pitarch, Aída, César Nombela, & Concha Gil. (2018). Diagnosis of Invasive Candidiasis: From Gold Standard Methods to Promising Leading-edge Technologies. Current Topics in Medicinal Chemistry. 18(16). 1375–1392. 29 indexed citations
10.
Ruíz‐Romero, Cristina, V. Calamia, Juan Pablo Albar, et al.. (2015). The Spanish biology/disease initiative within the human proteome project: Application to rheumatic diseases. Journal of Proteomics. 127(Pt B). 406–413. 3 indexed citations
11.
Reales‐Calderón, Jose Antonio, Fernando Corona, Lucía Monteoliva, Concha Gil, & José Luis Martínez. (2015). Quantitative proteomics unravels that the post-transcriptional regulator Crc modulates the generation of vesicles and secreted virulence determinants of Pseudomonas aeruginosa. Journal of Proteomics. 127(Pt B). 352–364. 24 indexed citations
12.
Reales‐Calderón, Jose Antonio, Marc Sylvester, Karin Strijbis, et al.. (2013). Candida albicans induces pro-inflammatory and anti-apoptotic signals in macrophages as revealed by quantitative proteomics and phosphoproteomics. Journal of Proteomics. 91. 106–135. 37 indexed citations
13.
Pitarch, Aída, et al.. (2010). La inmunoproteómica en el descubrimiento de biomarcadores de tercera generación. El ejemplo de las candidiasis invasivas. 2 indexed citations
14.
Abenza, Juan F., Antonio Galindo, Areti Pantazopoulou, et al.. (2010). AspergillusRabBRab5Integrates Acquisition of Degradative Identity with the Long Distance Movement of Early Endosomes. Molecular Biology of the Cell. 21(15). 2756–2769. 73 indexed citations
15.
Martínez‐López, Raquel, César Nombela, Rosalía Diez‐Orejas, Lucía Monteoliva, & Concha Gil. (2008). Immunoproteomic analysis of the protective response obtained from vaccination with Candida albicans ecm33 cell wall mutant in mice. PROTEOMICS. 8(13). 2651–2664. 37 indexed citations
16.
Fernández‐Arenas, Elena, Clara Bermejo, Javier Arroyo, et al.. (2006). Integrated Proteomics and Genomics Strategies Bring New Insight into Candida albicans Response upon Macrophage Interaction. Molecular & Cellular Proteomics. 6(3). 460–478. 111 indexed citations
17.
Chagoyen, Mónica, Pedro Carmona‐Sáez, Concha Gil, J.M. Carazo, & Alberto Pascual-Montano. (2006). A literature-based similarity metric for biological processes. BMC Bioinformatics. 7(1). 363–363. 7 indexed citations
18.
James, Peter, Garry L. Corthals, & Concha Gil. (2006). Report. Proteomics Education, an Important Challenge for the Scientific Community: Report on the Activities of the EuPA Education Committee. PROTEOMICS. 6(S2). 77–81. 3 indexed citations
19.
Molero, Gloria, Laura Martínez‐Solano, Concha Gil, et al.. (2005). The Importance of the Phagocytes' Innate Response in Resolution of the Infection Induced by a Low Virulent Candida albicans Mutant. Scandinavian Journal of Immunology. 62(3). 224–233. 17 indexed citations
20.
Molero, Gloria, et al.. (1999). Low virulence of a morphologicalCandida albicansmutant. FEMS Microbiology Letters. 176(2). 311–319. 19 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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