M. Luisa Gil

3.4k total citations
80 papers, 2.8k citations indexed

About

M. Luisa Gil is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, M. Luisa Gil has authored 80 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Infectious Diseases, 33 papers in Immunology and 19 papers in Molecular Biology. Recurrent topics in M. Luisa Gil's work include Antifungal resistance and susceptibility (37 papers), Immune Response and Inflammation (20 papers) and Immune cells in cancer (15 papers). M. Luisa Gil is often cited by papers focused on Antifungal resistance and susceptibility (37 papers), Immune Response and Inflammation (20 papers) and Immune cells in cancer (15 papers). M. Luisa Gil collaborates with scholars based in Spain, United States and France. M. Luisa Gil's co-authors include Daniel Gozalbo, José‐Enrique O’Connor, Juan‐Pablo Martínez, Alberto Yáñez, Manuel Casanova, Eva Villamón, Celia Murciano, Patricia Roig, José L. López-Ribot and Javier Megías and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

M. Luisa Gil

78 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Luisa Gil Spain 32 1.1k 912 867 754 320 80 2.8k
Daniel Gozalbo Spain 29 1.3k 1.2× 817 0.9× 1.2k 1.4× 877 1.2× 385 1.2× 99 3.1k
Thierry Jouault France 33 1.8k 1.6× 946 1.0× 1.2k 1.4× 1.3k 1.7× 310 1.0× 73 3.3k
Cornelia Speth Austria 34 1.3k 1.2× 972 1.1× 542 0.6× 983 1.3× 242 0.8× 106 3.0k
Frank Ebel Germany 32 1.7k 1.5× 870 1.0× 1.2k 1.4× 814 1.1× 623 1.9× 81 4.3k
Andrzej Kozik Poland 28 904 0.8× 393 0.4× 764 0.9× 578 0.8× 181 0.6× 111 2.5k
Courtney Becker United States 13 683 0.6× 1.1k 1.3× 1.3k 1.5× 593 0.8× 219 0.7× 13 2.7k
Simon Y. C. Wong United Kingdom 25 696 0.6× 1.9k 2.1× 904 1.0× 790 1.0× 578 1.8× 38 3.6k
Seong Kug Eo South Korea 31 655 0.6× 1.1k 1.2× 838 1.0× 716 0.9× 198 0.6× 167 3.3k
Kevin M. Dennehy Germany 22 747 0.7× 1.6k 1.7× 615 0.7× 698 0.9× 335 1.0× 37 2.8k
Rebecca A. Drummond United Kingdom 26 1.2k 1.1× 915 1.0× 646 0.7× 1.0k 1.3× 125 0.4× 48 2.6k

Countries citing papers authored by M. Luisa Gil

Since Specialization
Citations

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

Fields of papers citing papers by M. Luisa Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Luisa Gil

This figure shows the co-authorship network connecting the top 25 collaborators of M. Luisa Gil. A scholar is included among the top collaborators of M. Luisa 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 M. Luisa Gil. M. Luisa 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
1.
Megías, Javier, Teresa San‐Miguel, Rosario Gil‐Benso, et al.. (2019). Pam3CSK4, a TLR2 ligand, induces differentiation of glioblastoma stem cells and confers susceptibility to temozolomide. Investigational New Drugs. 38(2). 299–310. 7 indexed citations
2.
Megías, Javier, et al.. (2018). Systemic Candidiasis and TLR2 Agonist Exposure Impact the Antifungal Response of Hematopoietic Stem and Progenitor Cells. Frontiers in Cellular and Infection Microbiology. 8. 309–309. 18 indexed citations
3.
Villamón, Eva, et al.. (2018). Imiquimod inhibits growth and induces differentiation of myeloid leukemia cell lines. Cancer Cell International. 18(1). 15–15. 20 indexed citations
4.
Megías, Javier, et al.. (2017). PRR signaling during in vitro macrophage differentiation from progenitors modulates their subsequent response to inflammatory stimuli. European Cytokine Network. 28(3). 102–110. 8 indexed citations
5.
Maneu, Victoria, Agustina Noailles, Violeta Gómez‐Vicente, et al.. (2016). Immunosuppression, peripheral inflammation and invasive infection from endogenous gut microbiota activate retinal microglia in mouse models. Microbiology and Immunology. 60(9). 617–625. 10 indexed citations
6.
Megías, Javier, et al.. (2016). TLR2, TLR4 and Dectin-1 signalling in hematopoietic stem and progenitor cells determines the antifungal phenotype of the macrophages they produce. Microbes and Infection. 18(5). 354–363. 26 indexed citations
7.
8.
Yáñez, Alberto, Javier Megías, José‐Enrique O’Connor, Daniel Gozalbo, & M. Luisa Gil. (2011). Candida albicans Induces Selective Development of Macrophages and Monocyte Derived Dendritic Cells by a TLR2 Dependent Signalling. PLoS ONE. 6(9). e24761–e24761. 52 indexed citations
9.
Yáñez, Alberto, Celia Murciano, José‐Enrique O’Connor, Daniel Gozalbo, & M. Luisa Gil. (2009). Candida albicans triggers proliferation and differentiation of hematopoietic stem and progenitor cells by a MyD88-dependent signaling. Microbes and Infection. 11(4). 531–535. 54 indexed citations
10.
Gil, M. Luisa. (2009). Role of Toll-like receptors in systemic Candida albicans infections. Frontiers in bioscience. Volume(14). 570–570. 71 indexed citations
11.
Murciano, Celia, Alberto Yáñez, José‐Enrique O’Connor, Daniel Gozalbo, & M. Luisa Gil. (2008). Influence of aging on murine neutrophil and macrophage function againstCandida albicans. FEMS Immunology & Medical Microbiology. 53(2). 214–221. 47 indexed citations
12.
Murciano, Celia, Eva Villamón, Daniel Gozalbo, et al.. (2006). Toll-like receptor 4 defective mice carrying point or null mutations do not show increased susceptibility toCandida albicansin a model of hematogenously disseminated infection. Medical Mycology. 44(2). 149–157. 38 indexed citations
13.
Villamón, Eva, Daniel Gozalbo, Patricia Roig, et al.. (2003). Toll-like receptor-2 is essential in murine defenses against Candida albicans infections. Microbes and Infection. 6(1). 1–7. 165 indexed citations
14.
15.
Gil, M. Luisa, et al.. (1999). Clinical strains ofCandida albicansexpress the surface antigen glyceraldehyde 3-phosphate dehydrogenase in vitro and in infected tissues. FEMS Immunology & Medical Microbiology. 23(3). 229–234. 28 indexed citations
16.
17.
Gil, M. Luisa, et al.. (1995). Immunochemical detection of protein adducts in cultured human hepatocytes exposed to diclofenac. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1272(3). 140–146. 31 indexed citations
18.
Quillet‐Mary, Anne, Laurent Cavarec, Nathalie Kermarrec, et al.. (1991). Target lysis by human lak cells is critically dependent upon target binding properties, but LFA‐1, LFA‐3 AND ICAM‐1 are not the major adhesion ligands on targets. International Journal of Cancer. 47(3). 473–479. 36 indexed citations
19.
Gil, M. Luisa, Manuel Casanova, Juan‐Pablo Martínez, & Rafael Sentandreu. (1991). Antigenic cell wall mannoproteins in Candida albicans isolates and in other Candida species. Journal of General Microbiology. 137(5). 1053–1061. 28 indexed citations
20.
Gil, M. Luisa, et al.. (1989). Comparative study of different essential oils of Bupleurum gibraltaricum Lamarck.. PubMed. 44(4). 284–7. 35 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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