Marta de Miguel

596 total citations
9 papers, 320 citations indexed

About

Marta de Miguel is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Marta de Miguel has authored 9 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Epidemiology. Recurrent topics in Marta de Miguel's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Marta de Miguel is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Marta de Miguel collaborates with scholars based in Spain and United States. Marta de Miguel's co-authors include Luis C. Barrio, Juan M. Gómez‐Hernández, Daniel González‐Nieto, Consuelo de la Torre, Matilde H. Navarrete, Pilar Carrera, Kenneth H. Fischbeck, Jonathan D. Glass, Mark Mintz and Grace Liang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Hepatology and Annals of Neurology.

In The Last Decade

Marta de Miguel

7 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marta de Miguel Spain 6 208 56 56 47 39 9 320
Jay M. Sage United States 8 240 1.2× 29 0.5× 31 0.6× 33 0.7× 14 0.4× 11 359
Leonore Wigger Switzerland 10 189 0.9× 29 0.5× 33 0.6× 20 0.4× 40 1.0× 14 341
Pedro Ivonnet United States 11 157 0.8× 10 0.2× 54 1.0× 18 0.4× 42 1.1× 17 416
Roman Vozdek United States 8 101 0.5× 21 0.4× 23 0.4× 8 0.2× 42 1.1× 10 277
Rachael Kuintzle United States 5 158 0.8× 84 1.5× 21 0.4× 13 0.3× 57 1.5× 6 263
Francis Bergeron Canada 11 180 0.9× 23 0.4× 74 1.3× 7 0.1× 14 0.4× 18 344
Toshio Iwase Japan 6 67 0.3× 29 0.5× 16 0.3× 10 0.2× 63 1.6× 8 204
Н. А. Соколова Russia 7 161 0.8× 15 0.3× 23 0.4× 14 0.3× 27 0.7× 42 292
Yi-Jia Liu Sweden 9 151 0.7× 9 0.2× 27 0.5× 17 0.4× 14 0.4× 16 322
Aintzane Alday Spain 8 174 0.8× 20 0.4× 30 0.5× 25 0.5× 9 0.2× 12 343

Countries citing papers authored by Marta de Miguel

Since Specialization
Citations

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

Fields of papers citing papers by Marta de Miguel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marta de Miguel. 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 Marta de Miguel. The network helps show where Marta de Miguel may publish in the future.

Co-authorship network of co-authors of Marta de Miguel

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

All Works

9 of 9 papers shown
1.
Valencia, Eulalia, Marta Montero, José Sanz, et al.. (2024). Prospective study for the early detection of lung carcinoma in patients with HIV infection (GESIDA study 8815). Enfermedades infecciosas y microbiologia clinica (English ed ). 43(3). 125–132.
2.
Berenguer, Juan, Teresa Aldámiz‐Echevarría, Víctor Hontañón, et al.. (2024). Clinical outcomes and prognostic factors after HCV clearance with DAA in HIV/HCV-coinfected patients with advanced fibrosis/cirrhosis. Hepatology. 81(1). 238–253. 3 indexed citations
3.
Valencia, Eulalia, Marta Montero, José Sanz, et al.. (2024). Estudio prospectivo para la detección precoz de carcinoma pulmonar en pacientes con infección por VIH (estudio GESIDA 8815). Enfermedades Infecciosas y Microbiología Clínica. 43(3). 125–132.
4.
Pérez‐Latorre, Leire, Juan Berenguer, Rafael Micán, et al.. (2021). HIV/HBV coinfection: temporal trends and patient characteristics, Spain, 2002 to 2018. Eurosurveillance. 26(25). 6 indexed citations
6.
Liang, Grace, Marta de Miguel, Juan M. Gómez‐Hernández, et al.. (2005). Severe neuropathy with leaky connexin32 hemichannels. Annals of Neurology. 57(5). 749–754. 76 indexed citations
7.
Gómez‐Hernández, Juan M., et al.. (2003). Molecular basis of calcium regulation in connexin-32 hemichannels. Proceedings of the National Academy of Sciences. 100(26). 16030–16035. 144 indexed citations
8.
Carrera, Pilar, Marta de Miguel, José López, Consuelo de la Torre, & Matilde H. Navarrete. (1998). In vivo response of mouse liver to γ-radiation assessed by the comet assay. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 413(1). 23–31. 8 indexed citations
9.
Navarrete, Matilde H., Pilar Carrera, Marta de Miguel, & Consuelo de la Torre. (1997). A fast comet assay variant for solid tissue cells. The assessment of DNA damage in higher plants. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 389(2-3). 271–277. 72 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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