María J. Tuñón

8.8k total citations
101 papers, 4.3k citations indexed

About

María J. Tuñón is a scholar working on Epidemiology, Molecular Biology and Hepatology. According to data from OpenAlex, María J. Tuñón has authored 101 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Epidemiology, 28 papers in Molecular Biology and 20 papers in Hepatology. Recurrent topics in María J. Tuñón's work include Liver Disease Diagnosis and Treatment (24 papers), Drug-Induced Hepatotoxicity and Protection (15 papers) and Liver Disease and Transplantation (13 papers). María J. Tuñón is often cited by papers focused on Liver Disease Diagnosis and Treatment (24 papers), Drug-Induced Hepatotoxicity and Protection (15 papers) and Liver Disease and Transplantation (13 papers). María J. Tuñón collaborates with scholars based in Spain, Brazil and United States. María J. Tuñón's co-authors include Javier González‐Gallego, Sonia Sánchez‐Campos, María Victoria García‐Mediavilla, Irene Crespo, Norma Possa Marroni, Beatriz San‐Miguel, Pilar S. Collado, M. Álvarez, A. Esteller and José L. Mauriz and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Annals of Neurology.

In The Last Decade

María J. Tuñón

98 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María J. Tuñón Spain 35 1.2k 779 517 483 481 101 4.3k
Norma Possa Marroni Brazil 34 1.1k 0.9× 800 1.0× 502 1.0× 680 1.4× 253 0.5× 137 4.1k
María Victoria García‐Mediavilla Spain 28 1.6k 1.3× 1.3k 1.6× 274 0.5× 809 1.7× 437 0.9× 43 3.7k
Sun‐Mee Lee South Korea 44 2.1k 1.7× 962 1.2× 1.1k 2.1× 420 0.9× 247 0.5× 157 5.3k
Nam Deuk Kim South Korea 43 2.9k 2.4× 598 0.8× 404 0.8× 537 1.1× 480 1.0× 162 6.2k
Fermín Sánchez de Medina Spain 41 2.6k 2.1× 543 0.7× 389 0.8× 703 1.5× 428 0.9× 126 5.7k
Sonia Sánchez‐Campos Spain 40 1.9k 1.6× 1.5k 1.9× 383 0.7× 866 1.8× 496 1.0× 65 5.9k
Mehmet Kanter Türkiye 43 1.0k 0.9× 354 0.5× 779 1.5× 477 1.0× 413 0.9× 150 6.2k
Seyithan Tayşi Türkiye 37 1.0k 0.8× 375 0.5× 211 0.4× 679 1.4× 248 0.5× 166 4.5k
Sang Chan Kim South Korea 34 1.7k 1.4× 454 0.6× 889 1.7× 248 0.5× 153 0.3× 189 3.5k
Pablo Muriel Mexico 42 1.4k 1.2× 1.9k 2.4× 1.8k 3.5× 511 1.1× 271 0.6× 137 5.8k

Countries citing papers authored by María J. Tuñón

Since Specialization
Citations

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

Fields of papers citing papers by María J. Tuñón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María J. Tuñón. 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 María J. Tuñón. The network helps show where María J. Tuñón may publish in the future.

Co-authorship network of co-authors of María J. Tuñón

This figure shows the co-authorship network connecting the top 25 collaborators of María J. Tuñón. A scholar is included among the top collaborators of María J. Tuñón 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 María J. Tuñón. María J. Tuñón 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.
Fernández‐Palanca, Paula, Flavia Fondevila, Carolina Méndez‐Blanco, et al.. (2022). Neuropilin-1 as a Potential Biomarker of Prognosis and Invasive-Related Parameters in Liver and Colorectal Cancer: A Systematic Review and Meta-Analysis of Human Studies. Cancers. 14(14). 3455–3455. 9 indexed citations
2.
Fernández‐Palanca, Paula, Carolina Méndez‐Blanco, Flavia Fondevila, et al.. (2021). Melatonin as an Antitumor Agent against Liver Cancer: An Updated Systematic Review. Antioxidants. 10(1). 103–103. 38 indexed citations
3.
Fernández‐Palanca, Paula, Flavia Fondevila, Carolina Méndez‐Blanco, et al.. (2019). Antitumor Effects of Quercetin in Hepatocarcinoma In Vitro and In Vivo Models: A Systematic Review. Nutrients. 11(12). 2875–2875. 62 indexed citations
4.
Martínez-Valbuena, Iván, et al.. (2018). Interaction of amyloidogenic proteins in pancreatic β cells from subjects with synucleinopathies. Acta Neuropathologica. 135(6). 877–886. 57 indexed citations
5.
Booth, Laurence, Jane L. Roberts, Heath Ecroyd, et al.. (2016). AR‐12 Inhibits Multiple Chaperones Concomitant With Stimulating Autophagosome Formation Collectively Preventing Virus Replication. Journal of Cellular Physiology. 231(10). 2286–2302. 33 indexed citations
6.
Schemitt, Elizângela Gonçalves, et al.. (2016). Effect of glutamine on oxidative stress and inflammation in a rat model of fulminant hepatic failure. Nutrición Hospitalaria. 33(2). 210–219. 6 indexed citations
7.
Culebras, J. M., et al.. (2015). LOS DIEZ ARTICULOS MAS CITADOS EN NUTRICION HOSPITALARIA. Nutrición Hospitalaria. 1 indexed citations
8.
González‐Gallego, Javier, et al.. (2015). [THE TEN MOST CITED ARTICLES OF THE JOURNAL "NUTRICION HOSPITALARIA"].. PubMed. 32(6). 2360–8. 1 indexed citations
9.
San‐Miguel, Beatriz, Daniela Vallejo, Juliana Tieppo, et al.. (2012). Quercetin Treatment Ameliorates Inflammation and Fibrosis in Mice with Nonalcoholic Steatohepatitis3. Journal of Nutrition. 142(10). 1821–1828. 142 indexed citations
10.
Mundiñano, Iñaki-Carril, Cristina Ordóñez, María Hernández, et al.. (2011). Increased dopaminergic cells and protein aggregates in the olfactory bulb of patients with neurodegenerative disorders. Acta Neuropathologica. 122(1). 61–74. 137 indexed citations
11.
12.
San‐Miguel, Beatriz, Irene Crespo, Francisco Jorquera, et al.. (2009). Signaling pathways involved in liver injury and regeneration in rabbit hemorrhagic disease, an animal model of virally-induced fulminant hepatic failure. Veterinary Research. 41(1). 2–2. 34 indexed citations
13.
Sánchez‐Campos, Sonia, M. Álvarez, J. M. Culebras, Javier González‐Gallego, & María J. Tuñón. (2004). Pathogenic molecular mechanisms in an animal model of fulminant hepatic failure: Rabbit hemorrhagic viral disease. Journal of Laboratory and Clinical Medicine. 144(4). 215–222. 28 indexed citations
14.
15.
Tuñón, María J., Sonia Sánchez‐Campos, Cláudio Augusto Marroni, et al.. (2003). Effects of Quercetin on Liver Damage in Rats with Carbon Tetrachloride-Induced Cirrhosis. Digestive Diseases and Sciences. 48(4). 824–829. 115 indexed citations
16.
Tuñón, María J., et al.. (2003). Rabbit hemorrhagic viral disease: Characterization of a new animal model of fulminant liver failure. Journal of Laboratory and Clinical Medicine. 141(4). 272–278. 44 indexed citations
17.
Iglesias, A., et al.. (1990). Variabilidad genética y relaciones filogenéticas de trece razas bovinas autóctonas españolas. Archivos de Zootecnia. 39(144). 197–210. 6 indexed citations
18.
Vallejo, María Esperanza Camacho, et al.. (1990). Genetic variability and phylogenetic relationships in 13 indigenous Spanish cattle breeds. Archivos de Zootecnia. 39(144). 197–210. 1 indexed citations
19.
Tuñón, María J., et al.. (1989). Biliary excretion of organic anions in clotrimazole-treated rats. Biochemical Pharmacology. 38(16). 2739–2741. 3 indexed citations
20.
Tuñón, María J., P. González, & Mario Vallejo. (1987). Erythrocyte potassium polymorphism in 14 Spanish goat breeds. Animal Genetics. 18(4). 371–375. 3 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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