Fernando Bonet

429 total citations
19 papers, 296 citations indexed

About

Fernando Bonet is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Fernando Bonet has authored 19 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Fernando Bonet's work include Congenital heart defects research (8 papers), MicroRNA in disease regulation (8 papers) and RNA modifications and cancer (3 papers). Fernando Bonet is often cited by papers focused on Congenital heart defects research (8 papers), MicroRNA in disease regulation (8 papers) and RNA modifications and cancer (3 papers). Fernando Bonet collaborates with scholars based in Spain, Portugal and Netherlands. Fernando Bonet's co-authors include Diego Franco, Amelia Aránega, Leire Moya, A. Millà, Lluís Cirera, James C. Torner, Carmen López‐Sánchez, Virginio García‐Martínez, Óscar Campuzano and José António Belo and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Developmental Biology.

In The Last Decade

Fernando Bonet

17 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Bonet Spain 8 129 113 94 72 65 19 296
Ulisses Ribaldo Nicolau Brazil 9 57 0.4× 56 0.5× 40 0.4× 111 1.5× 50 0.8× 28 243
Zeming Mo China 7 78 0.6× 143 1.3× 85 0.9× 113 1.6× 26 0.4× 11 369
Songran Liu China 9 106 0.8× 65 0.6× 78 0.8× 91 1.3× 74 1.1× 28 328
Yue-Feng Wen China 7 109 0.8× 262 2.3× 164 1.7× 100 1.4× 54 0.8× 9 396
Haolin Yan China 10 66 0.5× 173 1.5× 109 1.2× 118 1.6× 63 1.0× 21 302
Valentina Vanoni Italy 12 23 0.2× 73 0.6× 102 1.1× 97 1.3× 104 1.6× 21 332
Mo‐Fa Gu China 11 57 0.4× 181 1.6× 134 1.4× 105 1.5× 51 0.8× 16 339
Jugao Fang China 11 111 0.9× 74 0.7× 100 1.1× 53 0.7× 85 1.3× 41 312
Kei Miyoshi Japan 10 57 0.4× 20 0.2× 95 1.0× 259 3.6× 24 0.4× 13 401

Countries citing papers authored by Fernando Bonet

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Bonet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Bonet

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

All Works

19 of 19 papers shown
1.
Mangas, Alipio, Fernando Bonet, Óscar Campuzano, et al.. (2024). The Protective Role of miR-130b-3p Against Palmitate-Induced Lipotoxicity in Cardiomyocytes Through PPARγ Pathway. International Journal of Molecular Sciences. 25(22). 12161–12161. 3 indexed citations
2.
Perkins, James R., Mireia Moreno‐Estellés, Fernando Bonet, et al.. (2024). Exploring miRNA–target gene pair detection in disease with coRmiT. Briefings in Bioinformatics. 25(2). 1 indexed citations
3.
Bonet, Fernando, Óscar Campuzano, Mireia Alcalde, et al.. (2024). Role of miRNA–mRNA Interactome in Pathophysiology of Arrhythmogenic Cardiomyopathy. Biomedicines. 12(8). 1807–1807.
4.
Bonet, Fernando, Francisco Hernández‐Torres, Mónica Ramos, et al.. (2024). Unraveling the Etiology of Dilated Cardiomyopathy through Differential miRNA–mRNA Interactome. Biomolecules. 14(5). 524–524. 2 indexed citations
5.
Bonet, Fernando, Juan A. G. Ranea, Francisco Hernández‐Torres, et al.. (2023). Transcriptome analysis of miRNA and mRNA in the myocardial tissue of mice with LMNA-dilated cardiomyopathy. Atherosclerosis. 379. S179–S180.
6.
Alcalde, Mireia, Rocío Toro, Fernando Bonet, et al.. (2023). Role of microRNAs in arrhythmogenic cardiomyopathy: translation as biomarkers into clinical practice. Translational research. 259. 72–82. 4 indexed citations
7.
Bonet, Fernando, et al.. (2022). CCBE1 in Cardiac Development and Disease. Frontiers in Genetics. 13. 836694–836694. 4 indexed citations
8.
Toro, Rocío, Alexandra Pérez‐Serra, Alipio Mangas, et al.. (2022). miR-16-5p Suppression Protects Human Cardiomyocytes against Endoplasmic Reticulum and Oxidative Stress-Induced Injury. International Journal of Molecular Sciences. 23(3). 1036–1036. 29 indexed citations
9.
Bonet, Fernando, Francisco Hernández‐Torres, Óscar Campuzano, et al.. (2022). The Role of MicroRNAs in Dilated Cardiomyopathy: New Insights for an Old Entity. International Journal of Molecular Sciences. 23(21). 13573–13573. 11 indexed citations
10.
Mangas, Alipio, Fernando Bonet, Ovidio Muñiz-Grijalvo, et al.. (2022). A microRNA Signature for the Diagnosis of Statins Intolerance. International Journal of Molecular Sciences. 23(15). 8146–8146. 2 indexed citations
11.
Bonet, Fernando, et al.. (2022). CCBE1 Is Essential for Epicardial Function during Myocardium Development. International Journal of Molecular Sciences. 23(20). 12642–12642. 6 indexed citations
12.
Bonet, Fernando, et al.. (2018). CCBE1 is required for coronary vessel development and proper coronary artery stem formation in the mouse heart. Developmental Dynamics. 247(10). 1135–1145. 19 indexed citations
13.
Franco, Diego, Fernando Bonet, Francisco Hernández‐Torres, et al.. (2015). Analysis of microRNA Microarrays in Cardiogenesis. Methods in molecular biology. 1375. 207–221. 7 indexed citations
14.
López‐Sánchez, Carmen, et al.. (2015). Reciprocal repression between Fgf8 and miR-133 regulates cardiac induction through Bmp2 signaling. Data in Brief. 5. 59–64. 11 indexed citations
15.
López‐Sánchez, Carmen, et al.. (2015). Negative Fgf8-Bmp2 feed-back is regulated by miR-130 during early cardiac specification. Developmental Biology. 406(1). 63–73. 29 indexed citations
16.
Bonet, Fernando, et al.. (2015). MiR‐23b and miR‐199a impair epithelial‐to‐mesenchymal transition during atrioventricular endocardial cushion formation. Developmental Dynamics. 244(10). 1259–1275. 27 indexed citations
17.
Bonet, Fernando, Francisco Hernández‐Torres, Francisco J. Esteban, Amelia Aránega, & Diego Franco. (2013). Comparative Analyses of MicroRNA Microarrays during Cardiogenesis: Functional Perspectives. SHILAP Revista de lepidopterología. 2(2). 81–96. 7 indexed citations
18.
Millà, A., et al.. (1990). Single fraction per day versus two fractions per day versus radiochemotherapy in the treatment of head and neck cancer. International Journal of Radiation Oncology*Biology*Physics. 19(6). 1347–1350. 131 indexed citations
19.
Bonet, Fernando, et al.. (1986). Visceral leishmaniasis in a renal transplant patient: a diagnostic and therapeutic challenge.. PubMed. 135–135. 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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