Diego Navarro

733 total citations
11 papers, 454 citations indexed

About

Diego Navarro is a scholar working on Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Diego Navarro has authored 11 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Diego Navarro's work include Epigenetics and DNA Methylation (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Streptococcal Infections and Treatments (2 papers). Diego Navarro is often cited by papers focused on Epigenetics and DNA Methylation (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Streptococcal Infections and Treatments (2 papers). Diego Navarro collaborates with scholars based in Spain, Germany and Austria. Diego Navarro's co-authors include José Manuel González‐Sancho, Patrick Hermann, Sonia Alcalá, Laura Ruíz-Cañas, Bruno Sáinz, Mario F. Fraga, Cristina Peña, Sandra Valle, Manel Esteller and Laura Martín-Hijano and has published in prestigious journals such as Nature Communications, Cancer Research and Carcinogenesis.

In The Last Decade

Diego Navarro

11 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego Navarro Spain 7 256 117 97 86 73 11 454
Mattheus C.B. Wielenga Netherlands 9 296 1.2× 180 1.5× 73 0.8× 72 0.8× 110 1.5× 18 615
Marilyn Gordon Canada 13 265 1.0× 158 1.4× 47 0.5× 57 0.7× 41 0.6× 17 564
Chandra S. Boosani United States 15 288 1.1× 53 0.5× 159 1.6× 67 0.8× 38 0.5× 29 563
Dangxiao Cheng Canada 13 318 1.2× 195 1.7× 105 1.1× 75 0.9× 36 0.5× 38 589
Wendy W. Barclay United States 6 147 0.6× 88 0.8× 55 0.6× 71 0.8× 82 1.1× 6 346
Izabela Łaczmańska Poland 13 380 1.5× 108 0.9× 168 1.7× 126 1.5× 34 0.5× 64 589
Hiroyuki Furumoto Japan 15 258 1.0× 181 1.5× 62 0.6× 73 0.8× 112 1.5× 42 752
Silke Lüschen Germany 10 249 1.0× 172 1.5× 91 0.9× 137 1.6× 26 0.4× 12 892
Sarah Williams United Kingdom 10 210 0.8× 90 0.8× 45 0.5× 36 0.4× 31 0.4× 20 445
Nikè V.J.A. Büller Netherlands 10 320 1.3× 143 1.2× 40 0.4× 61 0.7× 24 0.3× 12 533

Countries citing papers authored by Diego Navarro

Since Specialization
Citations

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

Fields of papers citing papers by Diego Navarro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Navarro

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

All Works

11 of 11 papers shown
1.
Ruíz-Cañas, Laura, Sofia M. Saraiva, Diego Navarro, et al.. (2024). Reprogramming tumor-associated macrophages with lipid nanosystems reduces PDAC tumor burden and liver metastasis. Journal of Nanobiotechnology. 22(1). 795–795. 5 indexed citations
2.
Sáinz, Bruno, Sonia Alcalá, Lara Villarino, et al.. (2024). Abstract C079: Targeting cancer stem cell OXPHOS with tailored ruthenium complexes as a new approach to treat pancreatic cancer. Cancer Research. 84(2_Supplement). C079–C079. 1 indexed citations
3.
4.
Valle, Sandra, Sonia Alcalá, Laura Martín-Hijano, et al.. (2020). Exploiting oxidative phosphorylation to promote the stem and immunoevasive properties of pancreatic cancer stem cells. Nature Communications. 11(1). 5265–5265. 91 indexed citations
5.
Alcalá, Sonia, Patricia Sancho, Paola Martinelli, et al.. (2020). ISG15 and ISGylation is required for pancreatic cancer stem cell mitophagy and metabolic plasticity. Nature Communications. 11(1). 2682–2682. 91 indexed citations
6.
Martínez, Isidoro, et al.. (2016). Induction of DNA double-strand breaks and cellular senescence by human respiratory syncytial virus. Virulence. 7(4). 427–442. 49 indexed citations
7.
Herrera, Carolina, et al.. (2014). Etiología y perfil de resistencia antimicrobiana en infección del tracto urinario en niños, Valdivia 2012. Revista chilena de infectología. 31(6). 757–758. 2 indexed citations
8.
Navarro, Diego, Noelia Agrá, Ángel Pestaña, Javier Alonso, & José Manuel González‐Sancho. (2009). The EWS/FLI1 oncogenic protein inhibits expression of the Wnt inhibitor DICKKOPF-1 gene and antagonizes β-catenin/TCF-mediated transcription. Carcinogenesis. 31(3). 394–401. 35 indexed citations
9.
Aguilera, Óscar, Cristina Peña, José M. Garcia, et al.. (2007). The Wnt antagonist DICKKOPF-1 gene is induced by 1 ,25-dihydroxyvitamin D3 associated to the differentiation of human colon cancer cells. Carcinogenesis. 28(9). 1877–1884. 144 indexed citations
10.
Díez‐Manglano, Jesús, et al.. (1999). [Sensitivity of group A beta-hemolytic Streptococcus isolated from pediatric pharyngotonsillitis to erythromycin and clarithromycin: a primary care multicenter study].. PubMed. 17(1). 24–8. 1 indexed citations
11.

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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