Eduardo T. Cánepa

1.7k total citations
58 papers, 1.4k citations indexed

About

Eduardo T. Cánepa is a scholar working on Molecular Biology, Oncology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Eduardo T. Cánepa has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 20 papers in Oncology and 19 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Eduardo T. Cánepa's work include Porphyrin Metabolism and Disorders (15 papers), Cancer-related Molecular Pathways (15 papers) and DNA Repair Mechanisms (12 papers). Eduardo T. Cánepa is often cited by papers focused on Porphyrin Metabolism and Disorders (15 papers), Cancer-related Molecular Pathways (15 papers) and DNA Repair Mechanisms (12 papers). Eduardo T. Cánepa collaborates with scholars based in Argentina, France and Germany. Eduardo T. Cánepa's co-authors include Julieta M. Ceruti, María Élida Scassa, Cecilia Varone, Mariela C. Marazita, Luciana E. Giono, María F. Ogara, Abel L. Carcagno, Juan Iovanna, Laura M. Belluscio and Bruno G. Berardino and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Eduardo T. Cánepa

58 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eduardo T. Cánepa Argentina 22 824 382 176 173 129 58 1.4k
Tiina Jääskeläinen Finland 23 846 1.0× 263 0.7× 69 0.4× 204 1.2× 166 1.3× 68 1.7k
Maria Grazia Cattaneo Italy 26 827 1.0× 261 0.7× 111 0.6× 52 0.3× 162 1.3× 72 1.9k
Daniela Tavian Italy 25 754 0.9× 173 0.5× 171 1.0× 68 0.4× 218 1.7× 72 1.7k
Karen E. Sheppard Australia 27 1.5k 1.8× 693 1.8× 143 0.8× 74 0.4× 262 2.0× 68 2.7k
B. K. Lucas France 9 822 1.0× 464 1.2× 90 0.5× 82 0.5× 116 0.9× 10 1.7k
Kimihiko Hattori Japan 15 951 1.2× 421 1.1× 146 0.8× 51 0.3× 182 1.4× 21 1.7k
Alexandra E. Folias United States 14 1.1k 1.3× 412 1.1× 110 0.6× 56 0.3× 227 1.8× 17 1.8k
Andrew D. Darnel Japan 26 568 0.7× 282 0.7× 91 0.5× 82 0.5× 221 1.7× 33 1.8k
Stephen W. Spaulding United States 25 980 1.2× 158 0.4× 138 0.8× 90 0.5× 135 1.0× 92 2.3k
Arun Kumar India 26 1.1k 1.3× 219 0.6× 254 1.4× 80 0.5× 292 2.3× 89 2.0k

Countries citing papers authored by Eduardo T. Cánepa

Since Specialization
Citations

This map shows the geographic impact of Eduardo T. Cánepa'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 Eduardo T. Cánepa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduardo T. Cánepa more than expected).

Fields of papers citing papers by Eduardo T. Cánepa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eduardo T. Cánepa. 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 Eduardo T. Cánepa. The network helps show where Eduardo T. Cánepa may publish in the future.

Co-authorship network of co-authors of Eduardo T. Cánepa

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo T. Cánepa. A scholar is included among the top collaborators of Eduardo T. Cánepa 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 Eduardo T. Cánepa. Eduardo T. Cánepa 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
3.
Berardino, Bruno G., et al.. (2021). Impaired social cognition caused by perinatal protein malnutrition evokes neurodevelopmental disorder symptoms and is intergenerationally transmitted. Experimental Neurology. 347. 113911–113911. 9 indexed citations
5.
Belluscio, Laura M., et al.. (2018). Intergenerational transmission of maternal care deficiency and offspring development delay induced by perinatal protein malnutrition. Nutritional Neuroscience. 23(5). 387–397. 14 indexed citations
6.
Pregi, Nicolás, Laura M. Belluscio, Bruno G. Berardino, D. Castillo, & Eduardo T. Cánepa. (2016). Oxidative stress-induced CREB upregulation promotes DNA damage repair prior to neuronal cell death protection. Molecular and Cellular Biochemistry. 425(1-2). 9–24. 39 indexed citations
7.
Belluscio, Laura M., et al.. (2014). Early protein malnutrition negatively impacts physical growth and neurological reflexes and evokes anxiety and depressive-like behaviors. Physiology & Behavior. 129. 237–254. 81 indexed citations
8.
Ogara, María F., Laura M. Belluscio, Verónica de la Fuente, et al.. (2014). CDK5-mediated phosphorylation of p19INK4d avoids DNA damage-induced neurodegeneration in mouse hippocampus and prevents loss of cognitive functions. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1843(7). 1309–1324. 18 indexed citations
9.
Marazita, Mariela C., María F. Ogara, Marcelo A. Martí, et al.. (2012). CDK2 and PKA Mediated-Sequential Phosphorylation Is Critical for p19INK4d Function in the DNA Damage Response. PLoS ONE. 7(4). e35638–e35638. 17 indexed citations
10.
Scassa, María Élida, Mariela C. Marazita, Julieta M. Ceruti, et al.. (2007). Cell cycle inhibitor, p19INK4d, promotes cell survival and decreases chromosomal aberrations after genotoxic insult due to enhanced DNA repair. DNA repair. 6(5). 626–638. 23 indexed citations
11.
Valacco, Pía, Cecilia Varone, Cédric Malicet, et al.. (2005). Cell growth‐dependent subcellular localization of p8. Journal of Cellular Biochemistry. 97(5). 1066–1079. 29 indexed citations
12.
Ceruti, Julieta M., María Élida Scassa, Juan Fló, Cecilia Varone, & Eduardo T. Cánepa. (2005). Induction of p19INK4d in response to ultraviolet light improves DNA repair and confers resistance to apoptosis in neuroblastoma cells. Oncogene. 24(25). 4065–4080. 44 indexed citations
13.
García‐Montero, Andrés C., Sophie Vasseur, Luciana E. Giono, et al.. (2001). Transforming growth factor β-1 enhances Smad transcriptional activity through activation of p8 gene expression. Biochemical Journal. 357(1). 249–249. 50 indexed citations
14.
Encinar, José Antonio, Gustavo V. Mallo, Luciana E. Giono, et al.. (2001). Human p8 Is a HMG-I/Y-like Protein with DNA Binding Activity Enhanced by Phosphorylation. Journal of Biological Chemistry. 276(4). 2742–2751. 114 indexed citations
15.
Cánepa, Eduardo T., Marilda Mendonça Siqueira, María Hortal, & Fabian Friedrich. (2000). Recent measles viral activity in Uruguai: serological and genetic approaches.. PubMed. 44(1). 35–9. 9 indexed citations
17.
Vasseur, Sophie, Gustavo V. Mallo, Fritz Fiedler, et al.. (1999). Cloning and expression of the human p8, a nuclear protein with mitogenic activity. European Journal of Biochemistry. 259(3). 670–675. 94 indexed citations
18.
Varone, Cecilia & Eduardo T. Cánepa. (1997). Evidence That Protein Kinase C Is Involved in δ-Aminolevulinate Synthase Expression in Rat Hepatocytes. Archives of Biochemistry and Biophysics. 341(2). 259–266. 9 indexed citations
19.
Varone, Cecilia, et al.. (1996). Glucose inhibits phenobarbital-induced δ-aminolevulinate synthase expression in normal but not in diabetic rat hepatocytes. Biochemistry and Cell Biology. 74(2). 271–281. 6 indexed citations
20.
Cánepa, Eduardo T., et al.. (1989). Studies on regulatory mechanisms of heme biosynthesis in hepatocytes from normal and experimental-diabetic rats. Role of cAMP. Biochemistry and Cell Biology. 67(11-12). 751–758. 4 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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