Elena De Matteo

1.5k total citations
61 papers, 1.2k citations indexed

About

Elena De Matteo is a scholar working on Oncology, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Elena De Matteo has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Oncology, 38 papers in Pathology and Forensic Medicine and 15 papers in Epidemiology. Recurrent topics in Elena De Matteo's work include Viral-associated cancers and disorders (38 papers), Lymphoma Diagnosis and Treatment (38 papers) and Liver Disease Diagnosis and Treatment (12 papers). Elena De Matteo is often cited by papers focused on Viral-associated cancers and disorders (38 papers), Lymphoma Diagnosis and Treatment (38 papers) and Liver Disease Diagnosis and Treatment (12 papers). Elena De Matteo collaborates with scholars based in Argentina, Spain and United States. Elena De Matteo's co-authors include María Victoria Preciado, Paola Chabay, Saúl Grinstein, Marina Narbaitz, Pamela Valva, Victor E. Gould, William H. Warren, Paolo Gattuso, Mario Alejandro Lorenzetti and Alejandra C. Cherñavsky and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Elena De Matteo

59 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elena De Matteo Argentina 21 700 509 398 230 150 61 1.2k
Keiichi Ohsato Japan 20 294 0.4× 430 0.8× 142 0.4× 87 0.4× 98 0.7× 58 1.2k
Li-Zhen Chen China 22 798 1.1× 168 0.3× 200 0.5× 264 1.1× 30 0.2× 38 1.7k
Hülya Çetınkaya Türkiye 17 139 0.2× 211 0.4× 472 1.2× 115 0.5× 330 2.2× 48 989
Anna Napoli Italy 16 207 0.3× 131 0.3× 138 0.3× 125 0.5× 126 0.8× 44 1.0k
Elisa Pasini Canada 14 274 0.4× 385 0.8× 113 0.3× 124 0.5× 32 0.2× 40 791
Gui Han Lee United Kingdom 13 458 0.7× 186 0.4× 231 0.6× 178 0.8× 44 0.3× 18 974
Horacio Oliva Spain 13 148 0.2× 176 0.3× 246 0.6× 47 0.2× 247 1.6× 17 760
Jeremy T. Hetzel United States 9 461 0.7× 195 0.4× 250 0.6× 182 0.8× 85 0.6× 11 924
Brian B. Borg United States 14 210 0.3× 103 0.2× 847 2.1× 75 0.3× 519 3.5× 31 1.2k
José A. Campillo Spain 18 147 0.2× 100 0.2× 133 0.3× 651 2.8× 76 0.5× 80 1.0k

Countries citing papers authored by Elena De Matteo

Since Specialization
Citations

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

Fields of papers citing papers by Elena De Matteo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elena De Matteo. 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 Elena De Matteo. The network helps show where Elena De Matteo may publish in the future.

Co-authorship network of co-authors of Elena De Matteo

This figure shows the co-authorship network connecting the top 25 collaborators of Elena De Matteo. A scholar is included among the top collaborators of Elena De Matteo 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 Elena De Matteo. Elena De Matteo 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.
Ryan, Pablo, Lourdes Domínguez, Luz Martı́n-Carbonero, et al.. (2025). Extracellular vesicles derived microRNAs as non-invasive markers of liver fibrosis in chronically infected HCV patients: a pilot study. Non-coding RNA Research. 12. 132–140.
2.
3.
Preciado, María Victoria, et al.. (2025). Pandemic-Driven Shifts in Epstein-Barr Virus (EBV) Epidemiology: Single Center Study. Viruses. 17(3). 375–375. 1 indexed citations
4.
Matteo, Elena De, et al.. (2023). EBV Impact in Peripheral Macrophages’ Polarization Cytokines in Pediatric Patients. Viruses. 15(10). 2105–2105. 1 indexed citations
5.
Matteo, Elena De, Marcela Galoppo, Paola Casciato, et al.. (2021). Hepatic lymphocytes involved in the pathogenesis of pediatric and adult non-alcoholic fatty liver disease. Scientific Reports. 11(1). 5129–5129. 25 indexed citations
6.
Chabay, Paola, Daniela Lens, Rocı́o Hassan, et al.. (2020). Lymphotropic Viruses EBV, KSHV and HTLV in Latin America: Epidemiology and Associated Malignancies. A Literature-Based Study by the RIAL-CYTED. Cancers. 12(8). 2166–2166. 20 indexed citations
7.
Preciado, María Victoria, et al.. (2020). Epstein–Barr virus recruits PDL1-positive cells at the microenvironment in pediatric Hodgkin lymphoma. Cancer Immunology Immunotherapy. 70(6). 1519–1526. 13 indexed citations
8.
Matteo, Elena De, et al.. (2020). Distinctive EBV infection characteristics in children from a developing country. International Journal of Infectious Diseases. 93. 139–145. 16 indexed citations
9.
Matteo, Elena De, et al.. (2018). The interplay between local immune response and Epstein–Barr virus-infected tonsillar cells could lead to viral infection control. Medical Microbiology and Immunology. 207(5-6). 319–327. 8 indexed citations
10.
Matteo, Elena De, et al.. (2016). Analysis of Epstein-Barr virus infection models in a series of pediatric carriers from a developing country. Scientific Reports. 6(1). 23303–23303. 13 indexed citations
11.
Matteo, Elena De, et al.. (2013). Epstein–Barr virus (EBV) association and latency profile in pediatric Burkitt's lymphoma: Experience of a single institution in Argentina. Journal of Medical Virology. 86(5). 845–850. 13 indexed citations
12.
13.
Valva, Pamela, Paola Casciato, Juan María Díaz Carrasco, et al.. (2011). The Role of Serum Biomarkers in Predicting Fibrosis Progression in Pediatric and Adult Hepatitis C Virus Chronic Infection. PLoS ONE. 6(8). e23218–e23218. 43 indexed citations
14.
Chabay, Paola, et al.. (2008). Low Frequency of Epstein Barr Virus Association and High Frequency of p53 Overexpression in an Argentinean Pediatric T-Cell Lymphoma Series. Pediatric and Developmental Pathology. 12(1). 28–34. 4 indexed citations
15.
Chabay, Paola, Pamela Valva, Mário Henrique M. Barros, et al.. (2007). Structural variability of the carboxy‐terminus of Epstein–Barr virus encoded latent membrane protein 1 gene in Hodgkin's lymphomas. Journal of Medical Virology. 79(11). 1730–1722. 21 indexed citations
16.
Matteo, Elena De, et al.. (2005). Epstein-Barr virus associated with primary CNS lymphoma and disseminated BCG infection in a child with AIDS. International Journal of Infectious Diseases. 9(2). 96–103. 9 indexed citations
17.
Barese, Cecilia, et al.. (2004). Molecular characterization of a novel splice site mutation within the CYBB gene leading to X‐linked chronic granulomatous disease. Pediatric Blood & Cancer. 44(4). 420–422. 7 indexed citations
18.
Chabay, Paola, et al.. (2004). High frequency of Epstein Barr virus latent membrane protein-1 30?bp deletion in a series of pediatric malignancies in Argentina. Archives of Virology. 149(8). 1515–26. 15 indexed citations
19.
Grinstein, Saúl, María Victoria Preciado, Paolo Gattuso, et al.. (2002). Demonstration of Epstein-Barr virus in carcinomas of various sites.. PubMed. 62(17). 4876–8. 135 indexed citations
20.
Preciado, María Victoria, et al.. (2001). EBV-Associated Hodgkin's Disease in an HIV-Infected Child Presenting with a Hemophagocytic Syndrome. Leukemia & lymphoma. 42(1-2). 231–234. 15 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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