Ariel Basulto Perdomo

441 total citations
8 papers, 333 citations indexed

About

Ariel Basulto Perdomo is a scholar working on Epidemiology, Molecular Biology and Hepatology. According to data from OpenAlex, Ariel Basulto Perdomo has authored 8 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 3 papers in Molecular Biology and 3 papers in Hepatology. Recurrent topics in Ariel Basulto Perdomo's work include Autophagy in Disease and Therapy (3 papers), Hepatitis B Virus Studies (3 papers) and Bacteriophages and microbial interactions (2 papers). Ariel Basulto Perdomo is often cited by papers focused on Autophagy in Disease and Therapy (3 papers), Hepatitis B Virus Studies (3 papers) and Bacteriophages and microbial interactions (2 papers). Ariel Basulto Perdomo collaborates with scholars based in Italy, United States and Sweden. Ariel Basulto Perdomo's co-authors include Gian María Fimia, Mauro Piacentini, Fabiola Ciccosanti, Tonino Alonzi, Marco Corazzari, Tiziana Vescovo, Marco Tripodi, Carmine Mancone, Giuseppe Ippolito and Francesca Nazio and has published in prestigious journals such as Gastroenterology, Hepatology and Developmental Cell.

In The Last Decade

Ariel Basulto Perdomo

8 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ariel Basulto Perdomo Italy 8 188 166 77 41 37 8 333
Mónica Santamaría Spain 4 200 1.1× 22 0.1× 22 0.3× 31 0.8× 32 0.9× 4 335
Saori Yamaguchi Japan 10 294 1.6× 33 0.2× 26 0.3× 30 0.7× 8 0.2× 15 468
Katharina Roß Germany 6 335 1.8× 58 0.3× 20 0.3× 5 0.1× 14 0.4× 11 436
Vishwaroop Mulay Australia 14 195 1.0× 53 0.3× 39 0.5× 5 0.1× 7 0.2× 14 449
Feijun Huang China 11 130 0.7× 333 2.0× 19 0.2× 211 5.1× 4 0.1× 28 478
Mona Zoheiry Egypt 12 144 0.8× 75 0.5× 9 0.1× 69 1.7× 41 1.1× 22 339
Kévin Guilloux Switzerland 6 153 0.8× 143 0.9× 16 0.2× 154 3.8× 6 0.2× 7 335
Inna Ricardo-Lax United States 8 264 1.4× 95 0.6× 112 1.5× 31 0.8× 2 0.1× 12 535
Xiangye Liu China 13 178 0.9× 94 0.6× 34 0.4× 36 0.9× 4 0.1× 33 380
Prafull Kumar Singh India 12 178 0.9× 44 0.3× 30 0.4× 15 0.4× 3 0.1× 16 339

Countries citing papers authored by Ariel Basulto Perdomo

Since Specialization
Citations

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

Fields of papers citing papers by Ariel Basulto Perdomo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ariel Basulto Perdomo. 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 Ariel Basulto Perdomo. The network helps show where Ariel Basulto Perdomo may publish in the future.

Co-authorship network of co-authors of Ariel Basulto Perdomo

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

All Works

8 of 8 papers shown
1.
Refolo, Giulia, Fabiola Ciccosanti, Martina Di Rienzo, et al.. (2018). Negative Regulation of Mitochondrial Antiviral Signaling Protein–Mediated Antiviral Signaling by the Mitochondrial Protein LRPPRC During Hepatitis C Virus Infection. Hepatology. 69(1). 34–50. 34 indexed citations
2.
Antonioli, Manuela, Francesca Nazio, Tiziana Vescovo, et al.. (2014). AMBRA1 Interplay with Cullin E3 Ubiquitin Ligases Regulates Autophagy Dynamics. Developmental Cell. 31(6). 734–746. 113 indexed citations
3.
Vakifahmetoglu-Norberg, Helin, Erik Norberg, Ariel Basulto Perdomo, et al.. (2013). Caspase-2 promotes cytoskeleton protein degradation during apoptotic cell death. Cell Death and Disease. 4(12). e940–e940. 14 indexed citations
4.
Mancone, Carmine, Fabiola Ciccosanti, Claudia Montaldo, et al.. (2012). Applying proteomic technology to clinical virology. Clinical Microbiology and Infection. 19(1). 23–28. 16 indexed citations
5.
Vescovo, Tiziana, Alessandra Romagnoli, Ariel Basulto Perdomo, et al.. (2011). Autophagy Protects Cells From HCV-Induced Defects in Lipid Metabolism. Gastroenterology. 142(3). 644–653.e3. 57 indexed citations
6.
Perdomo, Ariel Basulto, Fabiola Ciccosanti, Oreste Lo Iacono, et al.. (2011). Liver Protein Profiling in Chronic Hepatitis C: Identification of Potential Predictive Markers for Interferon Therapy Outcome. Journal of Proteome Research. 11(2). 717–727. 16 indexed citations
7.
Imperi, Francesco, Fabiola Ciccosanti, Ariel Basulto Perdomo, et al.. (2009). Analysis of the periplasmic proteome of Pseudomonas aeruginosa, a metabolically versatile opportunistic pathogen. PROTEOMICS. 9(7). 1901–1915. 74 indexed citations
8.
Mancone, Carmine, Beatrice Conti, Laura Amicone, et al.. (2009). Proteomic analysis reveals a major role for contact inhibition in the terminal differentiation of hepatocytes. Journal of Hepatology. 52(2). 234–243. 9 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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