Erika Feltrin

497 total citations
11 papers, 272 citations indexed

About

Erika Feltrin is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Erika Feltrin has authored 11 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Genetics. Recurrent topics in Erika Feltrin's work include RNA Research and Splicing (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Semantic Web and Ontologies (2 papers). Erika Feltrin is often cited by papers focused on RNA Research and Splicing (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Semantic Web and Ontologies (2 papers). Erika Feltrin collaborates with scholars based in Italy, United States and Germany. Erika Feltrin's co-authors include Giorgio Valle, Margherita Lucchin, Nicola Vitulo, Claudio Bonghi, Andrea Telatin, Élie Maza, Massimiliano Corso, Michela D’Angelo, Alfredo Simone Negri and Mondher Bouzayen and has published in prestigious journals such as The FASEB Journal, Journal of Experimental Botany and BMC Bioinformatics.

In The Last Decade

Erika Feltrin

11 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erika Feltrin Italy 9 132 118 37 32 27 11 272
Cora Lilia Alvarez Argentina 10 102 0.8× 99 0.8× 104 2.8× 10 0.3× 16 0.6× 20 312
S. Sahu India 10 274 2.1× 41 0.3× 11 0.3× 7 0.2× 53 2.0× 25 425
Anne E. Dodson United States 9 467 3.5× 72 0.6× 13 0.4× 11 0.3× 45 1.7× 16 541
Yaniv Harari Israel 10 200 1.5× 48 0.4× 23 0.6× 15 0.5× 33 1.2× 13 287
Ho‐Su Sin Japan 10 278 2.1× 71 0.6× 13 0.4× 8 0.3× 149 5.5× 14 418
Juok Cho South Korea 5 196 1.5× 52 0.4× 11 0.3× 5 0.2× 23 0.9× 6 283
Raelene A. Charbeneau United States 9 147 1.1× 43 0.4× 15 0.4× 13 0.4× 40 1.5× 15 315
Mingzhu Yang China 11 373 2.8× 56 0.5× 12 0.3× 8 0.3× 69 2.6× 27 480
Don Hoang United States 8 178 1.3× 88 0.7× 14 0.4× 14 0.4× 55 2.0× 11 291

Countries citing papers authored by Erika Feltrin

Since Specialization
Citations

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

Fields of papers citing papers by Erika Feltrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erika Feltrin

This figure shows the co-authorship network connecting the top 25 collaborators of Erika Feltrin. A scholar is included among the top collaborators of Erika Feltrin 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 Erika Feltrin. Erika Feltrin 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.
Vergani, Elisabetta, Simona Frigerio, Matteo Dugo, et al.. (2021). Genetic Variants and Somatic Alterations Associated with MITF-E318K Germline Mutation in Melanoma Patients. Genes. 12(9). 1440–1440. 3 indexed citations
2.
Zanetti, Alessandra, Francesca D’Avanzo, Guido Zampieri, et al.. (2020). Setup and Validation of a Targeted Next-Generation Sequencing Approach for the Diagnosis of Lysosomal Storage Disorders. Journal of Molecular Diagnostics. 22(4). 488–502. 13 indexed citations
3.
Franzolin, Elisa, Paola Ferraro, Giovanna Pontarin, et al.. (2019). SAMHD1‐deficient fibroblasts from Aicardi‐Goutières Syndrome patients can escape senescence and accumulate mutations. The FASEB Journal. 34(1). 631–647. 13 indexed citations
4.
Bortoluzzi, Stefania, Alessandro Coppe, Giorgio Valle, et al.. (2018). Rare Risk Variants Identification by Identity-by-Descent Mapping and Whole-Exome Sequencing Implicates Neuronal Development Pathways in Schizophrenia and Bipolar Disorder. Molecular Neurobiology. 55(9). 7366–7376. 12 indexed citations
5.
Forcato, Claudio, Nicola Vitulo, Giovanni Birolo, et al.. (2017). QueryOR: a comprehensive web platform for genetic variant analysis and prioritization. BMC Bioinformatics. 18(1). 225–225. 20 indexed citations
6.
Corso, Massimiliano, Alessandro Vannozzi, Élie Maza, et al.. (2015). Comprehensive transcript profiling of two grapevine rootstock genotypes contrasting in drought susceptibility links the phenylpropanoid pathway to enhanced tolerance. Journal of Experimental Botany. 66(19). 5739–5752. 113 indexed citations
7.
Feltrin, Erika, et al.. (2010). Combining ontologies and workflows to design formal protocols for biological laboratories. PubMed. 2(1). 3–3. 9 indexed citations
8.
9.
Feltrin, Erika, Stefano Campanaro, Alexander D. Diehl, et al.. (2009). Muscle Research and Gene Ontology: New standards for improved data integration. BMC Medical Genomics. 2(1). 6–6. 17 indexed citations
10.
Chana, Gursharan, Fabiana Ribeiro Caldara, Erika Feltrin, et al.. (2006). Microarray analysis of cultured human brain aggregates following cortisol exposure: Implications for cellular functions relevant to mood disorders. Neurobiology of Disease. 23(3). 630–636. 46 indexed citations
11.
Citterio, Sandra, Emidio Albertini, Serena Varotto, et al.. (2005). Alfalfa Mob1-like Genes are Expressed in Reproductive Organs during Meiosis and Gametogenesis. Plant Molecular Biology. 58(6). 789–807. 25 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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2026