Erika Reitano

993 total citations · 1 hit paper
8 papers, 789 citations indexed

About

Erika Reitano is a scholar working on Molecular Biology, Developmental Neuroscience and Biomedical Engineering. According to data from OpenAlex, Erika Reitano has authored 8 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Developmental Neuroscience and 3 papers in Biomedical Engineering. Recurrent topics in Erika Reitano's work include Neurogenesis and neuroplasticity mechanisms (5 papers), Pluripotent Stem Cells Research (4 papers) and Advanced Biosensing Techniques and Applications (1 paper). Erika Reitano is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (5 papers), Pluripotent Stem Cells Research (4 papers) and Advanced Biosensing Techniques and Applications (1 paper). Erika Reitano collaborates with scholars based in Italy and United Kingdom. Erika Reitano's co-authors include Elena Cattaneo, Luciano Conti, Austin Smith, Mauro Toselli, Steven M. Pollard, Yirui Sun, S. Sanzone, Gerardo Biella, Qi‐Long Ying and Thorsten Gorba and has published in prestigious journals such as Analytical Biochemistry, Scientific Reports and Annals of the New York Academy of Sciences.

In The Last Decade

Erika Reitano

7 papers receiving 776 citations

Hit Papers

Niche-Independent Symmetrical Self-Renewal of a Mammalian... 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erika Reitano Italy 5 605 356 182 89 87 8 789
Daniel C. Factor United States 9 634 1.0× 274 0.8× 121 0.7× 48 0.5× 97 1.1× 11 776
Sven Falk Germany 13 502 0.8× 327 0.9× 170 0.9× 61 0.7× 79 0.9× 19 751
Rodrigo Sánchez Germany 5 614 1.0× 434 1.2× 310 1.7× 60 0.7× 67 0.8× 5 836
Sören Moritz Germany 9 972 1.6× 237 0.7× 261 1.4× 88 1.0× 42 0.5× 13 1.2k
Tania O. Alexson Canada 5 673 1.1× 422 1.2× 247 1.4× 79 0.9× 123 1.4× 6 928
Karen Lai United States 5 629 1.0× 292 0.8× 143 0.8× 66 0.7× 83 1.0× 5 934
Cindy Huang United States 9 748 1.2× 174 0.5× 228 1.3× 44 0.5× 40 0.5× 10 980
Inka Pawlitzky United States 8 668 1.1× 538 1.5× 193 1.1× 120 1.3× 200 2.3× 12 1.0k
Stéphane Nedelec France 13 775 1.3× 127 0.4× 247 1.4× 131 1.5× 68 0.8× 20 1.0k
Sonia Bonilla Spain 14 452 0.7× 178 0.5× 249 1.4× 151 1.7× 38 0.4× 17 747

Countries citing papers authored by Erika Reitano

Since Specialization
Citations

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

Fields of papers citing papers by Erika Reitano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erika Reitano

This figure shows the co-authorship network connecting the top 25 collaborators of Erika Reitano. A scholar is included among the top collaborators of Erika Reitano 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 Reitano. Erika Reitano 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.
2.
Arena, Francesca, Mariangela Boccalon, Roberta Napolitano, et al.. (2023). Short-wave infrared fluorescence imaging of near-infrared dyes with robust end-tail emission using a small-animal imaging device. PNAS Nexus. 2(8). pgad250–pgad250. 3 indexed citations
3.
Reitano, Erika, et al.. (2020). Biotin oligonucleotide labeling reactions: A method to assess their effectiveness and reproducibility. Analytical Biochemistry. 593. 113590–113590. 1 indexed citations
4.
Brilli, Elisa, Erika Reitano, Luciano Conti, et al.. (2012). Neural Stem Cells Engrafted in the Adult Brain Fuse with Endogenous Neurons. Stem Cells and Development. 22(4). 538–547. 23 indexed citations
5.
Ponti, Giovanna, Erika Reitano, Patrizia Aimar, et al.. (2010). Neural-specific inactivation of ShcA functions results in anatomical disorganization of subventricular zone neural stem cell niche in the adult brain. Neuroscience. 168(1). 314–322. 8 indexed citations
6.
Conti, Luciano, Erika Reitano, & Elena Cattaneo. (2006). Neural Stem Cell Systems: Diversities and Properties after Transplantation in Animal Models of Diseases. Brain Pathology. 16(2). 143–154. 49 indexed citations
7.
Zuccato, Chiara, Luciano Conti, Erika Reitano, Marzia Tartari, & Elena Cattaneo. (2005). The Function of the Neuronal Proteins Shc and Huntingtin in Stem Cells and Neurons: Pharmacologic Exploitation for Human Brain Diseases. Annals of the New York Academy of Sciences. 1049(1). 39–50. 4 indexed citations
8.
Conti, Luciano, Steven M. Pollard, Thorsten Gorba, et al.. (2005). Niche-Independent Symmetrical Self-Renewal of a Mammalian Tissue Stem Cell. PLoS Biology. 3(9). e283–e283. 701 indexed citations breakdown →

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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