Pamela Gatto

1.8k total citations
17 papers, 491 citations indexed

About

Pamela Gatto is a scholar working on Molecular Biology, Neurology and Geriatrics and Gerontology. According to data from OpenAlex, Pamela Gatto has authored 17 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Geriatrics and Gerontology. Recurrent topics in Pamela Gatto's work include Plant Gene Expression Analysis (4 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Neuroblastoma Research and Treatments (3 papers). Pamela Gatto is often cited by papers focused on Plant Gene Expression Analysis (4 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Neuroblastoma Research and Treatments (3 papers). Pamela Gatto collaborates with scholars based in Italy, Netherlands and Germany. Pamela Gatto's co-authors include Riccardo Velasco, Claudio Moser, Fulvio Mattivi, Paolo Fontana, Cinzia Segala, Chiara Romualdi, M. Stefanini, Urška Vrhovšek, Jost Muth and Massimo Pindo and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Cancer Research.

In The Last Decade

Pamela Gatto

17 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pamela Gatto Italy 12 288 197 116 60 51 17 491
Jörg Bergemann Germany 13 454 1.6× 217 1.1× 24 0.2× 16 0.3× 25 0.5× 32 660
Alessandra Pollice Italy 20 629 2.2× 109 0.6× 58 0.5× 6 0.1× 12 0.2× 40 859
Céline Léon France 11 902 3.1× 868 4.4× 306 2.6× 12 0.2× 158 3.1× 17 1.3k
Xiaoyi Hu China 11 463 1.6× 164 0.8× 137 1.2× 4 0.1× 86 1.7× 15 762
Chau Nguyen United States 11 244 0.8× 125 0.6× 106 0.9× 4 0.1× 61 1.2× 17 544
C. E. Johnson United States 11 94 0.3× 96 0.5× 37 0.3× 8 0.1× 23 0.5× 24 307
Meiling Liu China 14 194 0.7× 168 0.9× 28 0.2× 21 0.3× 5 0.1× 45 572
Junhong Ma China 15 320 1.1× 444 2.3× 47 0.4× 2 0.0× 42 0.8× 30 757
Jiabin Liu China 15 340 1.2× 50 0.3× 23 0.2× 8 0.1× 13 0.3× 44 598

Countries citing papers authored by Pamela Gatto

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Gatto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Gatto

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

All Works

17 of 17 papers shown
1.
Pancher, Michael, Pamela Gatto, Bob Asselbergh, et al.. (2024). Autophagy induction by piplartine ameliorates axonal degeneration caused by mutant HSPB1 and HSPB8 in Charcot-Marie-Tooth type 2 neuropathies. Autophagy. 21(5). 1116–1143. 4 indexed citations
2.
Gatto, Pamela, Viktoryia Sidarovich, Veronica De Sanctis, et al.. (2023). Alpha-1 Adrenergic Antagonists Sensitize Neuroblastoma to Therapeutic Differentiation. Cancer Research. 83(16). 2733–2749. 6 indexed citations
3.
Rubert, Josep, Pamela Gatto, Michael Pancher, et al.. (2022). A Screening of Native (Poly)phenols and Gut‐Related Metabolites on 3D HCT116 Spheroids Reveals Gut Health Benefits of a Flavan‐3‐ol Metabolite. Molecular Nutrition & Food Research. 66(21). e2101043–e2101043. 16 indexed citations
4.
Costa, Federica, Pamela Gatto, Federica Fusco, et al.. (2020). Increased transcription of transglutaminase 1 mediates neuronal death in in vitro models of neuronal stress and Aβ1–42-mediated toxicity. Neurobiology of Disease. 140. 104849–104849. 11 indexed citations
5.
Pancher, Michael, et al.. (2019). Automated in vivo screen in zebrafish identifies Clotrimazole as targeting a metabolic vulnerability in a melanoma model. Developmental Biology. 457(2). 215–225. 13 indexed citations
6.
Pancher, Michael, Claudia Stincardini, Tania Massignan, et al.. (2019). Identification of compounds inhibiting prion replication and toxicity by removing PrP C from the cell surface. Journal of Neurochemistry. 152(1). 136–150. 8 indexed citations
7.
Gatto, Pamela, Michael Pancher, Alessandra Bisio, et al.. (2019). Apigenin rich-Limonium duriusculum (de Girard) Kuntze promotes apoptosis in HCT116 cancer cells. Natural Product Research. 35(17). 2910–2914. 10 indexed citations
8.
Sidarovich, Viktoryia, Marilena De Mariano, Sanja Aveic, et al.. (2018). A High-Content Screening of Anticancer Compounds Suggests the Multiple Tyrosine Kinase Inhibitor Ponatinib for Repurposing in Neuroblastoma Therapy. Molecular Cancer Therapeutics. 17(7). 1405–1415. 29 indexed citations
9.
Adami, Valentina, Eliana Amati, M. Bernardi, et al.. (2018). In-vitro analysis of Quantum Molecular Resonance effects on human mesenchymal stromal cells. PLoS ONE. 13(1). e0190082–e0190082. 21 indexed citations
10.
Sidarovich, Viktoryia, Valentina Adami, Pamela Gatto, et al.. (2015). Translational Downregulation of HSP90 Expression by Iron Chelators in Neuroblastoma Cells. Molecular Pharmacology. 87(3). 513–524. 18 indexed citations
11.
Lauria, Fabio, Toma Tebaldi, Lorenzo Lunelli, et al.. (2015). RiboAbacus: a model trained on polyribosome images predicts ribosome density and translational efficiency from mammalian transcriptomes. Nucleic Acids Research. 43(22). e153–e153. 7 indexed citations
12.
Latorre, Elisa, et al.. (2014). Loss of Protein Kinase Cδ/HuR Interaction Is Necessary to Doxorubicin Resistance in Breast Cancer Cell Lines. Journal of Pharmacology and Experimental Therapeutics. 349(1). 99–106. 19 indexed citations
13.
Zamboni, Anita, Pamela Gatto, Alessandro Cestaro, et al.. (2009). Grapevine cell early activation of specific responses to DIMEB, a resveratrol elicitor. BMC Genomics. 10(1). 363–363. 45 indexed citations
14.
Longhi, Sara, Antonella Cristofori, Pamela Gatto, et al.. (2009). Biomolecular identification of allergenic pollen: a new perspective for aerobiological monitoring?. Annals of Allergy Asthma & Immunology. 103(6). 508–514. 43 indexed citations
15.
Gatto, Pamela, Urška Vrhovšek, Jost Muth, et al.. (2008). Ripening and Genotype Control Stilbene Accumulation in Healthy Grapes. Journal of Agricultural and Food Chemistry. 56(24). 11773–11785. 156 indexed citations
16.
Moser, Claudio, Cinzia Segala, Paolo Fontana, et al.. (2005). Comparative analysis of expressed sequence tags from different organs of Vitis vinifera L.. Functional & Integrative Genomics. 5(4). 208–217. 38 indexed citations
17.
Moser, Claudio, Pamela Gatto, Mirko Moser, Massimo Pindo, & Riccardo Velasco. (2004). Isolation of Functional RNA From Small Amounts of Different Grape and Apple Tissues. Molecular Biotechnology. 26(2). 95–100. 47 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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