Debora Avella

804 total citations · 1 hit paper
9 papers, 668 citations indexed

About

Debora Avella is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Debora Avella has authored 9 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Developmental Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Genetics. Recurrent topics in Debora Avella's work include Neurogenesis and neuroplasticity mechanisms (5 papers), Glioma Diagnosis and Treatment (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Debora Avella is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (5 papers), Glioma Diagnosis and Treatment (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Debora Avella collaborates with scholars based in Italy and Croatia. Debora Avella's co-authors include Cristiana Soldani, Graziella Bernocchi, Alberto Gasco, Piergiuseppe Colombo, Benedetta Savino, Antonella De Palma, Pierluigi Mauri, Stefano Ugel, Nives Jonjić and Sanja Pečanić and has published in prestigious journals such as The Journal of Experimental Medicine, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Debora Avella

9 papers receiving 658 citations

Hit Papers

Chemokine nitration prevents intratumoral infiltration of... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debora Avella Italy 8 423 330 165 58 55 9 668
Czrina Cortez United States 7 451 1.1× 398 1.2× 265 1.6× 44 0.8× 63 1.1× 9 891
Valentina Carbonaro United Kingdom 7 366 0.9× 223 0.7× 273 1.7× 50 0.9× 16 0.3× 7 690
Qingnan Zhao China 14 194 0.5× 209 0.6× 284 1.7× 91 1.6× 51 0.9× 22 624
Heon‐Woo Lee South Korea 10 151 0.4× 119 0.4× 288 1.7× 55 0.9× 37 0.7× 14 625
So-Young Hwang United States 7 206 0.5× 275 0.8× 370 2.2× 118 2.0× 134 2.4× 7 836
Jana K. Sonner Germany 10 204 0.5× 80 0.2× 236 1.4× 47 0.8× 88 1.6× 19 551
Abdullah Alsuliman United States 9 236 0.6× 225 0.7× 105 0.6× 45 0.8× 107 1.9× 15 588
Saskia Roesch Germany 7 174 0.4× 111 0.3× 137 0.8× 37 0.6× 74 1.3× 7 391
Anirudh Sattiraju United States 11 114 0.3× 111 0.3× 162 1.0× 41 0.7× 45 0.8× 24 460
Nicklas Bassani United States 4 300 0.7× 172 0.5× 335 2.0× 69 1.2× 18 0.3× 4 626

Countries citing papers authored by Debora Avella

Since Specialization
Citations

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

Fields of papers citing papers by Debora Avella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debora Avella

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

All Works

9 of 9 papers shown
1.
Avella, Debora, et al.. (2012). Cisplatin induces changes in the matrix metalloproteinases and their inhibitors in the developing rat cerebellum. Brain Research. 1484. 15–28. 8 indexed citations
2.
Molon, Barbara, Stefano Ugel, Cristiana Soldani, et al.. (2011). Chemokine nitration prevents intratumoral infiltration of antigen-specific T cells. The Journal of Experimental Medicine. 208(10). 1949–1962. 510 indexed citations breakdown →
3.
Bottone, Maria Grazia, et al.. (2008). Cell proliferation, apoptosis and mitochondrial damage in rat B50 neuronal cells after cisplatin treatment. Cell Proliferation. 41(3). 506–520. 36 indexed citations
4.
Croce, Anna Cleta, et al.. (2006). Autofluorescence properties of rat cerebellum cortex during postnatal development. Lasers in Surgery and Medicine. 38(6). 598–607. 4 indexed citations
5.
Roda, E., et al.. (2006). Monoamine receptors and immature cerebellum cytoarchitecture after cisplatin injury. Journal of Chemical Neuroanatomy. 33(1). 42–52. 9 indexed citations
6.
Avella, Debora, et al.. (2006). Reorganization of the rat cerebellar cortex during postnatal development following cisplatin treatment. Experimental Neurology. 201(1). 131–143. 23 indexed citations
7.
Azzalin, Alberto, Silvia Cerri, Debora Avella, et al.. (2006). Interaction between the cellular prion (PrPC) and the 2P domain K+ channel TREK-1 protein. Biochemical and Biophysical Research Communications. 346(1). 108–115. 16 indexed citations
8.
Roda, E., et al.. (2005). Proliferation and migration of granule cells in the developing rat cerebellum: Cisplatin effects. The Anatomical Record Part A Discoveries in Molecular Cellular and Evolutionary Biology. 287A(2). 1226–1235. 37 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026