Serena Marcelli

443 total citations
8 papers, 298 citations indexed

About

Serena Marcelli is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Serena Marcelli has authored 8 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Serena Marcelli's work include Ubiquitin and proteasome pathways (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Alzheimer's disease research and treatments (3 papers). Serena Marcelli is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Alzheimer's disease research and treatments (3 papers). Serena Marcelli collaborates with scholars based in Italy, Switzerland and Canada. Serena Marcelli's co-authors include Marco Feligioni, Elena Ficulle, A Pino, Robert Nisticò, Filomena Iannuzzi, Massimo Corbo, Lucia Negri, Fabio Blandini, Enikò Kövari and Laura Piccolo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Experimental Neurology.

In The Last Decade

Serena Marcelli

8 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Serena Marcelli Italy	8	143	78	78	36	30	8	298
Elena Ficulle Italy	9	140 1.0×	78 1.0×	80 1.0×	41 1.1×	14 0.5×	12	313
Elizabeth Silbermann United States	12	169 1.2×	51 0.7×	103 1.3×	42 1.2×	34 1.1×	22	465
Emma Reid United Kingdom	6	175 1.2×	43 0.6×	84 1.1×	24 0.7×	28 0.9×	8	340
Angel On-Kei Chan China	11	115 0.8×	26 0.3×	105 1.3×	23 0.6×	10 0.3×	24	318
Rafael Teixeira Ribeiro Brazil	12	217 1.5×	23 0.3×	63 0.8×	43 1.2×	53 1.8×	42	349
Antonio Chiariello Italy	8	146 1.0×	204 2.6×	247 3.2×	34 0.9×	20 0.7×	10	407
Aleksandra Nadaj‐Pakleza France	12	202 1.4×	133 1.7×	85 1.1×	89 2.5×	7 0.2×	30	441
Valentina Vielmi Italy	10	197 1.4×	40 0.5×	66 0.8×	43 1.2×	14 0.5×	14	355
Cristina González‐Mingot Spain	9	145 1.0×	19 0.2×	39 0.5×	23 0.6×	10 0.3×	30	320

Countries citing papers authored by Serena Marcelli

Since Specialization

Citations

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

Fields of papers citing papers by Serena Marcelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Marcelli

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

All Works

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8 of 8 papers shown

Pino, A, et al.. (2019). Hyperhomocysteinemia as a Risk Factor and Potential Nutraceutical Target for Certain Pathologies. Frontiers in Nutrition. 6. 49–49. 135 indexed citations

Nuzzo, Tommaso, Marco Feligioni, Luigia Cristino, et al.. (2019). Free d-aspartate triggers NMDA receptor-dependent cell death in primary cortical neurons and perturbs JNK activation, Tau phosphorylation, and protein SUMOylation in the cerebral cortex of mice lacking d-aspartate oxidase activity. Experimental Neurology. 317. 51–65. 24 indexed citations

Marcelli, Serena, Filomena Iannuzzi, Elena Ficulle, et al.. (2019). The selective disruption of presynaptic JNK2/STX1a interaction reduces NMDA receptor-dependent glutamate release. Scientific Reports. 9(1). 7146–7146. 11 indexed citations

Marcelli, Serena, Elena Ficulle, Laura Piccolo, Massimo Corbo, & Marco Feligioni. (2017). An overview of the possible therapeutic role of SUMOylation in the treatment of Alzheimer’s disease. Pharmacological Research. 130. 420–437. 14 indexed citations

Marcelli, Serena, Massimo Corbo, Filomena Iannuzzi, et al.. (2017). The Involvement of Post-Translational Modifications in Alzheimer's Disease. Current Alzheimer Research. 15(4). 313–335. 58 indexed citations

Mango, Dalila, Giuseppe Battaglia, Serena Marcelli, et al.. (2017). Acid-sensing ion channel 1a is required for mGlu receptor dependent long-term depression in the hippocampus. Pharmacological Research. 119. 12–19. 15 indexed citations

Marcelli, Serena, Elena Ficulle, Filomena Iannuzzi, et al.. (2016). Targeting SUMO-1ylation Contrasts Synaptic Dysfunction in a Mouse Model of Alzheimer’s Disease. Molecular Neurobiology. 54(8). 6609–6623. 28 indexed citations

Feligioni, Marco, et al.. (2015). SUMO modulation of protein aggregation and degradation. SHILAP Revista de lepidopterología. 2(4). 382–410. 13 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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