Giovanna Mulas

62 total papers · 1.5k total citations
33 papers, 1.2k citations indexed

About

Giovanna Mulas is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Giovanna Mulas has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 9 papers in Neurology and 8 papers in Molecular Biology. Recurrent topics in Giovanna Mulas's work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Giovanna Mulas is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Giovanna Mulas collaborates with scholars based in Italy, United States and United Kingdom. Giovanna Mulas's co-authors include Anna R. Carta, Saturnino Spiga, Valerie Joers, Malú G. Tansey, Augusta Pisanu, Daniela Lecca, Gabriella Simbula, Jadwiga Wardas, Marco Diana and Laura Boi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Giovanna Mulas

32 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Giovanna Mulas	503	434	376	298	215	33	1.2k
Francisco Ros‐Bernal	305 0.6×	414 1.0×	263 0.7×	298 1.0×	208 1.0×	37	1.2k
Emiliano Fernández‐Villalba	428 0.9×	469 1.1×	503 1.3×	320 1.1×	208 1.0×	48	1.2k
Eugene Bok	355 0.7×	444 1.0×	345 0.9×	366 1.2×	245 1.1×	26	1.2k
Randy L. Hunter	480 1.0×	500 1.2×	557 1.5×	442 1.5×	218 1.0×	19	1.4k
Wei Dong Le	483 1.0×	287 0.7×	426 1.1×	334 1.1×	154 0.7×	20	1.1k
Mei Yu	439 0.9×	265 0.6×	264 0.7×	442 1.5×	135 0.6×	39	1.1k
Antonio Dominguez‐Meijide	416 0.8×	283 0.7×	442 1.2×	397 1.3×	295 1.4×	27	1.1k
James S. Meabon	437 0.9×	396 0.9×	428 1.1×	484 1.6×	365 1.7×	29	1.5k
Antonio de Iure	376 0.7×	304 0.7×	227 0.6×	234 0.8×	167 0.8×	25	969
So-Yoon Won	305 0.6×	295 0.7×	261 0.7×	361 1.2×	239 1.1×	34	1.2k

Countries citing papers authored by Giovanna Mulas

Since Specialization

Citations

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

Fields of papers citing papers by Giovanna Mulas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanna Mulas

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

All Works

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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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