Daniela Galimberti

928 total papers · 48.9k total citations
354 papers, 11.6k citations indexed

About

Daniela Galimberti is a scholar working on Physiology, Neurology and Molecular Biology. According to data from OpenAlex, Daniela Galimberti has authored 354 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Physiology, 104 papers in Neurology and 102 papers in Molecular Biology. Recurrent topics in Daniela Galimberti's work include Alzheimer's disease research and treatments (115 papers), Amyotrophic Lateral Sclerosis Research (74 papers) and Dementia and Cognitive Impairment Research (44 papers). Daniela Galimberti is often cited by papers focused on Alzheimer's disease research and treatments (115 papers), Amyotrophic Lateral Sclerosis Research (74 papers) and Dementia and Cognitive Impairment Research (44 papers). Daniela Galimberti collaborates with scholars based in Italy, United States and United Kingdom. Daniela Galimberti's co-authors include Elio Scarpini, Chiara Fenoglio, Nereo Bresolin, María Serpente, Laura Ghezzi, E. Venturelli, Milena De Riz, Andrea Arighi, Roberto Ratiglia and Edoardo Villani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daniela Galimberti

348 papers receiving 11.4k citations

Hit Papers

Salivary biomarkers: nove... 2023 2026 2024 2023 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Daniela Galimberti 3.8k 3.5k 2.7k 2.1k 1.5k 354 11.6k
Elio Scarpini 4.1k 1.1× 3.8k 1.1× 3.2k 1.2× 2.2k 1.0× 1.7k 1.1× 369 12.9k
Ronald L. Hamilton 3.3k 0.9× 3.9k 1.1× 1.3k 0.5× 4.4k 2.1× 1.9k 1.2× 200 13.3k
Margaret A. Pericak‐Vance 4.8k 1.3× 7.0k 2.0× 2.0k 0.7× 2.9k 1.4× 1.5k 1.0× 337 18.3k
Teng Jiang 3.4k 0.9× 3.4k 1.0× 2.6k 1.0× 1.1k 0.5× 1.5k 1.0× 215 10.7k
M. Ilyas Kamboh 3.2k 0.8× 3.2k 0.9× 679 0.3× 1.8k 0.8× 1.5k 1.0× 345 13.4k
Marinus A. Blankenstein 3.1k 0.8× 2.6k 0.8× 1.1k 0.4× 1.1k 0.5× 2.4k 1.5× 306 12.1k
Annemieke Kavelaars 2.7k 0.7× 3.1k 0.9× 1.2k 0.5× 770 0.4× 1.3k 0.8× 248 13.8k
Suzanne M. de la Monte 7.0k 1.8× 6.3k 1.8× 2.4k 0.9× 1.7k 0.8× 756 0.5× 289 18.5k
Marcel M. Verbeek 5.1k 1.3× 4.1k 1.2× 2.2k 0.8× 4.3k 2.1× 2.2k 1.4× 293 12.8k
Linda J. Van Eldik 5.9k 1.5× 8.3k 2.4× 4.7k 1.8× 2.5k 1.2× 1.6k 1.1× 225 17.0k

Countries citing papers authored by Daniela Galimberti

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Galimberti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Galimberti

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Galimberti. A scholar is included among the top collaborators of Daniela Galimberti 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 Daniela Galimberti. Daniela Galimberti 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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