Grazia Annesi

89 papers and 2.6k indexed citations i.

About

Grazia Annesi is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Grazia Annesi has authored 89 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Neurology, 41 papers in Cellular and Molecular Neuroscience and 33 papers in Molecular Biology. Recurrent topics in Grazia Annesi’s work include Parkinson's Disease Mechanisms and Treatments (36 papers), Neurological disorders and treatments (20 papers) and Genetic Neurodegenerative Diseases (16 papers). Grazia Annesi is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (36 papers), Neurological disorders and treatments (20 papers) and Genetic Neurodegenerative Diseases (16 papers). Grazia Annesi collaborates with scholars based in Italy, United States and Canada. Grazia Annesi's co-authors include Aldo Quattrone, Antonio Gambardella, Ferdinanda Annesi, Patrizia Tarantino, Giuseppe Nicoletti, Enzo Wanke, Donatella Civitelli, Mario Zappia, Elvira Valeria De Marco and Sara Carrideo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Grazia Annesi i

Fields of papers citing papers by Grazia Annesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Grazia Annesi

Since Specialization
Citations

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

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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