Gabriella De Renzis

24 papers and 360 indexed citations i.

About

Gabriella De Renzis is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gabriella De Renzis has authored 24 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Immunology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gabriella De Renzis’s work include Protease and Inhibitor Mechanisms (4 papers), Nicotinic Acetylcholine Receptors Study (4 papers) and Muscle Physiology and Disorders (4 papers). Gabriella De Renzis is often cited by papers focused on Protease and Inhibitor Mechanisms (4 papers), Nicotinic Acetylcholine Receptors Study (4 papers) and Muscle Physiology and Disorders (4 papers). Gabriella De Renzis collaborates with scholars based in Italy, United States and France. Gabriella De Renzis's co-authors include N. Miani, Laura Fumagalli, Fabrizio Michetti, Lorenzo Fumagalli, S. Correr, Rita Businaro, P. Payan, Franca Ascoli, J.P. Girard and Evandro Fioretti and has published in prestigious journals such as Brain Research, Neuroscience and Journal of Neurochemistry.

In The Last Decade

Co-authorship network of co-authors of Gabriella De Renzis i

Fields of papers citing papers by Gabriella De Renzis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriella De Renzis. 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 Gabriella De Renzis. The network helps show where Gabriella De Renzis may publish in the future.

Countries citing papers authored by Gabriella De Renzis

Since Specialization
Citations

This map shows the geographic impact of Gabriella De Renzis'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 Gabriella De Renzis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriella De Renzis 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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