Carla Argentini

20 total papers · 1.3k total citations
17 papers, 994 citations indexed

About

Carla Argentini is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Carla Argentini has authored 17 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Neurology. Recurrent topics in Carla Argentini's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Muscle Physiology and Disorders (5 papers) and Signaling Pathways in Disease (2 papers). Carla Argentini is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Muscle Physiology and Disorders (5 papers) and Signaling Pathways in Disease (2 papers). Carla Argentini collaborates with scholars based in Italy, United States and France. Carla Argentini's co-authors include Stefano Schiaffino, Massimo Barbierato, Stephen D. Skaper, Pietro Giusti, Laura Facci, Giorgia Pallafacchina, Carlo Reggiani, Carla Marinelli, Lars Larsson and Lars Edström and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Physiology and Scientific Reports.

In The Last Decade

Carla Argentini

17 papers receiving 975 citations

Author Peers

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

Author Last Decade Papers Cites
Carla Argentini 541 222 162 129 113 17 994
Lidia Yshii 271 0.5× 214 1.0× 228 1.4× 159 1.2× 174 1.5× 33 1.1k
Zhen Chai 548 1.0× 115 0.5× 158 1.0× 193 1.5× 310 2.7× 26 1.1k
Doris Nonner 775 1.4× 148 0.7× 113 0.7× 127 1.0× 222 2.0× 20 1.1k
Christian S. Fahlman 280 0.5× 90 0.4× 93 0.6× 51 0.4× 274 2.4× 28 915
Roshanak Razmpour 434 0.8× 75 0.3× 263 1.6× 121 0.9× 96 0.8× 17 1.1k
Jacqueline A. Bonds 443 0.8× 167 0.8× 214 1.3× 50 0.4× 100 0.9× 15 880
Alejandro Villarreal 345 0.6× 150 0.7× 285 1.8× 107 0.8× 159 1.4× 27 962
P. Alm 269 0.5× 263 1.2× 89 0.5× 55 0.4× 280 2.5× 35 1.1k
Maria Cristina Guerra 535 1.0× 138 0.6× 138 0.9× 144 1.1× 100 0.9× 19 973
Kevin G. Burfeind 266 0.5× 325 1.5× 82 0.5× 208 1.6× 85 0.8× 23 915

Countries citing papers authored by Carla Argentini

Since Specialization
Citations

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

Fields of papers citing papers by Carla Argentini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carla Argentini

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