Francesca Capotosti

30 total papers · 1.2k total citations
17 papers, 807 citations indexed

About

Francesca Capotosti is a scholar working on Physiology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Francesca Capotosti has authored 17 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Neurology. Recurrent topics in Francesca Capotosti's work include Alzheimer's disease research and treatments (9 papers), Neuroscience and Neuropharmacology Research (5 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Francesca Capotosti is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Neuroscience and Neuropharmacology Research (5 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Francesca Capotosti collaborates with scholars based in Switzerland, United States and Germany. Francesca Capotosti's co-authors include Winship Herr, Stéphanie Hugues, Melody A. Swartz, Yong Cai, Jingji Jin, Patrice Waridel, Ronald Conaway, Joan Conaway, Vidya Raghavan and Tobias Suter and has published in prestigious journals such as Cell, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Francesca Capotosti

16 papers receiving 799 citations

Author Peers

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

Author Last Decade Papers Cites
Francesca Capotosti 386 286 225 179 97 17 807
In-Hoo Kim 600 1.6× 234 0.8× 193 0.9× 95 0.5× 55 0.6× 22 1.0k
Guichao Zeng 796 2.1× 271 0.9× 74 0.3× 112 0.6× 81 0.8× 27 913
Christine Huppertz 479 1.2× 153 0.5× 124 0.6× 141 0.8× 91 0.9× 20 906
Bert Grobben 460 1.2× 122 0.4× 100 0.4× 52 0.3× 60 0.6× 15 975
Sarah E. Poplawski 474 1.2× 269 0.9× 273 1.2× 58 0.3× 111 1.1× 14 850
Jens Niewoehner 388 1.0× 142 0.5× 158 0.7× 247 1.4× 14 0.1× 18 951
Marc Bigaud 358 0.9× 229 0.8× 68 0.3× 113 0.6× 41 0.4× 29 812
Michael Hedvat 465 1.2× 120 0.4× 315 1.4× 63 0.4× 20 0.2× 16 948
Christopher Fisher 484 1.3× 61 0.2× 75 0.3× 387 2.2× 51 0.5× 30 989
Catarina Grandela 698 1.8× 136 0.5× 216 1.0× 45 0.3× 60 0.6× 20 909

Countries citing papers authored by Francesca Capotosti

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Capotosti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Capotosti

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