Francesca Castoldi

51 total papers · 5.5k total citations
22 papers, 898 citations indexed

About

Francesca Castoldi is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Francesca Castoldi has authored 22 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 6 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Francesca Castoldi's work include Autophagy in Disease and Therapy (8 papers), Cannabis and Cannabinoid Research (4 papers) and CAR-T cell therapy research (3 papers). Francesca Castoldi is often cited by papers focused on Autophagy in Disease and Therapy (8 papers), Cannabis and Cannabinoid Research (4 papers) and CAR-T cell therapy research (3 papers). Francesca Castoldi collaborates with scholars based in France, Sweden and Spain. Francesca Castoldi's co-authors include Guido Kroemer, Federico Pietrocola, Laurence Zitvogel, Erika Vacchelli, Jonathan Pol, Alexander Eggermont, Radek Špíšek, Lorenzo Galluzzi, Jitka Fučíková and Isabelle Cremer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cardiovascular Research and Autophagy.

In The Last Decade

Francesca Castoldi

22 papers receiving 885 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 Castoldi 313 311 285 219 108 22 898
Daohong Chen 184 0.6× 268 0.9× 263 0.9× 192 0.9× 75 0.7× 28 850
Yasuyo Urasaki 226 0.7× 407 1.3× 174 0.6× 131 0.6× 99 0.9× 27 958
Sarra Setrerrahmane 213 0.7× 401 1.3× 162 0.6× 128 0.6× 127 1.2× 15 987
Ana‐Maria Gan 143 0.5× 207 0.7× 298 1.0× 179 0.8× 109 1.0× 29 749
Mei ElGindi 204 0.7× 193 0.6× 208 0.7× 320 1.5× 100 0.9× 15 824
Anne Bessard 256 0.8× 343 1.1× 208 0.7× 115 0.5× 40 0.4× 28 902
Min Feng 238 0.8× 249 0.8× 173 0.6× 137 0.6× 42 0.4× 30 792
Lorna Tolentino 209 0.7× 257 0.8× 501 1.8× 253 1.2× 188 1.7× 20 988
Ihtzaz Ahmed Malik 150 0.5× 224 0.7× 279 1.0× 176 0.8× 75 0.7× 38 944
Monika Niehof 204 0.7× 411 1.3× 174 0.6× 152 0.7× 82 0.8× 29 943

Countries citing papers authored by Francesca Castoldi

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Castoldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Castoldi

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