Francesca Cecere

22 total papers · 1.1k total citations
16 papers, 742 citations indexed

About

Francesca Cecere is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Francesca Cecere has authored 16 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Immunology and 5 papers in Oncology. Recurrent topics in Francesca Cecere's work include Immune Cell Function and Interaction (8 papers), CAR-T cell therapy research (4 papers) and T-cell and B-cell Immunology (4 papers). Francesca Cecere is often cited by papers focused on Immune Cell Function and Interaction (8 papers), CAR-T cell therapy research (4 papers) and T-cell and B-cell Immunology (4 papers). Francesca Cecere collaborates with scholars based in Italy, Germany and Switzerland. Francesca Cecere's co-authors include Angela Santoni, Alessandra Zingoni, Alessandra Soriani, Cinzia Fionda, Marco Cippitelli, Maria Rosaria Ricciardi, Maria Teresa Petrucci, Cristina Cerboni, Maria Luisa Iannitto and Elisabetta Vulpis and has published in prestigious journals such as Blood, The Journal of Immunology and Biomaterials.

In The Last Decade

Francesca Cecere

16 papers receiving 736 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 Cecere 375 297 183 109 96 16 742
Almudena García-Ortiz 319 0.9× 234 0.8× 268 1.5× 145 1.3× 72 0.8× 16 656
Orna Nadiv 223 0.6× 273 0.9× 109 0.6× 53 0.5× 108 1.1× 14 774
Victor W. Ho 385 1.0× 358 1.2× 171 0.9× 32 0.3× 100 1.0× 17 806
R. Gabathuler 161 0.4× 388 1.3× 182 1.0× 84 0.8× 63 0.7× 13 762
Andrea C. Eitelhuber 393 1.0× 459 1.5× 184 1.0× 110 1.0× 36 0.4× 12 850
Umberto Restuccia 150 0.4× 416 1.4× 131 0.7× 63 0.6× 66 0.7× 14 677
Jabari Brown 177 0.5× 383 1.3× 141 0.8× 61 0.6× 81 0.8× 10 716
Cheryl A. Doughty 289 0.8× 559 1.9× 159 0.9× 33 0.3× 82 0.9× 11 903
Zhi-Chun Ding 360 1.0× 249 0.8× 326 1.8× 54 0.5× 24 0.3× 14 749
Tamotsu Goto 128 0.3× 405 1.4× 89 0.5× 52 0.5× 76 0.8× 15 677

Countries citing papers authored by Francesca Cecere

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Cecere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Cecere

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