Francesca Viti

51 total papers · 2.5k total citations
33 papers, 2.0k citations indexed

About

Francesca Viti is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, Francesca Viti has authored 33 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Molecular Biology and 10 papers in Immunology and Allergy. Recurrent topics in Francesca Viti's work include Monoclonal and Polyclonal Antibodies Research (17 papers), Glycosylation and Glycoproteins Research (11 papers) and Cell Adhesion Molecules Research (10 papers). Francesca Viti is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (17 papers), Glycosylation and Glycoproteins Research (11 papers) and Cell Adhesion Molecules Research (10 papers). Francesca Viti collaborates with scholars based in Italy, Switzerland and United States. Francesca Viti's co-authors include Dario Neri, Luciano Zardi, Lorenzo Tarli, Paolo Neri, Leonardo Giovannoni, Barbara Carnemolla, Alessandro Pini, Annalisa Santucci, Patrizia Castellani and Fredrik Nilsson and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Nature Biotechnology.

In The Last Decade

Francesca Viti

33 papers receiving 1.9k 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 Viti 1.2k 1.2k 435 434 344 33 2.0k
Leonardo Giovannoni 1.1k 0.8× 749 0.6× 364 0.8× 941 2.2× 717 2.1× 47 1.9k
Julie L. Sutcliffe 1.1k 0.9× 913 0.7× 488 1.1× 668 1.5× 251 0.7× 65 2.4k
Charles N. Pegram 909 0.7× 855 0.7× 174 0.4× 830 1.9× 521 1.5× 46 2.3k
Claire E. Kotts 1.7k 1.3× 1.5k 1.3× 126 0.3× 1.4k 3.2× 399 1.2× 37 2.8k
Peter Nollau 537 0.4× 1.2k 1.0× 358 0.8× 823 1.9× 395 1.1× 47 2.5k
Marina Cardó‐Vila 429 0.3× 999 0.8× 109 0.3× 375 0.9× 344 1.0× 31 1.7k
Hans W. Christinger 660 0.5× 2.0k 1.7× 215 0.5× 501 1.2× 425 1.2× 15 2.6k
Kalyani Penta 341 0.3× 953 0.8× 259 0.6× 485 1.1× 271 0.8× 21 1.6k
Alessandra Leprini 602 0.5× 756 0.6× 719 1.7× 330 0.8× 209 0.6× 20 1.6k
Stefania Lanzardo 589 0.5× 913 0.7× 134 0.3× 512 1.2× 578 1.7× 48 2.4k

Countries citing papers authored by Francesca Viti

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Viti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Viti

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