Clara Di Vito

74 total papers · 1.9k total citations
38 papers, 1.4k citations indexed

About

Clara Di Vito is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Clara Di Vito has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 15 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Clara Di Vito's work include Immune Cell Function and Interaction (12 papers), Sphingolipid Metabolism and Signaling (6 papers) and T-cell and B-cell Immunology (6 papers). Clara Di Vito is often cited by papers focused on Immune Cell Function and Interaction (12 papers), Sphingolipid Metabolism and Signaling (6 papers) and T-cell and B-cell Immunology (6 papers). Clara Di Vito collaborates with scholars based in Italy, United States and Switzerland. Clara Di Vito's co-authors include Domenico Mavilio, Joanna Mikulak, Elisa Zaghi, Laura Riboni, Ferdinando Oriolo, Loubna Abdel Hadi, Giovanni Marfia, Emanuela Marcenaro, Stefania Elena Navone and Rolando Campanella and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and Journal of Leukocyte Biology.

In The Last Decade

Clara Di Vito

37 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Clara Di Vito 634 393 305 139 135 38 1.4k
Gabriel Criado 771 1.2× 483 1.2× 287 0.9× 81 0.6× 115 0.9× 48 1.6k
Marlon P. Quinones 700 1.1× 376 1.0× 449 1.5× 186 1.3× 209 1.5× 27 1.7k
Yoshishige Miyabe 425 0.7× 359 0.9× 207 0.7× 126 0.9× 84 0.6× 42 1.2k
Anne Rensing‐Ehl 859 1.4× 603 1.5× 286 0.9× 127 0.9× 133 1.0× 27 1.7k
Alvin W. Martin 437 0.7× 312 0.8× 528 1.7× 133 1.0× 115 0.9× 44 1.5k
Robert G. Collins 539 0.9× 259 0.7× 209 0.7× 225 1.6× 119 0.9× 27 1.3k
Melanie C. Ruzek 854 1.3× 501 1.3× 221 0.7× 317 2.3× 133 1.0× 47 1.7k
Regina Resta 347 0.5× 376 1.0× 278 0.9× 142 1.0× 73 0.5× 22 1.5k
Axel Weber 559 0.9× 706 1.8× 216 0.7× 165 1.2× 70 0.5× 25 1.6k
Valerie Corrigall 766 1.2× 492 1.3× 239 0.8× 147 1.1× 160 1.2× 49 1.8k

Countries citing papers authored by Clara Di Vito

Since Specialization
Citations

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

Fields of papers citing papers by Clara Di Vito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clara Di Vito. 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 Clara Di Vito. The network helps show where Clara Di Vito may publish in the future.

Co-authorship network of co-authors of Clara Di Vito

This figure shows the co-authorship network connecting the top 25 collaborators of Clara Di Vito. A scholar is included among the top collaborators of Clara Di Vito 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 Clara Di Vito. Clara Di Vito 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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2026