Paola Vacca

91 papers and 4.2k indexed citations i.

About

Paola Vacca is a scholar working on Immunology, Oncology and Reproductive Medicine. According to data from OpenAlex, Paola Vacca has authored 91 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Immunology, 27 papers in Oncology and 11 papers in Reproductive Medicine. Recurrent topics in Paola Vacca’s work include Immune Cell Function and Interaction (63 papers), IL-33, ST2, and ILC Pathways (22 papers) and Reproductive System and Pregnancy (22 papers). Paola Vacca is often cited by papers focused on Immune Cell Function and Interaction (63 papers), IL-33, ST2, and ILC Pathways (22 papers) and Reproductive System and Pregnancy (22 papers). Paola Vacca collaborates with scholars based in Italy, France and United States. Paola Vacca's co-authors include Lorenzo Moretta, Maria Cristina Mingari, Enrico Munari, Nicola Tumino, Elisa Montaldo, Genny Del Zotto, Simona Sivori, Linda Quatrini, Francesca Romana Mariotti and Alessandro Moretta and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Co-authorship network of co-authors of Paola Vacca i

Fields of papers citing papers by Paola Vacca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paola Vacca

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025