Federica Cavallo

13.4k citations
256 papers · 9.8k indexed · 1 hit paper · h-index 54

Federica Cavallo

249 papers receiving 9.6k citations

Hit Papers

A novel transforming protein (SHC) with an SH2 domain is ...1.2k19922026200320142505007501000

Peers

Federica Cavallo
Comparison fields: 5 of 180
  • Immunology 4.5k
  • Oncology 3.6k
  • Biotechnology 757
  • Cancer Research 988
  • Immunology and Allergy 368
Replace William A. Robinson with:
William A. Robinson United States
Péter Lengyel United States
Alexander Eggermont Netherlands
Keith L. Knutson United States
Olivera J. Finn United States
Özlem Türeci Germany
Barbara Seliger Germany
Alessandro D. Santin United States
Karin E. de Visser Netherlands
Michael A. Bookman United States
Federica Cavallo relative to William A. Robinson United States William A. Robinson's profile →
Citations per field
00.5×3.8×
William A. Robinson · 1×
Citations per year

Countries citing papers authored by Federica Cavallo

Since Specialization
Citations

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

Fields of papers citing papers by Federica Cavallo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Federica Cavallo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Federica Cavallo Line = papers co-authored together Federica Cavallo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202414
3 202316
4 20221
5 202122
6 20218
7 202119
8 202051
9 20205
10 201939
11 201829
12 201833
13 2015103
14 201426
15 201460
16 2010124
17 200830
18
Dansero E., Di Meglio G., Donini E., Governa F. (a cura di), Geografia, società, politica. La ricerca in geografia come impegno sociale, Milano, Franco Angeli, 2007
20080
19
L-NAME PREVENTS EEG AND BEHAVIORAL ALTERATIONS INDUCED BY MORPHINE AND DELTORPHIN II IN THE RABBIT.
20051
20 20047

About Federica Cavallo

Federica Cavallo is a scholar working on Immunology, Biotechnology and Oncology, having authored 256 papers that have together received 9.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (114 papers), Virus-based gene therapy research (40 papers), Monoclonal and Polyclonal Antibodies Research (36 papers), Cancer Immunotherapy and Biomarkers (31 papers), Immune Cell Function and Interaction (26 papers), Cancer Research and Treatments (22 papers), CAR-T cell therapy research (21 papers) and Glycosylation and Glycoproteins Research (18 papers). The work is most often cited by research in Immunology (4.5k citations), Oncology (3.6k citations) and Biotechnology (757 citations). Federica Cavallo has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Guido Forni, Pier‐Luigi Lollini, Piero Musiani, Patrizia Nanni, Elena Quaglino, Laura Conti, Mirella Giovarelli, Carla De Giovanni, Mario P. Colombo and Luisa Lanfrancone. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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