Federica Perrone

13.1k total citations · 1 hit paper
235 papers, 7.9k citations indexed

About

Federica Perrone is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Federica Perrone has authored 235 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Oncology, 108 papers in Pulmonary and Respiratory Medicine and 59 papers in Surgery. Recurrent topics in Federica Perrone's work include Lung Cancer Treatments and Mutations (54 papers), Colorectal Cancer Treatments and Studies (43 papers) and Cancer Genomics and Diagnostics (27 papers). Federica Perrone is often cited by papers focused on Lung Cancer Treatments and Mutations (54 papers), Colorectal Cancer Treatments and Studies (43 papers) and Cancer Genomics and Diagnostics (27 papers). Federica Perrone collaborates with scholars based in Italy, United States and Malaysia. Federica Perrone's co-authors include Silvana Pilotti, Marco A. Pierotti, Massimo Di Maïo, Lisa Licitra, Paolo Bossi, Laura D. Locati, Pasquale Quattrone, Luigi Mariani, Elena Tamborini and Cesare Gridelli and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Federica Perrone

231 papers receiving 7.8k citations

Hit Papers

High-Risk Human Papillomavirus Affects Prognosis in Patie... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers

Federica Perrone
Comparison fields: 5 of 129
  • Oncology 3.6k
  • Pulmonary and Respiratory Medicine 2.7k
  • Molecular Biology 2.1k
  • Surgery 2.0k
  • Cancer Research 1.3k
Replace Bin S. Teh with:
Bin S. Teh United States
Shunji Takahashi Japan
Didier Cupissol France
Jürgen Dunst Germany
Simion I. Chiosea United States
Véronique Mosseri France
Michael Bamberg Germany
Li Zhang China
M. Piérart France
D. Azria France
Bin S. Teh United States View profile →
Citations per field, relative to Federica Perrone
Federica Perrone · 1×
Citations per year, relative to Federica Perrone
Federica Perrone · 1×

Countries citing papers authored by Federica Perrone

Since Specialization
Citations

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

Fields of papers citing papers by Federica Perrone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Perrone

This figure shows the co-authorship network connecting the top 25 collaborators of Federica Perrone. A scholar is included among the top collaborators of Federica Perrone 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 Federica Perrone. Federica Perrone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 1
4 7
5 1
6 5
7 3
8 12
9 1
10 40
11 12
12 10
13 78
14 53
15 6
16 132
17 114
18 57
19 14
20 44

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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