Federica Piccioni

12.2k citations
49 papers · 3.0k indexed · 2 hit papers · h-index 27
Topics
CRISPR and Genetic Engineering (10 papers)Melanoma and MAPK Pathways (7 papers)RNA Research and Splicing (5 papers)

In The Last Decade

Federica Piccioni

46 papers receiving 2.9k citations

Hit Papers

KRAS and YAP1 Converge to Regulate EMT and Tumor Survival201420262018202220142018100200300400500

Peers

Federica Piccioni
Comparison fields: 5 of 116
  • Molecular Biology 2.1k
  • Oncology 677
  • Cell Biology 608
  • Cancer Research 387
  • Pulmonary and Respiratory Medicine 326
Replace Laura M. Selfors with:
Laura M. Selfors United States
Douglas A. Rubinson United States
Guido Posern Germany
Christopher Winter United States
Bas Ponsioen Netherlands
Fuad Bahram Sweden
Massimiliano Garrè Italy
Fred E. Indig United States
Dorre A. Grueneberg United States
Federica Piccioni relative to Laura M. Selfors United States Laura M. Selfors's profile →
Citations per field
00.5×1.5×
Laura M. Selfors · 1×
Citations per year

Countries citing papers authored by Federica Piccioni

Since Specialization
Citations

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

Fields of papers citing papers by Federica Piccioni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Piccioni

This figure shows the co-authorship network connecting the top 25 collaborators of Federica Piccioni. A scholar is included among the top collaborators of Federica Piccioni 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 Piccioni. Federica Piccioni 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
#WorkIndexed citations
1 4
2 5
3 8
4 9
5 13
6 77
7 90
8 13
9 30
10 26
11 99
12 43
13 62
14 47
15 130
16
KRAS and YAP1 Converge to Regulate EMT and Tumor Survivalbreakdown →
573
17 92
18 17
19 49
20 27

About Federica Piccioni

Federica Piccioni is a scholar working on Molecular Biology, Biophysics and Cancer Research, having authored 49 papers that have together received 3.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), Melanoma and MAPK Pathways (7 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Cell Biology (608 citations), Molecular Biology (2.1k citations) and Aging (52 citations). Federica Piccioni has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include David E. Root, Amy Goodale, John G. Doench, William C. Hahn, Cory M. Johannessen, Levi A. Garraway, Katherine Donovan, Christine Strand, Ruth E. Hanna and Kendall R Sanson. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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