Federica Piccioni

12.2k citations
49 papers · 3.0k indexed · 2 hit papers · h-index 27

Federica Piccioni

46 papers receiving 2.9k citations

Hit Papers

Optimized libraries for CRISPR-Cas9 genetic screens with ...5052014202620182022100200300400500

Peers

Federica Piccioni
Comparison fields: 5 of 116
  • Cell Biology 608
  • Molecular Biology 2.1k
  • Aging 52
  • Cancer Research 387
  • Oncology 677
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

The 25 scholars most cited alongside Federica Piccioni, 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 Piccioni Line = papers co-authored together Federica Piccioni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20235
3 20228
4 20229
5 202113
6 202177
7 202090
8 202013
9 201930
10 201926
11 201999
12 201843
13 201862
14 201647
15 2015130
16
KRAS and YAP1 Converge to Regulate EMT and Tumor Survivalbreakdown →
2014573
17 201292
18 200517
19 200349
20 200127

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), RNA Research and Splicing (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cancer Genomics and Diagnostics (4 papers), RNA and protein synthesis mechanisms (4 papers), Lung Cancer Treatments and Mutations (4 papers) and Advanced Breast Cancer Therapies (4 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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