Federica Maione

2.6k citations
40 papers · 1.6k indexed · h-index 22

Federica Maione

40 papers receiving 1.6k citations

Peers

Federica Maione
Comparison fields: 5 of 92
  • Cancer Research 404
  • Cellular and Molecular Neuroscience 441
  • Molecular Biology 1.1k
  • Oncology 401
  • Physiology 51
Replace Gregory S. Robinson with:
Gregory S. Robinson United States
Dominique B. Hoelzinger United States
Raymond R. Mattingly United States
Michael I. Dorrell United States
Christine Tan United States
Jill Wykosky United States
Shahin Emami France
Venkata Ramesh Dasari United States
Gianluca Sala Italy
Carsten Hagemann Germany
Federica Maione relative to Gregory S. Robinson United States Gregory S. Robinson's profile →
Citations per field
00.5×2.8×
Gregory S. Robinson · 1×
Citations per year

Countries citing papers authored by Federica Maione

Since Specialization
Citations

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

Fields of papers citing papers by Federica Maione

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 202215
3 20228
4 202010
5 202058
6 202046
7 20209
8 201842
9 2016100
10 201640
11 201661
12 201597
13 201563
14 201449
15 201351
16 201243
17 2012149
18 201276
19 201050
20 2009183

About Federica Maione

Federica Maione is a scholar working on Cancer Research, Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology and Oncology, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (15 papers), Axon Guidance and Neuronal Signaling (11 papers), Cancer, Hypoxia, and Metabolism (9 papers), RNA Interference and Gene Delivery (3 papers), Cancer Cells and Metastasis (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Zebrafish Biomedical Research Applications (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). The work is most often cited by research in Cancer Research (404 citations), Cellular and Molecular Neuroscience (441 citations), Molecular Biology (1.1k citations), Oncology (401 citations) and Physiology (51 citations). Federica Maione has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Enrico Giraudo, Federico Bussolino, Guido Serini, Mauro Giacca, Lorena Zentilin, Claudia Meda, Fabiola Molla, Roberto Latini, Giorgio Seano and Donatella Valdembri. Their work appears in journals such as Cancer Research, Scientific Reports, Molecular & Cellular Proteomics, Journal of Clinical Investigation and Angiogenesis.

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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