Riccardo Ferro

531 citations
13 papers · 362 indexed · h-index 10
    • Pancreatic and Hepatic Oncology Research 4
    • Cancer-related Molecular Pathways 3
    • Drug Transport and Resistance Mechanisms 2
    • PI3K/AKT/mTOR signaling in cancer 3
    • Protein Kinase Regulation and GTPase Signaling 2
    • Receptor Mechanisms and Signaling 2
    • Sphingolipid Metabolism and Signaling 2
    • Cholesterol and Lipid Metabolism 1

Riccardo Ferro

13 papers receiving 357 citations

Peers

Riccardo Ferro
Comparison fields: 5 of 64
  • Pharmacology 86
  • Cancer Research 63
  • Oncology 95
  • Molecular Biology 188
  • Cell Biology 36
Replace Takayuki Tsujioka with:
Takayuki Tsujioka Japan
Rodolfo Daniel Cervantes‐Villagrana Mexico
Zhengzheng Shan China
Héloïse M. Leclair France
Zhijian Ma China
Younho Han South Korea
Zongsheng Yin China
Dong Guo China
Masaichi Miwa Japan
Riccardo Ferro relative to Takayuki Tsujioka Japan Takayuki Tsujioka's profile →
Citations per field
00.5×3.6×
Takayuki Tsujioka · 1×
Citations per year

Countries citing papers authored by Riccardo Ferro

Since Specialization
Citations

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

Fields of papers citing papers by Riccardo Ferro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 202211
2 20229
3 20221
4 201923
5 201915
6 201886
7 20181
8 201625
9 201626
10 201552
11 201552
12 201431
13 201430

About Riccardo Ferro

Riccardo Ferro is a scholar working on Oncology, Physiology and Cancer Research, having authored 13 papers that have together received 362 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (4 papers), Cancer-related Molecular Pathways (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Receptor Mechanisms and Signaling (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Pharmacology (86 citations), Cancer Research (63 citations) and Oncology (95 citations). Riccardo Ferro has collaborated with scholars based in United Kingdom, Australia and Italy. Frequent co-authors include Marco Falasca, Tania Maffucci, Rossano Lattanzio, Gianluca Sala, Giovanna Chiorino, Aleksandra Adamska, Vincenzo De Laurenzi, Charlotte E. Edling, Mauro Piantelli and Guosu Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research and Oncogene.

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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