Francesca Rocchio

601 citations
10 papers · 319 · h-index 8

Impact in

    • Neuroinflammation and Neurodegeneration Mechanisms
    • Ubiquitin and proteasome pathways
    • DNA Repair Mechanisms
    • Protein Degradation and Inhibitors

Papers in

    • DNA Repair Mechanisms 1
    • Ubiquitin and proteasome pathways 1
    • S100 Proteins and Annexins 1
    • Protein Degradation and Inhibitors 1
    • Neuroinflammation and Neurodegeneration Mechanisms 3

Francesca Rocchio

10 papers receiving 318 citations

Peers

Francesca Rocchio
Comparison fields: 5 of 50
  • Neurology 43
  • Molecular Biology 228
  • Oncology 66
  • Hematology 25
  • Cell Biology 35
Replace V Sai Chaluvadi with:
V Sai Chaluvadi United States
Satoshi Yoshimura United States
Harutyun Melkonyan Germany
Maarten Dewilde Belgium
Ashley Mackey United States
Marta Fernández Spain
Kimiyoshi Arimura Japan
Wendy K. Roberts United States
Alexandra Provost France
Kang-Yong Zhu China
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Citations per field
00.5×1.5×2.1×
V Sai Chaluvadi · 1×
Citations per year

Countries citing papers authored by Francesca Rocchio

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Rocchio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2015162
2 201930
3 202030
4 202226
5 201725
6 201813
7 202012
8 201612
9 20225
10 20234

About Francesca Rocchio

Francesca Rocchio is a scholar working on Molecular Biology, Neurology, Physiology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 319 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Acute Myeloid Leukemia Research (1 paper), DNA Repair Mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper), S100 Proteins and Annexins (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Neurology (43 citations), Molecular Biology (228 citations), Oncology (66 citations), Hematology (25 citations) and Cell Biology (35 citations). Francesca Rocchio has collaborated with scholars based in Italy, Switzerland and South Africa. Frequent co-authors include Lorenza Penengo, Marco Gatti, Ruedi Aebersold, Alessio Maiolica, Dmitry Lim, Laura Tapella, Pier Luigi Canonico, Armando A. Genazzani, Mariagrazia Grilli and Federico Alessandro Ruffinatti. Their work appears in journals such as Cell Death and Disease, Frontiers in Oncology, Circulation Arrhythmia and Electrophysiology, Cell Reports and Diabetes/Metabolism Research and Reviews.

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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