Francesca Garibaldi

571 citations
6 papers · 428 · h-index 6

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • MicroRNA in disease regulation 4
    • RNA modifications and cancer 2
    • Epigenetics and DNA Methylation 2
    • RNA Research and Splicing 1

Francesca Garibaldi

6 papers receiving 424 citations

Peers

Francesca Garibaldi
Comparison fields: 5 of 42
  • Hepatology 141
  • Cancer Research 142
  • Epidemiology 110
  • Molecular Biology 220
  • Cell Biology 48
Replace Andrew Harrington with:
Andrew Harrington United States
Agata Page United Kingdom
Wen-Kai Shi China
Gao‐Min Liu China
Léa Meunier France
Patricia Muñoz-Garrido Spain
Vanessa Rüsseler Germany
Hubert Y. Luu United States
Jianliang Chen China
Rongdang Fu China
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Citations per field
00.5×1.5×2.1×
Andrew Harrington · 1×
Citations per year

Countries citing papers authored by Francesca Garibaldi

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Garibaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2012228
2 201682
3 201645
4 201141
5 201324
6 20168

About Francesca Garibaldi

Francesca Garibaldi is a scholar working on Cancer Research, Molecular Biology, Hepatology, Surgery and Epidemiology, having authored 6 papers that have together received 428 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Liver physiology and pathology (3 papers), RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers), Organ Transplantation Techniques and Outcomes (1 paper), RNA Research and Splicing (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Hepatology (141 citations), Cancer Research (142 citations), Epidemiology (110 citations), Molecular Biology (220 citations) and Cell Biology (48 citations). Francesca Garibaldi has collaborated with scholars based in Italy, United States and Malaysia. Frequent co-authors include Giulia Piaggio, Aymone Gurtner, Claude A. Piantadosi, Gamze Karaca, Anna Mae Diehl, Hagir B. Suliman, Isaac S. Chan, Marzena Swiderska‐Syn, Guanhua Xie and Yuping Chen. Their work appears in journals such as Cell Death and Differentiation, Oncogene, Gastroenterology, Journal of Experimental & Clinical Cancer Research and PLoS ONE.

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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