Francesca Ronca

1.3k citations
40 papers · 1.1k · h-index 18

Impact in

    • Conservation Techniques and Studies
    • Proteoglycans and glycosaminoglycans research

Papers in

Francesca Ronca

39 papers receiving 1.1k citations

Peers

Francesca Ronca
Comparison fields: 5 of 111
  • Conservation 63
  • Cell Biology 235
  • Developmental Neuroscience 41
  • Equine 14
  • Rheumatology 120
Replace Mercedes A. Paz with:
Mercedes A. Paz United States
Hua Gao China
Zihua Chen China
Matilda H.‐C. Sheng United States
Takeshi Teramura Japan
Rosella Tomanin Italy
Zhongyan Zhang China
Huimin Wang China
Shing‐Jyh Chang Taiwan
Francesca Ronca relative to Mercedes A. Paz United States Mercedes A. Paz's profile →
Citations per field
00.5×10×20×31.5×
Mercedes A. Paz · 1×
Citations per year

Countries citing papers authored by Francesca Ronca

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Ronca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998255
2 2001115
3 201595
4 201584
5 199755
6 201541
7 199438
8 200337
9 201136
10 200434
11 199933
12 199931
13 200230
14 199724
15 200224
16 201521
17 199419
18 199418
19 202316
20
Protection of beta-thalassaemic erythrocytes from oxidative stress by propionyl carnitine.
199415

About Francesca Ronca

Francesca Ronca is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, Cell Biology and Pathology and Forensic Medicine, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ion channel regulation and function (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), Erythrocyte Function and Pathophysiology (3 papers), Cancer-related Molecular Pathways (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Cultural Heritage Materials Analysis (3 papers), Mitochondrial Function and Pathology (3 papers) and Viral Infections and Immunology Research (3 papers). The work is most often cited by research in Conservation (63 citations), Cell Biology (235 citations), Developmental Neuroscience (41 citations), Equine (14 citations) and Rheumatology (120 citations). Francesca Ronca has collaborated with scholars based in Italy, United States and Singapore. Frequent co-authors include L. Palmieri, G. Ronca, Richard U. Margolis, Victor C. Yu, Volker Paech, Stefania Moscato, Antonio Raggi, Shing Leng Chan, Virgilio Mattoli and Gianni Ciofani. Their work appears in journals such as Journal of Biological Chemistry, Advanced Healthcare Materials, Biochemical Journal, Studies in Conservation and Journal of Personalized Medicine.

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.

Explore authors with similar magnitude of impact