Francesca Ruggiero
- Molecular Biology top 1%
- Physiology top 1%
- Clinical Biochemistry top 0.2%
- Pathology and Forensic Medicine top 1%
- Epidemiology top 5%
- Co-authors
- Giuseppe ParadiesGiuseppe PetrosilloValeria ParadiesMarilva PistoleseErnesto QuagliarielloNicola Di VenosaNicola MoroAntonio Federici
- Topics
- Mitochondrial Function and Pathology (58 papers)Metabolism and Genetic Disorders (23 papers)ATP Synthase and ATPases Research (21 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBlood
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Francesca Ruggiero
106 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Biology 5.0k
- Physiology 1.5k
- Clinical Biochemistry 1.0k
- Pathology and Forensic Medicine 864
- Epidemiology 843
Countries citing papers authored by Francesca Ruggiero
This map shows the geographic impact of Francesca Ruggiero'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 Ruggiero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Ruggiero more than expected).
Fields of papers citing papers by Francesca Ruggiero
This network shows the impact of papers produced by Francesca Ruggiero. 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 Ruggiero. The network helps show where Francesca Ruggiero may publish in the future.
Co-authorship network of co-authors of Francesca Ruggiero
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Ruggiero. A scholar is included among the top collaborators of Francesca Ruggiero based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesca Ruggiero. Francesca Ruggiero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 36 | |
| 6 | 91 | |
| 7 | 12 | |
| 8 | 15 | |
| 9 | 134 | |
| 10 | 137 | |
| 11 | 3 | |
| 12 | 75 | |
| 13 | 4 | |
| 14 | 71 | |
| 15 | 2 | |
| 16 | 80 | |
| 17 | 5 | |
| 18 | 30 | |
| 19 | 60 | |
| 20 | 27 |
About Francesca Ruggiero
Francesca Ruggiero is a scholar working on Clinical Biochemistry, Health Information Management and Biophysics, having authored 109 papers that have together received 8.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (58 papers), Metabolism and Genetic Disorders (23 papers) and ATP Synthase and ATPases Research (21 papers). The work is most often cited by research in Clinical Biochemistry (1.0k citations), Aging (219 citations) and Endocrine and Autonomic Systems (561 citations). Francesca Ruggiero has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giuseppe Paradies, Giuseppe Petrosillo, Valeria Paradies, Marilva Pistolese, Ernesto Quagliariello, Nicola Di Venosa, Nicola Moro, Antonio Federici, Maria Nicola Gadaleta and Rüssel J. Reiter. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.
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.