Francesca Riuzzi
Impact in
- Clinical Biochemistry top 0.5%
- Advanced Glycation End Products research
- Molecular Biology top 5%
- S100 Proteins and Annexins
- Muscle Physiology and Disorders
Papers in
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- Advanced Glycation End Products research 19
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- S100 Proteins and Annexins 21
- Muscle Physiology and Disorders 14
- Co-authors
- Guglielmo Sorci (40 shared papers)Rosario Donato (12 shared papers)Rosario Donato (24 shared papers)Ileana Giambanco (10 shared papers)David J. Weber (1 shared paper)Kuang‐Hung Hsu (1 shared paper)Carolyn L. Geczy (1 shared paper)Brian R. Cannon (1 shared paper)
In The Last Decade
Francesca Riuzzi
45 papers receiving 3.9k citations
Francesca Riuzzi's Hit Papers
Peers
Comparison fields: 5 of 121
- Clinical Biochemistry 763
- Molecular Biology 2.4k
- Immunology 683
- Neurology 227
- Neurology 367
Countries citing papers authored by Francesca Riuzzi
This map shows the geographic impact of Francesca Riuzzi'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 Riuzzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Riuzzi more than expected).
Fields of papers citing papers by Francesca Riuzzi
This network shows the impact of papers produced by Francesca Riuzzi. 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 Riuzzi. The network helps show where Francesca Riuzzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Riuzzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Functions of S100 Proteins Hit paper breakdown → | 2012 | 1118 |
| 2 | S100B's double life: Intracellular regulator and extracellular signal Hit paper breakdown → | 2008 | 623 |
| 3 | 2012 | 195 | |
| 4 | 2010 | 163 | |
| 5 | 2022 | 119 | |
| 6 | 2004 | 109 | |
| 7 | 2006 | 109 | |
| 8 | 2018 | 99 | |
| 9 | 2020 | 91 | |
| 10 | 2018 | 91 | |
| 11 | 2011 | 85 | |
| 12 | 2012 | 79 | |
| 13 | 2013 | 70 | |
| 14 | 2003 | 70 | |
| 15 | 2012 | 64 | |
| 16 | 2011 | 59 | |
| 17 | 2003 | 59 | |
| 18 | 2007 | 56 | |
| 19 | 2010 | 53 | |
| 20 | 2018 | 50 |
About Francesca Riuzzi
Francesca Riuzzi is a scholar working on Clinical Biochemistry, Molecular Biology, Rehabilitation, Neurology and Genetics, having authored 46 papers that have together received 3.9k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (21 papers), Advanced Glycation End Products research (19 papers), Muscle Physiology and Disorders (14 papers), Exercise and Physiological Responses (4 papers), Protease and Inhibitor Mechanisms (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Adipose Tissue and Metabolism (3 papers) and Nutrition and Health in Aging (3 papers). The work is most often cited by research in Clinical Biochemistry (763 citations), Molecular Biology (2.4k citations), Immunology (683 citations), Neurology (227 citations) and Neurology (367 citations). Francesca Riuzzi has collaborated with scholars based in Italy, France and Portugal. Frequent co-authors include Guglielmo Sorci, Rosario Donato, Rosario Donato, Ileana Giambanco, David J. Weber, Kuang‐Hung Hsu, Carolyn L. Geczy, Brian R. Cannon, Cataldo Arcuri and Roberta Martins da Costa Bianchi. Their work appears in journals such as PLoS ONE, Journal of Cell Science, Journal of Cachexia Sarcopenia and Muscle, Current Molecular Medicine and Molecular and Cellular Biology.
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.