Daniela Fiore
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Rehabilitation top 5%
- Exercise and Physiological Responses
Papers in ⓘ
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- Stress Responses and Cortisol 4
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- Sirtuins and Resveratrol in Medicine 2
- Co-authors
- Fábio Rossi (4 shared papers)Marcela Low (3 shared papers)Darío R. Lemos (3 shared papers)Chih-Kai Chang (2 shared papers)Farshad Babaeijandaghi (1 shared paper)Sergei A. Nedospasov (1 shared paper)Regan‐Heng Zhang (1 shared paper)Anuradha Natarajan (1 shared paper)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (4 papers)Journal of Cellular Physiology (2 papers)Scientific Reports (1 paper)Nature Medicine (1 paper)European Journal of Human Genetics (1 paper)
- Partner nations
- ItalyCanadaUnited States
In The Last Decade
Daniela Fiore
23 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Genetics 227
- Rehabilitation 143
- Geriatrics and Gerontology 72
- Endocrinology, Diabetes and Metabolism 271
- Physiology 365
Countries citing papers authored by Daniela Fiore
This map shows the geographic impact of Daniela Fiore'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 Daniela Fiore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Fiore more than expected).
Fields of papers citing papers by Daniela Fiore
This network shows the impact of papers produced by Daniela Fiore. 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 Daniela Fiore. The network helps show where Daniela Fiore may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Fiore, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Nilotinib reduces muscle fibrosis in chronic muscle injury by promoting TNF-mediated apoptosis of fibro/adipogenic progenitors Hit paper breakdown → | 2015 | 536 |
| 2 | 2017 | 147 | |
| 3 | 2016 | 114 | |
| 4 | 2014 | 102 | |
| 5 | 2016 | 68 | |
| 6 | 2018 | 63 | |
| 7 | 2020 | 62 | |
| 8 | 2012 | 50 | |
| 9 | 2016 | 47 | |
| 10 | 2015 | 36 | |
| 11 | 2012 | 35 | |
| 12 | 2012 | 35 | |
| 13 | 2017 | 34 | |
| 14 | 2010 | 30 | |
| 15 | 2019 | 20 | |
| 16 | 2010 | 11 | |
| 17 | 2017 | 9 | |
| 18 | 2018 | 7 | |
| 19 | 2018 | 5 | |
| 20 | 2012 | 3 |
About Daniela Fiore
Daniela Fiore is a scholar working on Behavioral Neuroscience, Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Physiology, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (4 papers), Stress Responses and Cortisol (4 papers), Cardiovascular Disease and Adiposity (3 papers), Adipose Tissue and Metabolism (3 papers), Adrenal Hormones and Disorders (3 papers), Sirtuins and Resveratrol in Medicine (2 papers), Receptor Mechanisms and Signaling (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Genetics (227 citations), Rehabilitation (143 citations), Geriatrics and Gerontology (72 citations), Endocrinology, Diabetes and Metabolism (271 citations) and Physiology (365 citations). Daniela Fiore has collaborated with scholars based in Italy, Canada and United States. Frequent co-authors include Fábio Rossi, Marcela Low, Darío R. Lemos, Chih-Kai Chang, Farshad Babaeijandaghi, Sergei A. Nedospasov, Regan‐Heng Zhang, Anuradha Natarajan, Andrea Lenzi and Andrea M. Isidori. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Cellular Physiology, Scientific Reports, Nature Medicine and European Journal of Human Genetics.
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.