Daniela Fiore

2.0k citations
26 papers · 1.5k · 1 hit paper · h-index 15

Impact in

Papers in

Daniela Fiore

25 papers receiving 1.5k citations

Daniela Fiore's Hit Papers

Nilotinib reduces muscle fibrosis in chronic muscle injury by promoting TNF-mediated apoptosis of fibro/adipogenic progenitors 2015 · 562 citations
5620+3+7Years since publication100200300400500

Peers

Daniela Fiore
Comparison fields: 5 of 97
  • Geriatrics and Gerontology 81
  • Rehabilitation 135
  • Genetics 209
  • Endocrinology, Diabetes and Metabolism 237
  • Physiology 309
Replace Kristen A. Baltgalvis with:
Kristen A. Baltgalvis United States
Pascale Lause Belgium
Genzo Iguchi Japan
Yuichi Akasaki Japan
Aiko Inoue Japan
Kate Kosmac United States
Cory M. Dungan United States
Valentine Brussee Canada
Victoria DeMambro United States
Estíbaliz Castillero United States
Daniela Fiore relative to Kristen A. Baltgalvis United States Kristen A. Baltgalvis's profile →
Citations per field
00.5×2.6×
Kristen A. Baltgalvis · 1×
Citations per year

Countries citing papers authored by Daniela Fiore

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniela Fiore Line = papers co-authored together Daniela Fiore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 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 →
2015562
2 2017159
3 2016120
4 2014106
5 201672
6 201866
7 202065
8 201251
9 201648
10 201242
11 201239
12 201537
13 201733
14 201031
15 201920
16 201012
17 20179
18 20187
19 20245
20 20185

About Daniela Fiore

Daniela Fiore is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery and Physiology, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (3 papers), Adrenal Hormones and Disorders (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Receptor Mechanisms and Signaling (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Hormonal Regulation and Hypertension (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Geriatrics and Gerontology (81 citations), Rehabilitation (135 citations), Genetics (209 citations), Endocrinology, Diabetes and Metabolism (237 citations) and Physiology (309 citations). Daniela Fiore has collaborated with scholars based in Italy, Canada and United States. Frequent co-authors include Fábio Rossi, Darío R. Lemos, Marcela Low, Chih-Kai Chang, Sergei A. Nedospasov, Anuradha Natarajan, Regan‐Heng Zhang, Farshad Babaeijandaghi, Andrea Lenzi and Andrea M. Isidori. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Cellular Physiology, Cell stem cell, Sensors and Diabetes Metabolic Syndrome and Obesity.

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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