Daniela Piccin

1.3k citations
18 papers · 1.2k · h-index 15

Impact in

Papers in

Daniela Piccin

18 papers receiving 1.1k citations

Peers

Daniela Piccin
Comparison fields: 5 of 55
  • Endocrinology, Diabetes and Metabolism 580
  • Cancer Research 324
  • Epidemiology 142
  • Cellular and Molecular Neuroscience 67
  • Oncology 85
Replace Andrea Luchin with:
Andrea Luchin Italy
Katharina H. Ruebel United States
Antti Kokko Finland
Michael N. Krupp United States
S Takai Japan
Shihua Sun United States
Susan Terris United States
Maria Chiara Anania Italy
Klas Strååt Sweden
Antonio C. Fuentes-Fayos Spain
Daniela Piccin relative to Andrea Luchin Italy Andrea Luchin's profile →
Citations per field
00.5×2×3×4×4.8×
Andrea Luchin · 1×
Citations per year

Countries citing papers authored by Daniela Piccin

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Piccin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2005309
2 2006188
3 2007110
4 200388
5 200252
6 200451
7 200550
8 200549
9 200649
10 200544
11 200741
12 200538
13 200629
14 200226
15 200617
16 200315
17 200711
18
Role of complex Cdk4/Cyclin D1 in somatostatin subtype 2 receptor-mediated inhibition of cell proliferation of a medullary thyroid carcinoma cell line in vitro
20061

About Daniela Piccin

Daniela Piccin is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Cellular and Molecular Neuroscience, Cancer Research and Epidemiology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (7 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Neuroendocrine Tumor Research Advances (4 papers), Neuropeptides and Animal Physiology (4 papers), Cancer-related Molecular Pathways (2 papers), MicroRNA in disease regulation (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Adrenal and Paraganglionic Tumors (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (580 citations), Cancer Research (324 citations), Epidemiology (142 citations), Cellular and Molecular Neuroscience (67 citations) and Oncology (85 citations). Daniela Piccin has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Maria Chiara Zatelli, Ettore C. degli Uberti, Federico Tagliati, Arianna Bottoni, Andrea Luchin, Michael D. Culler, Marta Bondanelli, Cristina Vignali, Maria Rosaria Ambrosio and Angelo Margutti. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Cellular Physiology, Hormone and Metabolic Research, Endocrine Related Cancer and Endocrinology.

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