Catia Pilon

39 papers receiving 1.7k citations

Peers

Catia Pilon
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 700
  • Endocrine and Autonomic Systems 110
  • Pharmacology 240
  • Physiology 346
  • Epidemiology 431
Replace Jin Yang with:
Jin Yang China
Marthe Moldes France
Camille Attané France
Tomoko Asagami United States
Katrine Almind United States
Carsten F. Gotfredsen Denmark
Freyja D. James United States
Junji Fujikura Japan
Dorit Daphna-Iken United States
Koji Kuboki Japan
Catia Pilon relative to Jin Yang China Jin Yang's profile →
Citations per field
00.5×2×3.3×
Jin Yang · 1×
Citations per year

Countries citing papers authored by Catia Pilon

Since Specialization
Citations

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

Fields of papers citing papers by Catia Pilon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006260
2 2007186
3 2006167
4 1998106
5 2010105
6 200488
7 200582
8 200668
9 200067
10 201159
11 200859
12 199946
13 200345
14 201244
15 201039
16 201034
17 200933
18 201525
19 199625
20 199924

About Catia Pilon

Catia Pilon is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cancer Research, Epidemiology and Oncology, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (17 papers), Adrenal and Paraganglionic Tumors (17 papers), Cancer, Hypoxia, and Metabolism (7 papers), Adrenal Hormones and Disorders (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Neuroblastoma Research and Treatments (2 papers), Estrogen and related hormone effects (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (700 citations), Endocrine and Autonomic Systems (110 citations), Pharmacology (240 citations), Physiology (346 citations) and Epidemiology (431 citations). Catia Pilon has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Roberto Vettor, Gabriella Milan, Francesco Fallo, Claudio Pagano, Giovanni Federspil, Marco Andrea Rossato, Riccardo Urbanet, Alessandra Calcagno, Paolo Mulatero and Franco Veglio. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hypertension, Journal of Human Hypertension, Molecular Cancer Therapeutics and Chemotherapy.

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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