Catia Pilon

36 papers receiving 1.7k citations

Peers

Catia Pilon
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 638
  • Endocrine and Autonomic Systems 103
  • Pharmacology 230
  • Physiology 337
  • Epidemiology 417
Replace Jin Yang with:
Jin Yang China
Camille Attané France
Tomoko Asagami United States
Freyja D. James United States
C. F. Gotfredsen Denmark
Katrine Almind United States
Dorit Daphna-Iken United States
M. J. A. Saad Brazil
Koji Kuboki Japan
Sheng Zhong Duan United States
Catia Pilon relative to Jin Yang China Jin Yang's profile →
Citations per field
00.5×3.2×
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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006259
2 2007179
3 2006162
4 201095
5 199894
6 200486
7 200578
8 200668
9 200061
10 201156
11 200854
12 199945
13 201244
14 201038
15 200336
16 200934
17 201033
18 201525
19 201324
20 199623

About Catia Pilon

Catia Pilon is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cancer Research, Molecular Biology and Epidemiology, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (16 papers), Adrenal and Paraganglionic Tumors (16 papers), Cancer, Hypoxia, and Metabolism (7 papers), Adrenal Hormones and Disorders (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Muscle metabolism and nutrition (2 papers), Cancer Treatment and Pharmacology (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (638 citations), Endocrine and Autonomic Systems (103 citations), Pharmacology (230 citations), Physiology (337 citations) and Epidemiology (417 citations). Catia Pilon has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Roberto Vettor, Gabriella Milan, Claudio Pagano, Francesco Fallo, Giovanni Federspil, Marco Rossato, Riccardo Urbanet, Alessandra Calcagno, Paolo Mulatero and Franco Veglio. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hypertension, International Journal on Disability and Human Development, The Journal of Steroid Biochemistry and Molecular Biology and Diabetologia.

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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