S. Filetti

413 citations
12 papers · 373 · h-index 8

Impact in

Papers in

S. Filetti

12 papers receiving 351 citations

Peers

S. Filetti
Comparison fields: 5 of 54
  • Endocrinology, Diabetes and Metabolism 254
  • Endocrine and Autonomic Systems 20
  • Immunology 59
  • Physiology 65
  • Genetics 69
Replace Hideshi Hirayu with:
Hideshi Hirayu Japan
B. Van Heuverswyn Belgium
Peggy Verdood Belgium
Rachida Rabilloud France
Jaime Steinsapir United States
Jens Behrends Germany
Amanda C. Hayward United Kingdom
Rebecca A. Sendak United States
Yasuhiro Hosoi Japan
D. Bression France
S. Filetti relative to Hideshi Hirayu Japan Hideshi Hirayu's profile →
Citations per field
00.5×1.7×
Hideshi Hirayu · 1×
Citations per year

Countries citing papers authored by S. Filetti

Since Specialization
Citations

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

Fields of papers citing papers by S. Filetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1987111
2 1981101
3 197659
4 198224
5 198723
6 198117
7 198117
8 201012
9 20014
10 19942
11
Multiple endocrine neoplasia 2
20042
12
The cyclic AMP response element binding protein (CREB) is functionally reduced in human toxic thyroid adenomas
20001

About S. Filetti

S. Filetti is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Oncology, Epidemiology and Physiology, having authored 12 papers that have together received 373 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (5 papers), Neuroendocrine Tumor Research Advances (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), PARP inhibition in cancer therapy (1 paper), Estrogen and related hormone effects (1 paper), Hypothalamic control of reproductive hormones (1 paper) and Diet and metabolism studies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (254 citations), Endocrine and Autonomic Systems (20 citations), Immunology (59 citations), Physiology (65 citations) and Genetics (69 citations). S. Filetti has collaborated with scholars based in United States and Italy. Frequent co-authors include B Rapoport, William E. Hinds, Pui Seto, Ronald P. Magnusson, Orlo H. Clark, Basil Rapoport, Leslie J. DeGroot, Gregorio D. Chazenbalk, V. Pezzino and Riccardo Vigneri. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hormone and Metabolic Research, Endocrinology, Diabetes and Molecular 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.

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