Manuela Cerbone

853 citations
22 papers · 523 · h-index 13

Impact in

Papers in

Manuela Cerbone

22 papers receiving 515 citations

Peers

Manuela Cerbone
Comparison fields: 5 of 57
  • Endocrinology, Diabetes and Metabolism 342
  • Endocrine and Autonomic Systems 55
  • Pediatrics, Perinatology and Child Health 41
  • Reproductive Medicine 17
  • Genetics 50
Replace Maciej Hilczer with:
Maciej Hilczer Poland
Asad Rahim United Kingdom
Maria Rosaria Casini Italy
Hugo Boquete Argentina
İlknur Arslanoğlu Türkiye
Pnina Hertz Israel
M.T. Muñoz-Calvo Spain
M.T. Muñoz Spain
Véronique Beauloye Belgium
Wendy J. Brickman United States
Manuela Cerbone relative to Maciej Hilczer Poland Maciej Hilczer's profile →
Citations per field
00.5×3.3×
Maciej Hilczer · 1×
Citations per year

Countries citing papers authored by Manuela Cerbone

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Cerbone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201675
2 201474
3 201173
4 201644
5 202331
6 201726
7 201225
8 201225
9 202024
10 202124
11 200919
12 202013
13 202313
14 202212
15 201410
16 201310
17 20099
18 20186
19 20194
20 20223

About Manuela Cerbone

Manuela Cerbone is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Molecular Biology and Neurology, having authored 22 papers that have together received 523 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (8 papers), Thyroid Disorders and Treatments (8 papers), Pituitary Gland Disorders and Treatments (4 papers), Genetics and Neurodevelopmental Disorders (2 papers), Neuroblastoma Research and Treatments (2 papers), Adolescent and Pediatric Healthcare (1 paper), Neonatal Respiratory Health Research (1 paper) and Thyroid Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (342 citations), Endocrine and Autonomic Systems (55 citations), Pediatrics, Perinatology and Child Health (41 citations), Reproductive Medicine (17 citations) and Genetics (50 citations). Manuela Cerbone has collaborated with scholars based in Italy, United Kingdom and Greece. Frequent co-authors include Mariacarolina Salerno, Donatella Capalbo, Filippo De Luca, Mehul Dattani, Nicola Improda, Giuseppina Mattace Raso, Hoong‐Wei Gan, Małgorzata Waśniewska, Rosaria Meli and Dario Bruzzese. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Neuro-Oncology, Endocrine Reviews and Hormone Research in Paediatrics.

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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