Gian Paolo Ceda
- Endocrinology, Diabetes and Metabolism top 0.5%
- Physiology top 1%
- Molecular Biology top 10%
- Surgery top 10%
- Epidemiology top 10%
- Co-authors
- Fulvio LauretaniGiorgio ValentiMarcello MaggioAndrew R. HoffmanLuigi FerrucciStefania BandinelliGraziano CeresiniJack M. Guralnik
- Topics
- Growth Hormone and Insulin-like Growth Factors (49 papers)Hormonal and reproductive studies (33 papers)Nutrition and Health in Aging (20 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Gian Paolo Ceda
158 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 136
- Endocrinology, Diabetes and Metabolism 2.4k
- Physiology 1.4k
- Molecular Biology 786
- Surgery 448
- Epidemiology 400
Countries citing papers authored by Gian Paolo Ceda
This map shows the geographic impact of Gian Paolo Ceda'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 Gian Paolo Ceda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gian Paolo Ceda more than expected).
Fields of papers citing papers by Gian Paolo Ceda
This network shows the impact of papers produced by Gian Paolo Ceda. 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 Gian Paolo Ceda. The network helps show where Gian Paolo Ceda may publish in the future.
Co-authorship network of co-authors of Gian Paolo Ceda
This figure shows the co-authorship network connecting the top 25 collaborators of Gian Paolo Ceda. A scholar is included among the top collaborators of Gian Paolo Ceda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gian Paolo Ceda. Gian Paolo Ceda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 12 | |
| 3 | 10 | |
| 4 | 14 | |
| 5 | 23 | |
| 6 | 56 | |
| 7 | 10 | |
| 8 | 11 | |
| 9 | 40 | |
| 10 | 22 | |
| 11 | Update on new therapeutic options for the somatopause. | 10 |
| 12 | 29 | |
| 13 | 50 | |
| 14 | 29 | |
| 15 | 44 | |
| 16 | Functional consequences of the somatopause and its treatment | 0 |
| 17 | 20 | |
| 18 | Pituitary responsiveness to GHRH and TRH in senile dementia of the Alzheimer type | 1 |
| 19 | 17 | |
| 20 | 18 |
About Gian Paolo Ceda
Gian Paolo Ceda is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Physiology, having authored 163 papers that have together received 5.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (49 papers), Hormonal and reproductive studies (33 papers) and Nutrition and Health in Aging (20 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.4k citations), Geriatrics and Gerontology (367 citations) and Behavioral Neuroscience (290 citations). Gian Paolo Ceda has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Fulvio Lauretani, Giorgio Valenti, Marcello Maggio, Andrew R. Hoffman, Luigi Ferrucci, Stefania Bandinelli, Graziano Ceresini, Jack M. Guralnik, Ron G. Rosenfeld and Shehzad Basaria. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.