Bartolomeo Merola
- Endocrinology, Diabetes and Metabolism top 0.2%
- Surgery top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology top 10%
- Co-authors
- Gaetano LombardiDiego FeroneAnnamaria ColaoSergio FazioPaolo MarzulloS. LongobardiLuigi SaccàAntonio Cittadini
- Topics
- Pituitary Gland Disorders and Treatments (56 papers)Growth Hormone and Insulin-like Growth Factors (44 papers)Adrenal and Paraganglionic Tumors (19 papers)
- Journals
- CirculationThe Journal of Clinical Endocrinology & MetabolismAnnals of the New York Academy of Sciences
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Bartolomeo Merola
96 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 90
- Endocrinology, Diabetes and Metabolism 2.7k
- Surgery 1.0k
- Molecular Biology 630
- Cardiology and Cardiovascular Medicine 454
- Epidemiology 395
Countries citing papers authored by Bartolomeo Merola
This map shows the geographic impact of Bartolomeo Merola'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 Bartolomeo Merola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bartolomeo Merola more than expected).
Fields of papers citing papers by Bartolomeo Merola
This network shows the impact of papers produced by Bartolomeo Merola. 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 Bartolomeo Merola. The network helps show where Bartolomeo Merola may publish in the future.
Co-authorship network of co-authors of Bartolomeo Merola
This figure shows the co-authorship network connecting the top 25 collaborators of Bartolomeo Merola. A scholar is included among the top collaborators of Bartolomeo Merola 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 Bartolomeo Merola. Bartolomeo Merola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 34 | |
| 3 | 66 | |
| 4 | 4 | |
| 5 | 29 | |
| 6 | 3 | |
| 7 | 190 | |
| 8 | 167 | |
| 9 | 25 | |
| 10 | 118 | |
| 11 | 25 | |
| 12 | 65 | |
| 13 | 9 | |
| 14 | 7 | |
| 15 | 2 | |
| 16 | 15 | |
| 17 | 5 | |
| 18 | 22 | |
| 19 | 1 | |
| 20 | 6 |
About Bartolomeo Merola
Bartolomeo Merola is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Biological Psychiatry, having authored 96 papers that have together received 3.3k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (56 papers), Growth Hormone and Insulin-like Growth Factors (44 papers) and Adrenal and Paraganglionic Tumors (19 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.7k citations), Surgery (1.0k citations) and Cardiology and Cardiovascular Medicine (454 citations). Bartolomeo Merola has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Gaetano Lombardi, Diego Ferone, Annamaria Colao, Annamaria Colao, Sergio Fazio, Paolo Marzullo, S. Longobardi, Luigi Saccà, Antonio Cittadini and D Sabatini. Their work appears in journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and Annals of the New York Academy of Sciences.
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.