Maurizio Panarelli
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology
- Behavioral Neuroscience top 5%
- Pathology and Forensic Medicine
- Cardiology and Cardiovascular Medicine
- Co-authors
- Naveed SattarPaul WelshNita G. ForouhiR. FräserChristine D. HollowayChristopher J. KenyonM IngramL Chiandussi
- Topics
- Hormonal Regulation and Hypertension (14 papers)Adrenal Hormones and Disorders (9 papers)Stress Responses and Cortisol (6 papers)
- Cited by
- Behavioral NeuroscienceEndocrinology, Diabetes and MetabolismOrthopedics and Sports Medicine
- Partner nations
- United KingdomItaly
In The Last Decade
Maurizio Panarelli
32 papers receiving 780 citations
Peers
Comparison fields: 5 of 97
- Endocrinology, Diabetes and Metabolism 343
- Physiology 164
- Behavioral Neuroscience 157
- Pathology and Forensic Medicine 106
- Cardiology and Cardiovascular Medicine 106
Countries citing papers authored by Maurizio Panarelli
This map shows the geographic impact of Maurizio Panarelli'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 Maurizio Panarelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurizio Panarelli more than expected).
Fields of papers citing papers by Maurizio Panarelli
This network shows the impact of papers produced by Maurizio Panarelli. 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 Maurizio Panarelli. The network helps show where Maurizio Panarelli may publish in the future.
Co-authorship network of co-authors of Maurizio Panarelli
This figure shows the co-authorship network connecting the top 25 collaborators of Maurizio Panarelli. A scholar is included among the top collaborators of Maurizio Panarelli 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 Maurizio Panarelli. Maurizio Panarelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 24 | |
| 4 | 22 | |
| 5 | 3 | |
| 6 | 108 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 125 | |
| 10 | 16 | |
| 11 | 14 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 13 | |
| 15 | 32 | |
| 16 | 8 | |
| 17 | 44 | |
| 18 | 5 | |
| 19 | 14 | |
| 20 | 16 |
About Maurizio Panarelli
Maurizio Panarelli is a scholar working on Medical Terminology, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 805 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (14 papers), Adrenal Hormones and Disorders (9 papers) and Stress Responses and Cortisol (6 papers). The work is most often cited by research in Behavioral Neuroscience (157 citations), Endocrinology, Diabetes and Metabolism (343 citations) and Orthopedics and Sports Medicine (55 citations). Maurizio Panarelli has collaborated with scholars based in United Kingdom and Italy. Frequent co-authors include Naveed Sattar, Paul Welsh, Nita G. Forouhi, R. Fräser, Christine D. Holloway, Christopher J. Kenyon, M Ingram, L Chiandussi, Niall Anderson and Robert Fraser. Their work appears in journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and Hypertension.
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.