Andrea Armani
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Surgery top 10%
- Epidemiology
- Co-authors
- Massimiliano CaprioVincenzo MarzollaAndrea FabbriAlessandra FeracoGiuseppe RosanoCaterina MammiElisabetta CamajaniStefania Gorini
- Topics
- Hormonal Regulation and Hypertension (20 papers)Adipose Tissue and Metabolism (20 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe FASEB JournalInternational Journal of Molecular Sciences
- Partner nations
- ItalyGhanaUnited States
In The Last Decade
Andrea Armani
49 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Physiology 590
- Endocrinology, Diabetes and Metabolism 588
- Molecular Biology 343
- Surgery 304
- Epidemiology 241
Countries citing papers authored by Andrea Armani
This map shows the geographic impact of Andrea Armani'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 Andrea Armani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Armani more than expected).
Fields of papers citing papers by Andrea Armani
This network shows the impact of papers produced by Andrea Armani. 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 Andrea Armani. The network helps show where Andrea Armani may publish in the future.
Co-authorship network of co-authors of Andrea Armani
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Armani. A scholar is included among the top collaborators of Andrea Armani 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 Andrea Armani. Andrea Armani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 14 | |
| 4 | Assessing gender differences in food preferences and physical activity: a population-based surveybreakdown → | 83 |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 19 | |
| 11 | 23 | |
| 12 | 20 | |
| 13 | 5 | |
| 14 | 50 | |
| 15 | 14 | |
| 16 | 3 | |
| 17 | 44 | |
| 18 | 30 | |
| 19 | 46 | |
| 20 | 50 |
About Andrea Armani
Andrea Armani is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Behavioral Neuroscience, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (20 papers), Adipose Tissue and Metabolism (20 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (588 citations), Physiology (590 citations) and Behavioral Neuroscience (79 citations). Andrea Armani has collaborated with scholars based in Italy, Ghana and United States. Frequent co-authors include Massimiliano Caprio, Vincenzo Marzolla, Andrea Fabbri, Alessandra Feraco, Giuseppe Rosano, Caterina Mammi, Elisabetta Camajani, Stefania Gorini, Mauro Lombardo and Antonella Antelmi. Their work appears in journals such as SHILAP Revista de lepidopterología, The FASEB Journal and International Journal of Molecular 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.