S Sensi
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Endocrine and Autonomic Systems top 5%
- Epidemiology
- Co-authors
- Maria Teresa GuagnanoGiovanni Davı̀Michele NutiniStefania BasiliCarlo PatronoGiovanni CiabattoniAngela FalcoF Capani
- Topics
- Diet and metabolism studies (12 papers)Spaceflight effects on biology (7 papers)Circadian rhythm and melatonin (7 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
S Sensi
60 papers receiving 1000 citations
Peers
Comparison fields: 5 of 105
- Physiology 357
- Endocrinology, Diabetes and Metabolism 248
- Cardiology and Cardiovascular Medicine 235
- Endocrine and Autonomic Systems 189
- Epidemiology 175
Countries citing papers authored by S Sensi
This map shows the geographic impact of S Sensi'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 S Sensi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Sensi more than expected).
Fields of papers citing papers by S Sensi
This network shows the impact of papers produced by S Sensi. 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 S Sensi. The network helps show where S Sensi may publish in the future.
Co-authorship network of co-authors of S Sensi
This figure shows the co-authorship network connecting the top 25 collaborators of S Sensi. A scholar is included among the top collaborators of S Sensi 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 S Sensi. S Sensi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 450 | |
| 3 | 15 | |
| 4 | 18 | |
| 5 | 63 | |
| 6 | 40 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | Chronobiology in endocrinology. | 23 |
| 12 | Changes in plasma DHEAS circadian rhythm in elderly men. | 21 |
| 13 | 15 | |
| 14 | 15 | |
| 15 | 2 | |
| 16 | [Time structure of endocrine secretion. II. Circannual variations in the free fractions of tri- and tetraiodothyronine, cortisol, human growth hormone and plasma insulin in healthy subjects]. | 5 |
| 17 | [Chronotherapy of obesity. I. Effect of fenfluramine on the decrease of adipose mass in the obese, in relation to the time of administration]. | 2 |
| 18 | 4 | |
| 19 | Diurnal patterns of insulin response to constant and repeated glucose loads in normal subjects. | 1 |
| 20 | 5 |
About S Sensi
S Sensi is a scholar working on Family Practice, Anatomy and Endocrine and Autonomic Systems, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diet and metabolism studies (12 papers), Spaceflight effects on biology (7 papers) and Circadian rhythm and melatonin (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (189 citations), Biochemistry (113 citations) and Endocrinology, Diabetes and Metabolism (248 citations). S Sensi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Maria Teresa Guagnano, Giovanni Davı̀, Michele Nutini, Stefania Basili, Carlo Patrono, Giovanni Ciabattoni, Angela Falco, F Capani, R. Della Vecchia and Enzo Ballone. Their work appears in journals such as The Lancet, JAMA 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.