Paolo Sgrò
- Reproductive Medicine top 1%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 2%
- Public Health, Environmental and Occupational Health top 5%
- Physiology top 10%
- Co-authors
- Andrea LenziL. GandiniLuisa CaponecchiaLuigi Di LuigiFederica TramerEnrico PanfiliGabriella SandriMonica Martinelli
- Topics
- Hormonal and reproductive studies (34 papers)Muscle metabolism and nutrition (22 papers)Exercise and Physiological Responses (17 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismFree Radical Biology and MedicineInternational Journal of Molecular Sciences
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Paolo Sgrò
82 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Reproductive Medicine 617
- Molecular Biology 591
- Endocrinology, Diabetes and Metabolism 514
- Public Health, Environmental and Occupational Health 500
- Physiology 359
Countries citing papers authored by Paolo Sgrò
This map shows the geographic impact of Paolo Sgrò'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 Paolo Sgrò with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Sgrò more than expected).
Fields of papers citing papers by Paolo Sgrò
This network shows the impact of papers produced by Paolo Sgrò. 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 Paolo Sgrò. The network helps show where Paolo Sgrò may publish in the future.
Co-authorship network of co-authors of Paolo Sgrò
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Sgrò. A scholar is included among the top collaborators of Paolo Sgrò 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 Paolo Sgrò. Paolo Sgrò 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 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 27 | |
| 12 | 21 | |
| 13 | 10 | |
| 14 | 9 | |
| 15 | 21 | |
| 16 | 11 | |
| 17 | 29 | |
| 18 | 24 | |
| 19 | 2 | |
| 20 | 14 |
About Paolo Sgrò
Paolo Sgrò is a scholar working on Rehabilitation, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 85 papers that have together received 3.1k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (34 papers), Muscle metabolism and nutrition (22 papers) and Exercise and Physiological Responses (17 papers). The work is most often cited by research in Reproductive Medicine (617 citations), Rehabilitation (230 citations) and Endocrinology, Diabetes and Metabolism (514 citations). Paolo Sgrò has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Andrea Lenzi, L. Gandini, Luisa Caponecchia, Luigi Di Luigi, Federica Tramer, Enrico Panfili, Gabriella Sandri, Monica Martinelli, Francesco Lombardo and Francesco Romanelli. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Free Radical Biology and Medicine 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.