Michele De Rosa
- Reproductive Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Genetics
- Co-authors
- Stefano ZarrilliGaetano LombardiAnnamaria ColaoCarolina Di SommaG LombardiFrancesco RossiGiovanni LupoliRossella Ruggiero
- Topics
- Sperm and Testicular Function (6 papers)Sexual Differentiation and Disorders (4 papers)Hormonal and reproductive studies (3 papers)
- Cited by
- Reproductive MedicineEndocrinology, Diabetes and MetabolismHealth, Toxicology and Mutagenesis
- Partner nations
- ItalyUnited KingdomGhana
In The Last Decade
Michele De Rosa
16 papers receiving 355 citations
Peers
Comparison fields: 5 of 84
- Reproductive Medicine 139
- Endocrinology, Diabetes and Metabolism 103
- Molecular Biology 96
- Public Health, Environmental and Occupational Health 67
- Genetics 67
Countries citing papers authored by Michele De Rosa
This map shows the geographic impact of Michele De Rosa'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 Michele De Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele De Rosa more than expected).
Fields of papers citing papers by Michele De Rosa
This network shows the impact of papers produced by Michele De Rosa. 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 Michele De Rosa. The network helps show where Michele De Rosa may publish in the future.
Co-authorship network of co-authors of Michele De Rosa
This figure shows the co-authorship network connecting the top 25 collaborators of Michele De Rosa. A scholar is included among the top collaborators of Michele De Rosa 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 Michele De Rosa. Michele De Rosa 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 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 17 | |
| 6 | 3 | |
| 7 | Antipsychotics and prolactinemia: biological regulation and clinical aspects | 1 |
| 8 | 15 | |
| 9 | 54 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 46 | |
| 13 | 50 | |
| 14 | 34 | |
| 15 | 61 | |
| 16 | 6 | |
| 17 | 13 | |
| 18 | 28 | |
| 19 | 26 |
About Michele De Rosa
Michele De Rosa is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 19 papers that have together received 372 indexed citations. Recurring topics across this work include Sperm and Testicular Function (6 papers), Sexual Differentiation and Disorders (4 papers) and Hormonal and reproductive studies (3 papers). The work is most often cited by research in Reproductive Medicine (139 citations), Endocrinology, Diabetes and Metabolism (103 citations) and Health, Toxicology and Mutagenesis (36 citations). Michele De Rosa has collaborated with scholars based in Italy, United Kingdom and Ghana. Frequent co-authors include Stefano Zarrilli, Gaetano Lombardi, Annamaria Colao, Carolina Di Somma, G Lombardi, Francesco Rossi, Giovanni Lupoli, Rossella Ruggiero, Maria Gaccione and Antonella Di Sarno. Their work appears in journals such as Molecular and Cellular Endocrinology, Clinical Endocrinology and International Dairy Journal.
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.