Marzia Barberi
- Reproductive Medicine top 5%
- Public Health, Environmental and Occupational Health top 10%
- Cellular and Molecular Neuroscience
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Rita CanipariSandra CecconiMario StefaniniGuido MacchiarelliMaria Beatrice MorelliAndrea BoriniSergio VaccariAnna Teti
- Topics
- Reproductive Biology and Fertility (7 papers)Neuropeptides and Animal Physiology (6 papers)Hypothalamic control of reproductive hormones (4 papers)
- Cited by
- Reproductive MedicineCellular and Molecular NeurosciencePublic Health, Environmental and Occupational Health
- Journals
- The Journal of Clinical Endocrinology & MetabolismEndocrinologyAnnals of the New York Academy of Sciences
- Partner nations
- ItalyUnited States
In The Last Decade
Marzia Barberi
14 papers receiving 327 citations
Peers
Comparison fields: 5 of 55
- Reproductive Medicine 194
- Public Health, Environmental and Occupational Health 150
- Cellular and Molecular Neuroscience 104
- Molecular Biology 96
- Endocrinology, Diabetes and Metabolism 62
Countries citing papers authored by Marzia Barberi
This map shows the geographic impact of Marzia Barberi'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 Marzia Barberi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marzia Barberi more than expected).
Fields of papers citing papers by Marzia Barberi
This network shows the impact of papers produced by Marzia Barberi. 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 Marzia Barberi. The network helps show where Marzia Barberi may publish in the future.
Co-authorship network of co-authors of Marzia Barberi
This figure shows the co-authorship network connecting the top 25 collaborators of Marzia Barberi. A scholar is included among the top collaborators of Marzia Barberi 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 Marzia Barberi. Marzia Barberi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 32 | |
| 4 | 11 | |
| 5 | 18 | |
| 6 | 7 | |
| 7 | 9 | |
| 8 | 17 | |
| 9 | 25 | |
| 10 | 38 | |
| 11 | 45 | |
| 12 | 78 | |
| 13 | 32 | |
| 14 | 13 |
About Marzia Barberi
Marzia Barberi is a scholar working on Reproductive Medicine, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 342 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (7 papers), Neuropeptides and Animal Physiology (6 papers) and Hypothalamic control of reproductive hormones (4 papers). The work is most often cited by research in Reproductive Medicine (194 citations), Cellular and Molecular Neuroscience (104 citations) and Public Health, Environmental and Occupational Health (150 citations). Marzia Barberi has collaborated with scholars based in Italy and United States. Frequent co-authors include Rita Canipari, Sandra Cecconi, Mario Stefanini, Guido Macchiarelli, Maria Beatrice Morelli, Andrea Borini, Sergio Vaccari, Anna Teti, Barbara Muciaccia and Gianna Rossi. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Annals of the New York Academy of 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.