Mariano Bizzarri
- Molecular Biology top 5%
- Physiology top 5%
- Reproductive Medicine top 1%
- Public Health, Environmental and Occupational Health top 5%
- Endocrine and Autonomic Systems top 1%
- Co-authors
- Alessandra CucinaSimona DinicolaSara ProiettiArturo BevilacquaFabrizio D’AnselmiAlessia PasqualatoVittorio UnferMaria Grazia Masiello
- Topics
- Spaceflight effects on biology (23 papers)Ovarian function and disorders (21 papers)Reproductive Biology and Fertility (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaNature Reviews Molecular Cell BiologyPLoS ONE
- Partner nations
- ItalyUnited StatesSaudi Arabia
In The Last Decade
Mariano Bizzarri
188 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 173
- Molecular Biology 1.6k
- Physiology 705
- Reproductive Medicine 642
- Public Health, Environmental and Occupational Health 571
- Endocrine and Autonomic Systems 523
Countries citing papers authored by Mariano Bizzarri
This map shows the geographic impact of Mariano Bizzarri'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 Mariano Bizzarri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariano Bizzarri more than expected).
Fields of papers citing papers by Mariano Bizzarri
This network shows the impact of papers produced by Mariano Bizzarri. 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 Mariano Bizzarri. The network helps show where Mariano Bizzarri may publish in the future.
Co-authorship network of co-authors of Mariano Bizzarri
This figure shows the co-authorship network connecting the top 25 collaborators of Mariano Bizzarri. A scholar is included among the top collaborators of Mariano Bizzarri 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 Mariano Bizzarri. Mariano Bizzarri 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 | 7 | |
| 3 | 18 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 13 | |
| 8 | 90 | |
| 9 | 18 | |
| 10 | 22 | |
| 11 | 32 | |
| 12 | 23 | |
| 13 | 13 | |
| 14 | 10 | |
| 15 | 11 | |
| 16 | 26 | |
| 17 | 11 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 24 |
About Mariano Bizzarri
Mariano Bizzarri is a scholar working on Aging, Reproductive Medicine and Endocrine and Autonomic Systems, having authored 191 papers that have together received 4.7k indexed citations. Recurring topics across this work include Spaceflight effects on biology (23 papers), Ovarian function and disorders (21 papers) and Reproductive Biology and Fertility (18 papers). The work is most often cited by research in Aging (182 citations), Endocrine and Autonomic Systems (523 citations) and Reproductive Medicine (642 citations). Mariano Bizzarri has collaborated with scholars based in Italy, United States and Saudi Arabia. Frequent co-authors include Alessandra Cucina, Simona Dinicola, Sara Proietti, Arturo Bevilacqua, Fabrizio D’Anselmi, Alessia Pasqualato, Vittorio Unfer, Maria Grazia Masiello, Alessandro Giuliani and Pierpaolo Coluccia. Their work appears in journals such as SHILAP Revista de lepidopterología, Nature Reviews Molecular Cell Biology and PLoS ONE.
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.