Cristina Bianchi
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Obstetrics and Gynecology top 5%
- Co-authors
- Stefano Del PratoRoberto MiccoliGiuseppe PennoAngela DardanoGiuseppe DanieleMichele AragonaAlessandra BertolottoGiovanni Gennaro
- Topics
- Diabetes Management and Research (25 papers)Diabetes Treatment and Management (22 papers)Gestational Diabetes Research and Management (20 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismObstetrics and GynecologyCardiology and Cardiovascular Medicine
- Partner nations
- ItalyUnited KingdomBrazil
In The Last Decade
Cristina Bianchi
88 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 131
- Endocrinology, Diabetes and Metabolism 819
- Surgery 441
- Molecular Biology 378
- Cardiology and Cardiovascular Medicine 241
- Obstetrics and Gynecology 215
Countries citing papers authored by Cristina Bianchi
This map shows the geographic impact of Cristina Bianchi'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 Cristina Bianchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Bianchi more than expected).
Fields of papers citing papers by Cristina Bianchi
This network shows the impact of papers produced by Cristina Bianchi. 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 Cristina Bianchi. The network helps show where Cristina Bianchi may publish in the future.
Co-authorship network of co-authors of Cristina Bianchi
This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Bianchi. A scholar is included among the top collaborators of Cristina Bianchi 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 Cristina Bianchi. Cristina Bianchi 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 | 0 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 9 | |
| 11 | 19 | |
| 12 | 17 | |
| 13 | 20 | |
| 14 | 79 | |
| 15 | 17 | |
| 16 | 14 | |
| 17 | 39 | |
| 18 | 5 | |
| 19 | 44 | |
| 20 | 15 |
About Cristina Bianchi
Cristina Bianchi is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology and Surgery, having authored 96 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes Management and Research (25 papers), Diabetes Treatment and Management (22 papers) and Gestational Diabetes Research and Management (20 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (819 citations), Obstetrics and Gynecology (215 citations) and Cardiology and Cardiovascular Medicine (241 citations). Cristina Bianchi has collaborated with scholars based in Italy, United Kingdom and Brazil. Frequent co-authors include Stefano Del Prato, Roberto Miccoli, Giuseppe Penno, Angela Dardano, Giuseppe Daniele, Michele Aragona, Alessandra Bertolotto, Giovanni Gennaro, M. G. Giovannitti and F. Caricato. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.