Francesca Gaccioli
- Obstetrics and Gynecology top 0.2%
- Pediatrics, Perinatology and Child Health top 0.5%
- Molecular Biology top 10%
- Immunology top 10%
- Epidemiology top 10%
- Co-authors
- Susanne LagerGordon C. S. SmithD. Stephen Charnock‐JonesUlla SovioTheresa L. PowellThomas JanssonEmma CookVanessa Ramírez
- Topics
- Pregnancy and preeclampsia studies (31 papers)Birth, Development, and Health (20 papers)Gestational Diabetes Research and Management (15 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Francesca Gaccioli
46 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Obstetrics and Gynecology 1.4k
- Pediatrics, Perinatology and Child Health 1.4k
- Molecular Biology 939
- Immunology 314
- Epidemiology 274
Countries citing papers authored by Francesca Gaccioli
This map shows the geographic impact of Francesca Gaccioli'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 Francesca Gaccioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Gaccioli more than expected).
Fields of papers citing papers by Francesca Gaccioli
This network shows the impact of papers produced by Francesca Gaccioli. 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 Francesca Gaccioli. The network helps show where Francesca Gaccioli may publish in the future.
Co-authorship network of co-authors of Francesca Gaccioli
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Gaccioli. A scholar is included among the top collaborators of Francesca Gaccioli 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 Francesca Gaccioli. Francesca Gaccioli 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 | 10 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 95 | |
| 8 | 34 | |
| 9 | 57 | |
| 10 | 102 | |
| 11 | 58 | |
| 12 | 68 | |
| 13 | 82 | |
| 14 | 67 | |
| 15 | 237 | |
| 16 | 51 | |
| 17 | 93 | |
| 18 | 50 | |
| 19 | 34 | |
| 20 | 42 |
About Francesca Gaccioli
Francesca Gaccioli is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Biochemistry, having authored 47 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (31 papers), Birth, Development, and Health (20 papers) and Gestational Diabetes Research and Management (15 papers). The work is most often cited by research in Obstetrics and Gynecology (1.4k citations), Pediatrics, Perinatology and Child Health (1.4k citations) and Biochemistry (113 citations). Francesca Gaccioli has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Susanne Lager, Gordon C. S. Smith, D. Stephen Charnock‐Jones, Ulla Sovio, Theresa L. Powell, Thomas Jansson, Emma Cook, Vanessa Ramírez, Irving L.M.H. Aye and Julian Parkhill. Their work appears in journals such as Nature, Journal of Biological Chemistry and Nature Medicine.
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.