Francesca Baldini
- Epidemiology
- Molecular Biology
- Physiology
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Laura VerganiAdriana VociPiero PortincasaElena GrasselliAaron SteinfeldPete TrautmanMohamad KhalilAllan Wang
- Topics
- Liver Disease Diagnosis and Treatment (10 papers)Phytochemicals and Antioxidant Activities (5 papers)Adipose Tissue and Metabolism (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Molecular Sciences
- Partner nations
- ItalyUnited StatesLebanon
In The Last Decade
Francesca Baldini
33 papers receiving 649 citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Epidemiology 149
- Molecular Biology 144
- Physiology 98
- Computer Vision and Pattern Recognition 92
- Radiology, Nuclear Medicine and Imaging 75
Countries citing papers authored by Francesca Baldini
This map shows the geographic impact of Francesca Baldini'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 Baldini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Baldini more than expected).
Fields of papers citing papers by Francesca Baldini
This network shows the impact of papers produced by Francesca Baldini. 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 Baldini. The network helps show where Francesca Baldini may publish in the future.
Co-authorship network of co-authors of Francesca Baldini
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Baldini. A scholar is included among the top collaborators of Francesca Baldini 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 Baldini. Francesca Baldini 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 | 5 | |
| 3 | 2 | |
| 4 | 20 | |
| 5 | 10 | |
| 6 | 5 | |
| 7 | 20 | |
| 8 | 10 | |
| 9 | 4 | |
| 10 | 16 | |
| 11 | 8 | |
| 12 | 33 | |
| 13 | 33 | |
| 14 | 18 | |
| 15 | 37 | |
| 16 | 90 | |
| 17 | 32 | |
| 18 | 40 | |
| 19 | 7 | |
| 20 | 49 |
About Francesca Baldini
Francesca Baldini is a scholar working on Biochemistry, Pharmacology and Computer Science Applications, having authored 33 papers that have together received 656 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), Phytochemicals and Antioxidant Activities (5 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Biochemistry (52 citations), Computer Vision and Pattern Recognition (92 citations) and Pharmacology (39 citations). Francesca Baldini has collaborated with scholars based in Italy, United States and Lebanon. Frequent co-authors include Laura Vergani, Adriana Voci, Piero Portincasa, Elena Grasselli, Aaron Steinfeld, Pete Trautman, Mohamad Khalil, Allan Wang, Christoforos Mavrogiannis and Jean Oh. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular 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.