Francesca Spyrakis
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.5%
- Materials Chemistry top 10%
- Cell Biology top 5%
- Organic Chemistry top 10%
- Co-authors
- Pietro CozziniAndrea MozzarelliGlen E. KelloggDonald J. AbrahamEleonora GianquintoDonatella TondiGabriele CrucianiClaudio N. Cavasotto
- Topics
- Protein Structure and Dynamics (28 papers)Computational Drug Discovery Methods (24 papers)Hemoglobin structure and function (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNature Communications
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Francesca Spyrakis
111 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 133
- Molecular Biology 1.7k
- Computational Theory and Mathematics 646
- Materials Chemistry 410
- Cell Biology 354
- Organic Chemistry 306
Countries citing papers authored by Francesca Spyrakis
This map shows the geographic impact of Francesca Spyrakis'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 Spyrakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Spyrakis more than expected).
Fields of papers citing papers by Francesca Spyrakis
This network shows the impact of papers produced by Francesca Spyrakis. 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 Spyrakis. The network helps show where Francesca Spyrakis may publish in the future.
Co-authorship network of co-authors of Francesca Spyrakis
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Spyrakis. A scholar is included among the top collaborators of Francesca Spyrakis 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 Spyrakis. Francesca Spyrakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 19 | |
| 4 | 11 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 35 | |
| 8 | 10 | |
| 9 | 35 | |
| 10 | 10 | |
| 11 | 13 | |
| 12 | 54 | |
| 13 | 9 | |
| 14 | 24 | |
| 15 | 13 | |
| 16 | 16 | |
| 17 | 9 | |
| 18 | 26 | |
| 19 | 36 | |
| 20 | 18 |
About Francesca Spyrakis
Francesca Spyrakis is a scholar working on Molecular Medicine, Computational Theory and Mathematics and Cell Biology, having authored 113 papers that have together received 2.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (28 papers), Computational Drug Discovery Methods (24 papers) and Hemoglobin structure and function (16 papers). The work is most often cited by research in Molecular Medicine (293 citations), Computational Theory and Mathematics (646 citations) and Molecular Biology (1.7k citations). Francesca Spyrakis has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Pietro Cozzini, Andrea Mozzarelli, Glen E. Kellogg, Donald J. Abraham, Eleonora Gianquinto, Donatella Tondi, Gabriele Cruciani, Claudio N. Cavasotto, Micaela Fornabaio and Cristiano Viappiani. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.
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.