Francesca Spyrakis
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 12
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 24
- Molecular Biology top 5%
- Protein Structure and Dynamics 28
- Heme Oxygenase-1 and Carbon Monoxide 10
- Biochemical and Molecular Research 7
- Photosynthetic Processes and Mechanisms 7
- Cell Biology top 5%
- Hemoglobin structure and function 16
- Biochemistry top 5%
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- Enzyme Structure and Function 10
- Co-authors
- Pietro CozziniAndrea MozzarelliGlen E. KelloggDonald J. AbrahamEleonora GianquintoDonatella TondiGabriele CrucianiClaudio N. Cavasotto
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of the American Chemical Society (3 papers)Nature Communications (1 paper)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Francesca Spyrakis
111 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 133
- Molecular Medicine 293
- Computational Theory and Mathematics 646
- Molecular Biology 1.7k
- Cell Biology 354
- Biochemistry 117
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
The 25 scholars most cited alongside Francesca Spyrakis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 19 | |
| 4 | 2022 | 11 | |
| 5 | 2022 | 10 | |
| 6 | 2021 | 6 | |
| 7 | 2021 | 35 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 35 | |
| 10 | 2020 | 10 | |
| 11 | 2020 | 13 | |
| 12 | 2020 | 54 | |
| 13 | 2020 | 9 | |
| 14 | 2019 | 24 | |
| 15 | 2019 | 13 | |
| 16 | 2018 | 16 | |
| 17 | 2018 | 9 | |
| 18 | 2017 | 26 | |
| 19 | 2017 | 36 | |
| 20 | 2016 | 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), Hemoglobin structure and function (16 papers), Antibiotic Resistance in Bacteria (12 papers), Enzyme Structure and Function (10 papers), Heme Oxygenase-1 and Carbon Monoxide (10 papers), Biochemical and Molecular Research (7 papers) and Photosynthetic Processes and Mechanisms (7 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.